435 Publikationen

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  • [435]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2988102
    Chen, Xinan, Bai, Ruibin, Qu, Rong, Dong, Jing, and Jin, Yaochu. “Deep Reinforcement Learning Assisted Genetic Programming Ensemble Hyper-Heuristics for Dynamic Scheduling of Container Port Trucks”. IEEE Transactions on Evolutionary Computation (2024): 1-1.
    PUB | DOI
     
  • [434]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2988103
    Wu, Haofeng, Jin, Yaochu, Gao, Kailai, Ding, Jinliang, and Cheng, Ran. “Surrogate-Assisted Evolutionary Multi-Objective Optimization of Medium-Scale Problems by Random Grouping and Sparse Gaussian Modeling”. IEEE Transactions on Emerging Topics in Computational Intelligence (2024): 1-16.
    PUB | DOI
     
  • [433]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2988030
    Pan, Linqiang, Lin, Jianqing, Wang, Handing, He, Cheng, Tan, Kay Chen, and Jin, Yaochu. “Computationally Expensive High-Dimensional Multiobjective Optimization via Surrogate-Assisted Reformulation and Decomposition”. IEEE Transactions on Evolutionary Computation (2024): 1-1.
    PUB | DOI
     
  • [432]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2987810
    Tan, Xiaoyu, Qu, Chao, Xiong, Junwu, Zhang, James, Qiu, Xihe, and Jin, Yaochu. “Model-Based Off-Policy Deep Reinforcement Learning With Model-Embedding”. IEEE Transactions on Emerging Topics in Computational Intelligence (2024): 1-13.
    PUB | DOI
     
  • [431]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2987559
    Liu, Shiqing, Yan, Xueming, and Jin, Yaochu. “An edge-aware graph autoencoder trained on scale-imbalanced data for traveling salesman problems”. Knowledge-Based Systems (2024): 111559.
    PUB | DOI
     
  • [430]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2987549
    Wu, Leming, Jin, Yaochu, Yan, Yuping, and Hao, Kuangrong. “FL-OTCSEnc: Towards secure federated learning with deep compressed sensing”. Knowledge-Based Systems 291 (2024): 111534.
    PUB | DOI
     
  • [429]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2987476
    Qian, Feng, Jin, Yaochu, Yu, Xinghuo, Tang, Yang, and Marin, Guy B. “Guest Editorial Special Issue on Learning Theories and Methods With Application to Digitized Process Manufacturing”. IEEE Transactions on Neural Networks and Learning Systems 35.3 (2024): 2914-2916.
    PUB | DOI
     
  • [428]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2987419
    Wu, Haofeng, Chen, Qingda, Jin, Yaochu, Ding, Jinliang, and Chai, Tianyou. “A Surrogate-Assisted Expensive Constrained Multi-Objective Optimization Algorithm Based on Adaptive Switching of Acquisition Functions”. IEEE Transactions on Emerging Topics in Computational Intelligence (2024): 1-15.
    PUB | DOI
     
  • [427]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2987288
    Xie, Guoyang, Wang, Jinbao, Liu, Jiaqi, Lyu, Jiayi, Liu, Yong, Wang, Chengjie, Zheng, Feng, and Jin, Yaochu. “IM-IAD: Industrial Image Anomaly Detection Benchmark in Manufacturing”. IEEE Transactions on Cybernetics (2024): 1-14.
    PUB | DOI
     
  • [426]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2987055
    Yang, Zhen, Zhang, Jie, Jiang, Yunliang, and Jin, Yaochu. “An Energy-Efficient Convolution-Based Partitioned Collaborative Perception Algorithm for Large-Scale IoT Services”. IEEE Transactions on Industrial Informatics (2024): 1-10.
    PUB | DOI
     
  • [425]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2987054
    Yue, Peng, Jin, Yaochu, Dai, Xuewu, Feng, Zhenhua, and Cui, Dongliang. “Reinforcement Learning for Scalable Train Timetable Rescheduling With Graph Representation”. IEEE Transactions on Intelligent Transportation Systems (2024): 1-14.
    PUB | DOI
     
  • [424]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2986971
    Luo, Jianping, Dong, Yongfei, Liu, Qiqi, Zhu, Zexuan, Cao, Wenming, Tan, Kay Chen, and Jin, Yaochu. “A New Multitask Joint Learning Framework for Expensive Multi-Objective Optimization Problems”. IEEE Transactions on Emerging Topics in Computational Intelligence (2024): 1-16.
    PUB | DOI
     
  • [423]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2986970
    Song, Zhenshou, Wang, Handing, Xue, Bing, Zhang, Mengjie, and Jin, Yaochu. “Balancing Objective Optimization and Constraint Satisfaction in Expensive Constrained Evolutionary Multi-Objective Optimization”. IEEE Transactions on Evolutionary Computation (2024): 1-1.
    PUB | DOI
     
  • [422]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2986969
    Liu, Yuanchao, Liu, Jianchang, Ding, Jinliang, Yang, Shangshang, and Jin, Yaochu. “A Surrogate-Assisted Differential Evolution with Knowledge Transfer for Expensive Incremental Optimization Problems”. IEEE Transactions on Evolutionary Computation (2024): 1-1.
    PUB | DOI
     
  • [421]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2986078 OA
    Liu, Jiaqi, Xie, Guoyang, Wang, Jinbao, Li, Shangnian, Wang, Chengjie, Zheng, Feng, and Jin, Yaochu. “Deep Industrial Image Anomaly Detection: A Survey”. Machine Intelligence Research 21.1 (2024): 104-135.
    PUB | PDF | DOI | WoS
     
  • [420]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2986574
    Qiu, Xihe, Qian, Jiahui, Wang, Haoyu, Tan, Xiaoyu, and Jin, Yaochu. “An attentive Copula-based spatio-temporal graph model for multivariate time-series forecasting”. Applied Soft Computing (2024): 111324.
    PUB | DOI
     
  • [419]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2986532
    Ming, Fei, Gong, Wenyin, and Jin, Yaochu. “Even Search in a Promising Region for Constrained Multi-Objective Optimization”. IEEE/CAA Journal of Automatica Sinica 11.2 (2024): 474-486.
    PUB | DOI
     
  • [418]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2986443
    Zhang, Wanting, Du, Wei, Yu, Guo, He, Renchu, Du, Wenli, and Jin, Yaochu. “Knowledge-Assisted Dual-Stage Evolutionary Optimization of Large-Scale Crude Oil Scheduling”. IEEE Transactions on Emerging Topics in Computational Intelligence (2024): 1-15.
    PUB | DOI
     
  • [417]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2985956
    Jin, Yaochu. “CIS-ing in an Uncertain World [President's Message]”. IEEE Computational Intelligence Magazine 19.1 (2024): 4-5.
    PUB | DOI
     
  • [416]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2983805
    Xie, Guoyang, Huang, Yawen, Wang, Jinbao, Lyu, Jiayi, Zheng, Feng, Zheng, Yefeng, and Jin, Yaochu. “Cross-modality Neuroimage Synthesis: A Survey”. ACM Computing Surveys 56.3 (2024): 1-28.
    PUB | DOI | WoS
     
  • [415]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2982949
    Li, Nan, Ma, Lianbo, Yu, Guo, Xue, Bing, Zhang, Mengjie, and Jin, Yaochu. “Survey on Evolutionary Deep Learning: Principles, Algorithms, Applications, and Open Issues”. ACM Computing Surveys 56.2 (2024): 1-34.
    PUB | DOI
     
  • [414]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2979758 OA
    Yan, Xueming, Jin, Yaochu, Ke, Xiaohua, and Hao, Zhifeng. “Multi-task evolutionary optimization of multi-echelon location routing problems via a hierarchical fuzzy graph”. Complex & Intelligent Systems 9 (2023).
    PUB | PDF | DOI | WoS
     
  • [413]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2980780 OA
    Xie, Guoyang, Wang, Jinbao, Yu, Guo, Lyu, Jiayi, Zheng, Feng, and Jin, Yaochu. “Tiny adversarial multi-objective one-shot neural architecture search”. Complex & Intelligent Systems 9 (2023).
    PUB | PDF | DOI | Download (ext.) | WoS
     
  • [412]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2983718
    Lei, Tao, Xu, Yetong, Ning, Hailong, Lv, Zhiyong, Min, Chongdan, Jin, Yaochu, and Nandi, Asoke K. “Lightweight Structure-aware Transformer Network for Remote Sensing Image Change Detection”. IEEE Geoscience and Remote Sensing Letters (2023): 1-1.
    PUB | DOI | WoS
     
  • [411]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2982935
    Zhang, Xi, Jin, Yaochu, and Qian, Feng. “A self-adaptive dynamic multi-objective optimization algorithm based on transfer learning and elitism-based mutation”. Neurocomputing (2023): 126761.
    PUB | DOI | WoS
     
  • [410]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2985552
    Li, Fei, Shang, Zhengkun, Liu, Yuanchao, Shen, Hao, and Jin, Yaochu. “Inverse distance weighting and radial basis function based surrogate model for high-dimensional expensive multi-objective optimization”. Applied Soft Computing (2023): 111194.
    PUB | DOI | WoS
     
  • [409]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2985124
    Yang, Cuie, Ding, Jinliang, Jin, Yaochu, and Chai, Tianyou. “A Data Stream Ensemble Assisted Multifactorial Evolutionary Algorithm for Offline Data-Driven Dynamic Optimization”. Evolutionary Computation 31.4 (2023): 433-458.
    PUB | DOI | WoS | PubMed | Europe PMC
     
  • [408]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2983502
    Liu, Qiqi, Yan, Yuping, Ligeti, Péter, and Jin, Yaochu. “A Secure Federated Data-Driven Evolutionary Multi-Objective Optimization Algorithm”. IEEE Transactions on Emerging Topics in Computational Intelligence (2023): 1-15.
    PUB | DOI | WoS
     
  • [407]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2985405
    Zhang, Mengxuan, Liu, Long, Jin, Yaochu, Lei, Zhikun, Wang, Zhigang, and Jiao, Licheng. “Tree-shaped multiobjective evolutionary CNN for hyperspectral image classification”. Applied Soft Computing (2023): 111176.
    PUB | DOI
     
  • [406]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2983757
    Liu, Qiqi, Lanfermann, Felix, Rodemann, Tobias, Olhofer, Markus, and Jin, Yaochu. “Surrogate-Assisted Many-Objective Optimization of Building Energy Management”. IEEE Computational Intelligence Magazine 18.4 (2023): 14-28.
    PUB | DOI | WoS
     
  • [405]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2985020
    Liu, Qiqi, Yan, Yuping, Jin, Yaochu, Wang, Xilu, Ligeti, Peter, Yu, Guo, and Yan, Xueming. “Secure Federated Evolutionary Optimization—A Survey”. Engineering (2023).
    PUB | DOI
     
  • [404]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2983244
    Xue, Dinghua, Lei, Tao, Yang, Shuangming, Lv, Zhiyong, Liu, Tongfei, Jin, Yaochu, and Nandi, Asoke K. “Triple Change Detection Network via Joint Multi-frequency and Full-scale Swin-Transformer for Remote Sensing Images”. IEEE Transactions on Geoscience and Remote Sensing (2023): 1-1.
    PUB | DOI | WoS
     
  • [403]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2984612 OA
    Liu, Jia, and Jin, Yaochu. “A comprehensive survey of robust deep learning in computer vision”. Journal of Automation and Intelligence (2023).
    PUB | PDF | DOI | Download (ext.)
     
  • [402]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2984426
    Yang, Shuangming, Wang, Haowen, Pang, Yanwei, Jin, Yaochu, and Linares-Barranco, Bernabé. “Integrating Visual Perception With Decision Making in Neuromorphic Fault-Tolerant Quadruplet-Spike Learning Framework”. IEEE Transactions on Systems, Man, and Cybernetics: Systems (2023): 1-13.
    PUB | DOI
     
  • [401]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2984065
    Wang, Xilu, Jin, Yaochu, Schmitt, Sebastian, and Olhofer, Markus. “Recent Advances in Bayesian Optimization”. ACM Computing Surveys 55.13S (2023): 287.
    PUB | DOI | WoS
     
  • [400]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2982971
    Yan, Xueming, Fang, Zhihang, and Jin, Yaochu. “An adaptive n-gram transformer for multi-scale scene text recognition”. Knowledge-Based Systems (2023): 110964.
    PUB | DOI | WoS
     
  • [399]
    2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2983916
    Wang, Zhaoxin, Wang, Handing, Tian, Cong, Jin, Yaochu, El Saddik, Abdulmotaleb, Mei, Tao, Cucchiara, Rita, Bertini, Marco, Tobon Vallejo, Diana Patricia, Atrey, Pradeep K., and Hossain, M. Shamim. “Adversarial Training of Deep Neural Networks Guided by Texture and Structural Information”. Proceedings of the 31st ACM International Conference on Multimedia. New York, NY, USA: ACM, 2023. 4958-4967.
    PUB | DOI
     
  • [398]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2983734
    Zhang, Yajie, Tian, Ye, Jiang, Hao, Zhang, Xingyi, and Jin, Yaochu. “Design and analysis of helper-problem-assisted evolutionary algorithm for constrained multiobjective optimization”. Information Sciences 648 (2023): 119547.
    PUB | DOI | WoS
     
  • [397]
    2023 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2983444
    Jiang, Hao, Chou, Kang, Tian, Ye, Zhang, Xingyi, and Jin, Yaochu. “Efficient Surrogate Modeling Method for Evolutionary Algorithm to Solve Bilevel Optimization Problems”. IEEE Transactions on Cybernetics (2023).
    PUB | DOI | WoS | PubMed | Europe PMC
     
  • [396]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2981615
    Wu, Leming, Jin, Yaochu, and Hao, Kuangrong. “Optimized compressed sensing for communication efficient federated learning”. Knowledge-Based Systems (2023): 110805.
    PUB | DOI | Download (ext.) | WoS
     
  • [395]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2983378
    Liu, Qiqi, Yan, Yuping, and Jin, Yaochu. “Privacy-Preserving Federated Bayesian Optimization with Learnable Noise”. Information Sciences (2023): 119739.
    PUB | DOI
     
  • [394]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2983299
    Zhang, Tuo, Wang, Handing, Yuan, Bo, Jin, Yaochu, and Yao, Xin. “Surrogate-Assisted Evolutionary -Learning for Black-Box Dynamic Time-Linkage Optimization Problems”. IEEE Transactions on Evolutionary Computation 27.5 (2023): 1162-1176.
    PUB | DOI
     
  • [393]
    2023 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2983166
    Li, Huiting, Jin, Yaochu, and Chai, Tianyou. “Evolutionary Multi-Objective Bayesian Optimization Based on Multisource Online Transfer Learning”. IEEE Transactions on Emerging Topics in Computational Intelligence (2023).
    PUB | DOI | WoS
     
  • [392]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2983214
    Si, Langchun, Zhang, Xingyi, Tian, Ye, Yang, Shangshang, Zhang, Limiao, and Jin, Yaochu. “Linear Subspace Surrogate Modeling for Large-Scale Expensive Single/Multi-Objective Optimization”. IEEE Transactions on Evolutionary Computation (2023): 1-1.
    PUB | DOI
     
  • [391]
    2023 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2982658
    Wang, Xilu, Jin, Yaochu, Schmitt, Sebastian, and Olhofer, Markus. “Alleviating Search Bias in Bayesian Evolutionary Optimization With Many Heterogeneous Objectives”. IEEE Transactions on Systems, Man, and Cybernetics: Systems (2023): 1-13.
    PUB | DOI | Download (ext.) | WoS
     
  • [390]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2983126
    Luo, Wenjian, Jin, Yaochu, and Huang, Catherine. “Guest Editorial: Special Issue on Security and Privacy in Machine Learning”. IEEE Transactions on Artificial Intelligence 4.5 (2023): 986-987.
    PUB | DOI
     
  • [389]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2983127
    Zhu, Hangyu, Wang, Rui, Jin, Yaochu, and Liang, Kaitai. “PIVODL: Privacy-Preserving Vertical Federated Learning Over Distributed Labels”. IEEE Transactions on Artificial Intelligence 4.5 (2023): 988-1001.
    PUB | DOI
     
  • [388]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2982907
    Ma, Lianbo, Li, Nan, Yu, Guo, Geng, Xiaoyu, Cheng, Shi, Wang, Xingwei, Huang, Min, and Jin, Yaochu. “Pareto-Wise Ranking Classifier for Multi-Objective Evolutionary Neural Architecture Search”. IEEE Transactions on Evolutionary Computation (2023): 1-1.
    PUB | DOI
     
  • [387]
    2023 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2982782
    Yan, Xueming, Huang, Han, Jin, Yaochu, Chen, Liang, Liang, Zhanning, and Hao, Zhifeng. “Neural Architecture Search via Multi-Hashing Embedding and Graph Tensor Networks for Multilingual Text Classification”. IEEE Transactions on Emerging Topics in Computational Intelligence (2023).
    PUB | DOI | WoS
     
  • [386]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2980810
    Wang, Rongsheng, Zhang, Qi, Dai, Xuewu, Yuan, Zhiming, Zhang, Tao, Ding, Shuxin, and Jin, Yaochu. “An efficient evolutionary algorithm for high-speed train rescheduling under a partial station blockage”. Applied Soft Computing 145 (2023): 110590.
    PUB | DOI | Download (ext.) | WoS
     
  • [385]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2979431
    Liu, Qiang, Fan, Jialu, Zhang, Jin-Xi, and Jin, Yaochu. “Guest Editorial: Advanced Intelligent Manufacturing System: Theory, Algorithms, and Industrial Applications”. IEEE Transactions on Industrial Informatics 19.6 (2023): 7720-7723.
    PUB | DOI | WoS
     
  • [384]
    2023 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2982416
    Yan, Yuping, Kamel, Mohammed B. M., Zoltay, Marcell, Gal, Marcell, Hollos, Roland, Jin, Yaochu, Peter, Ligeti, and Tenyi, Akos. “Fedlabx: a practical and privacy-preserving framework for federated learning”. Complex & Intelligent Systems (2023).
    PUB | DOI | WoS
     
  • [383]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2981362
    Ma, Lianbo, Liu, Yang, Yu, Guo, Wang, Xinzhe, Mo, Hongwei, Wang, Gai-Ge, Jin, Yaochu, and Tan, Ying. “Decomposition-Based Multiobjective Optimization for Variable-Length Mixed-Variable Pareto Optimization and Its Application in Cloud Service Allocation”. IEEE Transactions on Systems, Man, and Cybernetics: Systems (2023): 1-14.
    PUB | DOI | Download (ext.) | WoS
     
  • [382]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2981804
    Li, Hongbin, Ma, Chaojun, Zhang, Chuanji, Chen, Qing, He, Cheng, and Jin, Yaochu. “A Knowledge-Based Cooperative Co-Evolutionary Algorithm for Non-Contact Voltage Measurement”. IEEE Transactions on Emerging Topics in Computational Intelligence (2023): 1-14.
    PUB | DOI | Download (ext.) | WoS
     
  • [381]
    2023 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2978326
    Qin, Shufen, Sun, Chaoli, Liu, Qiqi, and Jin, Yaochu. “A Performance Indicator Based Infill Criterion for Expensive Multi-/Many-objective Optimization”. IEEE Transactions on Evolutionary Computation (2023): 1-1.
    PUB | DOI | Download (ext.) | WoS
     
  • [380]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2982281
    Yue, Peng, Jin, Yaochu, Dai, Xuewu, Feng, Zhenhua, and Cui, Dongliang. “Reinforcement Learning for Online Dispatching Policy in Real-Time Train Timetable Rescheduling”. IEEE Transactions on Intelligent Transportation Systems (2023): 1-13.
    PUB | DOI
     
  • [379]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2982169
    Yazdani, Danial, Omidvar, Mohammad Nabi, Yazdani, Donya, Branke, Jürgen, Nguyen, Trung Thanh, Gandomi, Amir H., Jin, Yaochu, and Yao, Xin. “Robust Optimization Over Time: A Critical Review”. IEEE Transactions on Evolutionary Computation (2023): 1-1.
    PUB | DOI | Download (ext.)
     
  • [378]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2981956
    Liu, Jia, Cheng, Ran, and Jin, Yaochu. “Bi-fidelity evolutionary multiobjective search for adversarially robust deep neural architectures”. Neurocomputing 550 (2023): 126465.
    PUB | DOI | WoS
     
  • [377]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2981136
    Wang, Shuai, Ding, Beichen, and Jin, Yaochu. “A Multi-Factorial Evolutionary Algorithm With Asynchronous Optimization Processes for Solving the Robust Influence Maximization Problem”. IEEE Computational Intelligence Magazine 18.3 (2023): 41-53.
    PUB | DOI | Download (ext.) | WoS
     
  • [376]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2979584
    Wu, Yapei, Peng, Xingguang, Wang, Handing, Jin, Yaochu, and Xu, Demin. “Cooperative Coevolutionary CMA-ES With Landscape-Aware Grouping in Noisy Environments”. IEEE Transactions on Evolutionary Computation 27.3 (2023): 686-700.
    PUB | DOI | Download (ext.) | WoS
     
  • [375]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2980955
    Fan, Zhun, Wang, Zhaojun, Li, Wenji, Zhu, Xiaomin, Hu, Bingliang, Zou, An-Min, Bao, Weidong, Gu, Minqiang, Hao, Zhifeng, and Jin, Yaochu. “Automated pattern generation for swarm robots using constrained multi-objective genetic programming”. Swarm and Evolutionary Computation 81 (2023): 101337.
    PUB | DOI | WoS
     
  • [374]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2980536
    Wang, Jinbao, Xie, Guoyang, Huang, Yawen, Lyu, Jiayi, Zheng, Feng, Zheng, Yefeng, and Jin, Yaochu. “FedMed-GAN: Federated domain translation on unsupervised cross- modality brain image synthesis”. Neurocomputing 546 (2023): 126282.
    PUB | DOI | WoS
     
  • [373]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2979947
    Song, Zhenshou, Wang, Handing, and Jin, Yaochu. “A Surrogate-Assisted Evolutionary Framework With Regions of Interests-Based Data Selection for Expensive Constrained Optimization”. IEEE Transactions on Systems, Man, and Cybernetics: Systems (2023): 1-13.
    PUB | DOI | Download (ext.) | WoS
     
  • [372]
    2023 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2979307
    Guo, Hongliang, Peng, Qihang, Cao, Zhiguang, and Jin, Yaochu. “DRL-Searcher: A Unified Approach to Multirobot Efficient Search for a Moving Target”. IEEE Transactions on Neural Networks and Learning Systems (2023): 1-14.
    PUB | DOI | WoS | PubMed | Europe PMC
     
  • [371]
    2023 | Zeitschriftenaufsatz | Im Druck | PUB-ID: 2978720
    Yang, Shuangming, Pang, Yanwei, Wang, Haowen, Lei, Tao, Pan, Jing, Wang, Jian, and Jin, Yaochu. “Spike-Driven Multi-Scale Learning with Hybrid Mechanisms of Spiking Dendrites”. Neurocomputing (In Press): 126240.
    PUB | DOI | Download (ext.) | WoS
     
  • [370]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2979725
    Zhang, Xi, Yu, Guo, Jin, Yaochu, and Qian, Feng. “An adaptive Gaussian process based manifold transfer learning to expensive dynamic multi-objective optimization”. NEUROCOMPUTING 538 (2023): 126212.
    PUB | DOI | WoS
     
  • [369]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978320
    Zhang, Xi, Yu, Guo, Jin, Yaochu, and Qian, Feng. “Elitism-based transfer learning and diversity maintenance for dynamic multi-objective optimization”. Information Sciences 636 (2023): 118927.
    PUB | DOI | Download (ext.) | WoS
     
  • [368]
    2023 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2978768
    Ntelemis, Foivos, Jin, Yaochu, and Thomas, Spencer A. “A Generic Self-Supervised Framework of Learning Invariant Discriminative Features”. IEEE Transactions on Neural Networks and Learning Systems (2023): 1-15.
    PUB | DOI | Download (ext.) | WoS | PubMed | Europe PMC
     
  • [367]
    2023 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2979669
    Zhu, Hangyu, Wang, Xilu, and Jin, Yaochu. “Federated Many-Task Bayesian Optimization”. IEEE Transactions on Evolutionary Computation (2023): 1-1.
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    2023 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2978681
    Guo, Hongliang, Sheng, Wenda, Gao, Chen, and Jin, Yaochu. “DRL Router: Distributional Reinforcement Learning-Based Router for Reliable Shortest Path Problems”. IEEE Intelligent Transportation Systems Magazine (2023): 2-19.
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    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978322
    Yang, Zhen, Zhang, Jie, Jiang, Yunliang, and Jin, Yaochu. “A Self-Organizing IoT Service Perception Algorithm Based on Human Visual Direction-Sensitive System”. IEEE Internet of Things Journal 10.7 (2023): 6193-6204.
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    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978328 OA
    Lei, Tao, Geng, Xinzhe, Ning, Hailong, Lv, Zhiyong, Gong, Maoguo, Jin, Yaochu, and Nandi, Asoke K. “Ultralightweight Spatial–Spectral Feature Cooperation Network for Change Detection in Remote Sensing Images”. IEEE Transactions on Geoscience and Remote Sensing 61 (2023): 1-14.
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    2023 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2978321
    Wang, Xilu, and Jin, Yaochu. “Personalized Bayesian optimization for noisy problems”. Complex & Intelligent Systems (2023).
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    2023 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2978327
    Lu, Zhichao, Cheng, Ran, Jin, Yaochu, Tan, Kay Chen, and Deb, Kalyanmoy. “Neural Architecture Search as Multiobjective Optimization Benchmarks: Problem Formulation and Performance Assessment”. IEEE Transactions on Evolutionary Computation (2023): 1-1.
    PUB | DOI | Download (ext.)
     
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    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978382
    Xiao, Yan, Jin, Yaochu, and Hao, Kuangrong. “Adaptive Prototypical Networks With Label Words and Joint Representation Learning for Few-Shot Relation Classification”. IEEE Transactions on Neural Networks and Learning Systems 34.3 (2023): 1406-1417.
    PUB | DOI | Download (ext.)
     
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    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978348 OA
    Chen, Meirong, Guo, Yinan, Jin, Yaochu, Yang, Shengxiang, Gong, Dunwei, and Yu, Zekuan. “An environment-driven hybrid evolutionary algorithm for dynamic multi-objective optimization problems”. Complex & Intelligent Systems 9.1 (2023): 659-675.
    PUB | PDF | DOI | Download (ext.)
     
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    2023 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2978325
    Hou, Yaqing, Sun, Mingyang, Zeng, Yifeng, Ong, Yew-Soon, Jin, Yaochu, Ge, Hongwei, and Zhang, Qiang. “A Multi-agent Cooperative Learning System with Evolution of Social Roles”. IEEE Transactions on Evolutionary Computation (2023): 1-14.
    PUB | DOI | Download (ext.)
     
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    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978323
    Tian, Ye, Pan, Jingwen, Yang, Shangshang, Zhang, Xingyi, He, Shuping, and Jin, Yaochu. “Imperceptible and Sparse Adversarial Attacks via a Dual-Population-Based Constrained Evolutionary Algorithm”. IEEE Transactions on Artificial Intelligence 4.2 (2023): 268-281.
    PUB | DOI | Download (ext.)
     
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    2023 | Konferenzbeitrag | PUB-ID: 2978670
    Liu, Shiqing, Wang, Xilu, and Jin, Yaochu. “Federated Bayesian for privacy-preserving neural architecture search”. Presented at the Congress on Evolutionary Computation, Chicago, IL, USA, 2023.
    PUB
     
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    2023 | Konferenzbeitrag | PUB-ID: 2978333
    Liao, Peng, Jin, Yaochu, and Du, Wenli. “EMT-NAS: Transferring architectural knowledge between tasks from different datasets”. Presented at the The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2023 (CVPR 2023), Vancouver, Canada, 2023.
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    2023 | Konferenzbeitrag | PUB-ID: 2978539
    Xie, Guoyang, Wang, Jinbao, Liu, Jiaqi, Jin, Yaochu, and Zheng, Feng. “Pushing the Limits of Fewshot Anomaly Detection in Industry Vision: Graphcore”. Presented at the The Eleventh International Conference on Learning Representations (ICLR 2023), 2023.
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    2023 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2969870
    He, Cheng, Li, Lianghao, Cheng, Ran, and Jin, Yaochu. “Evolutionary multiobjective optimization via efficient sampling-based offspring generation”. Complex & Intelligent Systems (2023).
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    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2969872
    Tian, Ye, Zhang, Xingyi, He, Cheng, Tan, Kay Chen, and Jin, Yaochu. “Principled Design of Translation, Scale, and Rotation Invariant Variation Operators for Metaheuristics”. Chinese Journal of Electronics 32.1 (2023): 111-129.
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    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2968288 OA
    Wang, Xilu, and Jin, Yaochu. “Knowledge Transfer Based on Particle Filters for Multi-Objective Optimization”. Mathematical and Computational Applications 28.1 (2023): 14.
    PUB | PDF | DOI | WoS
     
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    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2969532
    Liu, Yuanchao, Liu, Jianchang, Jin, Yaochu, Li, Fei, and Zheng, Tianzi. “A Surrogate-Assisted Two-Stage Differential Evolution for Expensive Constrained Optimization”. IEEE Transactions on Emerging Topics in Computational Intelligence (2023).
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    2023 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2969525
    Wang, Shuai, Jin, Yaochu, and Cai, Ming. “Enhancing the Robustness of Networks Against Multiple Damage Models Using a Multifactorial Evolutionary Algorithm”. IEEE Transactions on Systems, Man, and Cybernetics: Systems (2023).
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    2023 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2969196
    Yang, Shangshang, Wei, Haoyu, Ma, Haiping, Tian, Ye, Zhang, Xingyi, Cao, Yunbo, and Jin, Yaochu. “Cognitive Diagnosis-Based Personalized Exercise Group Assembly via a Multi-Objective Evolutionary Algorithm”. IEEE Transactions on Emerging Topics in Computational Intelligence (2023).
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    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2968520
    Tian, Ye, Zhu, Weijian, Zhang, Xingyi, and Jin, Yaochu. “A practical tutorial on solving optimization problems via PlatEMO”. Neurocomputing 518 (2023): 190-205.
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    2023 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2968517
    Zhou, Yan, Jin, Yaochu, Sun, Yao, and Ding, Jinliang. “Surrogate-Assisted Cooperative Co-evolutionary Reservoir Architecture Search for Liquid State Machines”. IEEE Transactions on Emerging Topics in Computational Intelligence (2023).
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    2022 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2978353
    He, Cheng, Cheng, Ran, Li, Lianghao, Tan, Kay Chen, and Jin, Yaochu. “Large-scale Multiobjective Optimization via Reformulated Decision Variable Analysis”. IEEE Transactions on Evolutionary Computation (2022): 1-1.
    PUB | DOI | Download (ext.) | WoS
     
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    2022 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2978346
    Chen, Minyang, Du, Wei, Tang, Yang, Jin, Yaochu, and Yen, Gary G. “A Decomposition Method for Both Additively and Non-additively Separable Problems”. IEEE Transactions on Evolutionary Computation (2022): 1-1.
    PUB | DOI | Download (ext.) | WoS
     
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    2022 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2978355
    Gu, Haoran, Wang, Handing, and Jin, Yaochu. “Surrogate-Assisted Differential Evolution with Adaptive Multi-Subspace Search for Large-Scale Expensive Optimization”. IEEE Transactions on Evolutionary Computation (2022): 1-1.
    PUB | DOI | Download (ext.) | WoS
     
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    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978332
    Wang, Xinjie, Jin, Yaochu, and Hao, Kuangrong. “Computational Modeling of Structural Synaptic Plasticity in Echo State Networks”. IEEE Transactions on Cybernetics 52.10 (2022): 11254-11266.
    PUB | DOI | Download (ext.)
     
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    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978334
    Yang, Shangshang, Tian, Ye, He, Cheng, Zhang, Xingyi, Tan, Kay Chen, and Jin, Yaochu. “A Gradient-Guided Evolutionary Approach to Training Deep Neural Networks”. IEEE Transactions on Neural Networks and Learning Systems 33.9 (2022): 4861-4875.
    PUB | DOI | Download (ext.)
     
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    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978335
    Tian, Ye, Peng, Shichen, Yang, Shangshang, Zhang, Xingyi, Tan, Kay Chen, and Jin, Yaochu. “Action Command Encoding for Surrogate-Assisted Neural Architecture Search”. IEEE Transactions on Cognitive and Developmental Systems 14.3 (2022): 1129-1142.
    PUB | DOI | Download (ext.)
     
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    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978336
    Tian, Ye, Zhang, Yajie, Su, Yansen, Zhang, Xingyi, Tan, Kay Chen, and Jin, Yaochu. “Balancing Objective Optimization and Constraint Satisfaction in Constrained Evolutionary Multiobjective Optimization”. IEEE Transactions on Cybernetics 52.9 (2022): 9559-9572.
    PUB | DOI | Download (ext.)
     
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    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978338
    Liu, Yuanchao, Liu, Jianchang, and Jin, Yaochu. “Surrogate-Assisted Multipopulation Particle Swarm Optimizer for High-Dimensional Expensive Optimization”. IEEE Transactions on Systems, Man, and Cybernetics: Systems 52.7 (2022): 4671-4684.
    PUB | DOI | Download (ext.)
     
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    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978339
    Xiang, Xiaoshu, Tian, Ye, Zhang, Xingyi, Xiao, Jianhua, and Jin, Yaochu. “A Pairwise Proximity Learning-Based Ant Colony Algorithm for Dynamic Vehicle Routing Problems”. IEEE Transactions on Intelligent Transportation Systems 23.6 (2022): 5275-5286.
    PUB | DOI | Download (ext.)
     
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    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978340
    Liu, Jianchang, Liu, Yuanchao, Jin, Yaochu, and Li, Fei. “A Decision Variable Assortment-Based Evolutionary Algorithm for Dominance Robust Multiobjective Optimization”. IEEE Transactions on Systems, Man, and Cybernetics: Systems 52.5 (2022): 3360-3375.
    PUB | DOI | Download (ext.)
     
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    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978331
    Wang, Xiangyu, Zhang, Kai, Wang, Jian, and Jin, Yaochu. “An Enhanced Competitive Swarm Optimizer With Strongly Convex Sparse Operator for Large-Scale Multiobjective Optimization”. IEEE Transactions on Evolutionary Computation 26.5 (2022): 859-871.
    PUB | DOI | Download (ext.)
     
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    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978330
    Wang, Sutong, Yin, Yunqiang, Wang, Dujuan, Wang, Yanzhang, and Jin, Yaochu. “Interpretability-Based Multimodal Convolutional Neural Networks for Skin Lesion Diagnosis”. IEEE Transactions on Cybernetics 52.12 (2022): 12623-12637.
    PUB | DOI | Download (ext.)
     
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    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978329
    Ntelemis, Foivos, Jin, Yaochu, and Thomas, Spencer A. “Image Clustering Using an Augmented Generative Adversarial Network and Information Maximization”. IEEE Transactions on Neural Networks and Learning Systems 33.12 (2022): 7461-7474.
    PUB | DOI | Download (ext.)
     
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    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978337
    Tian, Ye, Lu, Chang, Zhang, Xingyi, Cheng, Fan, and Jin, Yaochu. “A Pattern Mining-Based Evolutionary Algorithm for Large-Scale Sparse Multiobjective Optimization Problems”. IEEE Transactions on Cybernetics 52.7 (2022): 6784-6797.
    PUB | DOI | Download (ext.)
     
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    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978341
    Liu, Qiqi, Jin, Yaochu, Heiderich, Martin, Rodemann, Tobias, and Yu, Guo. “An Adaptive Reference Vector-Guided Evolutionary Algorithm Using Growing Neural Gas for Many-Objective Optimization of Irregular Problems”. IEEE Transactions on Cybernetics 52.5 (2022): 2698-2711.
    PUB | DOI | Download (ext.)
     
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    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978342
    Guo, Dan, Wang, Xilu, Gao, Kailai, Jin, Yaochu, Ding, Jinliang, and Chai, Tianyou. “Evolutionary Optimization of High-Dimensional Multiobjective and Many-Objective Expensive Problems Assisted by a Dropout Neural Network”. IEEE Transactions on Systems, Man, and Cybernetics: Systems 52.4 (2022): 2084-2097.
    PUB | DOI | Download (ext.)
     
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    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978343
    Zhu, Hangyu, and Jin, Yaochu. “Real-Time Federated Evolutionary Neural Architecture Search”. IEEE Transactions on Evolutionary Computation 26.2 (2022): 364-378.
    PUB | DOI | Download (ext.)
     
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    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978344
    Xu, Jinjin, Du, Wenli, Jin, Yaochu, He, Wangli, and Cheng, Ran. “Ternary Compression for Communication-Efficient Federated Learning”. IEEE Transactions on Neural Networks and Learning Systems 33.3 (2022): 1162-1176.
    PUB | DOI | Download (ext.)
     
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    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978345
    Du, Wei, Song, Wenjiang, Tang, Yang, Jin, Yaochu, and Qian, Feng. “Searching for Robustness Intervals in Evolutionary Robust Optimization”. IEEE Transactions on Evolutionary Computation 26.1 (2022): 58-72.
    PUB | DOI | Download (ext.)
     
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    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978347
    Qi, Sheng, Zou, Juan, Yang, Shengxiang, Jin, Yaochu, Zheng, Jinhua, and Yang, Xu. “A self-exploratory competitive swarm optimization algorithm for large-scale multiobjective optimization”. Information Sciences 609 (2022): 1601-1620.
    PUB | DOI | Download (ext.)
     
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    2022 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2978351
    Wang, Rui, Ersoy, Oguzhan, Zhu, Hangyu, Jin, Yaochu, and Liang, Kaitai. “FEVERLESS: Fast and Secure Vertical Federated Learning based on XGBoost for Decentralized Labels”. IEEE Transactions on Big Data (2022): 1-15.
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    2022 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2978349
    Wang, Xinjie, Jin, Yaochu, Du, Wenli, and Wang, Jun. “Evolving Dual-Threshold Bienenstock-Cooper-Munro Learning Rules in Echo State Networks”. IEEE Transactions on Neural Networks and Learning Systems (2022): 1-12.
    PUB | DOI | Download (ext.)
     
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    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978350
    Wang, Tonghao, Peng, Xingguang, Jin, Yaochu, and Xu, Demin. “Experience Sharing Based Memetic Transfer Learning for Multiagent Reinforcement Learning”. Memetic Computing 14.1 (2022): 3-17.
    PUB | DOI | Download (ext.)
     
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    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978352
    Chen, Qing, Jin, Yaochu, and Song, Yongduan. “Fault-tolerant adaptive tracking control of Euler-Lagrange systems – An echo state network approach driven by reinforcement learning”. Neurocomputing 484 (2022): 109-116.
    PUB | DOI | Download (ext.)
     
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    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978354 OA
    Brosnan, Patrick, Tian, Guohong, Zhang, Hongguang, Wu, Zhong, and Jin, Yaochu. “Non-linear and multi-domain modelling of a permanent magnet linear synchronous machine for free piston engine generators”. Energy Conversion and Management: X 14 (2022): 100195.
    PUB | PDF | DOI | Download (ext.)
     
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    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978385
    Tian, Ye, Si, Langchun, Zhang, Xingyi, Cheng, Ran, He, Cheng, Tan, Kay Chen, and Jin, Yaochu. “Evolutionary Large-Scale Multi-Objective Optimization: A Survey”. ACM Computing Surveys 54.8 (2022): 1-34.
    PUB | DOI | Download (ext.)
     
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    2022 | Konferenzbeitrag | PUB-ID: 2978672
    Xie, Guoyang, Wang, Jinbao, Huang, Yawen, Zheng, Yifeng, Zheng, Feng, and Jin, Yaochu. “FedMed-ATL: Misaligned unpaired brain image synthesis via affine transform loss”. Presented at the The 30th ACM International Conference on Multimedia (ACM MM 2022), Lisbon, Portugal, 2022.
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    2022 | Konferenzbeitrag | PUB-ID: 2978671
    Hong, Yitian, Jin, Yaochu, and Tang, Yang. “ Rethinking individual global max in cooperative multi-agent reinforcement learning”. Presented at the The Thirty-Sixth Annual Conference on Neural Information Processing Systems (NeurIPS 2022), New Orleans, USA, 2022.
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    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2967873
    Yu, Guo, Ma, Lianbo, Jin, Yaochu, Du, Wenli, Liu, Qiqi, and Zhang, Hengmin. “A Survey on Knee-Oriented Multiobjective Evolutionary Optimization”. IEEE Transactions on Evolutionary Computation 26.6 (2022): 1452-1472.
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    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2967881
    Tian, Ye, Feng, Yuandong, Wang, Chao, Cao, Ruifen, Zhang, Xingyi, Pei, Xi, Tan, Kay Chen, and Jin, Yaochu. “A Large-Scale Combinatorial Many-Objective Evolutionary Algorithm for Intensity-Modulated Radiotherapy Planning”. IEEE Transactions on Evolutionary Computation 26.6 (2022): 1511-1525.
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    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2967882
    Xiang, Xiaoshu, Tian, Ye, Cheng, Ran, Zhang, Xingyi, Yang, Shengxiang, and Jin, Yaochu. “A benchmark generator for online dynamic single-objective and multi-objective optimization problems”. Information Sciences 613 (2022): 591-608.
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    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2966986
    Li, Lianghao, He, Cheng, Cheng, Ran, Li, Hongbin, Pan, Linqiang, and Jin, Yaochu. “A fast sampling based evolutionary algorithm for million-dimensional multiobjective optimization”. Swarm and Evolutionary Computation 75 (2022): 101181.
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    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2966974
    Chen, Shaotao, Qiu, Xihe, Tan, Xiaoyu, Fang, Zhijun, and Jin, Yaochu. “A model-based hybrid soft actor-critic deep reinforcement learning algorithm for optimal ventilator settings”. Information Sciences 611 (2022): 47-64.
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    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2966360
    Zhang, Haoyu, Jin, Yaochu, and Hao, Kuangrong. “Evolutionary Search for Complete Neural Network Architectures With Partial Weight Sharing”. IEEE Transactions on Evolutionary Computation (T-EVC) 26.5 (2022): 1072-1086.
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    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2966363
    Tian, Ye, Chen, Haowen, Ma, Haiping, Zhang, Xingyi, Tan, Kay Chen, and Jin, Yaochu. “Integrating Conjugate Gradients Into Evolutionary Algorithms for Large-Scale Continuous Multi-Objective Optimization”. IEEE/CAA Journal of Automatica Sinica 9.10 (2022): 1801-1817.
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    2022 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2964655
    Tian, Ye, Si, Langchun, Zhang, Xingyi, Tan, Kay Chen, and Jin, Yaochu. “Local Model-Based Pareto Front Estimation for Multiobjective Optimization”. IEEE Transactions on Systems, Man, and Cybernetics: Systems (2022).
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    2022 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2964652
    Liu, Zhihua, Tong, Lei, Chen, Long, Jiang, Zheheng, Zhou, Feixiang, Zhang, Qianni, Zhang, Xiangrong, Jin, Yaochu, and Zhou, Huiyu. “Deep learning based brain tumor segmentation: a survey”. Complex & Intelligent Systems (2022).
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    2022 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2964649
    Liu, Qiqi, Jin, Yaochu, Heiderich, Martin, and Rodemann, Tobias. “Coordinated Adaptation of Reference Vectors and Scalarizing Functions in Evolutionary Many-Objective Optimization”. IEEE Transactions on Systems, Man, and Cybernetics: Systems (2022).
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    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2964349
    Ntelemis, Foivos, Jin, Yaochu, and Thomas, Spencer A. “Information maximization clustering via multi-view self-labelling”. Knowledge-Based Systems 250 (2022): 109042.
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    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2964066
    Wang, Xiangyu, Zhang, Bingran, Wang, Jian, Zhang, Kai, and Jin, Yaochu. “A Cluster-Based Competitive Particle Swarm Optimizer with a Sparse Truncation Operator for Multi-Objective Optimization”. Swarm and Evolutionary Computation 71 (2022): 101083.
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    2022 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2963829
    Liu, Zhening, Wang, Handing, and Jin, Yaochu. “Performance Indicator-Based Adaptive Model Selection for Offline Data-Driven Multiobjective Evolutionary Optimization”. IEEE Transactions on Cybernetics (2022).
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    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2963471
    Han, Dong, Du, Wenli, Jin, Yaochu, Du, Wei, and Yu, Guo. “A fuzzy constraint handling technique for decomposition-based constrained multi- and many-objective optimization”. Information Sciences 597 (2022): 318-340.
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    2022 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2963475
    Bai, Hui, Cheng, Ran, Yazdani, Danial, Tan, Kay Chen, and Jin, Yaochu. “Evolutionary Large-Scale Dynamic Optimization Using Bilevel Variable Grouping”. IEEE Transactions on Cybernetics (2022).
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    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2963022
    Liu, Qiqi, Jin, Yaochu, Heiderich, Martin, and Rodemann, Tobias. “Surrogate-assisted evolutionary optimization of expensive many-objective irregular problems”. Knowledge-Based Systems 240 (2022): 108197.
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    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2963021
    Qiu, Xihe, Tan, Xiaoyu, Li, Qiong, Chen, Shaotao, Ru, Yajun, and Jin, Yaochu. “A latent batch-constrained deep reinforcement learning approach for precision dosing clinical decision support”. Knowledge-Based Systems 237 (2022): 107689.
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    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2962699
    Ru, Yajun, Qiu, Xihe, Tan, Xiaoyu, Chen, Bin, Gao, Yongbin, and Jin, Yaochu. “Sparse-attentive meta temporal point process for clinical decision support”. Neurocomputing 485 (2022): 114-123.
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    2022 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2962704
    Liu, Qiqi, Cheng, Ran, Jin, Yaochu, Heiderich, Martin, and Rodemann, Tobias. “Reference Vector-Assisted Adaptive Model Management for Surrogate-Assisted Many-Objective Optimization”. IEEE Transactions on Systems, Man, and Cybernetics: Systems (2022).
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    2022 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2961885
    Tian, Ye, Li, Xiaopeng, Ma, Haiping, Zhang, Xingyi, Tan, Kay Chen, and Jin, Yaochu. “Deep Reinforcement Learning Based Adaptive Operator Selection for Evolutionary Multi-Objective Optimization”. IEEE Transactions on Emerging Topics in Computational Intelligence (2022).
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    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2959765
    Xiao, Yan, Jin, Yaochu, Cheng, Ran, and Hao, Kuangrong. “Hybrid attention-based transformer block model for distant supervision relation extraction”. Neurocomputing 470 (2022): 29-39.
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    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978359
    Wang, Sutong, Yin, Yunqiang, Wang, Dujuan, Lv, Zehui, Wang, Yanzhang, and Jin, Yaochu. “An interpretable deep neural network for colorectal polyp diagnosis under colonoscopy”. Knowledge-Based Systems 234 (2021): 107568.
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    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978360
    Shirazi, Ataollah Ramezan, and Jin, Yaochu. “Regulated Morphogen Gradients for Target Surrounding and Adaptive Shape Formation”. IEEE Transactions on Cognitive and Developmental Systems 13.4 (2021): 818-826.
    PUB | DOI | Download (ext.)
     
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    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978361
    Wang, Xilu, Jin, Yaochu, Schmitt, Sebastian, Olhofer, Markus, and Allmendinger, Richard. “Transfer learning based surrogate assisted evolutionary bi-objective optimization for objectives with different evaluation times”. Knowledge-Based Systems 227 (2021): 107190.
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    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2959044
    Wang, Xilu, Jin, Yaochu, Schmitt, Sebastian, and Olhofer, Markus. “Transfer Learning Based Co-surrogate Assisted Evolutionary Bi-objective Optimization for Objectives with Non-uniform Evaluation Times”. Evolutionary computation 30.2 (2021): 221–251.
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    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978363
    Yazdani, Danial, Cheng, Ran, Yazdani, Donya, Branke, Jurgen, Jin, Yaochu, and Yao, Xin. “A Survey of Evolutionary Continuous Dynamic Optimization Over Two Decades - Part B”. IEEE Transactions on Evolutionary Computation 25.4 (2021): 630-650.
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    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978362
    Yazdani, Danial, Cheng, Ran, Yazdani, Donya, Branke, Jurgen, Jin, Yaochu, and Yao, Xin. “A Survey of Evolutionary Continuous Dynamic Optimization Over Two Decades - Part A”. IEEE Transactions on Evolutionary Computation 25.4 (2021): 609-629.
    PUB | DOI | Download (ext.)
     
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    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978364
    Qian, Feng, Jin, Yaochu, Qin, S. Joe, and Sundmacher, Kai. “Guest Editorial Special Issue on Deep Integration of Artificial Intelligence and Data Science for Process Manufacturing”. IEEE Transactions on Neural Networks and Learning Systems 32.8 (2021): 3294-3295.
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    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978365
    Qin, Shufen, Sun, Chaoli, Jin, Yaochu, Tan, Ying, and Fieldsend, Jonathan. “Large-Scale Evolutionary Multiobjective Optimization Assisted by Directed Sampling”. IEEE Transactions on Evolutionary Computation 25.4 (2021): 724-738.
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    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978366
    Wang, Shuai, Liu, Jing, and Jin, Yaochu. “A Computationally Efficient Evolutionary Algorithm for Multiobjective Network Robustness Optimization”. IEEE Transactions on Evolutionary Computation 25.3 (2021): 419-432.
    PUB | DOI | Download (ext.)
     
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    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978370
    Tian, Ye, Lu, Chang, Zhang, Xingyi, Tan, Kay Chen, and Jin, Yaochu. “Solving Large-Scale Multiobjective Optimization Problems With Sparse Optimal Solutions via Unsupervised Neural Networks”. IEEE Transactions on Cybernetics 51.6 (2021): 3115-3128.
    PUB | DOI | Download (ext.)
     
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    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978371
    Chen, Huangke, Cheng, Ran, Pedrycz, Witold, and Jin, Yaochu. “Solving Many-Objective Optimization Problems via Multistage Evolutionary Search”. IEEE Transactions on Systems, Man, and Cybernetics: Systems 51.6 (2021): 3552-3564.
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    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978372
    Zhu, Hangyu, Zhang, Haoyu, and Jin, Yaochu. “From federated learning to federated neural architecture search: a survey”. Complex & Intelligent Systems 7.2 (2021): 639-657.
    PUB | DOI | Download (ext.)
     
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    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978373
    Zhang, Haoyu, Jin, Yaochu, Cheng, Ran, and Hao, Kuangrong. “Efficient Evolutionary Search of Attention Convolutional Networks via Sampled Training and Node Inheritance”. IEEE Transactions on Evolutionary Computation 25.2 (2021): 371-385.
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    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978374
    Tian, Ye, Zhang, Tao, Xiao, Jianhua, Zhang, Xingyi, and Jin, Yaochu. “A Coevolutionary Framework for Constrained Multiobjective Optimization Problems”. IEEE Transactions on Evolutionary Computation 25.1 (2021): 102-116.
    PUB | DOI | Download (ext.)
     
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    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978357
    Xu, Jinjin, Jin, Yaochu, Du, Wenli, and Gu, Sai. “A federated data-driven evolutionary algorithm”. Knowledge-Based Systems 233 (2021): 107532.
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    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978358
    Xu, Jinjin, Jin, Yaochu, and Du, Wenli. “A federated data-driven evolutionary algorithm for expensive multi-/many-objective optimization”. Complex & Intelligent Systems 7.6 (2021): 3093-3109.
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    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978356
    Song, Zhenshou, Wang, Handing, He, Cheng, and Jin, Yaochu. “A Kriging-Assisted Two-Archive Evolutionary Algorithm for Expensive Many-Objective Optimization”. IEEE Transactions on Evolutionary Computation 25.6 (2021): 1013-1027.
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    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978375
    Yu, Guo, Jin, Yaochu, and Olhofer, Markus. “A Multiobjective Evolutionary Algorithm for Finding Knee Regions Using Two Localized Dominance Relationships”. IEEE Transactions on Evolutionary Computation 25.1 (2021): 145-158.
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    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978376
    Kuutti, Sampo, Bowden, Richard, Jin, Yaochu, Barber, Phil, and Fallah, Saber. “A Survey of Deep Learning Applications to Autonomous Vehicle Control”. IEEE Transactions on Intelligent Transportation Systems 22.2 (2021): 712-733.
    PUB | DOI
     
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    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978377
    Wang, Shuai, Liu, Jing, and Jin, Yaochu. “Finding Influential Nodes in Multiplex Networks Using a Memetic Algorithm”. IEEE Transactions on Cybernetics 51.2 (2021): 900-912.
    PUB | DOI
     
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    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978378
    Wang, Handing, Feng, Liang, Jin, Yaochu, and Doherty, John. “Surrogate-Assisted Evolutionary Multitasking for Expensive Minimax Optimization in Multiple Scenarios”. IEEE Computational Intelligence Magazine 16.1 (2021): 34-48.
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    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978379
    Liu, Ruochen, Li, Jianxia, Jin, Yaochu, and Jiao, Licheng. “A Self-Adaptive Response Strategy for Dynamic Multiobjective Evolutionary Optimization Based on Objective Space Decomposition”. Evolutionary Computation 29.4 (2021): 491-519.
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    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978380
    Hua, Yicun, Liu, Qiqi, Hao, Kuangrong, and Jin, Yaochu. “A Survey of Evolutionary Algorithms for Multi-Objective Optimization Problems With Irregular Pareto Fronts”. IEEE/CAA Journal of Automatica Sinica 8.2 (2021): 303-318.
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    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978381
    Zhou, Xiaojun, Tian, Jituo, Long, Jianpeng, Jin, Yaochu, Yu, Guo, and Yang, Chunhua. “A fast constrained state transition algorithm”. Neurocomputing 455 (2021): 202-214.
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    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978383
    Zhang, Qian, Lu, Jie, and Jin, Yaochu. “Artificial intelligence in recommender systems”. Complex & Intelligent Systems 7.1 (2021): 439-457.
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    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978384
    Zhu, Hangyu, Wang, Rui, Jin, Yaochu, Liang, Kaitai, and Ning, Jianting. “Distributed additive encryption and quantization for privacy preserving federated deep learning”. Neurocomputing 463 (2021): 309-327.
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    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978386
    Zhu, Hangyu, Xu, Jinjin, Liu, Shiqing, and Jin, Yaochu. “Federated learning on non-IID data: A survey”. Neurocomputing 465 (2021): 371-390.
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    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978387
    Liu, Jia, and Jin, Yaochu. “Multi-objective search of robust neural architectures against multiple types of adversarial attacks”. Neurocomputing 453 (2021): 73-84.
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    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978388
    Wang, Hao, Sun, Chaoli, Zhang, Guochen, Fieldsend, Jonathan E., and Jin, Yaochu. “Non-dominated sorting on performance indicators for evolutionary many-objective optimization”. Information Sciences 551 (2021): 23-38.
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    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978389
    Huang, Pengfei, Wang, Handing, and Jin, Yaochu. “Offline data-driven evolutionary optimization based on tri-training”. Swarm and Evolutionary Computation 60 (2021): 100800.
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    2021 | Kurzbeitrag Konferenz / Poster | Veröffentlicht | PUB-ID: 2978390
    Xu, Jiacheng, Fang, Zhijun, Gao, Yongbin, Ma, Siwei, Jin, Yaochu, Zhou, Heng, and Wang, Anjie. “Point AE-DCGAN: A deep learning model for 3D point cloud lossy geometry compression”. 2021 Data Compression Conference (DCC). Ed. Ali Bilgin, Michael W. Marcellin, Joan Serra-Sagrista, and James A. Storer. IEEE, 2021. 379-379.
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    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978391
    Wang, Xinjie, Jin, Yaochu, and Hao, Kuangrong. “Synergies between synaptic and intrinsic plasticity in echo state networks”. Neurocomputing 432 (2021): 32-43.
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    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978392
    Chen, Huaming, Li, Fuyi, Wang, Lei, Jin, Yaochu, Chi, Chi-Hung, Kurgan, Lukasz, Song, Jiangning, and Shen, Jun. “Systematic evaluation of machine learning methods for identifying human–pathogen protein–protein interactions”. Briefings in Bioinformatics 22.3 (2021).
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    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978367
    Tian, Ye, Liu, Ruchen, Zhang, Xingyi, Ma, Haiping, Tan, Kay Chen, and Jin, Yaochu. “A Multipopulation Evolutionary Algorithm for Solving Large-Scale Multimodal Multiobjective Optimization Problems”. IEEE Transactions on Evolutionary Computation 25.3 (2021): 405-418.
    PUB | DOI | Download (ext.)
     
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    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978368
    He, Cheng, Huang, Shihua, Cheng, Ran, Tan, Kay Chen, and Jin, Yaochu. “Evolutionary Multiobjective Optimization Driven by Generative Adversarial Networks (GANs)”. IEEE Transactions on Cybernetics 51.6 (2021): 3129-3142.
    PUB | DOI | Download (ext.)
     
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    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978369
    He, Cheng, Cheng, Ran, Tian, Ye, Zhang, Xingyi, Tan, Kay Chen, and Jin, Yaochu. “Paired Offspring Generation for Constrained Large-Scale Multiobjective Optimization”. IEEE Transactions on Evolutionary Computation 25.3 (2021): 448-462.
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    2021 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2960436
    Yu, Guo, Jin, Yaochu, Olhofer, Markus, Liu, Qiqi, and Du, Wenli. “Solution Set Augmentation for Knee Identification in Multiobjective Decision Analysis”. IEEE Transactions on Cybernetics (2021).
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    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978401
    Jin, Yaochu. “Introduction to the Special Issue on Nature-Inspired Optimization Methods in Fuzzy Systems”. IEEE Transactions on Fuzzy Systems 28.6 (2020): 1019-1022.
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    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978393
    Huang, Li, Ding, Yongsheng, Zhou, MengChu, Jin, Yaochu, and Hao, Kuangrong. “Multiple-Solution Optimization Strategy for Multirobot Task Allocation”. IEEE Transactions on Systems, Man, and Cybernetics: Systems 50.11 (2020): 4283-4294.
    PUB | DOI | Download (ext.)
     
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    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978394
    Chen, Yang, Sun, Xiaoyan, and Jin, Yaochu. “Communication-Efficient Federated Deep Learning With Layerwise Asynchronous Model Update and Temporally Weighted Aggregation”. IEEE Transactions on Neural Networks and Learning Systems 31.10 (2020): 4229-4238.
    PUB | DOI | Download (ext.)
     
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    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978395
    Zhou, Yan, Jin, Yaochu, and Ding, Jinliang. “Surrogate-Assisted Evolutionary Search of Spiking Neural Architectures in Liquid State Machines”. Neurocomputing 406 (2020): 12-23.
    PUB | DOI | Download (ext.)
     
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    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978397
    Tian, Ye, Zheng, Xiutao, Zhang, Xingyi, and Jin, Yaochu. “Efficient Large-Scale Multiobjective Optimization Based on a Competitive Swarm Optimizer”. IEEE Transactions on Cybernetics 50.8 (2020): 3696-3708.
    PUB | DOI | Download (ext.)
     
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    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978396
    Yu, Guo, Jin, Yaochu, and Olhofer, Markus. “Benchmark Problems and Performance Indicators for Search of Knee Points in Multiobjective Optimization”. IEEE Transactions on Cybernetics 50.8 (2020): 3531-3544.
    PUB | DOI | Download (ext.)
     
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    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978398
    Wang, Shuai, Liu, Jing, and Jin, Yaochu. “Surrogate-Assisted Robust Optimization of Large-Scale Networks Based on Graph Embedding”. IEEE Transactions on Evolutionary Computation 24.4 (2020): 735-749.
    PUB | DOI | Download (ext.)
     
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    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978399
    Wang, Handing, Jin, Yaochu, Yang, Cuie, and Jiao, Licheng. “Transfer stacking from low-to high-fidelity: A surrogate-assisted bi-fidelity evolutionary algorithm”. Applied Soft Computing 92 (2020): 106276.
    PUB | DOI | Download (ext.)
     
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    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978402
    Wang, Xilu, Jin, Yaochu, Schmitt, Sebastian, and Olhofer, Markus. “An adaptive Bayesian approach to surrogate-assisted evolutionary multi-objective optimization”. Information Sciences 519 (2020): 317-331.
    PUB | DOI | Download (ext.)
     
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    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978404
    Wang, Xinjie, Jin, Yaochu, and Hao, Kuangrong. “Evolving Local Plasticity Rules for Synergistic Learning in Echo State Networks”. IEEE Transactions on Neural Networks and Learning Systems 31.4 (2020): 1363-1374.
    PUB | DOI | Download (ext.)
     
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    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978405
    Zhu, Hangyu, and Jin, Yaochu. “Multi-Objective Evolutionary Federated Learning”. IEEE Transactions on Neural Networks and Learning Systems 31.4 (2020): 1310-1322.
    PUB | DOI | Download (ext.)
     
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    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978406
    Sun, Yanan, Wang, Handing, Xue, Bing, Jin, Yaochu, Yen, Gary G., and Zhang, Mengjie. “Surrogate-Assisted Evolutionary Deep Learning Using an End-to-End Random Forest-Based Performance Predictor”. IEEE Transactions on Evolutionary Computation 24.2 (2020): 350-364.
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    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978407
    Tian, Ye, Zhang, Xingyi, Cheng, Ran, He, Cheng, and Jin, Yaochu. “Guiding Evolutionary Multiobjective Optimization With Generic Front Modeling”. IEEE Transactions on Cybernetics 50.3 (2020): 1106-1119.
    PUB | DOI | Download (ext.)
     
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    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978408
    Zhang, Xingyi, Zhou, Kefei, Pan, Hebin, Zhang, Lei, Zeng, Xiangxiang, and Jin, Yaochu. “A Network Reduction-Based Multiobjective Evolutionary Algorithm for Community Detection in Large-Scale Complex Networks”. IEEE Transactions on Cybernetics 50.2 (2020): 703-716.
    PUB | DOI | Download (ext.)
     
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    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978410
    Wang, Sutong, Wang, Yuyan, Wang, Dujuan, Yin, Yunqiang, Wang, Yanzhang, and Jin, Yaochu. “An improved random forest-based rule extraction method for breast cancer diagnosis”. Applied Soft Computing 86 (2020): 105941.
    PUB | DOI
     
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    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978411
    Yang, Zhen, Ding, Yongsheng, Jin, Yaochu, and Hao, Kuangrong. “Immune-Endocrine System Inspired Hierarchical Coevolutionary Multiobjective Optimization Algorithm for IoT Service”. IEEE Transactions on Cybernetics 50.1 (2020): 164-177.
    PUB | DOI | Download (ext.)
     
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    2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978412
    Wang, Xinjie, Jin, Yaochu, and Hao, Kuangrong. “A Gated Recurrent Unit based Echo State Network”. 2020 International Joint Conference on Neural Networks (IJCNN). IEEE, 2020. 1-7.
    PUB | DOI | Download (ext.)
     
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    2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978413
    Fourati, Rahma, Ammar, Boudour, Jin, Yaochu, and Alimi, Adel M. “EEG feature learning with Intrinsic Plasticity based Deep Echo State Network”. 2020 International Joint Conference on Neural Networks (IJCNN). IEEE, 2020. 1-8.
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    2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978414
    Naik, Nitin, Jenkins, Paul, Cooke, Roger, Gillett, Jonathan, and Jin, Yaochu. “Evaluating Automatically Generated YARA Rules and Enhancing Their Effectiveness”. 2020 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE, 2020. 1146-1153.
    PUB | DOI | Download (ext.)
     
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    2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978415
    Chen, Huaming, Jin, Yaochu, Wang, Lei, Chi, Chi-Hung, and Shen, Jun. “HIME: Mining and Ensembling Heterogeneous Information for Protein-Protein Interactions Prediction”. 2020 International Joint Conference on Neural Networks (IJCNN). IEEE, 2020. 1-8.
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    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978416
    Liao, Peng, Sun, Chaoli, Zhang, Guochen, and Jin, Yaochu. “Multi-surrogate multi-tasking optimization of expensive problems”. Knowledge-Based Systems 205 (2020): 106262.
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    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978417
    Wang, Shuai, Liu, Jing, and Jin, Yaochu. “Robust Structural Balance in Signed Networks Using a Multiobjective Evolutionary Algorithm”. IEEE Computational Intelligence Magazine 15.2 (2020): 24-35.
    PUB | DOI | Download (ext.)
     
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    2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978418
    Wang, Xilu, Jin, Yaochu, Schmitt, Sebastian, Olhofer, Markus, and Coello Coello, Carlos Artemio. “Transfer learning for gaussian process assisted evolutionary bi-objective optimization for objectives with different evaluation times”. Proceedings of the 2020 Genetic and Evolutionary Computation Conference (GECCO '20). New York, NY: ACM, 2020. 587-594.
    PUB | DOI | Download (ext.)
     
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    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978409
    Wang, Handing, and Jin, Yaochu. “A Random Forest-Assisted Evolutionary Algorithm for Data-Driven Constrained Multiobjective Combinatorial Optimization of Trauma Systems”. IEEE Transactions on Cybernetics 50.2 (2020): 536-549.
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    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978403
    Tian, Ye, Zhang, Xingyi, Wang, Chao, and Jin, Yaochu. “An Evolutionary Algorithm for Large-Scale Sparse Multiobjective Optimization Problems”. IEEE Transactions on Evolutionary Computation 24.2 (2020): 380-393.
    PUB | DOI | Download (ext.)
     
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    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978420
    Rong, Miao, Gong, Dunwei, Zhang, Yong, Jin, Yaochu, and Pedrycz, Witold. “Multidirectional Prediction Approach for Dynamic Multiobjective Optimization Problems”. IEEE Transactions on Cybernetics 49.9 (2019): 3362-3374.
    PUB | DOI | Download (ext.)
     
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    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978419
    He, Cheng, Li, Lianghao, Tian, Ye, Zhang, Xingyi, Cheng, Ran, Jin, Yaochu, and Yao, Xin. “Accelerating Large-Scale Multiobjective Optimization via Problem Reformulation”. IEEE Transactions on Evolutionary Computation 23.6 (2019): 949-961.
    PUB | DOI | Download (ext.)
     
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    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978421
    Peng, Xingguang, Jin, Yaochu, and Wang, Handing. “Multimodal Optimization Enhanced Cooperative Coevolution for Large-Scale Optimization”. IEEE Transactions on Cybernetics 49.9 (2019): 3507-3520.
    PUB | DOI | Download (ext.)
     
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    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978422
    Hua, Yicun, Jin, Yaochu, and Hao, Kuangrong. “A Clustering-Based Adaptive Evolutionary Algorithm for Multiobjective Optimization With Irregular Pareto Fronts”. IEEE Transactions on Cybernetics 49.7 (2019): 2758-2770.
    PUB | DOI | Download (ext.)
     
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    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978423
    Han, Dong, Du, Wenli, Du, Wei, Jin, Yaochu, and Wu, Chunping. “An adaptive decomposition-based evolutionary algorithm for many-objective optimization”. Information Sciences 491 (2019): 204-222.
    PUB | DOI | Download (ext.)
     
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    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978424
    Wang, Xinjie, Jin, Yaochu, and Hao, Kuangrong. “Echo state networks regulated by local intrinsic plasticity rules for regression”. Neurocomputing 351 (2019): 111-122.
    PUB | DOI | Download (ext.)
     
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    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978425
    Yang, Cuie, Ding, Jinliang, Jin, Yaochu, Wang, Chengzhi, and Chai, Tianyou. “Multitasking Multiobjective Evolutionary Operational Indices Optimization of Beneficiation Processes”. IEEE Transactions on Automation Science and Engineering 16.3 (2019): 1046-1057.
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    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978427
    Wang, Yuyan, Wang, Dujuan, Geng, Na, Wang, Yanzhang, Yin, Yunqiang, and Jin, Yaochu. “Stacking-based ensemble learning of decision trees for interpretable prostate cancer detection”. Applied Soft Computing 77 (2019): 188-204.
    PUB | DOI | Download (ext.)
     
  • [227]
    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978426
    Sun, Chaoli, Wang, Handing, Du, Wenli, and Jin, Yaochu. “Guest Editorial: Special Issue on Computational Intelligence in Data-Driven Optimization”. IEEE Transactions on Emerging Topics in Computational Intelligence 3.2 (2019): 90-92.
    PUB | DOI
     
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    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978428
    Guo, Dan, Jin, Yaochu, Ding, Jinliang, and Chai, Tianyou. “Heterogeneous Ensemble-Based Infill Criterion for Evolutionary Multiobjective Optimization of Expensive Problems”. IEEE Transactions on Cybernetics 49.3 (2019): 1012-1025.
    PUB | DOI | Download (ext.)
     
  • [225]
    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978429
    Fan, Qinqin, Jin, Yaochu, Wang, Weili, and Yan, Xuefeng. “A performance-driven multi-algorithm selection strategy for energy consumption optimization of sea-rail intermodal transportation”. Swarm and Evolutionary Computation 44 (2019): 1-17.
    PUB | DOI | Download (ext.)
     
  • [224]
    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978430
    Wang, Yuyan, Wang, Dujuan, Ye, Xin, Wang, Yanzhang, Yin, Yunqiang, and Jin, Yaochu. “A tree ensemble-based two-stage model for advanced-stage colorectal cancer survival prediction”. Information Sciences 474 (2019): 106-124.
    PUB | DOI | Download (ext.)
     
  • [223]
    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978431
    Carneiro, Murillo G., Cheng, Ran, Zhao, Liang, and Jin, Yaochu. “Particle swarm optimization for network-based data classification”. Neural Networks 110 (2019): 243-255.
    PUB | DOI | Download (ext.)
     
  • [222]
    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978433
    Han, Yuyan, Gong, Dunwei, Jin, Yaochu, and Pan, Quanke. “Evolutionary Multiobjective Blocking Lot-Streaming Flow Shop Scheduling With Machine Breakdowns”. IEEE Transactions on Cybernetics 49.1 (2019): 184-197.
    PUB | DOI | Download (ext.)
     
  • [221]
    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978434
    Du, Wei, Zhong, Weimin, Tang, Yang, Du, Wenli, and Jin, Yaochu. “High-Dimensional Robust Multi-Objective Optimization for Order Scheduling: A Decision Variable Classification Approach”. IEEE Transactions on Industrial Informatics 15.1 (2019): 293-304.
    PUB | DOI | Download (ext.)
     
  • [220]
    2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978436
    Zhou, Yan, Jin, Yaochu, and Ding, Jinliang. “Evolutionary Optimization of Liquid State Machines for Robust Learning”. Advances in Neural Networks – ISNN 2019. 16th International Symposium on Neural Networks, ISNN 2019, Moscow, Russia, July 10–12, 2019, Proceedings, Part I. Ed. Huchuan Lu, Huajin Tang, and Zhanshan Wang. Cham: Springer International Publishing, 2019.Vol. 11554. Lecture Notes in Computer Science. 389-398.
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  • [219]
    2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978437
    Andrés-Pérez, Esther, González-Juarez, Daniel, Martin, Mario, Iuliano, Emilano, Cinquegrana, Davide, Carrier, Gerald, Peter, Jacques, Bailly, Didier, Amoignon, Olivier, Dvorak, Petr, Funes, David, Weinerfelt, Per, Carro, Leopoldo, Salcedo, Sancho, Jin, Yaochu, Doherty, John, and Wang, Handing. “Garteur AD/AG-52: Surrogate-Based Global Optimization Methods in Preliminary Aerodynamic Design”. Evolutionary and Deterministic Methods for Design Optimization and Control With Applications to Industrial and Societal Problems. Ed. Esther Andrés-Pérez, Leo M. González, Jacques Periaux, Nicolas Gauger, Domenico Quagliarella, and Kyriakos Giannakoglou. Cham: Springer International Publishing, 2019.Vol. 49. Computational Methods in Applied Sciences. 195-210.
    PUB | DOI | Download (ext.)
     
  • [218]
    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978448
    Yang, Zhen, Jin, Yaochu, and Hao, Kuangrong. “A Bio-Inspired Self-Learning Coevolutionary Dynamic Multiobjective Optimization Algorithm for Internet of Things Services”. IEEE Transactions on Evolutionary Computation 23.4 (2019): 675-688.
    PUB | DOI | Download (ext.)
     
  • [217]
    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978451
    Tian, Ye, Cheng, Ran, Zhang, Xingyi, Su, Yansen, and Jin, Yaochu. “A Strengthened Dominance Relation Considering Convergence and Diversity for Evolutionary Many-Objective Optimization”. IEEE Transactions on Evolutionary Computation 23.2 (2019): 331-345.
    PUB | DOI | Download (ext.)
     
  • [216]
    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978455
    Jin, Yaochu, Wang, Handing, Chugh, Tinkle, Guo, Dan, and Miettinen, Kaisa. “Data-Driven Evolutionary Optimization: An Overview and Case Studies”. IEEE Transactions on Evolutionary Computation 23.3 (2019): 442-458.
    PUB | DOI | Download (ext.)
     
  • [215]
    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978463
    Wang, Handing, Jin, Yaochu, Sun, Chaoli, and Doherty, John. “Offline Data-Driven Evolutionary Optimization Using Selective Surrogate Ensembles”. IEEE Transactions on Evolutionary Computation 23.2 (2019): 203-216.
    PUB | DOI | Download (ext.)
     
  • [214]
    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978479
    Ye, Xin, Li, Jia, Liu, Sihao, Liang, Jiwei, and Jin, Yaochu. “A hybrid instance-intensive workflow scheduling method in private cloud environment”. Natural Computing 18.4 (2019): 735-746.
    PUB | DOI | Download (ext.)
     
  • [213]
    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978482
    Wang, Du-Juan, Liu, Feng, and Jin, Yaochu. “A proactive scheduling approach to steel rolling process with stochastic machine breakdown”. Natural Computing 18.4 (2019): 679-694.
    PUB | DOI | Download (ext.)
     
  • [212]
    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978495
    Ding, Jinliang, Yang, Cuie, Jin, Yaochu, and Chai, Tianyou. “Generalized Multitasking for Evolutionary Optimization of Expensive Problems”. IEEE Transactions on Evolutionary Computation 23.1 (2019): 44-58.
    PUB | DOI | Download (ext.)
     
  • [211]
    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978503
    Guo, Fan, Ren, Lihong, Jin, Yaochu, and Ding, Yongsheng. “A dynamic SVR–ARMA model with improved fruit fly algorithm for the nonlinear fiber stretching process”. Natural Computing 18.4 (2019): 747-756.
    PUB | DOI | Download (ext.)
     
  • [210]
    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978449
    Pan, Linqiang, He, Cheng, Tian, Ye, Wang, Handing, Zhang, Xingyi, and Jin, Yaochu. “A Classification-Based Surrogate-Assisted Evolutionary Algorithm for Expensive Many-Objective Optimization”. IEEE Transactions on Evolutionary Computation 23.1 (2019): 74-88.
    PUB | DOI
     
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    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978461
    Tian, Jie, Tan, Ying, Zeng, Jianchao, Sun, Chaoli, and Jin, Yaochu. “Multiobjective Infill Criterion Driven Gaussian Process-Assisted Particle Swarm Optimization of High-Dimensional Expensive Problems”. IEEE Transactions on Evolutionary Computation 23.3 (2019): 459-472.
    PUB | DOI | Download (ext.)
     
  • [208]
    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978432
    Jiao, Ruwang, Zeng, Sanyou, Li, Changhe, Jiang, Yuhong, and Jin, Yaochu. “A complete expected improvement criterion for Gaussian process assisted highly constrained expensive optimization”. Information Sciences 471 (2019): 80-96.
    PUB | DOI | Download (ext.)
     
  • [207]
    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978435
    Ding, Jinliang, Yang, Cuie, Xiao, Qiong, Chai, Tianyou, and Jin, Yaochu. “Dynamic Evolutionary Multiobjective Optimization for Raw Ore Allocation in Mineral Processing”. IEEE Transactions on Emerging Topics in Computational Intelligence (2018): 1-13.
    PUB | DOI | Download (ext.)
     
  • [206]
    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978438
    Wang, Handing, Jin, Yaochu, and Doherty, John. “A Generic Test Suite for Evolutionary Multifidelity Optimization”. IEEE Transactions on Evolutionary Computation 22.6 (2018): 836-850.
    PUB | DOI | Download (ext.)
     
  • [205]
    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978439
    Cui, Shaoze, Wang, Dujuan, Wang, Yanzhang, Yu, Pay-Wen, and Jin, Yaochu. “An improved support vector machine-based diabetic readmission prediction”. Computer Methods and Programs in Biomedicine 166 (2018): 123-135.
    PUB | DOI | Download (ext.)
     
  • [204]
    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978440
    Xie, Zhenping, and Jin, Yaochu. “An Extended Reinforcement Learning Framework to Model Cognitive Development With Enactive Pattern Representation”. IEEE Transactions on Cognitive and Developmental Systems 10.3 (2018): 738-750.
    PUB | DOI | Download (ext.)
     
  • [203]
    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978441
    Tian, Ye, Cheng, Ran, Zhang, Xingyi, Cheng, Fan, and Jin, Yaochu. “An Indicator-Based Multiobjective Evolutionary Algorithm With Reference Point Adaptation for Better Versatility”. IEEE Transactions on Evolutionary Computation 22.4 (2018): 609-622.
    PUB | DOI | Download (ext.)
     
  • [202]
    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978442
    Yu, Haibo, Tan, Ying, Zeng, Jianchao, Sun, Chaoli, and Jin, Yaochu. “Surrogate-assisted hierarchical particle swarm optimization”. Information Sciences 454-455 (2018): 59-72.
    PUB | DOI | Download (ext.)
     
  • [201]
    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978444
    Gu, Shenkai, Cheng, Ran, and Jin, Yaochu. “Feature selection for high-dimensional classification using a competitive swarm optimizer”. Soft Computing 22.3 (2018): 811-822.
    PUB | DOI | Download (ext.)
     
  • [200]
    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978447
    Jin, Yaochu, Miettinen, Kaisa, and Ishibuchi, Hisao. “Guest Editorial Evolutionary Many-Objective Optimization”. IEEE Transactions on Evolutionary Computation 22.1 (2018): 1-2.
    PUB | DOI | Download (ext.)
     
  • [199]
    2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978450
    Yu, Guo, Jin, Yaochu, and Olhofer, Markus. “A Method for a Posteriori Identification of Knee Points Based on Solution Density”. 2018 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2018. 1-8.
    PUB | DOI
     
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    2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978467
    Sun, Chaoli, Jin, Yaochu, Tan, Ying, and Takadama, Keiki. “Semi-supervised learning assisted particle swarm optimization of computationally expensive problems”. Proceedings of the Genetic and Evolutionary Computation Conference. Ed. Hernan Aguirre. New York, NY: ACM, 2018. 45-52.
    PUB | DOI
     
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    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978457
    Chen, Zhaomin, Yeo, Chai Kiat, Lee, Bu Sung, Lau, Chiew Tong, and Jin, Yaochu. “Evolutionary multi-objective optimization based ensemble autoencoders for image outlier detection”. Neurocomputing 309 (2018): 192-200.
    PUB | DOI | Download (ext.)
     
  • [196]
    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978452
    Zhang, Xingyi, Zheng, Xiutao, Cheng, Ran, Qiu, Jianfeng, and Jin, Yaochu. “A competitive mechanism based multi-objective particle swarm optimizer with fast convergence”. Information Sciences 427 (2018): 63-76.
    PUB | DOI
     
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    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978453
    Sun, Chaoli, Ding, Jinliang, Zeng, Jianchao, and Jin, Yaochu. “A fitness approximation assisted competitive swarm optimizer for large scale expensive optimization problems”. Memetic Computing 10.2 (2018): 123-134.
    PUB | DOI | Download (ext.)
     
  • [194]
    2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978458
    Wang, Handing, Doherty, John, and Jin, Yaochu. “Hierarchical Surrogate-Assisted Evolutionary Multi-Scenario Airfoil Shape Optimization”. 2018 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2018. 1-8.
    PUB | DOI | Download (ext.)
     
  • [193]
    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978459
    Yang, Cuie, Ding, Jinliang, Jin, Yaochu, and Chai, Tianyou. “Incremental data-driven optimization of complex systems in nonstationary environments”. Science China Information Sciences 61.12 (2018): 129205.
    PUB | DOI
     
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    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978460
    Oh, Hyondong, Shiraz, Ataollah R., and Jin, Yaochu. “Morphogen diffusion algorithms for tracking and herding using a swarm of kilobots”. Soft Computing 22.6 (2018): 1833-1844.
    PUB | DOI | Download (ext.)
     
  • [191]
    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978464
    Qian, Chao, Yu, Yang, Tang, Ke, Jin, Yaochu, Yao, Xin, and Zhou, Zhi-Hua. “On the Effectiveness of Sampling for Evolutionary Optimization in Noisy Environments”. Evolutionary Computation 26.2 (2018): 237-267.
    PUB | DOI | Download (ext.)
     
  • [190]
    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978465
    Lu, Jun, Ding, Jinliang, Liu, Changxin, and Jin, Yaochu. “Prediction of Physical Properties of Crude Oil Based on Ensemble Random Weights Neural Network”. IFAC-PapersOnLine 51.18 (2018): 655-660.
    PUB | DOI | Download (ext.)
     
  • [189]
    2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978466
    Tian, Ye, Xiang, Xiaoshu, Zhang, Xingyi, Cheng, Ran, and Jin, Yaochu. “Sampling Reference Points on the Pareto Fronts of Benchmark Multi-Objective Optimization Problems”. 2018 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2018. 1-6.
    PUB | DOI
     
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    2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978469
    Doherty, John J., Wang, Handing, and Jin, Yaochu. “Use of Global Drag Rise Boundaries to Investigate Ill-Posed Transonic Airfoil Optimization”. 2018 Applied Aerodynamics Conference. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2018.
    PUB | DOI
     
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    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978443
    Li, Fei, Cheng, Ran, Liu, Jianchang, and Jin, Yaochu. “A two-stage R2 indicator based evolutionary algorithm for many-objective optimization”. Applied Soft Computing 67 (2018): 245-260.
    PUB | DOI
     
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    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978446
    Chugh, Tinkle, Jin, Yaochu, Miettinen, Kaisa, Hakanen, Jussi, and Sindhya, Karthik. “A Surrogate-Assisted Reference Vector Guided Evolutionary Algorithm for Computationally Expensive Many-Objective Optimization”. IEEE Transactions on Evolutionary Computation 22.1 (2018): 129-142.
    PUB | DOI
     
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    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978445
    Zhang, Xingyi, Tian, Ye, Cheng, Ran, and Jin, Yaochu. “A Decision Variable Clustering-Based Evolutionary Algorithm for Large-Scale Many-Objective Optimization”. IEEE Transactions on Evolutionary Computation 22.1 (2018): 97-112.
    PUB | DOI | Download (ext.)
     
  • [184]
    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978489
    Jin, Yaochu, and Kollias, Stefanos. “Conference Report on 2016 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2016) [Conference Reports]”. IEEE Computational Intelligence Magazine 12.2 (2017): 18-19.
    PUB | DOI | Download (ext.)
     
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    2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978454
    Tian, Jie, Sun, Chaoli, Zeng, Jianchao, Yu, Haibo, Tan, Ying, and Jin, Yaochu. “Comparisons of different kernels in Kriging-assisted evolutionary expensive optimization”. 2017 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE, 2017. 1-8.
    PUB | DOI | Download (ext.)
     
  • [182]
    2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978456
    Thomas, Spencer A., Jin, Yaochu, Bunch, Josephine, and Gilmore, Ian S. “Enhancing classification of mass spectrometry imaging data with deep neural networks”. 2017 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE, 2017. 1-8.
    PUB | DOI | Download (ext.)
     
  • [181]
    2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978462
    Carneiro, Murillo G., Cupertino, Thiago H., Cheng, Ran, Jin, Yaochu, and Zhao, Liang. “Nature-Inspired Graph Optimization for Dimensionality Reduction”. 2017 IEEE 29th International Conference on Tools with Artificial Intelligence (ICTAI). IEEE, 2017. 1113-1119.
    PUB | DOI | Download (ext.)
     
  • [180]
    2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978468
    Yang, Cuie, Ding, Jinliang, Tan, Kay Chen, and Jin, Yaochu. “Two-stage assortative mating for multi-objective multifactorial evolutionary optimization”. 2017 IEEE 56th Annual Conference on Decision and Control (CDC). IEEE, 2017. 76-81.
    PUB | DOI | Download (ext.)
     
  • [179]
    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978470
    Chrol-Cannon, Joseph, Jin, Yaochu, and Grüning, André. “An efficient method for online detection of polychronous patterns in spiking neural networks”. Neurocomputing 267 (2017): 644-650.
    PUB | DOI | Download (ext.)
     
  • [178]
    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978471
    Cheng, Ran, Jin, Yaochu, Olhofer, Markus, and sendhoff, Bernhard. “Test Problems for Large-Scale Multiobjective and Many-Objective Optimization”. IEEE Transactions on Cybernetics 47.12 (2017): 4108-4121.
    PUB | DOI | Download (ext.)
     
  • [177]
    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978472
    Liu, Yiping, Gong, Dunwei, Sun, Jing, and Jin, Yaochu. “A Many-Objective Evolutionary Algorithm Using A One-by-One Selection Strategy”. IEEE Transactions on Cybernetics 47.9 (2017): 2689-2702.
    PUB | DOI | Download (ext.)
     
  • [176]
    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978474
    Gu, Shenkai, and Jin, Yaochu. “Multi-train: A semi-supervised heterogeneous ensemble classifier”. Neurocomputing 249 (2017): 202-211.
    PUB | DOI | Download (ext.)
     
  • [175]
    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978498
    Jin, Yaochu, and Ding, Jinliang. “Special issue on “Data-driven evolutionary optimization””. Soft Computing 21.20 (2017): 5867-5868.
    PUB | DOI | Download (ext.)
     
  • [174]
    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978499
    Allmendinger, Richard, Emmerich, Michael T. M., Hakanen, Jussi, Jin, Yaochu, and Rigoni, Enrico. “Surrogate-assisted multicriteria optimization: Complexities, prospective solutions, and business case”. Journal of Multi-Criteria Decision Analysis 24.1-2 (2017): 5-24.
    PUB | DOI | Download (ext.)
     
  • [173]
    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978500
    Jin, Yaochu, Ding, Jinliang, and Ding, Yongsheng. “Thematic issue on “bio-inspired learning for data analysis””. Memetic Computing 9.1 (2017): 1-2.
    PUB | DOI | Download (ext.)
     
  • [172]
    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978476
    Wang, Handing, Jin, Yaochu, and Yao, Xin. “Diversity Assessment in Many-Objective Optimization”. IEEE Transactions on Cybernetics 47.6 (2017): 1510-1522.
    PUB | DOI | Download (ext.)
     
  • [171]
    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978477
    Shirazi, Ataollah Ramezan, and Jin, Yaochu. “A Strategy for Self-Organized Coordinated Motion of a Swarm of Minimalist Robots”. IEEE Transactions on Emerging Topics in Computational Intelligence 1.5 (2017): 326-338.
    PUB | DOI | Download (ext.)
     
  • [170]
    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978480
    Huang, Yuanjun, Ding, Yongsheng, Hao, Kuangrong, and Jin, Yaochu. “A multi-objective approach to robust optimization over time considering switching cost”. Information Sciences 394-395 (2017): 183-197.
    PUB | DOI | Download (ext.)
     
  • [169]
    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978481
    Wang, Du-Juan, Liu, Feng, and Jin, Yaochu. “A multi-objective evolutionary algorithm guided by directed search for dynamic scheduling”. Computers & Operations Research 79 (2017): 279-290.
    PUB | DOI | Download (ext.)
     
  • [168]
    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978483
    He, Cheng, Tian, Ye, Jin, Yaochu, Zhang, Xingyi, and Pan, Linqiang. “A radial space division based evolutionary algorithm for many-objective optimization”. Applied Soft Computing 61 (2017): 603-621.
    PUB | DOI | Download (ext.)
     
  • [167]
    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978484 OA
    Liu, Jing, Chi, Yaxiong, Zhu, Chen, and Jin, Yaochu. “A time series driven decomposed evolutionary optimization approach for reconstructing large-scale gene regulatory networks based on fuzzy cognitive maps”. BMC Bioinformatics 18.1 (2017): 241.
    PUB | PDF | DOI | Download (ext.)
     
  • [166]
    2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978486
    Naik, Nitin, Jenkins, Paul, Cooke, Roger, Ball, David, Foster, Arthur, and Jin, Yaochu. “Augmented windows fuzzy firewall for preventing denial of service attack”. 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2017. 1-6.
    PUB | DOI | Download (ext.)
     
  • [165]
    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978487
    Oh, Hyondong, Ramezan Shirazi, Ataollah, Sun, Chaoli, and Jin, Yaochu. “Bio-inspired self-organising multi-robot pattern formation: A review”. Robotics and Autonomous Systems 91 (2017): 83-100.
    PUB | DOI | Download (ext.)
     
  • [164]
    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978488
    Albukhanajer, Wissam A., Jin, Yaochu, and Briffa, Johann A. “Classifier ensembles for image identification using multi-objective Pareto features”. Neurocomputing 238 (2017): 316-327.
    PUB | DOI | Download (ext.)
     
  • [163]
    2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978491
    Wang, Handing, and Jin, Yaochu. “Efficient nonlinear correlation detection for decomposed search in evolutionary multi-objective optimization”. 2017 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2017. 649-656.
    PUB | DOI | Download (ext.)
     
  • [162]
    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978493
    Yao, Guangshun, Ding, Yongsheng, Jin, Yaochu, and Hao, Kuangrong. “Endocrine-based coevolutionary multi-swarm for multi-objective workflow scheduling in a cloud system”. Soft Computing 21.15 (2017): 4309-4322.
    PUB | DOI | Download (ext.)
     
  • [161]
    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978494
    Cheng, Ran, Rodemann, Tobias, Fischer, Michael, Olhofer, Markus, and Jin, Yaochu. “Evolutionary Many-Objective Optimization of Hybrid Electric Vehicle Control: From General Optimization to Preference Articulation”. IEEE Transactions on Emerging Topics in Computational Intelligence 1.2 (2017): 97-111.
    PUB | DOI | Download (ext.)
     
  • [160]
    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978496
    Zhang, Xingyi, Duan, Fuchen, Zhang, Lei, Cheng, Fan, Jin, Yaochu, and Tang, Ke. “Pattern Recommendation in Task-oriented Applications: A Multi-Objective Perspective [Application Notes]”. IEEE Computational Intelligence Magazine 12.3 (2017): 43-53.
    PUB | DOI | Download (ext.)
     
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    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978497
    Tian, Ye, Cheng, Ran, Zhang, Xingyi, and Jin, Yaochu. “PlatEMO: A MATLAB Platform for Evolutionary Multi-Objective Optimization [Educational Forum]”. IEEE Computational Intelligence Magazine 12.4 (2017): 73-87.
    PUB | DOI | Download (ext.)
     
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    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978501
    Ye, Xin, Liu, Sihao, Yin, Yanli, and Jin, Yaochu. “User-oriented many-objective cloud workflow scheduling based on an improved knee point driven evolutionary algorithm”. Knowledge-Based Systems 135 (2017): 113-124.
    PUB | DOI | Download (ext.)
     
  • [157]
    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978478
    Chugh, Tinkle, Chakraborti, Nirupam, Sindhya, Karthik, and Jin, Yaochu. “A data-driven surrogate-assisted evolutionary algorithm applied to a many-objective blast furnace optimization problem”. Materials and Manufacturing Processes 32.10 (2017): 1172-1178.
    PUB | DOI
     
  • [156]
    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978475
    Sun, Chaoli, Jin, Yaochu, Cheng, Ran, Ding, Jinliang, and Zeng, Jianchao. “Surrogate-Assisted Cooperative Swarm Optimization of High-Dimensional Expensive Problems”. IEEE Transactions on Evolutionary Computation 21.4 (2017): 644-660.
    PUB | DOI | Download (ext.)
     
  • [155]
    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978473
    Wang, Handing, Jin, Yaochu, and Doherty, John. “Committee-Based Active Learning for Surrogate-Assisted Particle Swarm Optimization of Expensive Problems”. IEEE Transactions on Cybernetics 47.9 (2017): 2664-2677.
    PUB | DOI | Download (ext.)
     
  • [154]
    2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978485
    Yolcu, Ufuk, Jin, Yaochu, and Egrioglu, Erol. “An ensemble of single multiplicative neuron models for probabilistic prediction”. 2016 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE, 2016. 1-8.
    PUB | DOI | Download (ext.)
     
  • [153]
    2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978490
    Hakanen, Jussi, Chugh, Tinkle, Sindhya, Karthik, Jin, Yaochu, and Miettinen, Kaisa. “Connections of reference vectors and different types of preference information in interactive multiobjective evolutionary algorithms”. 2016 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE, 2016. 1-8.
    PUB | DOI | Download (ext.)
     
  • [152]
    2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978492
    Zhang, Xingyi, Tian, Ye, Cheng, Ran, and Jin, Yaochu. “Empirical analysis of a tree-based efficient non-dominated sorting approach for many-objective optimization”. 2016 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE, 2016. 1-8.
    PUB | DOI | Download (ext.)
     
  • [151]
    2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978502
    Cheng, Ran, Jin, Yaochu, Olhofer, Markus, and Sendhoff, Bernhard. “A Reference Vector Guided Evolutionary Algorithm for Many-Objective Optimization”. IEEE Transactions on Evolutionary Computation 20.5 (2016): 773-791.
    PUB | DOI | Download (ext.)
     
  • [150]
    2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978504
    Peng, Xingguang, Liu, Kun, and Jin, Yaochu. “A dynamic optimization approach to the design of cooperative co-evolutionary algorithms”. Knowledge-Based Systems 109 (2016): 174-186.
    PUB | DOI | Download (ext.)
     
  • [149]
    2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978505
    Tian, Ye, Zhang, Xingyi, Cheng, Ran, and Jin, Yaochu. “A multi-objective evolutionary algorithm based on an enhanced inverted generational distance metric”. 2016 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2016. 5222-5229.
    PUB | DOI | Download (ext.)
     
  • [148]
    2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978506
    Zhang, Xingyi, Tian, Ye, and Jin, Yaochu. “Approximate non-dominated sorting for evolutionary many-objective optimization”. Information Sciences 369 (2016): 14-33.
    PUB | DOI | Download (ext.)
     
  • [147]
    2016 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978508
    Cheng, Shi, Liu, Bin, Shi, Yuhui, Jin, Yaochu, and Li, Bin. “Evolutionary Computation and Big Data: Key Challenges and Future Directions”. Data Mining and Big Data. Ed. Ying Tan and Yuhui Shi. Cham: Springer International Publishing, 2016. Lecture Notes in Computer Science. 3-14.
    PUB | DOI | Download (ext.)
     
  • [146]
    2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978512
    Ding, Yongsheng, Zhang, Tao, Ren, Lihong, Jin, Yaochu, Hao, Kuangrong, and Chen, Lei. “Immune-inspired self-adaptive collaborative control allocation for multi-level stretching processes”. Information Sciences 342 (2016): 81-95.
    PUB | DOI | Download (ext.)
     
  • [145]
    2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978513
    He, Hongmei, Tiwari, Ashutosh, Mehnen, Jorn, Watson, Tim, Maple, Carsten, Jin, Yaochu, and Gabrys, Bogdan. “Incremental information gain analysis of input attribute impact on RBF-kernel SVM spam detection”. 2016 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2016. 1022-1029.
    PUB | DOI | Download (ext.)
     
  • [144]
    2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978514
    Yusoff, Mohd-Hanif, Chrol-Cannon, Joseph, and Jin, Yaochu. “Modeling neural plasticity in echo state networks for classification and regression”. Information Sciences 364-365 (2016): 184-196.
    PUB | DOI | Download (ext.)
     
  • [143]
    2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978517 OA
    Cerri, Ricardo, Barros, Rodrigo C., P. L. F. de Carvalho, André C., and Jin, Yaochu. “Reduction strategies for hierarchical multi-label classification in protein function prediction”. BMC Bioinformatics 17.1 (2016): 373.
    PUB | PDF | DOI | Download (ext.)
     
  • [142]
    2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978518
    Jin, Yaochu, Yang, Cuie, Ding, Jinliang, and Chai, Tianyou. “Reference point based prediction for evolutionary dynamic multiobjective optimization”. 2016 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2016. 3769-3776.
    PUB | DOI | Download (ext.)
     
  • [141]
    2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978519
    Rahat, Alma, Everson, Richard, Fieldsend, Jonathan, Jin, Yaochu, Wang, Handing, Neumann, Frank, and Sutton, Andrew M. “Surrogate-Assisted Evolutionary Optimisation (SAEOpt'16) Chairs' Welcome & Organization”. Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion. Ed. Tobias Friedrich. New York, NY, USA: ACM, 2016. 1265-1266.
    PUB | DOI | Download (ext.)
     
  • [140]
    2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978520
    He, Hongmei, Maple, Carsten, Watson, Tim, Tiwari, Ashutosh, Mehnen, Jorn, Jin, Yaochu, and Gabrys, Bogdan. “The security challenges in the IoT enabled cyber-physical systems and opportunities for evolutionary computing & other computational intelligence”. 2016 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2016. 1015-1021.
    PUB | DOI | Download (ext.)
     
  • [139]
    2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978521
    Brown, Craig, Jin, Yaochu, Leach, Matthew, and Hodgson, Martin. “$$\mu $$ μ JADE: adaptive differential evolution with a small population”. Soft Computing 20.10 (2016): 4111-4120.
    PUB | DOI | Download (ext.)
     
  • [138]
    2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978515
    Carneiro, Murillo G., Zhao, Liang, Cheng, Ran, and Jin, Yaochu. “Network structural optimization based on swarm intelligence for highlevel classification”. 2016 International Joint Conference on Neural Networks (IJCNN). IEEE, 2016. 3737-3744.
    PUB | DOI | Download (ext.)
     
  • [137]
    2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978509
    Han, Yuyan, Gong, Dunwei, Jin, Yaochu, and Pan, Quan-ke. “Evolutionary multi-objective blocking lot-streaming flow shop scheduling with interval processing time”. Applied Soft Computing 42 (2016): 229-245.
    PUB | DOI | Download (ext.)
     
  • [136]
    2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978507
    Wang, Handing, Jin, Yaochu, and Jansen, Jan O. “Data-Driven Surrogate-Assisted Multiobjective Evolutionary Optimization of a Trauma System”. IEEE Transactions on Evolutionary Computation 20.6 (2016): 939-952.
    PUB | DOI
     
  • [135]
    2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978510
    Sun, Chaoli, Jin, Yaochu, Ding, Jinliang, Zeng, Jianchao, Neumann, Frank, and Sutton, Andrew M. “Fitness Estimation Strategy Assisted Competitive Swarm Optimizer for High Dimensional Expensive Problems”. Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion. Ed. Tobias Friedrich, Frank Neumann, and Andrew M. Sutton. New York, NY, USA: ACM, 2016. 1277-1278.
    PUB | DOI | Download (ext.)
     
  • [134]
    2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978526
    Cheng, Ran, Jin, Yaochu, Narukawa, Kaname, and Sendhoff, Bernhard. “A Multiobjective Evolutionary Algorithm Using Gaussian Process-Based Inverse Modeling”. IEEE Transactions on Evolutionary Computation 19.6 (2015): 838-856.
    PUB | DOI | Download (ext.)
     
  • [133]
    2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978511
    Wu, I-Chen, Lee, Chang-Shing, Hsu, Shun-Chin, Loia, Vincenzo, Jin, Yaochu, Ting, Chuan-Kang, Yen, Shi-Jim, Wu, Yung-Gi, Horng, Mong-Fong, and Chen, Chuen-Liang. “General chairs and program chairs message”. 2015 Conference on Technologies and Applications of Artificial Intelligence (TAAI). IEEE, 2015. 13-14.
    PUB | DOI | Download (ext.)
     
  • [132]
    2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978522
    Zhang, Tao, Jin, Yaochu, Ding, Yongsheng, and Hao, Kuangrong. “A cytokine network-inspired cooperative control system for multi-stage stretching processes in fiber production”. Soft Computing 19.6 (2015): 1523-1540.
    PUB | DOI | Download (ext.)
     
  • [131]
    2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978523
    Wu, Yan, Jin, Yaochu, and Liu, Xiaoxiong. “A directed search strategy for evolutionary dynamic multiobjective optimization”. Soft Computing 19.11 (2015): 3221-3235.
    PUB | DOI | Download (ext.)
     
  • [130]
    2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978525
    Wang, Du-Juan, Liu, Feng, Wang, Yan-Zhang, and Jin, Yaochu. “A knowledge-based evolutionary proactive scheduling approach in the presence of machine breakdown and deterioration effect”. Knowledge-Based Systems 90 (2015): 70-80.
    PUB | DOI | Download (ext.)
     
  • [129]
    2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978527
    Cheng, Ran, and Jin, Yaochu. “A social learning particle swarm optimization algorithm for scalable optimization”. Information Sciences 291 (2015): 43-60.
    PUB | DOI | Download (ext.)
     
  • [128]
    2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978528
    Sun, Chaoli, Jin, Yaochu, Zeng, Jianchao, and Yu, Yang. “A two-layer surrogate-assisted particle swarm optimization algorithm”. Soft Computing 19.6 (2015): 1461-1475.
    PUB | DOI | Download (ext.)
     
  • [127]
    2015 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978529
    Cheng, Ran, Jin, Yaochu, and Narukawa, Kaname. “Adaptive Reference Vector Generation for Inverse Model Based Evolutionary Multiobjective Optimization with Degenerate and Disconnected Pareto Fronts”. Evolutionary Multi-Criterion Optimization. 8th International Conference, EMO 2015, Guimarães, Portugal, March 29 --April 1, 2015. Proceedings, Part I. Ed. António Gaspar-Cunha, Carlos Henggeler Antunes, and Carlos Coello Coello. Cham: Springer International Publishing, 2015.Vol. 9018. Lecture Notes in Computer Science. 127-140.
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  • [126]
    2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978530
    Jin, Yanling, Ding, Yongsheng, Hao, Kuangrong, and Jin, Yaochu. “An endocrine-based intelligent distributed cooperative algorithm for target tracking in wireless sensor networks”. Soft Computing 19.5 (2015): 1427-1441.
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  • [125]
    2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978532
    Rahman, Tameera, Mahapatra, Mana, Laing, Emma, and Jin, Yaochu. “Evolutionary non-linear modelling for selecting vaccines against antigenically variable viruses”. Bioinformatics 31.6 (2015): 834-840.
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  • [124]
    2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978536
    Chrol-Cannon, Joseph, and Jin, Yaochu. “Learning structure of sensory inputs with synaptic plasticity leads to interference”. Frontiers in Computational Neuroscience 9 (2015).
    PUB | DOI | Download (ext.)
     
  • [123]
    2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978537
    Gu, Shenkai, Cheng, Ran, and Jin, Yaochu. “Multi-objective ensemble generation”. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 5.5 (2015): 234-245.
    PUB | DOI | Download (ext.)
     
  • [122]
    2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978538
    Huang, Yuanjun, Jin, Yaochu, and Ding, Yongsheng. “New performance indicators for robust optimization over time”. 2015 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2015. 1380-1387.
    PUB | DOI | Download (ext.)
     
  • [121]
    2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978540
    Cheng, Ran, Olhofer, Markus, and Jin, Yaochu. “Reference vector based a posteriori preference articulation for evolutionary multiobjective optimization”. 2015 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2015. 939-946.
    PUB | DOI | Download (ext.)
     
  • [120]
    2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978541
    Yang, Bin, Ding, Yongsheng, Jin, Yaochu, and Hao, Kuangrong. “Self-organized swarm robot for target search and trapping inspired by bacterial chemotaxis”. Robotics and Autonomous Systems 72 (2015): 83-92.
    PUB | DOI | Download (ext.)
     
  • [119]
    2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978542
    Jin, Yaochu. “Special issue on UKCI 2013”. Soft Computing 19.6 (2015): 1443-1444.
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  • [118]
    2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978543
    Albukhanajer, Wissam A., Jin, Yaochu, and Briffa, Johann A. “Trade-off between computational complexity and accuracy in evolutionary image feature extraction”. 2015 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2015. 2412-2419.
    PUB | DOI | Download (ext.)
     
  • [117]
    2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978524
    Zhang, Xingyi, Tian, Ye, and Jin, Yaochu. “A Knee Point-Driven Evolutionary Algorithm for Many-Objective Optimization”. IEEE Transactions on Evolutionary Computation 19.6 (2015): 761-776.
    PUB | DOI
     
  • [116]
    2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978548
    Xue, Songdong, Sun, Chaoli, Zeng, Jianchao, Jin, Yaochu, and Cheng, Ran. “Effect of Communication Modes to Swarm Robotic Search”. The Open Electrical & Electronic Engineering Journal 8.1 (2014): 240-244.
    PUB | DOI | Download (ext.)
     
  • [115]
    2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978533
    Gu, Shenkai, and Jin, Yaochu. “Generating diverse and accurate classifier ensembles using multi-objective optimization”. 2014 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making (MCDM). IEEE, 2014. 9-15.
    PUB | DOI | Download (ext.)
     
  • [114]
    2014 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978544
    Oh, Hyondong, and Jin, Yaochu. “Adaptive Swarm Robot Region Coverage Using Gene Regulatory Networks”. Advances in Autonomous Robotics Systems. Ed. Michael Mistry, Aleš Leonardis, Mark Witkowski, and Chris Melhuish. Cham: Springer International Publishing, 2014. Lecture Notes in Computer Science. 197-208.
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  • [113]
    2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978545
    Zhou, Zhi-Hua, Chawla, Nitesh V., Jin, Yaochu, and Williams, Graham J. “Big Data Opportunities and Challenges: Discussions from Data Analytics Perspectives [Discussion Forum]”. IEEE Computational Intelligence Magazine 9.4 (2014): 62-74.
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  • [112]
    2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978546
    Chrol-Cannon, Joseph, and Jin, Yaochu. “Computational modeling of neural plasticity for self-organization of neural networks”. Biosystems 125 (2014): 43-54.
    PUB | DOI | Download (ext.)
     
  • [111]
    2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978547
    Cheng, Ran, and Jin, Yaochu. “Demonstrator selection in a social learning particle swarm optimizer”. 2014 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2014. 3103-3110.
    PUB | DOI | Download (ext.)
     
  • [110]
    2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978549
    Smith, Christopher, and Jin, Yaochu. “Evolutionary multi-objective generation of recurrent neural network ensembles for time series prediction”. Neurocomputing 143 (2014): 302-311.
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  • [109]
    2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978551
    Jin, Yaochu. “IEEE CIS VP-Technical Activities Vision Statement [Society Briefs]”. IEEE Computational Intelligence Magazine 9.1 (2014): 9-10.
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  • [108]
    2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978550
    Oh, Hyondong, and Jin, Yaochu. “Evolving hierarchical gene regulatory networks for morphogenetic pattern formation of swarm robots”. 2014 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2014. 776-783.
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  • [107]
    2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978552
    Yusoff, Mohd-Hanif, and Jin, Yaochu. “Modeling neural plasticity in echo state networks for time series prediction”. 2014 14th UK Workshop on Computational Intelligence (UKCI). IEEE, 2014. 1-7.
    PUB | DOI | Download (ext.)
     
  • [106]
    2014 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978553
    Ramezan Shirazi, Ataollah, Oh, Hyondong, and Jin, Yaochu. “Morphogenetic Self-Organization of Collective Movement without Directional Sensing”. Advances in Autonomous Robotics Systems. Ed. Michael Mistry, Aleš Leonardis, Mark Witkowski, and Chris Melhuish. Cham: Springer International Publishing, 2014. Lecture Notes in Computer Science. 139-150.
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  • [105]
    2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978554
    Smith, Christopher, Doherty, John, and Jin, Yaochu. “Multi-objective evolutionary recurrent neural network ensemble for prediction of computational fluid dynamic simulations”. 2014 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2014. 2609-2616.
    PUB | DOI | Download (ext.)
     
  • [104]
    2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978555
    Albukhanajer, Wissam A., Jin, Yaochu, and Briffa, Johann A. “Neural network ensembles for image identification using Pareto-optimal features”. 2014 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2014. 89-96.
    PUB | DOI | Download (ext.)
     
  • [103]
    2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978556 OA
    Chrol-Cannon, Joseph, and Jin, Yaochu. “On the Correlation between Reservoir Metrics and Performance for Time Series Classification under the Influence of Synaptic Plasticity”. PLoS ONE 9.7 (2014): e101792.
    PUB | PDF | DOI | Download (ext.)
     
  • [102]
    2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978557
    Thomas, Spencer Angus, and Jin, Yaochu. “Reconstructing biological gene regulatory networks: where optimization meets big data”. Evolutionary Intelligence 7.1 (2014): 29-47.
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  • [101]
    2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978558
    Liu, Tong, Sun, Chaoli, Zeng, Jianchao, Xue, Songdong, and Jin, Yaochu. “Similarity- and reliability-assisted fitness estimation for particle swarm optimization of expensive problems”. 2014 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2014. 640-646.
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  • [100]
    2013 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978559
    Albukhanajer, Wissam A., Jin, Yaochu, Briffa, Johann A., and Williams, Godfried. “A Comparative Study of Multi-objective Evolutionary Trace Transform Methods for Robust Feature Extraction”. Evolutionary Multi-Criterion Optimization. Ed. Robin C. Purshouse, Peter J. Fleming, Carlos M. Fonseca, Salvatore Greco, and Jane Shaw. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. Lecture Notes in Computer Science. 573-586.
    PUB | DOI | Download (ext.)
     
  • [99]
    2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978560
    Jin, Yaochu, Tang, Ke, Yu, Xin, Sendhoff, Bernhard, and Yao, Xin. “A framework for finding robust optimal solutions over time”. Memetic Computing 5.1 (2013): 3-18.
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  • [98]
    2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978561
    Meng, Yan, Guo, Hongliang, and Jin, Yaochu. “A morphogenetic approach to flexible and robust shape formation for swarm robotic systems”. Robotics and Autonomous Systems 61.1 (2013): 25-38.
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  • [97]
    2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978562
    Sun, Chaoli, Zeng, Jianchao, Pan, Jengshyang, Xue, Songdong, and Jin, Yaochu. “A new fitness estimation strategy for particle swarm optimization”. Information Sciences 221 (2013): 355-370.
    PUB | DOI | Download (ext.)
     
  • [96]
    2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978563
    Chen, Jiajia, Ding, Yongsheng, Jin, Yaochu, and Hao, Kuangrong. “A synergetic immune clonal selection algorithm based multi-objective optimization method for carbon fiber drawing process”. Fibers and Polymers 14.10 (2013): 1722-1730.
    PUB | DOI | Download (ext.)
     
  • [95]
    2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978564
    Lu, Jianfeng, Li, Bin, Jin, Yaochu, and Alba, Enrique. “An evolution strategy assisted by an ensemble of local Gaussian process models”. Proceedings of the 15th annual conference on Genetic and evolutionary computation. Ed. Christian Blum. New York, NY, USA: ACM, 2013. 447-454.
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  • [94]
    2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978565
    Jia, Guanbo, Wang, Yong, Cai, Zixing, and Jin, Yaochu. “An improved (μ+λ)-constrained differential evolution for constrained optimization”. Information Sciences 222 (2013): 302-322.
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  • [93]
    2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978566
    Le, Minh Nghia, Ong, Yew Soon, Menzel, Stefan, Jin, Yaochu, and Sendhoff, Bernhard. “Evolution by Adapting Surrogates”. Evolutionary Computation 21.2 (2013): 313-340.
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  • [92]
    2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978567
    Chai, Tianyou, Jin, Yaochu, and Sendhoff, Bernhard. “Evolutionary Complex Engineering Optimization: Opportunities and Challenges [Guest Editorial]”. IEEE Computational Intelligence Magazine 8.3 (2013): 12-15.
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  • [91]
    2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978568
    Xiao, Ayang, Wang, Benli, and Jin, Yaochu. “Evolutionary truss layout optimization using the vectorized structure approach”. 2013 IEEE Congress on Evolutionary Computation. IEEE, 2013. 2879-2886.
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  • [90]
    2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978569
    THOMAS, SPENCER ANGUS, and Jin, Yaochu. “EVOLVING CONNECTIVITY BETWEEN GENETIC OSCILLATORS AND SWITCHES USING EVOLUTIONARY ALGORITHMS”. Journal of Bioinformatics and Computational Biology 11.03 (2013): 1341001.
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  • [89]
    2013 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978571
    Zhuang, Lili, Tang, Ke, and Jin, Yaochu. “Metamodel Assisted Mixed-Integer Evolution Strategies Based on Kendall Rank Correlation Coefficient”. Intelligent Data Engineering and Automated Learning – IDEAL 2013. Ed. Hujun Yin, Ke Tang, Yang Gao, Frank Klawonn, Minho Lee, Thomas Weise, Bin Li, and Xin Yao. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. Lecture Notes in Computer Science. 366-375.
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  • [88]
    2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978572
    Thomas, Spencer Angus, Jin, Yaochu, Laing, Emma, and Smith, Colin P. “Reconstructing regulatory networks in Streptomyces using evolutionary algorithms”. 2013 13th UK Workshop on Computational Intelligence (UKCI). IEEE, 2013. 24-30.
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  • [87]
    2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978573
    Smith, Christopher, Doherty, John, and Jin, Yaochu. “Recurrent neural network ensembles for convergence prediction in surrogate-assisted evolutionary optimization”. 2013 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments (CIDUE). IEEE, 2013. 9-16.
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  • [86]
    2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978575
    Cheng, Ran, and Jin, Yaochu. “Simulating swarm behaviuors for optimisation by learning from neighbours”. 2013 13th UK Workshop on Computational Intelligence (UKCI). IEEE, 2013. 82-87.
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  • [85]
    2013 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978576
    Thomas, Spencer Angus, and Jin, Yaochu. “Single and Multi-objective in Silico Evolution of Tunable Genetic Oscillators”. Evolutionary Multi-Criterion Optimization. Ed. Robin C. Purshouse, Peter J. Fleming, Carlos M. Fonseca, Salvatore Greco, and Jane Shaw. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. Lecture Notes in Computer Science. 696-709.
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  • [84]
    2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978574
    Sun, Chaoli, Zeng, Jianchao, Pan, Jengshyang, and Jin, Yaochu. “Similarity-based evolution control for fitness estimation in particle swarm optimization”. Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments (CIDUE). IEEE, 2013. 1-8.
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  • [83]
    2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978577
    Jin, Yaochu. “2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (IEEE CIBCB 2012) [Conference Reports]”. IEEE Computational Intelligence Magazine 7.4 (2012): 17-17.
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  • [82]
    2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978578
    Yin, Jun, Meng, Yan, and Jin, Yaochu. “A Developmental Approach to Structural Self-Organization in Reservoir Computing”. IEEE Transactions on Autonomous Mental Development 4.4 (2012): 273-289.
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  • [81]
    2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978579
    Guo, Hongliang, Jin, Yaochu, and Meng, Yan. “A morphogenetic framework for self-organized multirobot pattern formation and boundary coverage”. ACM Transactions on Autonomous and Adaptive Systems 7.1 (2012): 1-23.
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  • [80]
    2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978580
    Le, Minh Nghia, Ong, Yew Soon, Jin, Yaochu, and Sendhoff, Bernhard. “A Unified Framework for Symbiosis of Evolutionary Mechanisms with Application to Water Clusters Potential Model Design”. IEEE Computational Intelligence Magazine 7.1 (2012): 20-35.
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  • [79]
    2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978581
    Bush, Daniel, and Jin, Yaochu. “Calcium control of triphasic hippocampal STDP”. Journal of Computational Neuroscience 33.3 (2012): 495-514.
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  • [78]
    2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978582
    Thomas, Spencer Angus, and Jin, Yaochu. “Combining genetic oscillators and switches using evolutionary algorithms”. 2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB). IEEE, 2012. 28-34.
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  • [77]
    2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978583
    Doncieux, Stephane, Jin, Yaochu, Mouret, Jean-Baptiste, and Moore, Jason H. “Evo-devo-robo workshop program”. Proceedings of the 14th annual conference companion on Genetic and evolutionary computation. Ed. Terence Soule. New York, NY, USA: ACM, 2012. 355-356.
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  • [76]
    2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978584
    Schramm, Lisa, Jin, Yaochu, and Sendhoff, Bernhard. “Evolution and Analysis of Genetic Networks for Stable Cellular Growth and Regeneration”. Artificial Life 18.4 (2012): 425-444.
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  • [75]
    2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978585
    Albukhanajer, Wissam A., Jin, Yaochu, Briffa, Johann A., and Williams, Godfried. “Evolutionary multi-objective optimization of trace transform for invariant feature extraction”. 2012 IEEE Congress on Evolutionary Computation. IEEE, 2012. 1-8.
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  • [74]
    2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978586
    Gu, Shenkai, and Jin, Yaochu. “Heterogeneous classifier ensembles for EEG-based motor imaginary detection”. 2012 12th UK Workshop on Computational Intelligence (UKCI). IEEE, 2012. 1-8.
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  • [73]
    2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978587
    Schramm, Lisa, Jin, Yaochu, and Sendhoff, Bernhard. “Quantitative analysis of redundancy in evolution of developmental systems”. 2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB). IEEE, 2012. 61-68.
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  • [72]
    2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978588
    Chrol-Cannon, Joseph, Gruning, Andre, and Jin, Yaochu. “The emergence of polychronous groups under varying input patterns, plasticity rules and network connectivities”. The 2012 International Joint Conference on Neural Networks (IJCNN). IEEE, 2012. 1-6.
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  • [71]
    2011 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978589
    Meng, Yan, Guo, Hongliang, and Jin, Yaochu. “A Multi-cellular Based Self-organizing Approach for Distributed Multi-Robot Systems”. New Horizons in Evolutionary Robotics. Ed. Stéphane Doncieux, Nicolas Bredèche, and Jean-Baptiste Mouret. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. Studies in Computational Intelligence. 123-137.
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  • [70]
    2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978590
    Meng, Yan, Zhang, Yuyang, and Jin, Yaochu. “Autonomous Self-Reconfiguration of Modular Robots by Evolving a Hierarchical Mechanochemical Model”. IEEE Computational Intelligence Magazine 6.1 (2011): 43-54.
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  • [69]
    2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978591
    Meng, Yan, Zhang, Yuyang, Sampath, Abhay, Jin, Yaochu, and Sendhoff, Bernhard. “Cross-Ball: A new morphogenetic self-reconfigurable modular robot”. 2011 IEEE International Conference on Robotics and Automation. IEEE, 2011. 267-272.
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  • [68]
    2011 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978592
    Schramm, Lisa, Jin, Yaochu, and Sendhoff, Bernhard. “Emerged Coupling of Motor Control and Morphological Development in Evolution of Multi-cellular Animats”. Advances in Artificial Life. Darwin Meets von Neumann. Ed. George Kampis, István Karsai, and Eörs Szathmáry. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. Lecture Notes in Computer Science. 27-34.
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  • [67]
    2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978594
    Jin, Yaochu, Meng, Yan, Weng, Juyang, and Kasabov, Nikola. “Guest Editorial Special Issue on Computational Modeling of Neural and Brain Development”. IEEE Transactions on Autonomous Mental Development 3.4 (2011): 273-275.
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  • [66]
    2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978593
    Jin, Yaochu, and Meng, Yan. “Emergence of robust regulatory motifs from in silico evolution of sustained oscillation”. Biosystems 103.1 (2011): 38-44.
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  • [65]
    2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978595
    Tyrrell, Andy M., and Jin, Yaochu. “Guest Editorial: Special Issue on Evolving Developmental Systems”. IEEE Transactions on Evolutionary Computation 15.3 (2011): 285-286.
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  • [64]
    2011 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978596
    Jin, Yaochu, and Meng, Yan. “Morphogenetic Robotics - An Evolutionary Developmental Approach to Morphological and Neural Self-Organization of Robotic Systems”. Bio-Inspired Self-Organizing Robotic Systems. Ed. Yan Meng and Yaochu Jin. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. Studies in Computational Intelligence. 3-23.
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  • [63]
    2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978597
    Jin, Yaochu, and Meng, Yan. “Morphogenetic Robotics: An Emerging New Field in Developmental Robotics”. IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews) 41.2 (2011): 145-160.
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  • [62]
    2011 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978598
    Meng, Yan, and Jin, Yaochu. “Morphogenetic Self-Reconfiguration of Modular Robots”. Bio-Inspired Self-Organizing Robotic Systems. Ed. Yan Meng and Yaochu Jin. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. Studies in Computational Intelligence. 143-171.
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  • [61]
    2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978599
    Liu, Meiqin, Zhang, Senlin, and Jin, Yaochu. “Multi-sensor optimal fusion filters for delayed nonlinear intelligent systems based on a unified model”. Neural Networks 24.3 (2011): 280-290.
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  • [60]
    2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978600
    Zheng, Yuhua, Meng, Yan, and Jin, Yaochu. “Object recognition using a bio-inspired neuron model with bottom-up and top-down pathways”. Neurocomputing 74.17 (2011): 3158-3169.
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  • [59]
    2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978601
    Schramm, Lisa, Jin, Yaochu, and Sendhoff, Bernhard. “Redundancy creates opportunity in developmental representations”. 2011 IEEE Symposium on Artificial Life (ALIFE). IEEE, 2011. 203-210.
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  • [58]
    2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978602
    Gehrmann, Eva, Gläßer, Christine, Jin, Yaochu, Sendhoff, Bernhard, Drossel, Barbara, and Hamacher, Kay. “Robustness of glycolysis in yeast to internal and external noise”. Physical Review E 84.2 (2011): 021913.
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  • [57]
    2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978603
    Jin, Yaochu. “Surrogate-assisted evolutionary computation: Recent advances and future challenges”. Swarm and Evolutionary Computation 1.2 (2011): 61-70.
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  • [56]
    2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978604
    Guo, Hongliang, Meng, Yan, and Jin, Yaochu. “Swarm robot pattern formation using a morphogenetic multi-cellular based self-organizing algorithm”. 2011 IEEE International Conference on Robotics and Automation. IEEE, 2011. 3205-3210.
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  • [55]
    2011 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978605
    Jones, Ben, Jin, Yaochu, Sendhoff, Bernhard, and Yao, Xin. “The Effect of Proprioceptive Feedback on the Distribution of Sensory Information in a Model of an Undulatory Organism”. Advances in Artificial Life. Darwin Meets von Neumann. Ed. George Kampis, István Karsai, and Eörs Szathmáry. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. Lecture Notes in Computer Science. 18-26.
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  • [54]
    2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978606
    Jin, Yaochu, and Trommler, Jens. “A fitness-independent evolvability measure for evolutionary developmental systems”. 2010 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology. IEEE, 2010. 1-8.
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  • [53]
    2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978607
    Jin, Yaochu, Meng, Yan, and Guo, Hongliang. “A morphogenetic self-organization algorithm for swarm robotic systems using relative position information”. 2010 UK Workshop on Computational Intelligence (UKCI). IEEE, 2010. 1-6.
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  • [52]
    2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978608
    Guo, Hongliang, Meng, Yan, and Jin, Yaochu. “Analysis of local communication load in shape formation of a distributed morphogenetic swarm robotic system”. IEEE Congress on Evolutionary Computation. IEEE, 2010. 1-8.
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  • [51]
    2010 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978609
    Jones, Ben, Jin, Yaochu, Sendhoff, Bernhard, and Yao, Xin. “Emergent Distribution of Computational Workload in the Evolution of an Undulatory Animat”. From Animals to Animats 11. Ed. Stéphane Doncieux, Benoît Girard, Agnès Guillot, John Hallam, Jean-Arcady Meyer, and Jean-Baptiste Mouret. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. Lecture Notes in Computer Science. 587-596.
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  • [50]
    2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978610
    Steiner, Till, Jin, Yaochu, Sendhoff, Bernhard, Pelikan, Martin, and Branke, Jürgen. “Evolving heterochrony for cellular differentiation using vector field embryogeny”. Proceedings of the 12th annual conference on Genetic and evolutionary computation. New York, NY, USA: ACM, 2010. 571-578.
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  • [49]
    2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978611
    Zheng, Yuhua, Meng, Yan, and Jin, Yaochu. “Fusing bottom-up and top-down pathways in neural networks for visual object recognition”. The 2010 International Joint Conference on Neural Networks (IJCNN). IEEE, 2010. 1-8.
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  • [48]
    2010 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978612
    Jin, Yaochu, and Meng, Yan. “Special Issue on Evolutionary and Developmental Robotics [Guest Editorial”. IEEE Computational Intelligence Magazine 5.3 (2010): 9-9.
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  • [47]
    2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978613
    Meng, Yan, Jin, Yaochu, Yin, Jun, and Conforth, Matthew. “Human activity detection using spiking neural networks regulated by a gene regulatory network”. The 2010 International Joint Conference on Neural Networks (IJCNN). IEEE, 2010. 1-6.
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  • [46]
    2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978615
    Jin, Yaochu, Oh, Sanghoun, and Jeon, Moongu. “Incremental approximation of nonlinear constraint functions for evolutionary constrained optimization”. IEEE Congress on Evolutionary Computation. IEEE, 2010. 1-8.
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  • [45]
    2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978617
    Yu, Xin, Jin, Yaochu, Tang, Ke, and Yao, Xin. “Robust optimization over time — A new perspective on dynamic optimization problems”. IEEE Congress on Evolutionary Computation. IEEE, 2010. 1-6.
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  • [44]
    2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978618
    Guo, Hongliang, Meng, Yan, and Jin, Yaochu. “A cellular mechanism for multi-robot construction via evolutionary multi-objective optimization of a gene regulatory network”. Biosystems 98.3 (2009): 193-203.
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  • [43]
    2009 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978619
    Jin, Yaochu, Schramm, Lisa, and Sendhoff, Bernhard. “A Gene Regulatory Model for the Development of Primitive Nervous Systems”. Advances in Neuro-Information Processing. 15th International Conference, ICONIP 2008, Auckland, New Zealand, November 25-28, 2008, Revised Selected Papers, Part I. Ed. Mario Köppen, Nikola Kasabov, and George Coghill. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. Lecture Notes in Computer Science. 48-55.
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  • [42]
    2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978620
    Jin, Yaochu, and Sendhoff, Bernhard. “A systems approach to evolutionary multiobjective structural optimization and beyond”. IEEE Computational Intelligence Magazine 4.3 (2009): 62-76.
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  • [41]
    2009 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978621
    Okabe, Tatsuya, Jin, Yaochu, and Sendhoff, Bernhard. “Combination of Genetic Algorithms and Evolution Strategies with Self-adaptive Switching”. Multi-Objective Memetic Algorithms. Ed. Chi-Keong Goh, Yew-Soon Ong, and Kay Chen Tan. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. Studies in Computational Intelligence. 281-307.
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  • [40]
    2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978622
    Jin, Yaochu, and Sendhoff, Bernhard. “Corrections to “Pareto-Based Multiobjective Machine Learning: An Overview and Case Studies” [May 08 397-415]”. IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews) 39.3 (2009): 373-373.
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  • [39]
    2009 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978623
    Jones, Ben, Jin, Yaochu, Yao, Xin, and Sendhoff, Bernhard. “Evolution of Neural Organization in a Hydra-Like Animat”. Advances in Neuro-Information Processing. 15th International Conference, ICONIP 2008, Auckland, New Zealand, November 25-28, 2008, Revised Selected Papers, Part I. Ed. Mario Köppen, Nikola Kasabov, and George Coghill. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. Lecture Notes in Computer Science. 216-223.
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  • [38]
    2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978624
    Jin, Yaochu, Gruna, Robin, Paenke, Ingo, and Sendhoff, Bernhard. “Evolutionary multi-objective optimization of robustness and innovation in redundant genetic representations”. 2009 IEEE Symposium on Computational Intelligence in Milti-Criteria Decision-Making. IEEE, 2009. 38-45.
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  • [37]
    2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978625
    Jin, Yaochu, and Hallinan, Jennifer. “Evolving gene regulatory networks”. Biosystems 98.3 (2009): vi-vii.
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  • [36]
    2009 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978626
    Jin, Yaochu, and Sendhoff, Bernhard. “Fuzzy Logic in Evolving in silico Oscillatory Dynamics for Gene Regulatory Networks”. Fuzzy Systems in Bioinformatics and Computational Biology. Ed. Yaochu Jin and Lipo Wang. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. Studies in Fuzziness and Soft Computing. 315-327.
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  • [35]
    2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978627
    Steiner, Till, Trommler, Jens, Brenn, Martin, Jin, Yaochu, and Sendhoff, Bernhard. “Global shape with morphogen gradients and motile polarized cells”. 2009 IEEE Congress on Evolutionary Computation. IEEE, 2009. 2225-2232.
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  • [34]
    2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978628
    Jin, Yaochu, Meng, Yan, and Sendhoff, Bernhard. “Influence of regulation logic on the easiness of evolving sustained oscillation for gene regulatory networks”. 2009 IEEE Symposium on Artificial Life. IEEE, 2009. 61-68.
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  • [33]
    2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978629
    Le, Minh Nghia, Ong, Yew-Soon, Jin, Yaochu, and Sendhoff, Bernhard. “Lamarckian memetic algorithms: local optimum and connectivity structure analysis”. Memetic Computing 1.3 (2009): 175-190.
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  • [32]
    2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978630
    Meeter, Martijn, Veldkamp, Rob, and Jin, Yaochu. “Multiple memory stores and operant conditioning: A rationale for memory’s complexity”. Brain and Cognition 69.1 (2009): 200-208.
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  • [31]
    2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978631
    Jin, Yaochu, Gruna, Robin, and Sendhoff, Bernhard. “Pareto analysis of evolutionary and learning systems”. Frontiers of Computer Science in China 3.1 (2009): 4-17.
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  • [30]
    2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978632
    Jin, Yaochu, Guo, Hongliang, and Meng, Yan. “Robustness Analysis and Failure Recovery of a Bio-Inspired Self-Organizing Multi-Robot System”. 2009 Third IEEE International Conference on Self-Adaptive and Self-Organizing Systems. IEEE, 2009. 154-164.
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  • [29]
    2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978633
    Guo, Hongliang, Meng, Yan, and Jin, Yaochu. “Self-adaptive multi-robot construction using gene regulatory networks”. 2009 IEEE Symposium on Artificial Life. IEEE, 2009. 53-60.
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  • [28]
    2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978634 OA
    Steiner, Till, Jin, Yaochu, and Sendhoff, Bernhard. “Vector Field Embryogeny”. PLoS ONE 4.12 (2009): e8177.
    PUB | PDF | DOI | Download (ext.)
     
  • [27]
    2008 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978636
    Zhou, Aimin, Zhang, Qingfu, Jin, Yaochu, and Sendhoff, Bernhard. “Combination of EDA and DE for continuous biobjective optimization”. 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence). IEEE, 2008. 1447-1454.
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  • [26]
    2008 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978637
    Zhang, Qingfu, Zhou, Aimin, and Jin, Yaochu. “Errata to “RM-MEDA: A Regularity Model-Based Multiobjective Estimation of Distribution Algorithm” [Feb 08 41-63]”. IEEE Transactions on Evolutionary Computation 12.3 (2008): 392-392.
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  • [25]
    2008 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978638
    Lim, Dudy, Ong, Yew-Soon, Jin, Yaochu, and Sendhoff, Bernhard. “Evolutionary Optimization with Dynamic Fidelity Computational Models”. Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence. 4th International Conference on Intelligent Computing, ICIC 2008 Shanghai, China, September 15-18, 2008 Proceedings. Ed. De-Shuang Huang, Donald C. Wunsch, Daniel S. Levine, and Kang-Hyun Jo. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. Lecture Notes in Computer Science. 235-242.
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  • [24]
    2008 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978639
    Jin, Yaochu, Sendhoff, Bernhard, and Körner, Edgar. “Rule Extraction from Compact Pareto-optimal Neural Networks”. Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases. Ed. Ashish Ghosh, Satchidananda Dehuri, and Susmita Ghosh. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. Studies in Computational Intelligence. 71-90.
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  • [23]
    2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978640
    Lim, Dudy, Ong, Yew-Soon, Jin, Yaochu, Sendhoff, Bernhard, and Lipson, Hod. “A study on metamodeling techniques, ensembles, and multi-surrogates in evolutionary computation”. Proceedings of the 9th annual conference on Genetic and evolutionary computation. New York, NY, USA: ACM, 2007. 1288-1295.
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  • [22]
    2007 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978641
    Lim, Dudy, Ong, Yew-Soon, Jin, Yaochu, Sendhoff, Bernhard, and Lee, Bu-Sung. “Efficient Hierarchical Parallel Genetic Algorithms using Grid computing”. Future Generation Computer Systems 23.4 (2007): 658-670.
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  • [21]
    2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978642
    Steiner, T., Schramm, L., Jin, Yaochu, and Sendhoff, B. “Emergence of feedback in artificial gene regulatory networks”. 2007 IEEE Congress on Evolutionary Computation. IEEE, 2007. 867-874.
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  • [20]
    2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978643
    Zhou, Aimin, Zhang, Qingfu, Jin, Yaochu, Sendhoff, Bernhard, Tsang, Edward, and Lipson, Hod. “Global multiobjective optimization via estimation of distribution algorithm with biased initialization and crossover”. Proceedings of the 9th annual conference on Genetic and evolutionary computation. New York, NY, USA: ACM, 2007. 617-623.
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  • [19]
    2007 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978644
    Gräning, Lars, Jin, Yaochu, and Sendhoff, Bernhard. “Individual-based Management of Meta-models for Evolutionary Optimization with Application to Three-Dimensional Blade Optimization”. Evolutionary Computation in Dynamic and Uncertain Environments. Ed. Shengxiang Yang, Yew-Soon Ong, and Yaochu Jin. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. Studies in Computational Intelligence. 225-250.
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  • [18]
    2007 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978645
    Lim, Dudy, Ong, Yew-Soon, Lim, Meng-Hiot, and Jin, Yaochu. “Single/Multi-objective Inverse Robust Evolutionary Design Methodology in the Presence of Uncertainty”. Evolutionary Computation in Dynamic and Uncertain Environments. Ed. Shengxiang Yang, Yew-Soon Ong, and Yaochu Jin. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. Studies in Computational Intelligence. 437-456.
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  • [17]
    2006 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978646
    Wang, Hanli, Kwong, Sam, Jin, Yaochu, and Tsang , Chi-Ho. “Agent Based Multi-Objective Approach to Generating Interpretable Fuzzy Systems”. Multi-Objective Machine Learning. Ed. Yaochu Jin. Berlin/Heidelberg: Springer-Verlag, 2006. Studies in Computational Intelligence. 339-364.
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  • [16]
    2006 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978647
    Yang, Shengxiang, Ong, Yew-Soon, and Jin, Yaochu. “Editorial to special issue on evolutionary computation in dynamic and uncertain environments”. Genetic Programming and Evolvable Machines 7.4 (2006): 293-294.
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  • [15]
    2006 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978648
    Branke, J., and Jin, Yaochu. “Guest Editorial Special Issue on Evolutionary Computation in the Presence of Uncertainty”. IEEE Transactions on Evolutionary Computation 10.4 (2006): 377-379.
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  • [14]
    2006 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978649
    Lim, Dudy, Ong, Yew-Soon, Jin, Yaochu, Sendhoff, Bernhard, and Lee, Bu Sung. “Inverse multi-objective robust evolutionary design”. Genetic Programming and Evolvable Machines 7.4 (2006): 383-404.
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  • [13]
    2006 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978650
    Foli, Kwasi, Okabe, Tatsuya, Olhofer, Markus, Jin, Yaochu, and Sendhoff, Bernhard. “Optimization of micro heat exchanger: CFD, analytical approach and multi-objective evolutionary algorithms”. International Journal of Heat and Mass Transfer 49.5-6 (2006): 1090-1099.
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  • [12]
    2006 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978651
    Jin, Yaochu, Sendhoff, Bernhard, and Körner, Edgar. “Simultaneous Generation of Accurate and Interpretable Neural Network Classifiers”. Multi-Objective Machine Learning. Ed. Yaochu Jin. Berlin/Heidelberg: Springer-Verlag, 2006. Studies in Computational Intelligence. 289-312.
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  • [11]
    2005 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978652
    Wang, H., Kwong, S., Jin, Yaochu, Wei, W., and Man, K.-F. “Agent-Based Evolutionary Approach for Interpretable Rule-Based Knowledge Extraction”. IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews) 35.2 (2005): 143-155.
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  • [10]
    2005 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978653
    Jin, Yaochu, and Branke, J. “Evolutionary Optimization in Uncertain Environments—A Survey”. IEEE Transactions on Evolutionary Computation 9.3 (2005): 303-317.
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  • [9]
    2005 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978654
    Jin, Yaochu. “Guest Editorial Special Issue on Knowledge Extraction and Incorporation in Evolutionary Computation”. IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews) 35.2 (2005): 129-130.
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  • [8]
    2005 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978655
    Wang, Hanli, Kwong, Sam, Jin, Yaochu, Wei, Wei, and Man, K.F. “Multi-objective hierarchical genetic algorithm for interpretable fuzzy rule-based knowledge extraction”. Fuzzy Sets and Systems 149.1 (2005): 149-186.
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  • [7]
    2004 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978656
    Jin, Yaochu, and Sendhoff, Bernhard. “Reducing Fitness Evaluations Using Clustering Techniques and Neural Network Ensembles”. Genetic and Evolutionary Computation – GECCO 2004. Genetic and Evolutionary Computation Conference, Seattle, WA, USA, June 26-30, 2004. Proceedings, Part I. Ed. Kalyanmoy Deb. Berlin, Heidelberg: Springer, 2004.Vol. 3102. Lecture Notes in Computer Science. 688-699.
    PUB | DOI
     
  • [6]
    2003 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978657
    Jin, Yaochu, Okabe, Tatsuya, and Sendhoff, Bernhard. “Solving Three-Objective Optimization Problems Using Evolutionary Dynamic Weighted Aggregation: Results and Analysis”. Genetic and Evolutionary Computation — GECCO 2003. Ed. Erick Cantú-Paz, James A. Foster, Kalyanmoy Deb, Lawrence David Davis, Rajkumar Roy, Una-May O’Reilly, Hans-Georg Beyer, Russell Standish, Graham Kendall, Stewart Wilson, Mark Harman, Joachim Wegener, Dipankar Dasgupta, Mitch A. Potter, Alan C. Schultz, Kathryn A. Dowsland, Natasha Jonoska, and Julian Miller. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. Lecture Notes in Computer Science. 636-637.
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  • [5]
    2003 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978658
    Jin, Yaochu, and Sendhoff, Bernhard. “Trade-Off between Performance and Robustness: An Evolutionary Multiobjective Approach”. Evolutionary Multi-Criterion Optimization. Ed. Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Lothar Thiele, and Kalyanmoy Deb. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. Lecture Notes in Computer Science. 237-251.
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  • [4]
    2000 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978659
    Jin, Yaochu. “Fuzzy modeling of high-dimensional systems: complexity reduction and interpretability improvement”. IEEE Transactions on Fuzzy Systems 8.2 (2000): 212-221.
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  • [3]
    1999 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978660
    Jin, Yaochu, and von Seelen, Werner. “Evaluating flexible fuzzy controllers via evolution strategies”. Fuzzy Sets and Systems 108.3 (1999): 243-252.
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  • [2]
    1995 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978661
    Jin, Yaochu, Jiang, Jingping, and Zhu, Jing. “Adaptive fuzzy modelling and identification with its applications”. International Journal of Systems Science 26.2 (1995): 197-212.
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  • [1]
    1995 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978684
    Jin, Yaochu, Jiang, Jingping, and Zhu, Jing. “Neural network based fuzzy identification and its application to modeling and control of complex systems”. IEEE Transactions on Systems, Man, and Cybernetics 25.6 (1995): 990-997.
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