442 Publikationen

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  • [442]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2988584
    Tian, M.; Chen, M.; Du, W.; Tang, Y.; Jin, Y. (2024): An Enhanced Differential Grouping Method for Large-Scale Overlapping Problems IEEE Transactions on Evolutionary Computation, 1-1.
    PUB | DOI
     
  • [441]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2988508
    Huang, B.; Cheng, R.; Li, Z.; Jin, Y.; Tan, K. C. (2024): EvoX: A Distributed GPU-Accelerated Framework for Scalable Evolutionary Computation IEEE Transactions on Evolutionary Computation, 1-1.
    PUB | DOI
     
  • [440]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2988180
    Ming, F.; Gong, W.; Wang, L.; Jin, Y. (2024): Constrained Multi-Objective Optimization With Deep Reinforcement Learning Assisted Operator Selection IEEE/CAA Journal of Automatica Sinica,11:(4): 919-931.
    PUB | DOI | WoS
     
  • [439]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2986532
    Ming, F.; Gong, W.; Jin, Y. (2024): Even Search in a Promising Region for Constrained Multi-Objective Optimization IEEE/CAA Journal of Automatica Sinica,11:(2): 474-486.
    PUB | DOI | WoS
     
  • [438]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2988376
    Fang, W.; Du, W.; He, R.; Tang, Y.; Jin, Y.; Yen, G. G. (2024): Diffusion Model-Based Multiobjective Optimization for Gasoline Blending Scheduling IEEE Computational Intelligence Magazine,19:(2): 61-76.
    PUB | DOI
     
  • [437]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2988289
    Ming, F.; Gong, W.; Jin, Y. (2024): Growing Neural Gas Network-based surrogate-assisted Pareto set learning for multimodal multi-objective optimization Swarm and Evolutionary Computation,87:101541
    PUB | DOI
     
  • [436]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2988280
    Wang, Z.; Wang, H.; Tian, C.; Jin, Y. (2024): Efficient adversarial training with multi-fidelity optimization for robust neural network Neurocomputing,127627
    PUB | DOI
     
  • [435]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2988267
    Zhang, W.; Du, W.; Du, W.; He, R.; Jin, Y. (2024): Large-Scale Continuous-Time Crude Oil Scheduling: A Variable-Length Evolutionary Optimization Approach IEEE Transactions on Automation Science and Engineering, 1-16.
    PUB | DOI
     
  • [434]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2982949
    Li, N.; Ma, L.; Yu, G.; Xue, B.; Zhang, M.; Jin, Y. (2024): Survey on Evolutionary Deep Learning: Principles, Algorithms, Applications, and Open Issues ACM Computing Surveys,56:(2): 1-34.
    PUB | DOI | WoS
     
  • [433]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2988102
    Chen, X.; Bai, R.; Qu, R.; Dong, J.; Jin, Y. (2024): Deep Reinforcement Learning Assisted Genetic Programming Ensemble Hyper-Heuristics for Dynamic Scheduling of Container Port Trucks IEEE Transactions on Evolutionary Computation, 1-1.
    PUB | DOI
     
  • [432]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2988103
    Wu, H.; Jin, Y.; Gao, K.; Ding, J.; Cheng, R. (2024): 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, 1-16.
    PUB | DOI
     
  • [431]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2988030
    Pan, L.; Lin, J.; Wang, H.; He, C.; Tan, K. C.; Jin, Y. (2024): Computationally Expensive High-Dimensional Multiobjective Optimization via Surrogate-Assisted Reformulation and Decomposition IEEE Transactions on Evolutionary Computation, 1-1.
    PUB | DOI
     
  • [430]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2987810
    Tan, X.; Qu, C.; Xiong, J.; Zhang, J.; Qiu, X.; Jin, Y. (2024): Model-Based Off-Policy Deep Reinforcement Learning With Model-Embedding IEEE Transactions on Emerging Topics in Computational Intelligence, 1-13.
    PUB | DOI
     
  • [429]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2987559
    Liu, S.; Yan, X.; Jin, Y. (2024): An edge-aware graph autoencoder trained on scale-imbalanced data for traveling salesman problems Knowledge-Based Systems,111559
    PUB | DOI
     
  • [428]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2987549
    Wu, L.; Jin, Y.; Yan, Y.; Hao, K. (2024): FL-OTCSEnc: Towards secure federated learning with deep compressed sensing Knowledge-Based Systems,291:111534
    PUB | DOI
     
  • [427]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2987476
    Qian, F.; Jin, Y.; Yu, X.; Tang, Y.; Marin, G. B. (2024): 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): 2914-2916.
    PUB | DOI
     
  • [426]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2987419
    Wu, H.; Chen, Q.; Jin, Y.; Ding, J.; Chai, T. (2024): A Surrogate-Assisted Expensive Constrained Multi-Objective Optimization Algorithm Based on Adaptive Switching of Acquisition Functions IEEE Transactions on Emerging Topics in Computational Intelligence, 1-15.
    PUB | DOI
     
  • [425]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2987288
    Xie, G.; Wang, J.; Liu, J.; Lyu, J.; Liu, Y.; Wang, C.; Zheng, F.; Jin, Y. (2024): IM-IAD: Industrial Image Anomaly Detection Benchmark in Manufacturing IEEE Transactions on Cybernetics, 1-14.
    PUB | DOI
     
  • [424]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2987055
    Yang, Z.; Zhang, J.; Jiang, Y.; Jin, Y. (2024): An Energy-Efficient Convolution-Based Partitioned Collaborative Perception Algorithm for Large-Scale IoT Services IEEE Transactions on Industrial Informatics, 1-10.
    PUB | DOI
     
  • [423]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2987054
    Yue, P.; Jin, Y.; Dai, X.; Feng, Z.; Cui, D. (2024): Reinforcement Learning for Scalable Train Timetable Rescheduling With Graph Representation IEEE Transactions on Intelligent Transportation Systems, 1-14.
    PUB | DOI
     
  • [422]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2986971
    Luo, J.; Dong, Y.; Liu, Q.; Zhu, Z.; Cao, W.; Tan, K. C.; Jin, Y. (2024): A New Multitask Joint Learning Framework for Expensive Multi-Objective Optimization Problems IEEE Transactions on Emerging Topics in Computational Intelligence, 1-16.
    PUB | DOI
     
  • [421]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2986970
    Song, Z.; Wang, H.; Xue, B.; Zhang, M.; Jin, Y. (2024): Balancing Objective Optimization and Constraint Satisfaction in Expensive Constrained Evolutionary Multi-Objective Optimization IEEE Transactions on Evolutionary Computation, 1-1.
    PUB | DOI
     
  • [420]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2986969
    Liu, Y.; Liu, J.; Ding, J.; Yang, S.; Jin, Y. (2024): A Surrogate-Assisted Differential Evolution with Knowledge Transfer for Expensive Incremental Optimization Problems IEEE Transactions on Evolutionary Computation, 1-1.
    PUB | DOI
     
  • [419]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2986078 OA
    Liu, J.; Xie, G.; Wang, J.; Li, S.; Wang, C.; Zheng, F.; Jin, Y. (2024): Deep Industrial Image Anomaly Detection: A Survey Machine Intelligence Research,21:(1): 104-135.
    PUB | PDF | DOI | WoS
     
  • [418]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2986574
    Qiu, X.; Qian, J.; Wang, H.; Tan, X.; Jin, Y. (2024): An attentive Copula-based spatio-temporal graph model for multivariate time-series forecasting Applied Soft Computing,111324
    PUB | DOI
     
  • [417]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2986443
    Zhang, W.; Du, W.; Yu, G.; He, R.; Du, W.; Jin, Y. (2024): Knowledge-Assisted Dual-Stage Evolutionary Optimization of Large-Scale Crude Oil Scheduling IEEE Transactions on Emerging Topics in Computational Intelligence, 1-15.
    PUB | DOI
     
  • [416]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2985956
    Jin, Y. (2024): CIS-ing in an Uncertain World [President's Message] IEEE Computational Intelligence Magazine,19:(1): 4-5.
    PUB | DOI
     
  • [415]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2983805
    Xie, G.; Huang, Y.; Wang, J.; Lyu, J.; Zheng, F.; Zheng, Y.; Jin, Y. (2024): Cross-modality Neuroimage Synthesis: A Survey ACM Computing Surveys,56:(3): 1-28.
    PUB | DOI | WoS
     
  • [414]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2983299
    Zhang, T.; Wang, H.; Yuan, B.; Jin, Y.; Yao, X. (2023): Surrogate-Assisted Evolutionary -Learning for Black-Box Dynamic Time-Linkage Optimization Problems IEEE Transactions on Evolutionary Computation,27:(5): 1162-1176.
    PUB | DOI | WoS
     
  • [413]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2979758 OA
    Yan, X.; Jin, Y.; Ke, X.; Hao, Z. (2023): Multi-task evolutionary optimization of multi-echelon location routing problems via a hierarchical fuzzy graph Complex & Intelligent Systems,9
    PUB | PDF | DOI | WoS
     
  • [412]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2980780 OA
    Xie, G.; Wang, J.; Yu, G.; Lyu, J.; Zheng, F.; Jin, Y. (2023): Tiny adversarial multi-objective one-shot neural architecture search Complex & Intelligent Systems,9
    PUB | PDF | DOI | Download (ext.) | WoS
     
  • [411]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2983718
    Lei, T.; Xu, Y.; Ning, H.; Lv, Z.; Min, C.; Jin, Y.; Nandi, A. K. (2023): Lightweight Structure-aware Transformer Network for Remote Sensing Image Change Detection IEEE Geoscience and Remote Sensing Letters, 1-1.
    PUB | DOI | WoS
     
  • [410]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2982935
    Zhang, X.; Jin, Y.; Qian, F. (2023): A self-adaptive dynamic multi-objective optimization algorithm based on transfer learning and elitism-based mutation Neurocomputing,126761
    PUB | DOI | WoS
     
  • [409]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2985552
    Li, F.; Shang, Z.; Liu, Y.; Shen, H.; Jin, Y. (2023): Inverse distance weighting and radial basis function based surrogate model for high-dimensional expensive multi-objective optimization Applied Soft Computing,111194
    PUB | DOI | WoS
     
  • [408]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2985124
    Yang, C.; Ding, J.; Jin, Y.; Chai, T. (2023): A Data Stream Ensemble Assisted Multifactorial Evolutionary Algorithm for Offline Data-Driven Dynamic Optimization Evolutionary Computation ,31:(4): 433-458.
    PUB | DOI | WoS | PubMed | Europe PMC
     
  • [407]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2983502
    Liu, Q.; Yan, Y.; Ligeti, P.; Jin, Y. (2023): A Secure Federated Data-Driven Evolutionary Multi-Objective Optimization Algorithm IEEE Transactions on Emerging Topics in Computational Intelligence, 1-15.
    PUB | DOI | WoS
     
  • [406]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2985405
    Zhang, M.; Liu, L.; Jin, Y.; Lei, Z.; Wang, Z.; Jiao, L. (2023): Tree-shaped multiobjective evolutionary CNN for hyperspectral image classification Applied Soft Computing,111176
    PUB | DOI
     
  • [405]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2983757
    Liu, Q.; Lanfermann, F.; Rodemann, T.; Olhofer, M.; Jin, Y. (2023): Surrogate-Assisted Many-Objective Optimization of Building Energy Management IEEE Computational Intelligence Magazine,18:(4): 14-28.
    PUB | DOI | WoS
     
  • [404]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2985020
    Liu, Q.; Yan, Y.; Jin, Y.; Wang, X.; Ligeti, P.; Yu, G.; Yan, X. (2023): Secure Federated Evolutionary Optimization—A Survey Engineering
    PUB | DOI
     
  • [403]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2983244
    Xue, D.; Lei, T.; Yang, S.; Lv, Z.; Liu, T.; Jin, Y.; Nandi, A. K. (2023): Triple Change Detection Network via Joint Multi-frequency and Full-scale Swin-Transformer for Remote Sensing Images IEEE Transactions on Geoscience and Remote Sensing, 1-1.
    PUB | DOI | WoS
     
  • [402]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2984612 OA
    Liu, J.; Jin, Y. (2023): A comprehensive survey of robust deep learning in computer vision Journal of Automation and Intelligence
    PUB | PDF | DOI | Download (ext.)
     
  • [401]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2984426
    Yang, S.; Wang, H.; Pang, Y.; Jin, Y.; Linares-Barranco, B. (2023): Integrating Visual Perception With Decision Making in Neuromorphic Fault-Tolerant Quadruplet-Spike Learning Framework IEEE Transactions on Systems, Man, and Cybernetics: Systems, 1-13.
    PUB | DOI
     
  • [400]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2984065
    Wang, X.; Jin, Y.; Schmitt, S.; Olhofer, M. (2023): Recent Advances in Bayesian Optimization ACM Computing Surveys,55:(13S):287
    PUB | DOI | WoS
     
  • [399]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2982971
    Yan, X.; Fang, Z.; Jin, Y. (2023): An adaptive n-gram transformer for multi-scale scene text recognition Knowledge-Based Systems,110964
    PUB | DOI | WoS
     
  • [398]
    2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2983916
    Wang, Z.; Wang, H.; Tian, C.; Jin, Y.; El Saddik, A.; Mei, T.; Cucchiara, R.; Bertini, M.; Tobon Vallejo, D. P.; Atrey, P. K.; Hossain, M. S. (2023): Adversarial Training of Deep Neural Networks Guided by Texture and Structural Information. In: Proceedings of the 31st ACM International Conference on Multimedia. New York, NY, USA: ACM. S. 4958-4967.
    PUB | DOI
     
  • [397]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2983734
    Zhang, Y.; Tian, Y.; Jiang, H.; Zhang, X.; Jin, Y. (2023): Design and analysis of helper-problem-assisted evolutionary algorithm for constrained multiobjective optimization Information Sciences,648:119547
    PUB | DOI | WoS
     
  • [396]
    2023 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2983444
    Jiang, H.; Chou, K.; Tian, Y.; Zhang, X.; Jin, Y. (2023): Efficient Surrogate Modeling Method for Evolutionary Algorithm to Solve Bilevel Optimization Problems IEEE Transactions on Cybernetics
    PUB | DOI | WoS | PubMed | Europe PMC
     
  • [395]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2981615
    Wu, L.; Jin, Y.; Hao, K. (2023): Optimized compressed sensing for communication efficient federated learning Knowledge-Based Systems,110805
    PUB | DOI | Download (ext.) | WoS
     
  • [394]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2983378
    Liu, Q.; Yan, Y.; Jin, Y. (2023): Privacy-Preserving Federated Bayesian Optimization with Learnable Noise Information Sciences,119739
    PUB | DOI
     
  • [393]
    2023 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2983166
    Li, H.; Jin, Y.; Chai, T. (2023): Evolutionary Multi-Objective Bayesian Optimization Based on Multisource Online Transfer Learning IEEE Transactions on Emerging Topics in Computational Intelligence
    PUB | DOI | WoS
     
  • [392]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2983214
    Si, L.; Zhang, X.; Tian, Y.; Yang, S.; Zhang, L.; Jin, Y. (2023): Linear Subspace Surrogate Modeling for Large-Scale Expensive Single/Multi-Objective Optimization IEEE Transactions on Evolutionary Computation, 1-1.
    PUB | DOI
     
  • [391]
    2023 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2982658
    Wang, X.; Jin, Y.; Schmitt, S.; Olhofer, M. (2023): Alleviating Search Bias in Bayesian Evolutionary Optimization With Many Heterogeneous Objectives IEEE Transactions on Systems, Man, and Cybernetics: Systems, 1-13.
    PUB | DOI | Download (ext.) | WoS
     
  • [390]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2983126
    Luo, W.; Jin, Y.; Huang, C. (2023): Guest Editorial: Special Issue on Security and Privacy in Machine Learning IEEE Transactions on Artificial Intelligence,4:(5): 986-987.
    PUB | DOI
     
  • [389]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2983127
    Zhu, H.; Wang, R.; Jin, Y.; Liang, K. (2023): PIVODL: Privacy-Preserving Vertical Federated Learning Over Distributed Labels IEEE Transactions on Artificial Intelligence,4:(5): 988-1001.
    PUB | DOI
     
  • [388]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2982907
    Ma, L.; Li, N.; Yu, G.; Geng, X.; Cheng, S.; Wang, X.; Huang, M.; Jin, Y. (2023): Pareto-Wise Ranking Classifier for Multi-Objective Evolutionary Neural Architecture Search IEEE Transactions on Evolutionary Computation, 1-1.
    PUB | DOI
     
  • [387]
    2023 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2982782
    Yan, X.; Huang, H.; Jin, Y.; Chen, L.; Liang, Z.; Hao, Z. (2023): Neural Architecture Search via Multi-Hashing Embedding and Graph Tensor Networks for Multilingual Text Classification IEEE Transactions on Emerging Topics in Computational Intelligence
    PUB | DOI | WoS
     
  • [386]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2980810
    Wang, R.; Zhang, Q.; Dai, X.; Yuan, Z.; Zhang, T.; Ding, S.; Jin, Y. (2023): An efficient evolutionary algorithm for high-speed train rescheduling under a partial station blockage Applied Soft Computing,145:110590
    PUB | DOI | Download (ext.) | WoS
     
  • [385]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2979431
    Liu, Q.; Fan, J.; Zhang, J. - X.; Jin, Y. (2023): Guest Editorial: Advanced Intelligent Manufacturing System: Theory, Algorithms, and Industrial Applications IEEE Transactions on Industrial Informatics,19:(6): 7720-7723.
    PUB | DOI | WoS
     
  • [384]
    2023 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2982416
    Yan, Y.; Kamel, M. B. M.; Zoltay, M.; Gal, M.; Hollos, R.; Jin, Y.; Peter, L.; Tenyi, A. (2023): Fedlabx: a practical and privacy-preserving framework for federated learning Complex & Intelligent Systems
    PUB | DOI | WoS
     
  • [383]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2981362
    Ma, L.; Liu, Y.; Yu, G.; Wang, X.; Mo, H.; Wang, G. - G.; Jin, Y.; Tan, Y. (2023): 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, 1-14.
    PUB | DOI | Download (ext.) | WoS
     
  • [382]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2981804
    Li, H.; Ma, C.; Zhang, C.; Chen, Q.; He, C.; Jin, Y. (2023): A Knowledge-Based Cooperative Co-Evolutionary Algorithm for Non-Contact Voltage Measurement IEEE Transactions on Emerging Topics in Computational Intelligence, 1-14.
    PUB | DOI | Download (ext.) | WoS
     
  • [381]
    2023 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2978326
    Qin, S.; Sun, C.; Liu, Q.; Jin, Y. (2023): A Performance Indicator Based Infill Criterion for Expensive Multi-/Many-objective Optimization IEEE Transactions on Evolutionary Computation, 1-1.
    PUB | DOI | Download (ext.) | WoS
     
  • [380]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2982281
    Yue, P.; Jin, Y.; Dai, X.; Feng, Z.; Cui, D. (2023): Reinforcement Learning for Online Dispatching Policy in Real-Time Train Timetable Rescheduling IEEE Transactions on Intelligent Transportation Systems, 1-13.
    PUB | DOI
     
  • [379]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2982169
    Yazdani, D.; Omidvar, M. N.; Yazdani, D.; Branke, J.; Nguyen, T. T.; Gandomi, A. H.; Jin, Y.; Yao, X. (2023): Robust Optimization Over Time: A Critical Review IEEE Transactions on Evolutionary Computation, 1-1.
    PUB | DOI | Download (ext.)
     
  • [378]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2981956
    Liu, J.; Cheng, R.; Jin, Y. (2023): Bi-fidelity evolutionary multiobjective search for adversarially robust deep neural architectures Neurocomputing,550:126465
    PUB | DOI | WoS
     
  • [377]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2981136
    Wang, S.; Ding, B.; Jin, Y. (2023): A Multi-Factorial Evolutionary Algorithm With Asynchronous Optimization Processes for Solving the Robust Influence Maximization Problem IEEE Computational Intelligence Magazine,18:(3): 41-53.
    PUB | DOI | Download (ext.) | WoS
     
  • [376]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2979584
    Wu, Y.; Peng, X.; Wang, H.; Jin, Y.; Xu, D. (2023): Cooperative Coevolutionary CMA-ES With Landscape-Aware Grouping in Noisy Environments IEEE Transactions on Evolutionary Computation,27:(3): 686-700.
    PUB | DOI | Download (ext.) | WoS
     
  • [375]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2980955
    Fan, Z.; Wang, Z.; Li, W.; Zhu, X.; Hu, B.; Zou, A. - M.; Bao, W.; Gu, M.; Hao, Z.; Jin, Y. (2023): Automated pattern generation for swarm robots using constrained multi-objective genetic programming Swarm and Evolutionary Computation,81:101337
    PUB | DOI | WoS
     
  • [374]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2980536
    Wang, J.; Xie, G.; Huang, Y.; Lyu, J.; Zheng, F.; Zheng, Y.; Jin, Y. (2023): FedMed-GAN: Federated domain translation on unsupervised cross- modality brain image synthesis Neurocomputing,546:126282
    PUB | DOI | WoS
     
  • [373]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2979947
    Song, Z.; Wang, H.; Jin, Y. (2023): A Surrogate-Assisted Evolutionary Framework With Regions of Interests-Based Data Selection for Expensive Constrained Optimization IEEE Transactions on Systems, Man, and Cybernetics: Systems, 1-13.
    PUB | DOI | Download (ext.) | WoS
     
  • [372]
    2023 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2979307
    Guo, H.; Peng, Q.; Cao, Z.; Jin, Y. (2023): DRL-Searcher: A Unified Approach to Multirobot Efficient Search for a Moving Target IEEE Transactions on Neural Networks and Learning Systems, 1-14.
    PUB | DOI | WoS | PubMed | Europe PMC
     
  • [371]
    2023 | Zeitschriftenaufsatz | Im Druck | PUB-ID: 2978720
    Yang, S.; Pang, Y.; Wang, H.; Lei, T.; Pan, J.; Wang, J.; Jin, Y. (In Press): Spike-Driven Multi-Scale Learning with Hybrid Mechanisms of Spiking Dendrites Neurocomputing,126240
    PUB | DOI | Download (ext.) | WoS
     
  • [370]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2979725
    Zhang, X.; Yu, G.; Jin, Y.; Qian, F. (2023): An adaptive Gaussian process based manifold transfer learning to expensive dynamic multi-objective optimization NEUROCOMPUTING,538:126212
    PUB | DOI | WoS
     
  • [369]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978320
    Zhang, X.; Yu, G.; Jin, Y.; Qian, F. (2023): Elitism-based transfer learning and diversity maintenance for dynamic multi-objective optimization Information Sciences,636:118927
    PUB | DOI | Download (ext.) | WoS
     
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    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978382
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    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978323
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    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978332
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    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978342
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    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978343
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    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978344
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    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978352
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    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978354 OA
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    2022 | Konferenzbeitrag | PUB-ID: 2978672
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    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978407
    Tian, Y.; Zhang, X.; Cheng, R.; He, C.; Jin, Y. (2020): Guiding Evolutionary Multiobjective Optimization With Generic Front Modeling IEEE Transactions on Cybernetics,50:(3): 1106-1119.
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    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978408
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    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978410
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    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978409
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    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978420
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    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978419
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    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978421
    Peng, X.; Jin, Y.; Wang, H. (2019): Multimodal Optimization Enhanced Cooperative Coevolution for Large-Scale Optimization IEEE Transactions on Cybernetics,49:(9): 3507-3520.
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    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978423
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    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978424
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    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978425
    Yang, C.; Ding, J.; Jin, Y.; Wang, C.; Chai, T. (2019): Multitasking Multiobjective Evolutionary Operational Indices Optimization of Beneficiation Processes IEEE Transactions on Automation Science and Engineering,16:(3): 1046-1057.
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    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978427
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    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978426
    Sun, C.; Wang, H.; Du, W.; Jin, Y. (2019): Guest Editorial: Special Issue on Computational Intelligence in Data-Driven Optimization IEEE Transactions on Emerging Topics in Computational Intelligence,3:(2): 90-92.
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    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978429
    Fan, Q.; Jin, Y.; Wang, W.; Yan, X. (2019): A performance-driven multi-algorithm selection strategy for energy consumption optimization of sea-rail intermodal transportation Swarm and Evolutionary Computation,44: 1-17.
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    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978430
    Wang, Y.; Wang, D.; Ye, X.; Wang, Y.; Yin, Y.; Jin, Y. (2019): A tree ensemble-based two-stage model for advanced-stage colorectal cancer survival prediction Information Sciences,474: 106-124.
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    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978431
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    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978433
    Han, Y.; Gong, D.; Jin, Y.; Pan, Q. (2019): Evolutionary Multiobjective Blocking Lot-Streaming Flow Shop Scheduling With Machine Breakdowns IEEE Transactions on Cybernetics,49:(1): 184-197.
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    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978434
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    2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978436
    Zhou, Y.; Jin, Y.; Ding, J. (2019): Evolutionary Optimization of Liquid State Machines for Robust Learning. In: Huchuan Lu; Huajin Tang; Zhanshan Wang (Hrsg.): Advances in Neural Networks – ISNN 2019. 16th International Symposium on Neural Networks, ISNN 2019, Moscow, Russia, July 10–12, 2019, Proceedings, Part I. Cham: Springer International Publishing. (Lecture Notes in Computer Science, 11554). S. 389-398.
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    2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978437
    Andrés-Pérez, E.; González-Juarez, D.; Martin, M.; Iuliano, E.; Cinquegrana, D.; Carrier, G.; Peter, J.; Bailly, D.; Amoignon, O.; Dvorak, P.; Funes, D.; Weinerfelt, P.; Carro, L.; Salcedo, S.; Jin, Y.; Doherty, J.; Wang, H. (2019): Garteur AD/AG-52: Surrogate-Based Global Optimization Methods in Preliminary Aerodynamic Design. In: Esther Andrés-Pérez; Leo M. González; Jacques Periaux; Nicolas Gauger; Domenico Quagliarella; Kyriakos Giannakoglou (Hrsg.): Evolutionary and Deterministic Methods for Design Optimization and Control With Applications to Industrial and Societal Problems. Cham: Springer International Publishing. (Computational Methods in Applied Sciences, 49). S. 195-210.
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    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978448
    Yang, Z.; Jin, Y.; Hao, K. (2019): A Bio-Inspired Self-Learning Coevolutionary Dynamic Multiobjective Optimization Algorithm for Internet of Things Services IEEE Transactions on Evolutionary Computation,23:(4): 675-688.
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    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978451
    Tian, Y.; Cheng, R.; Zhang, X.; Su, Y.; Jin, Y. (2019): A Strengthened Dominance Relation Considering Convergence and Diversity for Evolutionary Many-Objective Optimization IEEE Transactions on Evolutionary Computation,23:(2): 331-345.
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    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978455
    Jin, Y.; Wang, H.; Chugh, T.; Guo, D.; Miettinen, K. (2019): Data-Driven Evolutionary Optimization: An Overview and Case Studies IEEE Transactions on Evolutionary Computation,23:(3): 442-458.
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    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978463
    Wang, H.; Jin, Y.; Sun, C.; Doherty, J. (2019): Offline Data-Driven Evolutionary Optimization Using Selective Surrogate Ensembles IEEE Transactions on Evolutionary Computation,23:(2): 203-216.
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    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978479
    Ye, X.; Li, J.; Liu, S.; Liang, J.; Jin, Y. (2019): A hybrid instance-intensive workflow scheduling method in private cloud environment Natural Computing,18:(4): 735-746.
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    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978482
    Wang, D. - J.; Liu, F.; Jin, Y. (2019): A proactive scheduling approach to steel rolling process with stochastic machine breakdown Natural Computing,18:(4): 679-694.
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    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978495
    Ding, J.; Yang, C.; Jin, Y.; Chai, T. (2019): Generalized Multitasking for Evolutionary Optimization of Expensive Problems IEEE Transactions on Evolutionary Computation,23:(1): 44-58.
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    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978503
    Guo, F.; Ren, L.; Jin, Y.; Ding, Y. (2019): A dynamic SVR–ARMA model with improved fruit fly algorithm for the nonlinear fiber stretching process Natural Computing,18:(4): 747-756.
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    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978449
    Pan, L.; He, C.; Tian, Y.; Wang, H.; Zhang, X.; Jin, Y. (2019): A Classification-Based Surrogate-Assisted Evolutionary Algorithm for Expensive Many-Objective Optimization IEEE Transactions on Evolutionary Computation,23:(1): 74-88.
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    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978461
    Tian, J.; Tan, Y.; Zeng, J.; Sun, C.; Jin, Y. (2019): Multiobjective Infill Criterion Driven Gaussian Process-Assisted Particle Swarm Optimization of High-Dimensional Expensive Problems IEEE Transactions on Evolutionary Computation,23:(3): 459-472.
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    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978432
    Jiao, R.; Zeng, S.; Li, C.; Jiang, Y.; Jin, Y. (2019): A complete expected improvement criterion for Gaussian process assisted highly constrained expensive optimization Information Sciences,471: 80-96.
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    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978435
    Ding, J.; Yang, C.; Xiao, Q.; Chai, T.; Jin, Y. (2018): Dynamic Evolutionary Multiobjective Optimization for Raw Ore Allocation in Mineral Processing IEEE Transactions on Emerging Topics in Computational Intelligence, 1-13.
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    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978438
    Wang, H.; Jin, Y.; Doherty, J. (2018): A Generic Test Suite for Evolutionary Multifidelity Optimization IEEE Transactions on Evolutionary Computation,22:(6): 836-850.
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    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978439
    Cui, S.; Wang, D.; Wang, Y.; Yu, P. - W.; Jin, Y. (2018): An improved support vector machine-based diabetic readmission prediction Computer Methods and Programs in Biomedicine,166: 123-135.
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    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978440
    Xie, Z.; Jin, Y. (2018): An Extended Reinforcement Learning Framework to Model Cognitive Development With Enactive Pattern Representation IEEE Transactions on Cognitive and Developmental Systems,10:(3): 738-750.
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    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978441
    Tian, Y.; Cheng, R.; Zhang, X.; Cheng, F.; Jin, Y. (2018): An Indicator-Based Multiobjective Evolutionary Algorithm With Reference Point Adaptation for Better Versatility IEEE Transactions on Evolutionary Computation,22:(4): 609-622.
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    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978442
    Yu, H.; Tan, Y.; Zeng, J.; Sun, C.; Jin, Y. (2018): Surrogate-assisted hierarchical particle swarm optimization Information Sciences,454-455: 59-72.
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    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978444
    Gu, S.; Cheng, R.; Jin, Y. (2018): Feature selection for high-dimensional classification using a competitive swarm optimizer Soft Computing,22:(3): 811-822.
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    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978447
    Jin, Y.; Miettinen, K.; Ishibuchi, H. (2018): Guest Editorial Evolutionary Many-Objective Optimization IEEE Transactions on Evolutionary Computation,22:(1): 1-2.
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    2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978450
    Yu, G.; Jin, Y.; Olhofer, M. (2018): A Method for a Posteriori Identification of Knee Points Based on Solution Density. In: 2018 IEEE Congress on Evolutionary Computation (CEC). IEEE. S. 1-8.
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    2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978467
    Sun, C.; Jin, Y.; Tan, Y.; Takadama, K. (2018): Semi-supervised learning assisted particle swarm optimization of computationally expensive problems. In: Hernan Aguirre (Hrsg.): Proceedings of the Genetic and Evolutionary Computation Conference. New York, NY: ACM. S. 45-52.
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    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978457
    Chen, Z.; Yeo, C. K.; Lee, B. S.; Lau, C. T.; Jin, Y. (2018): Evolutionary multi-objective optimization based ensemble autoencoders for image outlier detection Neurocomputing,309: 192-200.
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    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978452
    Zhang, X.; Zheng, X.; Cheng, R.; Qiu, J.; Jin, Y. (2018): A competitive mechanism based multi-objective particle swarm optimizer with fast convergence Information Sciences,427: 63-76.
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    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978453
    Sun, C.; Ding, J.; Zeng, J.; Jin, Y. (2018): A fitness approximation assisted competitive swarm optimizer for large scale expensive optimization problems Memetic Computing,10:(2): 123-134.
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    2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978458
    Wang, H.; Doherty, J.; Jin, Y. (2018): Hierarchical Surrogate-Assisted Evolutionary Multi-Scenario Airfoil Shape Optimization. In: 2018 IEEE Congress on Evolutionary Computation (CEC). IEEE. S. 1-8.
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    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978459
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    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978460
    Oh, H.; Shiraz, A. R.; Jin, Y. (2018): Morphogen diffusion algorithms for tracking and herding using a swarm of kilobots Soft Computing,22:(6): 1833-1844.
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    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978464
    Qian, C.; Yu, Y.; Tang, K.; Jin, Y.; Yao, X.; Zhou, Z. - H. (2018): On the Effectiveness of Sampling for Evolutionary Optimization in Noisy Environments Evolutionary Computation,26:(2): 237-267.
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    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978465
    Lu, J.; Ding, J.; Liu, C.; Jin, Y. (2018): Prediction of Physical Properties of Crude Oil Based on Ensemble Random Weights Neural Network IFAC-PapersOnLine,51:(18): 655-660.
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    2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978466
    Tian, Y.; Xiang, X.; Zhang, X.; Cheng, R.; Jin, Y. (2018): Sampling Reference Points on the Pareto Fronts of Benchmark Multi-Objective Optimization Problems. In: 2018 IEEE Congress on Evolutionary Computation (CEC). IEEE. S. 1-6.
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    2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978469
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    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978443
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    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978446
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    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978445
    Zhang, X.; Tian, Y.; Cheng, R.; Jin, Y. (2018): A Decision Variable Clustering-Based Evolutionary Algorithm for Large-Scale Many-Objective Optimization IEEE Transactions on Evolutionary Computation,22:(1): 97-112.
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    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978489
    Jin, Y.; Kollias, S. (2017): Conference Report on 2016 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2016) [Conference Reports] IEEE Computational Intelligence Magazine,12:(2): 18-19.
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    2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978454
    Tian, J.; Sun, C.; Zeng, J.; Yu, H.; Tan, Y.; Jin, Y. (2017): Comparisons of different kernels in Kriging-assisted evolutionary expensive optimization. In: 2017 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE. S. 1-8.
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    2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978456
    Thomas, S. A.; Jin, Y.; Bunch, J.; Gilmore, I. S. (2017): Enhancing classification of mass spectrometry imaging data with deep neural networks. In: 2017 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE. S. 1-8.
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    2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978462
    Carneiro, M. G.; Cupertino, T. H.; Cheng, R.; Jin, Y.; Zhao, L. (2017): Nature-Inspired Graph Optimization for Dimensionality Reduction. In: 2017 IEEE 29th International Conference on Tools with Artificial Intelligence (ICTAI). IEEE. S. 1113-1119.
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    2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978468
    Yang, C.; Ding, J.; Tan, K. C.; Jin, Y. (2017): Two-stage assortative mating for multi-objective multifactorial evolutionary optimization. In: 2017 IEEE 56th Annual Conference on Decision and Control (CDC). IEEE. S. 76-81.
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    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978470
    Chrol-Cannon, J.; Jin, Y.; Grüning, A. (2017): An efficient method for online detection of polychronous patterns in spiking neural networks Neurocomputing,267: 644-650.
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    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978471
    Cheng, R.; Jin, Y.; Olhofer, M.; sendhoff, B. (2017): Test Problems for Large-Scale Multiobjective and Many-Objective Optimization IEEE Transactions on Cybernetics,47:(12): 4108-4121.
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    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978472
    Liu, Y.; Gong, D.; Sun, J.; Jin, Y. (2017): A Many-Objective Evolutionary Algorithm Using A One-by-One Selection Strategy IEEE Transactions on Cybernetics,47:(9): 2689-2702.
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    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978474
    Gu, S.; Jin, Y. (2017): Multi-train: A semi-supervised heterogeneous ensemble classifier Neurocomputing,249: 202-211.
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    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978498
    Jin, Y.; Ding, J. (2017): Special issue on “Data-driven evolutionary optimization” Soft Computing,21:(20): 5867-5868.
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    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978499
    Allmendinger, R.; Emmerich, M. T. M.; Hakanen, J.; Jin, Y.; Rigoni, E. (2017): Surrogate-assisted multicriteria optimization: Complexities, prospective solutions, and business case Journal of Multi-Criteria Decision Analysis,24:(1-2): 5-24.
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    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978500
    Jin, Y.; Ding, J.; Ding, Y. (2017): Thematic issue on “bio-inspired learning for data analysis” Memetic Computing,9:(1): 1-2.
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    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978476
    Wang, H.; Jin, Y.; Yao, X. (2017): Diversity Assessment in Many-Objective Optimization IEEE Transactions on Cybernetics,47:(6): 1510-1522.
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    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978477
    Shirazi, A. R.; Jin, Y. (2017): A Strategy for Self-Organized Coordinated Motion of a Swarm of Minimalist Robots IEEE Transactions on Emerging Topics in Computational Intelligence,1:(5): 326-338.
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    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978480
    Huang, Y.; Ding, Y.; Hao, K.; Jin, Y. (2017): A multi-objective approach to robust optimization over time considering switching cost Information Sciences,394-395: 183-197.
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    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978481
    Wang, D. - J.; Liu, F.; Jin, Y. (2017): A multi-objective evolutionary algorithm guided by directed search for dynamic scheduling Computers & Operations Research,79: 279-290.
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    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978483
    He, C.; Tian, Y.; Jin, Y.; Zhang, X.; Pan, L. (2017): A radial space division based evolutionary algorithm for many-objective optimization Applied Soft Computing,61: 603-621.
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    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978484 OA
    Liu, J.; Chi, Y.; Zhu, C.; Jin, Y. (2017): A time series driven decomposed evolutionary optimization approach for reconstructing large-scale gene regulatory networks based on fuzzy cognitive maps BMC Bioinformatics,18:(1):241
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    2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978486
    Naik, N.; Jenkins, P.; Cooke, R.; Ball, D.; Foster, A.; Jin, Y. (2017): Augmented windows fuzzy firewall for preventing denial of service attack. In: 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE. S. 1-6.
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    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978487
    Oh, H.; Ramezan Shirazi, A.; Sun, C.; Jin, Y. (2017): Bio-inspired self-organising multi-robot pattern formation: A review Robotics and Autonomous Systems,91: 83-100.
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    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978488
    Albukhanajer, W. A.; Jin, Y.; Briffa, J. A. (2017): Classifier ensembles for image identification using multi-objective Pareto features Neurocomputing,238: 316-327.
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    2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978491
    Wang, H.; Jin, Y. (2017): Efficient nonlinear correlation detection for decomposed search in evolutionary multi-objective optimization. In: 2017 IEEE Congress on Evolutionary Computation (CEC). IEEE. S. 649-656.
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    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978493
    Yao, G.; Ding, Y.; Jin, Y.; Hao, K. (2017): Endocrine-based coevolutionary multi-swarm for multi-objective workflow scheduling in a cloud system Soft Computing,21:(15): 4309-4322.
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    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978494
    Cheng, R.; Rodemann, T.; Fischer, M.; Olhofer, M.; Jin, Y. (2017): 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): 97-111.
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    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978496
    Zhang, X.; Duan, F.; Zhang, L.; Cheng, F.; Jin, Y.; Tang, K. (2017): Pattern Recommendation in Task-oriented Applications: A Multi-Objective Perspective [Application Notes] IEEE Computational Intelligence Magazine,12:(3): 43-53.
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    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978497
    Tian, Y.; Cheng, R.; Zhang, X.; Jin, Y. (2017): PlatEMO: A MATLAB Platform for Evolutionary Multi-Objective Optimization [Educational Forum] IEEE Computational Intelligence Magazine,12:(4): 73-87.
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    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978501
    Ye, X.; Liu, S.; Yin, Y.; Jin, Y. (2017): User-oriented many-objective cloud workflow scheduling based on an improved knee point driven evolutionary algorithm Knowledge-Based Systems,135: 113-124.
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    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978478
    Chugh, T.; Chakraborti, N.; Sindhya, K.; Jin, Y. (2017): A data-driven surrogate-assisted evolutionary algorithm applied to a many-objective blast furnace optimization problem Materials and Manufacturing Processes,32:(10): 1172-1178.
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    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978475
    Sun, C.; Jin, Y.; Cheng, R.; Ding, J.; Zeng, J. (2017): Surrogate-Assisted Cooperative Swarm Optimization of High-Dimensional Expensive Problems IEEE Transactions on Evolutionary Computation,21:(4): 644-660.
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    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978473
    Wang, H.; Jin, Y.; Doherty, J. (2017): Committee-Based Active Learning for Surrogate-Assisted Particle Swarm Optimization of Expensive Problems IEEE Transactions on Cybernetics,47:(9): 2664-2677.
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    2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978485
    Yolcu, U.; Jin, Y.; Egrioglu, E. (2016): An ensemble of single multiplicative neuron models for probabilistic prediction. In: 2016 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE. S. 1-8.
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    2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978490
    Hakanen, J.; Chugh, T.; Sindhya, K.; Jin, Y.; Miettinen, K. (2016): Connections of reference vectors and different types of preference information in interactive multiobjective evolutionary algorithms. In: 2016 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE. S. 1-8.
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    2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978492
    Zhang, X.; Tian, Y.; Cheng, R.; Jin, Y. (2016): Empirical analysis of a tree-based efficient non-dominated sorting approach for many-objective optimization. In: 2016 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE. S. 1-8.
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    2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978502
    Cheng, R.; Jin, Y.; Olhofer, M.; Sendhoff, B. (2016): A Reference Vector Guided Evolutionary Algorithm for Many-Objective Optimization IEEE Transactions on Evolutionary Computation,20:(5): 773-791.
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    2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978504
    Peng, X.; Liu, K.; Jin, Y. (2016): A dynamic optimization approach to the design of cooperative co-evolutionary algorithms Knowledge-Based Systems,109: 174-186.
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    2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978505
    Tian, Y.; Zhang, X.; Cheng, R.; Jin, Y. (2016): A multi-objective evolutionary algorithm based on an enhanced inverted generational distance metric. In: 2016 IEEE Congress on Evolutionary Computation (CEC). IEEE. S. 5222-5229.
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    2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978506
    Zhang, X.; Tian, Y.; Jin, Y. (2016): Approximate non-dominated sorting for evolutionary many-objective optimization Information Sciences,369: 14-33.
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    2016 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978508
    Cheng, S.; Liu, B.; Shi, Y.; Jin, Y.; Li, B. (2016): Evolutionary Computation and Big Data: Key Challenges and Future Directions. In: Ying Tan; Yuhui Shi (Hrsg.): Data Mining and Big Data. Cham: Springer International Publishing. (Lecture Notes in Computer Science, ). S. 3-14.
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    2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978512
    Ding, Y.; Zhang, T.; Ren, L.; Jin, Y.; Hao, K.; Chen, L. (2016): Immune-inspired self-adaptive collaborative control allocation for multi-level stretching processes Information Sciences,342: 81-95.
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    2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978513
    He, H.; Tiwari, A.; Mehnen, J.; Watson, T.; Maple, C.; Jin, Y.; Gabrys, B. (2016): Incremental information gain analysis of input attribute impact on RBF-kernel SVM spam detection. In: 2016 IEEE Congress on Evolutionary Computation (CEC). IEEE. S. 1022-1029.
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    2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978514
    Yusoff, M. - H.; Chrol-Cannon, J.; Jin, Y. (2016): Modeling neural plasticity in echo state networks for classification and regression Information Sciences,364-365: 184-196.
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    2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978517 OA
    Cerri, R.; Barros, R. C.; P. L. F. de Carvalho, A. C.; Jin, Y. (2016): Reduction strategies for hierarchical multi-label classification in protein function prediction BMC Bioinformatics,17:(1):373
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    2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978518
    Jin, Y.; Yang, C.; Ding, J.; Chai, T. (2016): Reference point based prediction for evolutionary dynamic multiobjective optimization. In: 2016 IEEE Congress on Evolutionary Computation (CEC). IEEE. S. 3769-3776.
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    2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978519
    Rahat, A.; Everson, R.; Fieldsend, J.; Jin, Y.; Wang, H.; Neumann, F.; Sutton, A. M. (2016): Surrogate-Assisted Evolutionary Optimisation (SAEOpt'16) Chairs' Welcome & Organization. In: Tobias Friedrich (Hrsg.): Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion. New York, NY, USA: ACM. S. 1265-1266.
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    2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978520
    He, H.; Maple, C.; Watson, T.; Tiwari, A.; Mehnen, J.; Jin, Y.; Gabrys, B. (2016): The security challenges in the IoT enabled cyber-physical systems and opportunities for evolutionary computing & other computational intelligence. In: 2016 IEEE Congress on Evolutionary Computation (CEC). IEEE. S. 1015-1021.
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    2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978521
    Brown, C.; Jin, Y.; Leach, M.; Hodgson, M. (2016): $$\mu $$ μ JADE: adaptive differential evolution with a small population Soft Computing,20:(10): 4111-4120.
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    2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978515
    Carneiro, M. G.; Zhao, L.; Cheng, R.; Jin, Y. (2016): Network structural optimization based on swarm intelligence for highlevel classification. In: 2016 International Joint Conference on Neural Networks (IJCNN). IEEE. S. 3737-3744.
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    2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978509
    Han, Y.; Gong, D.; Jin, Y.; Pan, Q. -ke (2016): Evolutionary multi-objective blocking lot-streaming flow shop scheduling with interval processing time Applied Soft Computing,42: 229-245.
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    2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978507
    Wang, H.; Jin, Y.; Jansen, J. O. (2016): Data-Driven Surrogate-Assisted Multiobjective Evolutionary Optimization of a Trauma System IEEE Transactions on Evolutionary Computation,20:(6): 939-952.
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    2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978510
    Sun, C.; Jin, Y.; Ding, J.; Zeng, J.; Neumann, F.; Sutton, A. M. (2016): Fitness Estimation Strategy Assisted Competitive Swarm Optimizer for High Dimensional Expensive Problems. In: Tobias Friedrich; Frank Neumann; Andrew M. Sutton (Hrsg.): Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion. New York, NY, USA: ACM. S. 1277-1278.
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    2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978526
    Cheng, R.; Jin, Y.; Narukawa, K.; Sendhoff, B. (2015): A Multiobjective Evolutionary Algorithm Using Gaussian Process-Based Inverse Modeling IEEE Transactions on Evolutionary Computation,19:(6): 838-856.
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    2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978511
    Wu, I. - C.; Lee, C. - S.; Hsu, S. - C.; Loia, V.; Jin, Y.; Ting, C. - K.; Yen, S. - J.; Wu, Y. - G.; Horng, M. - F.; Chen, C. - L. (2015): General chairs and program chairs message. In: 2015 Conference on Technologies and Applications of Artificial Intelligence (TAAI). IEEE. S. 13-14.
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    2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978522
    Zhang, T.; Jin, Y.; Ding, Y.; Hao, K. (2015): A cytokine network-inspired cooperative control system for multi-stage stretching processes in fiber production Soft Computing,19:(6): 1523-1540.
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    2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978523
    Wu, Y.; Jin, Y.; Liu, X. (2015): A directed search strategy for evolutionary dynamic multiobjective optimization Soft Computing,19:(11): 3221-3235.
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    2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978525
    Wang, D. - J.; Liu, F.; Wang, Y. - Z.; Jin, Y. (2015): A knowledge-based evolutionary proactive scheduling approach in the presence of machine breakdown and deterioration effect Knowledge-Based Systems,90: 70-80.
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    2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978527
    Cheng, R.; Jin, Y. (2015): A social learning particle swarm optimization algorithm for scalable optimization Information Sciences,291: 43-60.
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    2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978528
    Sun, C.; Jin, Y.; Zeng, J.; Yu, Y. (2015): A two-layer surrogate-assisted particle swarm optimization algorithm Soft Computing,19:(6): 1461-1475.
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    2015 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978529
    Cheng, R.; Jin, Y.; Narukawa, K. (2015): Adaptive Reference Vector Generation for Inverse Model Based Evolutionary Multiobjective Optimization with Degenerate and Disconnected Pareto Fronts. In: António Gaspar-Cunha; Carlos Henggeler Antunes; Carlos Coello Coello (Hrsg.): Evolutionary Multi-Criterion Optimization. 8th International Conference, EMO 2015, Guimarães, Portugal, March 29 --April 1, 2015. Proceedings, Part I. Cham: Springer International Publishing. (Lecture Notes in Computer Science, 9018). S. 127-140.
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    2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978530
    Jin, Y.; Ding, Y.; Hao, K.; Jin, Y. (2015): An endocrine-based intelligent distributed cooperative algorithm for target tracking in wireless sensor networks Soft Computing,19:(5): 1427-1441.
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    2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978532
    Rahman, T.; Mahapatra, M.; Laing, E.; Jin, Y. (2015): Evolutionary non-linear modelling for selecting vaccines against antigenically variable viruses Bioinformatics,31:(6): 834-840.
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    2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978536
    Chrol-Cannon, J.; Jin, Y. (2015): Learning structure of sensory inputs with synaptic plasticity leads to interference Frontiers in Computational Neuroscience,9
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    2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978537
    Gu, S.; Cheng, R.; Jin, Y. (2015): Multi-objective ensemble generation Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery,5:(5): 234-245.
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    2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978538
    Huang, Y.; Jin, Y.; Ding, Y. (2015): New performance indicators for robust optimization over time. In: 2015 IEEE Congress on Evolutionary Computation (CEC). IEEE. S. 1380-1387.
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    2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978540
    Cheng, R.; Olhofer, M.; Jin, Y. (2015): Reference vector based a posteriori preference articulation for evolutionary multiobjective optimization. In: 2015 IEEE Congress on Evolutionary Computation (CEC). IEEE. S. 939-946.
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    2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978541
    Yang, B.; Ding, Y.; Jin, Y.; Hao, K. (2015): Self-organized swarm robot for target search and trapping inspired by bacterial chemotaxis Robotics and Autonomous Systems,72: 83-92.
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    2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978542
    Jin, Y. (2015): Special issue on UKCI 2013 Soft Computing,19:(6): 1443-1444.
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    2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978543
    Albukhanajer, W. A.; Jin, Y.; Briffa, J. A. (2015): Trade-off between computational complexity and accuracy in evolutionary image feature extraction. In: 2015 IEEE Congress on Evolutionary Computation (CEC). IEEE. S. 2412-2419.
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    2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978524
    Zhang, X.; Tian, Y.; Jin, Y. (2015): A Knee Point-Driven Evolutionary Algorithm for Many-Objective Optimization IEEE Transactions on Evolutionary Computation,19:(6): 761-776.
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    2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978548
    Xue, S.; Sun, C.; Zeng, J.; Jin, Y.; Cheng, R. (2014): Effect of Communication Modes to Swarm Robotic Search The Open Electrical & Electronic Engineering Journal,8:(1): 240-244.
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    2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978533
    Gu, S.; Jin, Y. (2014): Generating diverse and accurate classifier ensembles using multi-objective optimization. In: 2014 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making (MCDM). IEEE. S. 9-15.
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    2014 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978544
    Oh, H.; Jin, Y. (2014): Adaptive Swarm Robot Region Coverage Using Gene Regulatory Networks. In: Michael Mistry; Aleš Leonardis; Mark Witkowski; Chris Melhuish (Hrsg.): Advances in Autonomous Robotics Systems. Cham: Springer International Publishing. (Lecture Notes in Computer Science, ). S. 197-208.
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    2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978545
    Zhou, Z. - H.; Chawla, N. V.; Jin, Y.; Williams, G. J. (2014): Big Data Opportunities and Challenges: Discussions from Data Analytics Perspectives [Discussion Forum] IEEE Computational Intelligence Magazine,9:(4): 62-74.
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    2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978546
    Chrol-Cannon, J.; Jin, Y. (2014): Computational modeling of neural plasticity for self-organization of neural networks Biosystems,125: 43-54.
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    2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978547
    Cheng, R.; Jin, Y. (2014): Demonstrator selection in a social learning particle swarm optimizer. In: 2014 IEEE Congress on Evolutionary Computation (CEC). IEEE. S. 3103-3110.
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    2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978549
    Smith, C.; Jin, Y. (2014): Evolutionary multi-objective generation of recurrent neural network ensembles for time series prediction Neurocomputing,143: 302-311.
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    2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978551
    Jin, Y. (2014): IEEE CIS VP-Technical Activities Vision Statement [Society Briefs] IEEE Computational Intelligence Magazine,9:(1): 9-10.
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    2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978550
    Oh, H.; Jin, Y. (2014): Evolving hierarchical gene regulatory networks for morphogenetic pattern formation of swarm robots. In: 2014 IEEE Congress on Evolutionary Computation (CEC). IEEE. S. 776-783.
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    2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978552
    Yusoff, M. - H.; Jin, Y. (2014): Modeling neural plasticity in echo state networks for time series prediction. In: 2014 14th UK Workshop on Computational Intelligence (UKCI). IEEE. S. 1-7.
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    2014 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978553
    Ramezan Shirazi, A.; Oh, H.; Jin, Y. (2014): Morphogenetic Self-Organization of Collective Movement without Directional Sensing. In: Michael Mistry; Aleš Leonardis; Mark Witkowski; Chris Melhuish (Hrsg.): Advances in Autonomous Robotics Systems. Cham: Springer International Publishing. (Lecture Notes in Computer Science, ). S. 139-150.
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    2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978554
    Smith, C.; Doherty, J.; Jin, Y. (2014): Multi-objective evolutionary recurrent neural network ensemble for prediction of computational fluid dynamic simulations. In: 2014 IEEE Congress on Evolutionary Computation (CEC). IEEE. S. 2609-2616.
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    2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978555
    Albukhanajer, W. A.; Jin, Y.; Briffa, J. A. (2014): Neural network ensembles for image identification using Pareto-optimal features. In: 2014 IEEE Congress on Evolutionary Computation (CEC). IEEE. S. 89-96.
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    2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978556 OA
    Chrol-Cannon, J.; Jin, Y. (2014): On the Correlation between Reservoir Metrics and Performance for Time Series Classification under the Influence of Synaptic Plasticity PLoS ONE,9:(7):e101792
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    2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978557
    Thomas, S. A.; Jin, Y. (2014): Reconstructing biological gene regulatory networks: where optimization meets big data Evolutionary Intelligence,7:(1): 29-47.
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    2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978558
    Liu, T.; Sun, C.; Zeng, J.; Xue, S.; Jin, Y. (2014): Similarity- and reliability-assisted fitness estimation for particle swarm optimization of expensive problems. In: 2014 IEEE Congress on Evolutionary Computation (CEC). IEEE. S. 640-646.
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    2013 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978559
    Albukhanajer, W. A.; Jin, Y.; Briffa, J. A.; Williams, G. (2013): A Comparative Study of Multi-objective Evolutionary Trace Transform Methods for Robust Feature Extraction. In: Robin C. Purshouse; Peter J. Fleming; Carlos M. Fonseca; Salvatore Greco; Jane Shaw (Hrsg.): Evolutionary Multi-Criterion Optimization. Berlin, Heidelberg: Springer Berlin Heidelberg. (Lecture Notes in Computer Science, ). S. 573-586.
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    2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978560
    Jin, Y.; Tang, K.; Yu, X.; Sendhoff, B.; Yao, X. (2013): A framework for finding robust optimal solutions over time Memetic Computing,5:(1): 3-18.
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    2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978561
    Meng, Y.; Guo, H.; Jin, Y. (2013): A morphogenetic approach to flexible and robust shape formation for swarm robotic systems Robotics and Autonomous Systems,61:(1): 25-38.
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    2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978562
    Sun, C.; Zeng, J.; Pan, J.; Xue, S.; Jin, Y. (2013): A new fitness estimation strategy for particle swarm optimization Information Sciences,221: 355-370.
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    2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978563
    Chen, J.; Ding, Y.; Jin, Y.; Hao, K. (2013): A synergetic immune clonal selection algorithm based multi-objective optimization method for carbon fiber drawing process Fibers and Polymers,14:(10): 1722-1730.
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    2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978564
    Lu, J.; Li, B.; Jin, Y.; Alba, E. (2013): An evolution strategy assisted by an ensemble of local Gaussian process models. In: Christian Blum (Hrsg.): Proceedings of the 15th annual conference on Genetic and evolutionary computation. New York, NY, USA: ACM. S. 447-454.
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    2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978565
    Jia, G.; Wang, Y.; Cai, Z.; Jin, Y. (2013): An improved (μ+λ)-constrained differential evolution for constrained optimization Information Sciences,222: 302-322.
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    2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978566
    Le, M. N.; Ong, Y. S.; Menzel, S.; Jin, Y.; Sendhoff, B. (2013): Evolution by Adapting Surrogates Evolutionary Computation,21:(2): 313-340.
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    2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978567
    Chai, T.; Jin, Y.; Sendhoff, B. (2013): Evolutionary Complex Engineering Optimization: Opportunities and Challenges [Guest Editorial] IEEE Computational Intelligence Magazine,8:(3): 12-15.
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    2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978568
    Xiao, A.; Wang, B.; Jin, Y. (2013): Evolutionary truss layout optimization using the vectorized structure approach. In: 2013 IEEE Congress on Evolutionary Computation. IEEE. S. 2879-2886.
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    2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978569
    THOMAS, S. P. E. N. C. E. R. A. N. G. U. S.; Jin, Y. (2013): EVOLVING CONNECTIVITY BETWEEN GENETIC OSCILLATORS AND SWITCHES USING EVOLUTIONARY ALGORITHMS Journal of Bioinformatics and Computational Biology,11:(03):1341001
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    2013 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978571
    Zhuang, L.; Tang, K.; Jin, Y. (2013): Metamodel Assisted Mixed-Integer Evolution Strategies Based on Kendall Rank Correlation Coefficient. In: Hujun Yin; Ke Tang; Yang Gao; Frank Klawonn; Minho Lee; Thomas Weise; Bin Li; Xin Yao (Hrsg.): Intelligent Data Engineering and Automated Learning – IDEAL 2013. Berlin, Heidelberg: Springer Berlin Heidelberg. (Lecture Notes in Computer Science, ). S. 366-375.
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    2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978572
    Thomas, S. A.; Jin, Y.; Laing, E.; Smith, C. P. (2013): Reconstructing regulatory networks in Streptomyces using evolutionary algorithms. In: 2013 13th UK Workshop on Computational Intelligence (UKCI). IEEE. S. 24-30.
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    2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978573
    Smith, C.; Doherty, J.; Jin, Y. (2013): Recurrent neural network ensembles for convergence prediction in surrogate-assisted evolutionary optimization. In: 2013 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments (CIDUE). IEEE. S. 9-16.
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    2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978575
    Cheng, R.; Jin, Y. (2013): Simulating swarm behaviuors for optimisation by learning from neighbours. In: 2013 13th UK Workshop on Computational Intelligence (UKCI). IEEE. S. 82-87.
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    2013 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978576
    Thomas, S. A.; Jin, Y. (2013): Single and Multi-objective in Silico Evolution of Tunable Genetic Oscillators. In: Robin C. Purshouse; Peter J. Fleming; Carlos M. Fonseca; Salvatore Greco; Jane Shaw (Hrsg.): Evolutionary Multi-Criterion Optimization. Berlin, Heidelberg: Springer Berlin Heidelberg. (Lecture Notes in Computer Science, ). S. 696-709.
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    2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978574
    Sun, C.; Zeng, J.; Pan, J.; Jin, Y. (2013): Similarity-based evolution control for fitness estimation in particle swarm optimization. In: Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments (CIDUE). IEEE. S. 1-8.
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    2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978577
    Jin, Y. (2012): 2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (IEEE CIBCB 2012) [Conference Reports] IEEE Computational Intelligence Magazine,7:(4): 17-17.
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    2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978578
    Yin, J.; Meng, Y.; Jin, Y. (2012): A Developmental Approach to Structural Self-Organization in Reservoir Computing IEEE Transactions on Autonomous Mental Development,4:(4): 273-289.
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    2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978579
    Guo, H.; Jin, Y.; Meng, Y. (2012): A morphogenetic framework for self-organized multirobot pattern formation and boundary coverage ACM Transactions on Autonomous and Adaptive Systems,7:(1): 1-23.
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    2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978580
    Le, M. N.; Ong, Y. S.; Jin, Y.; Sendhoff, B. (2012): A Unified Framework for Symbiosis of Evolutionary Mechanisms with Application to Water Clusters Potential Model Design IEEE Computational Intelligence Magazine,7:(1): 20-35.
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    2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978581
    Bush, D.; Jin, Y. (2012): Calcium control of triphasic hippocampal STDP Journal of Computational Neuroscience,33:(3): 495-514.
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    2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978582
    Thomas, S. A.; Jin, Y. (2012): Combining genetic oscillators and switches using evolutionary algorithms. In: 2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB). IEEE. S. 28-34.
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    2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978583
    Doncieux, S.; Jin, Y.; Mouret, J. - B.; Moore, J. H. (2012): Evo-devo-robo workshop program. In: Terence Soule (Hrsg.): Proceedings of the 14th annual conference companion on Genetic and evolutionary computation. New York, NY, USA: ACM. S. 355-356.
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    2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978584
    Schramm, L.; Jin, Y.; Sendhoff, B. (2012): Evolution and Analysis of Genetic Networks for Stable Cellular Growth and Regeneration Artificial Life,18:(4): 425-444.
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    2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978585
    Albukhanajer, W. A.; Jin, Y.; Briffa, J. A.; Williams, G. (2012): Evolutionary multi-objective optimization of trace transform for invariant feature extraction. In: 2012 IEEE Congress on Evolutionary Computation. IEEE. S. 1-8.
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    2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978586
    Gu, S.; Jin, Y. (2012): Heterogeneous classifier ensembles for EEG-based motor imaginary detection. In: 2012 12th UK Workshop on Computational Intelligence (UKCI). IEEE. S. 1-8.
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    2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978587
    Schramm, L.; Jin, Y.; Sendhoff, B. (2012): Quantitative analysis of redundancy in evolution of developmental systems. In: 2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB). IEEE. S. 61-68.
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    2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978588
    Chrol-Cannon, J.; Gruning, A.; Jin, Y. (2012): The emergence of polychronous groups under varying input patterns, plasticity rules and network connectivities. In: The 2012 International Joint Conference on Neural Networks (IJCNN). IEEE. S. 1-6.
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  • [71]
    2011 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978589
    Meng, Y.; Guo, H.; Jin, Y. (2011): A Multi-cellular Based Self-organizing Approach for Distributed Multi-Robot Systems. In: Stéphane Doncieux; Nicolas Bredèche; Jean-Baptiste Mouret (Hrsg.): New Horizons in Evolutionary Robotics. Berlin, Heidelberg: Springer Berlin Heidelberg. (Studies in Computational Intelligence, ). S. 123-137.
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  • [70]
    2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978590
    Meng, Y.; Zhang, Y.; Jin, Y. (2011): Autonomous Self-Reconfiguration of Modular Robots by Evolving a Hierarchical Mechanochemical Model IEEE Computational Intelligence Magazine,6:(1): 43-54.
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  • [69]
    2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978591
    Meng, Y.; Zhang, Y.; Sampath, A.; Jin, Y.; Sendhoff, B. (2011): Cross-Ball: A new morphogenetic self-reconfigurable modular robot. In: 2011 IEEE International Conference on Robotics and Automation. IEEE. S. 267-272.
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  • [68]
    2011 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978592
    Schramm, L.; Jin, Y.; Sendhoff, B. (2011): Emerged Coupling of Motor Control and Morphological Development in Evolution of Multi-cellular Animats. In: George Kampis; István Karsai; Eörs Szathmáry (Hrsg.): Advances in Artificial Life. Darwin Meets von Neumann. Berlin, Heidelberg: Springer Berlin Heidelberg. (Lecture Notes in Computer Science, ). S. 27-34.
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  • [67]
    2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978594
    Jin, Y.; Meng, Y.; Weng, J.; Kasabov, N. (2011): Guest Editorial Special Issue on Computational Modeling of Neural and Brain Development IEEE Transactions on Autonomous Mental Development,3:(4): 273-275.
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  • [66]
    2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978593
    Jin, Y.; Meng, Y. (2011): Emergence of robust regulatory motifs from in silico evolution of sustained oscillation Biosystems,103:(1): 38-44.
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  • [65]
    2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978595
    Tyrrell, A. M.; Jin, Y. (2011): Guest Editorial: Special Issue on Evolving Developmental Systems IEEE Transactions on Evolutionary Computation,15:(3): 285-286.
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  • [64]
    2011 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978596
    Jin, Y.; Meng, Y. (2011): Morphogenetic Robotics - An Evolutionary Developmental Approach to Morphological and Neural Self-Organization of Robotic Systems. In: Yan Meng; Yaochu Jin (Hrsg.): Bio-Inspired Self-Organizing Robotic Systems. Berlin, Heidelberg: Springer Berlin Heidelberg. (Studies in Computational Intelligence, ). S. 3-23.
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  • [63]
    2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978597
    Jin, Y.; Meng, Y. (2011): Morphogenetic Robotics: An Emerging New Field in Developmental Robotics IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews),41:(2): 145-160.
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  • [62]
    2011 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978598
    Meng, Y.; Jin, Y. (2011): Morphogenetic Self-Reconfiguration of Modular Robots. In: Yan Meng; Yaochu Jin (Hrsg.): Bio-Inspired Self-Organizing Robotic Systems. Berlin, Heidelberg: Springer Berlin Heidelberg. (Studies in Computational Intelligence, ). S. 143-171.
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  • [61]
    2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978599
    Liu, M.; Zhang, S.; Jin, Y. (2011): Multi-sensor optimal fusion filters for delayed nonlinear intelligent systems based on a unified model Neural Networks,24:(3): 280-290.
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  • [60]
    2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978600
    Zheng, Y.; Meng, Y.; Jin, Y. (2011): Object recognition using a bio-inspired neuron model with bottom-up and top-down pathways Neurocomputing,74:(17): 3158-3169.
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  • [59]
    2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978601
    Schramm, L.; Jin, Y.; Sendhoff, B. (2011): Redundancy creates opportunity in developmental representations. In: 2011 IEEE Symposium on Artificial Life (ALIFE). IEEE. S. 203-210.
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  • [58]
    2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978602
    Gehrmann, E.; Gläßer, C.; Jin, Y.; Sendhoff, B.; Drossel, B.; Hamacher, K. (2011): Robustness of glycolysis in yeast to internal and external noise Physical Review E,84:(2):021913
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  • [57]
    2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978603
    Jin, Y. (2011): Surrogate-assisted evolutionary computation: Recent advances and future challenges Swarm and Evolutionary Computation,1:(2): 61-70.
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  • [56]
    2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978604
    Guo, H.; Meng, Y.; Jin, Y. (2011): Swarm robot pattern formation using a morphogenetic multi-cellular based self-organizing algorithm. In: 2011 IEEE International Conference on Robotics and Automation. IEEE. S. 3205-3210.
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  • [55]
    2011 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978605
    Jones, B.; Jin, Y.; Sendhoff, B.; Yao, X. (2011): The Effect of Proprioceptive Feedback on the Distribution of Sensory Information in a Model of an Undulatory Organism. In: George Kampis; István Karsai; Eörs Szathmáry (Hrsg.): Advances in Artificial Life. Darwin Meets von Neumann. Berlin, Heidelberg: Springer Berlin Heidelberg. (Lecture Notes in Computer Science, ). S. 18-26.
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  • [54]
    2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978606
    Jin, Y.; Trommler, J. (2010): A fitness-independent evolvability measure for evolutionary developmental systems. In: 2010 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology. IEEE. S. 1-8.
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  • [53]
    2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978607
    Jin, Y.; Meng, Y.; Guo, H. (2010): A morphogenetic self-organization algorithm for swarm robotic systems using relative position information. In: 2010 UK Workshop on Computational Intelligence (UKCI). IEEE. S. 1-6.
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  • [52]
    2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978608
    Guo, H.; Meng, Y.; Jin, Y. (2010): Analysis of local communication load in shape formation of a distributed morphogenetic swarm robotic system. In: IEEE Congress on Evolutionary Computation. IEEE. S. 1-8.
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  • [51]
    2010 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978609
    Jones, B.; Jin, Y.; Sendhoff, B.; Yao, X. (2010): Emergent Distribution of Computational Workload in the Evolution of an Undulatory Animat. In: Stéphane Doncieux; Benoît Girard; Agnès Guillot; John Hallam; Jean-Arcady Meyer; Jean-Baptiste Mouret (Hrsg.): From Animals to Animats 11. Berlin, Heidelberg: Springer Berlin Heidelberg. (Lecture Notes in Computer Science, ). S. 587-596.
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  • [50]
    2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978610
    Steiner, T.; Jin, Y.; Sendhoff, B.; Pelikan, M.; Branke, J. (2010): Evolving heterochrony for cellular differentiation using vector field embryogeny. In: Proceedings of the 12th annual conference on Genetic and evolutionary computation. New York, NY, USA: ACM. S. 571-578.
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  • [49]
    2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978611
    Zheng, Y.; Meng, Y.; Jin, Y. (2010): Fusing bottom-up and top-down pathways in neural networks for visual object recognition. In: The 2010 International Joint Conference on Neural Networks (IJCNN). IEEE. S. 1-8.
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  • [48]
    2010 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978612
    Jin, Y.; Meng, Y. (2010): Special Issue on Evolutionary and Developmental Robotics [Guest Editorial IEEE Computational Intelligence Magazine,5:(3): 9-9.
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  • [47]
    2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978613
    Meng, Y.; Jin, Y.; Yin, J.; Conforth, M. (2010): Human activity detection using spiking neural networks regulated by a gene regulatory network. In: The 2010 International Joint Conference on Neural Networks (IJCNN). IEEE. S. 1-6.
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  • [46]
    2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978615
    Jin, Y.; Oh, S.; Jeon, M. (2010): Incremental approximation of nonlinear constraint functions for evolutionary constrained optimization. In: IEEE Congress on Evolutionary Computation. IEEE. S. 1-8.
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  • [45]
    2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978617
    Yu, X.; Jin, Y.; Tang, K.; Yao, X. (2010): Robust optimization over time — A new perspective on dynamic optimization problems. In: IEEE Congress on Evolutionary Computation. IEEE. S. 1-6.
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  • [44]
    2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978618
    Guo, H.; Meng, Y.; Jin, Y. (2009): A cellular mechanism for multi-robot construction via evolutionary multi-objective optimization of a gene regulatory network Biosystems,98:(3): 193-203.
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  • [43]
    2009 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978619
    Jin, Y.; Schramm, L.; Sendhoff, B. (2009): A Gene Regulatory Model for the Development of Primitive Nervous Systems. In: Mario Köppen; Nikola Kasabov; George Coghill (Hrsg.): Advances in Neuro-Information Processing. 15th International Conference, ICONIP 2008, Auckland, New Zealand, November 25-28, 2008, Revised Selected Papers, Part I. Berlin, Heidelberg: Springer Berlin Heidelberg. (Lecture Notes in Computer Science, ). S. 48-55.
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  • [42]
    2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978620
    Jin, Y.; Sendhoff, B. (2009): A systems approach to evolutionary multiobjective structural optimization and beyond IEEE Computational Intelligence Magazine,4:(3): 62-76.
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  • [41]
    2009 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978621
    Okabe, T.; Jin, Y.; Sendhoff, B. (2009): Combination of Genetic Algorithms and Evolution Strategies with Self-adaptive Switching. In: Chi-Keong Goh; Yew-Soon Ong; Kay Chen Tan (Hrsg.): Multi-Objective Memetic Algorithms. Berlin, Heidelberg: Springer Berlin Heidelberg. (Studies in Computational Intelligence, ). S. 281-307.
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  • [40]
    2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978622
    Jin, Y.; Sendhoff, B. (2009): 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): 373-373.
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  • [39]
    2009 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978623
    Jones, B.; Jin, Y.; Yao, X.; Sendhoff, B. (2009): Evolution of Neural Organization in a Hydra-Like Animat. In: Mario Köppen; Nikola Kasabov; George Coghill (Hrsg.): Advances in Neuro-Information Processing. 15th International Conference, ICONIP 2008, Auckland, New Zealand, November 25-28, 2008, Revised Selected Papers, Part I. Berlin, Heidelberg: Springer Berlin Heidelberg. (Lecture Notes in Computer Science, ). S. 216-223.
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  • [38]
    2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978624
    Jin, Y.; Gruna, R.; Paenke, I.; Sendhoff, B. (2009): Evolutionary multi-objective optimization of robustness and innovation in redundant genetic representations. In: 2009 IEEE Symposium on Computational Intelligence in Milti-Criteria Decision-Making. IEEE. S. 38-45.
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  • [37]
    2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978625
    Jin, Y.; Hallinan, J. (2009): Evolving gene regulatory networks Biosystems,98:(3): vi-vii.
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  • [36]
    2009 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978626
    Jin, Y.; Sendhoff, B. (2009): Fuzzy Logic in Evolving in silico Oscillatory Dynamics for Gene Regulatory Networks. In: Yaochu Jin; Lipo Wang (Hrsg.): Fuzzy Systems in Bioinformatics and Computational Biology. Berlin, Heidelberg: Springer Berlin Heidelberg. (Studies in Fuzziness and Soft Computing, ). S. 315-327.
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  • [35]
    2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978627
    Steiner, T.; Trommler, J.; Brenn, M.; Jin, Y.; Sendhoff, B. (2009): Global shape with morphogen gradients and motile polarized cells. In: 2009 IEEE Congress on Evolutionary Computation. IEEE. S. 2225-2232.
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  • [34]
    2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978628
    Jin, Y.; Meng, Y.; Sendhoff, B. (2009): Influence of regulation logic on the easiness of evolving sustained oscillation for gene regulatory networks. In: 2009 IEEE Symposium on Artificial Life. IEEE. S. 61-68.
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  • [33]
    2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978629
    Le, M. N.; Ong, Y. - S.; Jin, Y.; Sendhoff, B. (2009): Lamarckian memetic algorithms: local optimum and connectivity structure analysis Memetic Computing,1:(3): 175-190.
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  • [32]
    2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978630
    Meeter, M.; Veldkamp, R.; Jin, Y. (2009): Multiple memory stores and operant conditioning: A rationale for memory’s complexity Brain and Cognition,69:(1): 200-208.
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  • [31]
    2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978631
    Jin, Y.; Gruna, R.; Sendhoff, B. (2009): Pareto analysis of evolutionary and learning systems Frontiers of Computer Science in China,3:(1): 4-17.
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  • [30]
    2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978632
    Jin, Y.; Guo, H.; Meng, Y. (2009): Robustness Analysis and Failure Recovery of a Bio-Inspired Self-Organizing Multi-Robot System. In: 2009 Third IEEE International Conference on Self-Adaptive and Self-Organizing Systems. IEEE. S. 154-164.
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  • [29]
    2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978633
    Guo, H.; Meng, Y.; Jin, Y. (2009): Self-adaptive multi-robot construction using gene regulatory networks. In: 2009 IEEE Symposium on Artificial Life. IEEE. S. 53-60.
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  • [28]
    2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978634 OA
    Steiner, T.; Jin, Y.; Sendhoff, B. (2009): Vector Field Embryogeny PLoS ONE,4:(12):e8177
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  • [27]
    2008 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978636
    Zhou, A.; Zhang, Q.; Jin, Y.; Sendhoff, B. (2008): Combination of EDA and DE for continuous biobjective optimization. In: 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence). IEEE. S. 1447-1454.
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  • [26]
    2008 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978637
    Zhang, Q.; Zhou, A.; Jin, Y. (2008): Errata to “RM-MEDA: A Regularity Model-Based Multiobjective Estimation of Distribution Algorithm” [Feb 08 41-63] IEEE Transactions on Evolutionary Computation,12:(3): 392-392.
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  • [25]
    2008 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978638
    Lim, D.; Ong, Y. - S.; Jin, Y.; Sendhoff, B. (2008): Evolutionary Optimization with Dynamic Fidelity Computational Models. In: De-Shuang Huang; Donald C. Wunsch; Daniel S. Levine; Kang-Hyun Jo (Hrsg.): 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. Berlin, Heidelberg: Springer Berlin Heidelberg. (Lecture Notes in Computer Science, ). S. 235-242.
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  • [24]
    2008 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978639
    Jin, Y.; Sendhoff, B.; Körner, E. (2008): Rule Extraction from Compact Pareto-optimal Neural Networks. In: Ashish Ghosh; Satchidananda Dehuri; Susmita Ghosh (Hrsg.): Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases. Berlin, Heidelberg: Springer Berlin Heidelberg. (Studies in Computational Intelligence, ). S. 71-90.
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  • [23]
    2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978640
    Lim, D.; Ong, Y. - S.; Jin, Y.; Sendhoff, B.; Lipson, H. (2007): A study on metamodeling techniques, ensembles, and multi-surrogates in evolutionary computation. In: Proceedings of the 9th annual conference on Genetic and evolutionary computation. New York, NY, USA: ACM. S. 1288-1295.
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  • [22]
    2007 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978641
    Lim, D.; Ong, Y. - S.; Jin, Y.; Sendhoff, B.; Lee, B. - S. (2007): Efficient Hierarchical Parallel Genetic Algorithms using Grid computing Future Generation Computer Systems,23:(4): 658-670.
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  • [21]
    2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978642
    Steiner, T.; Schramm, L.; Jin, Y.; Sendhoff, B. (2007): Emergence of feedback in artificial gene regulatory networks. In: 2007 IEEE Congress on Evolutionary Computation. IEEE. S. 867-874.
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  • [20]
    2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978643
    Zhou, A.; Zhang, Q.; Jin, Y.; Sendhoff, B.; Tsang, E.; Lipson, H. (2007): Global multiobjective optimization via estimation of distribution algorithm with biased initialization and crossover. In: Proceedings of the 9th annual conference on Genetic and evolutionary computation. New York, NY, USA: ACM. S. 617-623.
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  • [19]
    2007 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978644
    Gräning, L.; Jin, Y.; Sendhoff, B. (2007): Individual-based Management of Meta-models for Evolutionary Optimization with Application to Three-Dimensional Blade Optimization. In: Shengxiang Yang; Yew-Soon Ong; Yaochu Jin (Hrsg.): Evolutionary Computation in Dynamic and Uncertain Environments. Berlin, Heidelberg: Springer Berlin Heidelberg. (Studies in Computational Intelligence, ). S. 225-250.
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  • [18]
    2007 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978645
    Lim, D.; Ong, Y. - S.; Lim, M. - H.; Jin, Y. (2007): Single/Multi-objective Inverse Robust Evolutionary Design Methodology in the Presence of Uncertainty. In: Shengxiang Yang; Yew-Soon Ong; Yaochu Jin (Hrsg.): Evolutionary Computation in Dynamic and Uncertain Environments. Berlin, Heidelberg: Springer Berlin Heidelberg. (Studies in Computational Intelligence, ). S. 437-456.
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  • [17]
    2006 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978646
    Wang, H.; Kwong, S.; Jin, Y.; Tsang , C. - H. (2006): Agent Based Multi-Objective Approach to Generating Interpretable Fuzzy Systems. In: Yaochu Jin (Hrsg.): Multi-Objective Machine Learning. Berlin/Heidelberg: Springer-Verlag. (Studies in Computational Intelligence, ). S. 339-364.
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  • [16]
    2006 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978647
    Yang, S.; Ong, Y. - S.; Jin, Y. (2006): Editorial to special issue on evolutionary computation in dynamic and uncertain environments Genetic Programming and Evolvable Machines,7:(4): 293-294.
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  • [15]
    2006 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978648
    Branke, J.; Jin, Y. (2006): Guest Editorial Special Issue on Evolutionary Computation in the Presence of Uncertainty IEEE Transactions on Evolutionary Computation,10:(4): 377-379.
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  • [14]
    2006 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978649
    Lim, D.; Ong, Y. - S.; Jin, Y.; Sendhoff, B.; Lee, B. S. (2006): Inverse multi-objective robust evolutionary design Genetic Programming and Evolvable Machines,7:(4): 383-404.
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  • [13]
    2006 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978650
    Foli, K.; Okabe, T.; Olhofer, M.; Jin, Y.; Sendhoff, B. (2006): Optimization of micro heat exchanger: CFD, analytical approach and multi-objective evolutionary algorithms International Journal of Heat and Mass Transfer,49:(5-6): 1090-1099.
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  • [12]
    2006 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978651
    Jin, Y.; Sendhoff, B.; Körner, E. (2006): Simultaneous Generation of Accurate and Interpretable Neural Network Classifiers. In: Yaochu Jin (Hrsg.): Multi-Objective Machine Learning. Berlin/Heidelberg: Springer-Verlag. (Studies in Computational Intelligence, ). S. 289-312.
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  • [11]
    2005 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978652
    Wang, H.; Kwong, S.; Jin, Y.; Wei, W.; Man, K. - F. (2005): Agent-Based Evolutionary Approach for Interpretable Rule-Based Knowledge Extraction IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews),35:(2): 143-155.
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  • [10]
    2005 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978653
    Jin, Y.; Branke, J. (2005): Evolutionary Optimization in Uncertain Environments—A Survey IEEE Transactions on Evolutionary Computation,9:(3): 303-317.
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  • [9]
    2005 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978654
    Jin, Y. (2005): 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): 129-130.
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  • [8]
    2005 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978655
    Wang, H.; Kwong, S.; Jin, Y.; Wei, W.; Man, K. F. (2005): Multi-objective hierarchical genetic algorithm for interpretable fuzzy rule-based knowledge extraction Fuzzy Sets and Systems,149:(1): 149-186.
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  • [7]
    2004 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978656
    Jin, Y.; Sendhoff, B. (2004): Reducing Fitness Evaluations Using Clustering Techniques and Neural Network Ensembles. In: Kalyanmoy Deb (Hrsg.): Genetic and Evolutionary Computation – GECCO 2004. Genetic and Evolutionary Computation Conference, Seattle, WA, USA, June 26-30, 2004. Proceedings, Part I. Berlin, Heidelberg: Springer. (Lecture Notes in Computer Science, 3102). S. 688-699.
    PUB | DOI
     
  • [6]
    2003 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978657
    Jin, Y.; Okabe, T.; Sendhoff, B. (2003): Solving Three-Objective Optimization Problems Using Evolutionary Dynamic Weighted Aggregation: Results and Analysis. In: 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; Julian Miller (Hrsg.): Genetic and Evolutionary Computation — GECCO 2003. Berlin, Heidelberg: Springer Berlin Heidelberg. (Lecture Notes in Computer Science, ). S. 636-637.
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  • [5]
    2003 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978658
    Jin, Y.; Sendhoff, B. (2003): Trade-Off between Performance and Robustness: An Evolutionary Multiobjective Approach. In: Carlos M. Fonseca; Peter J. Fleming; Eckart Zitzler; Lothar Thiele; Kalyanmoy Deb (Hrsg.): Evolutionary Multi-Criterion Optimization. Berlin, Heidelberg: Springer Berlin Heidelberg. (Lecture Notes in Computer Science, ). S. 237-251.
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  • [4]
    2000 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978659
    Jin, Y. (2000): Fuzzy modeling of high-dimensional systems: complexity reduction and interpretability improvement IEEE Transactions on Fuzzy Systems,8:(2): 212-221.
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  • [3]
    1999 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978660
    Jin, Y.; von Seelen, W. (1999): Evaluating flexible fuzzy controllers via evolution strategies Fuzzy Sets and Systems,108:(3): 243-252.
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  • [2]
    1995 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978661
    Jin, Y.; Jiang, J.; Zhu, J. (1995): Adaptive fuzzy modelling and identification with its applications International Journal of Systems Science,26:(2): 197-212.
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  • [1]
    1995 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978684
    Jin, Y.; Jiang, J.; Zhu, J. (1995): Neural network based fuzzy identification and its application to modeling and control of complex systems IEEE Transactions on Systems, Man, and Cybernetics,25:(6): 990-997.
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