442 Publikationen

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  • [442]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2988584
    Tian, M., Chen, M., Du, W., Tang, Y., Jin, Y.: An Enhanced Differential Grouping Method for Large-Scale Overlapping Problems. IEEE Transactions on Evolutionary Computation. 1-1 (2024).
    PUB | DOI
     
  • [441]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2988508
    Huang, B., Cheng, R., Li, Z., Jin, Y., Tan, K.C.: EvoX: A Distributed GPU-Accelerated Framework for Scalable Evolutionary Computation. IEEE Transactions on Evolutionary Computation. 1-1 (2024).
    PUB | DOI
     
  • [440]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2988180
    Ming, F., Gong, W., Wang, L., Jin, Y.: Constrained Multi-Objective Optimization With Deep Reinforcement Learning Assisted Operator Selection. IEEE/CAA Journal of Automatica Sinica. 11, 919-931 (2024).
    PUB | DOI | WoS
     
  • [439]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2986532
    Ming, F., Gong, W., Jin, Y.: Even Search in a Promising Region for Constrained Multi-Objective Optimization. IEEE/CAA Journal of Automatica Sinica. 11, 474-486 (2024).
    PUB | DOI | WoS
     
  • [438]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2988376
    Fang, W., Du, W., He, R., Tang, Y., Jin, Y., Yen, G.G.: Diffusion Model-Based Multiobjective Optimization for Gasoline Blending Scheduling. IEEE Computational Intelligence Magazine. 19, 61-76 (2024).
    PUB | DOI
     
  • [437]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2988289
    Ming, F., Gong, W., Jin, Y.: Growing Neural Gas Network-based surrogate-assisted Pareto set learning for multimodal multi-objective optimization. Swarm and Evolutionary Computation. 87, : 101541 (2024).
    PUB | DOI
     
  • [436]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2988280
    Wang, Z., Wang, H., Tian, C., Jin, Y.: Efficient adversarial training with multi-fidelity optimization for robust neural network. Neurocomputing. : 127627 (2024).
    PUB | DOI
     
  • [435]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2988267
    Zhang, W., Du, W., Du, W., He, R., Jin, Y.: Large-Scale Continuous-Time Crude Oil Scheduling: A Variable-Length Evolutionary Optimization Approach. IEEE Transactions on Automation Science and Engineering. 1-16 (2024).
    PUB | DOI
     
  • [434]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2982949
    Li, N., Ma, L., Yu, G., Xue, B., Zhang, M., Jin, Y.: Survey on Evolutionary Deep Learning: Principles, Algorithms, Applications, and Open Issues. ACM Computing Surveys. 56, 1-34 (2024).
    PUB | DOI | WoS
     
  • [433]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2988102
    Chen, X., Bai, R., Qu, R., Dong, J., Jin, Y.: Deep Reinforcement Learning Assisted Genetic Programming Ensemble Hyper-Heuristics for Dynamic Scheduling of Container Port Trucks. IEEE Transactions on Evolutionary Computation. 1-1 (2024).
    PUB | DOI
     
  • [432]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2988103
    Wu, H., Jin, Y., Gao, K., Ding, J., Cheng, R.: 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 (2024).
    PUB | DOI
     
  • [431]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2988030
    Pan, L., Lin, J., Wang, H., He, C., Tan, K.C., Jin, Y.: Computationally Expensive High-Dimensional Multiobjective Optimization via Surrogate-Assisted Reformulation and Decomposition. IEEE Transactions on Evolutionary Computation. 1-1 (2024).
    PUB | DOI
     
  • [430]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2987810
    Tan, X., Qu, C., Xiong, J., Zhang, J., Qiu, X., Jin, Y.: Model-Based Off-Policy Deep Reinforcement Learning With Model-Embedding. IEEE Transactions on Emerging Topics in Computational Intelligence. 1-13 (2024).
    PUB | DOI
     
  • [429]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2987559
    Liu, S., Yan, X., Jin, Y.: An edge-aware graph autoencoder trained on scale-imbalanced data for traveling salesman problems. Knowledge-Based Systems. : 111559 (2024).
    PUB | DOI
     
  • [428]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2987549
    Wu, L., Jin, Y., Yan, Y., Hao, K.: FL-OTCSEnc: Towards secure federated learning with deep compressed sensing. Knowledge-Based Systems. 291, : 111534 (2024).
    PUB | DOI
     
  • [427]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2987476
    Qian, F., Jin, Y., Yu, X., Tang, Y., Marin, G.B.: Guest Editorial Special Issue on Learning Theories and Methods With Application to Digitized Process Manufacturing. IEEE Transactions on Neural Networks and Learning Systems. 35, 2914-2916 (2024).
    PUB | DOI
     
  • [426]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2987419
    Wu, H., Chen, Q., Jin, Y., Ding, J., Chai, T.: 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 (2024).
    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.: IM-IAD: Industrial Image Anomaly Detection Benchmark in Manufacturing. IEEE Transactions on Cybernetics. 1-14 (2024).
    PUB | DOI
     
  • [424]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2987055
    Yang, Z., Zhang, J., Jiang, Y., Jin, Y.: An Energy-Efficient Convolution-Based Partitioned Collaborative Perception Algorithm for Large-Scale IoT Services. IEEE Transactions on Industrial Informatics. 1-10 (2024).
    PUB | DOI
     
  • [423]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2987054
    Yue, P., Jin, Y., Dai, X., Feng, Z., Cui, D.: Reinforcement Learning for Scalable Train Timetable Rescheduling With Graph Representation. IEEE Transactions on Intelligent Transportation Systems. 1-14 (2024).
    PUB | DOI
     
  • [422]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2986971
    Luo, J., Dong, Y., Liu, Q., Zhu, Z., Cao, W., Tan, K.C., Jin, Y.: A New Multitask Joint Learning Framework for Expensive Multi-Objective Optimization Problems. IEEE Transactions on Emerging Topics in Computational Intelligence. 1-16 (2024).
    PUB | DOI
     
  • [421]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2986970
    Song, Z., Wang, H., Xue, B., Zhang, M., Jin, Y.: Balancing Objective Optimization and Constraint Satisfaction in Expensive Constrained Evolutionary Multi-Objective Optimization. IEEE Transactions on Evolutionary Computation. 1-1 (2024).
    PUB | DOI
     
  • [420]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2986969
    Liu, Y., Liu, J., Ding, J., Yang, S., Jin, Y.: A Surrogate-Assisted Differential Evolution with Knowledge Transfer for Expensive Incremental Optimization Problems. IEEE Transactions on Evolutionary Computation. 1-1 (2024).
    PUB | DOI
     
  • [419]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2986078 OA
    Liu, J., Xie, G., Wang, J., Li, S., Wang, C., Zheng, F., Jin, Y.: Deep Industrial Image Anomaly Detection: A Survey. Machine Intelligence Research. 21, 104-135 (2024).
    PUB | PDF | DOI | WoS
     
  • [418]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2986574
    Qiu, X., Qian, J., Wang, H., Tan, X., Jin, Y.: An attentive Copula-based spatio-temporal graph model for multivariate time-series forecasting. Applied Soft Computing. : 111324 (2024).
    PUB | DOI
     
  • [417]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2986443
    Zhang, W., Du, W., Yu, G., He, R., Du, W., Jin, Y.: Knowledge-Assisted Dual-Stage Evolutionary Optimization of Large-Scale Crude Oil Scheduling. IEEE Transactions on Emerging Topics in Computational Intelligence. 1-15 (2024).
    PUB | DOI
     
  • [416]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2985956
    Jin, Y.: CIS-ing in an Uncertain World [President's Message]. IEEE Computational Intelligence Magazine. 19, 4-5 (2024).
    PUB | DOI
     
  • [415]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2983805
    Xie, G., Huang, Y., Wang, J., Lyu, J., Zheng, F., Zheng, Y., Jin, Y.: Cross-modality Neuroimage Synthesis: A Survey. ACM Computing Surveys. 56, 1-28 (2024).
    PUB | DOI | WoS
     
  • [414]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2983299
    Zhang, T., Wang, H., Yuan, B., Jin, Y., Yao, X.: Surrogate-Assisted Evolutionary -Learning for Black-Box Dynamic Time-Linkage Optimization Problems. IEEE Transactions on Evolutionary Computation. 27, 1162-1176 (2023).
    PUB | DOI | WoS
     
  • [413]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2979758 OA
    Yan, X., Jin, Y., Ke, X., Hao, Z.: Multi-task evolutionary optimization of multi-echelon location routing problems via a hierarchical fuzzy graph. Complex & Intelligent Systems. 9, (2023).
    PUB | PDF | DOI | WoS
     
  • [412]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2980780 OA
    Xie, G., Wang, J., Yu, G., Lyu, J., Zheng, F., Jin, Y.: Tiny adversarial multi-objective one-shot neural architecture search. Complex & Intelligent Systems. 9, (2023).
    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.: Lightweight Structure-aware Transformer Network for Remote Sensing Image Change Detection. IEEE Geoscience and Remote Sensing Letters. 1-1 (2023).
    PUB | DOI | WoS
     
  • [410]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2982935
    Zhang, X., Jin, Y., Qian, F.: A self-adaptive dynamic multi-objective optimization algorithm based on transfer learning and elitism-based mutation. Neurocomputing. : 126761 (2023).
    PUB | DOI | WoS
     
  • [409]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2985552
    Li, F., Shang, Z., Liu, Y., Shen, H., Jin, Y.: Inverse distance weighting and radial basis function based surrogate model for high-dimensional expensive multi-objective optimization. Applied Soft Computing. : 111194 (2023).
    PUB | DOI | WoS
     
  • [408]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2985124
    Yang, C., Ding, J., Jin, Y., Chai, T.: A Data Stream Ensemble Assisted Multifactorial Evolutionary Algorithm for Offline Data-Driven Dynamic Optimization. Evolutionary Computation . 31, 433-458 (2023).
    PUB | DOI | WoS | PubMed | Europe PMC
     
  • [407]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2983502
    Liu, Q., Yan, Y., Ligeti, P., Jin, Y.: A Secure Federated Data-Driven Evolutionary Multi-Objective Optimization Algorithm. IEEE Transactions on Emerging Topics in Computational Intelligence. 1-15 (2023).
    PUB | DOI | WoS
     
  • [406]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2985405
    Zhang, M., Liu, L., Jin, Y., Lei, Z., Wang, Z., Jiao, L.: Tree-shaped multiobjective evolutionary CNN for hyperspectral image classification. Applied Soft Computing. : 111176 (2023).
    PUB | DOI
     
  • [405]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2983757
    Liu, Q., Lanfermann, F., Rodemann, T., Olhofer, M., Jin, Y.: Surrogate-Assisted Many-Objective Optimization of Building Energy Management. IEEE Computational Intelligence Magazine. 18, 14-28 (2023).
    PUB | DOI | WoS
     
  • [404]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2985020
    Liu, Q., Yan, Y., Jin, Y., Wang, X., Ligeti, P., Yu, G., Yan, X.: Secure Federated Evolutionary Optimization—A Survey. Engineering. (2023).
    PUB | DOI
     
  • [403]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2983244
    Xue, D., Lei, T., Yang, S., Lv, Z., Liu, T., Jin, Y., Nandi, A.K.: Triple Change Detection Network via Joint Multi-frequency and Full-scale Swin-Transformer for Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing. 1-1 (2023).
    PUB | DOI | WoS
     
  • [402]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2984612 OA
    Liu, J., Jin, Y.: A comprehensive survey of robust deep learning in computer vision. Journal of Automation and Intelligence. (2023).
    PUB | PDF | DOI | Download (ext.)
     
  • [401]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2984426
    Yang, S., Wang, H., Pang, Y., Jin, Y., Linares-Barranco, B.: Integrating Visual Perception With Decision Making in Neuromorphic Fault-Tolerant Quadruplet-Spike Learning Framework. IEEE Transactions on Systems, Man, and Cybernetics: Systems. 1-13 (2023).
    PUB | DOI
     
  • [400]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2984065
    Wang, X., Jin, Y., Schmitt, S., Olhofer, M.: Recent Advances in Bayesian Optimization. ACM Computing Surveys. 55, : 287 (2023).
    PUB | DOI | WoS
     
  • [399]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2982971
    Yan, X., Fang, Z., Jin, Y.: An adaptive n-gram transformer for multi-scale scene text recognition. Knowledge-Based Systems. : 110964 (2023).
    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.: Adversarial Training of Deep Neural Networks Guided by Texture and Structural Information. Proceedings of the 31st ACM International Conference on Multimedia. p. 4958-4967. ACM, New York, NY, USA (2023).
    PUB | DOI
     
  • [397]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2983734
    Zhang, Y., Tian, Y., Jiang, H., Zhang, X., Jin, Y.: Design and analysis of helper-problem-assisted evolutionary algorithm for constrained multiobjective optimization. Information Sciences. 648, : 119547 (2023).
    PUB | DOI | WoS
     
  • [396]
    2023 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2983444
    Jiang, H., Chou, K., Tian, Y., Zhang, X., Jin, Y.: Efficient Surrogate Modeling Method for Evolutionary Algorithm to Solve Bilevel Optimization Problems. IEEE Transactions on Cybernetics . (2023).
    PUB | DOI | WoS | PubMed | Europe PMC
     
  • [395]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2981615
    Wu, L., Jin, Y., Hao, K.: Optimized compressed sensing for communication efficient federated learning. Knowledge-Based Systems. : 110805 (2023).
    PUB | DOI | Download (ext.) | WoS
     
  • [394]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2983378
    Liu, Q., Yan, Y., Jin, Y.: Privacy-Preserving Federated Bayesian Optimization with Learnable Noise. Information Sciences. : 119739 (2023).
    PUB | DOI
     
  • [393]
    2023 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2983166
    Li, H., Jin, Y., Chai, T.: Evolutionary Multi-Objective Bayesian Optimization Based on Multisource Online Transfer Learning. IEEE Transactions on Emerging Topics in Computational Intelligence . (2023).
    PUB | DOI | WoS
     
  • [392]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2983214
    Si, L., Zhang, X., Tian, Y., Yang, S., Zhang, L., Jin, Y.: Linear Subspace Surrogate Modeling for Large-Scale Expensive Single/Multi-Objective Optimization. IEEE Transactions on Evolutionary Computation. 1-1 (2023).
    PUB | DOI
     
  • [391]
    2023 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2982658
    Wang, X., Jin, Y., Schmitt, S., Olhofer, M.: Alleviating Search Bias in Bayesian Evolutionary Optimization With Many Heterogeneous Objectives. IEEE Transactions on Systems, Man, and Cybernetics: Systems. 1-13 (2023).
    PUB | DOI | Download (ext.) | WoS
     
  • [390]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2983126
    Luo, W., Jin, Y., Huang, C.: Guest Editorial: Special Issue on Security and Privacy in Machine Learning. IEEE Transactions on Artificial Intelligence. 4, 986-987 (2023).
    PUB | DOI
     
  • [389]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2983127
    Zhu, H., Wang, R., Jin, Y., Liang, K.: PIVODL: Privacy-Preserving Vertical Federated Learning Over Distributed Labels. IEEE Transactions on Artificial Intelligence. 4, 988-1001 (2023).
    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.: Pareto-Wise Ranking Classifier for Multi-Objective Evolutionary Neural Architecture Search. IEEE Transactions on Evolutionary Computation. 1-1 (2023).
    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.: Neural Architecture Search via Multi-Hashing Embedding and Graph Tensor Networks for Multilingual Text Classification. IEEE Transactions on Emerging Topics in Computational Intelligence . (2023).
    PUB | DOI | WoS
     
  • [386]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2980810
    Wang, R., Zhang, Q., Dai, X., Yuan, Z., Zhang, T., Ding, S., Jin, Y.: An efficient evolutionary algorithm for high-speed train rescheduling under a partial station blockage. Applied Soft Computing. 145, : 110590 (2023).
    PUB | DOI | Download (ext.) | WoS
     
  • [385]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2979431
    Liu, Q., Fan, J., Zhang, J.-X., Jin, Y.: Guest Editorial: Advanced Intelligent Manufacturing System: Theory, Algorithms, and Industrial Applications. IEEE Transactions on Industrial Informatics. 19, 7720-7723 (2023).
    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.: Fedlabx: a practical and privacy-preserving framework for federated learning. Complex & Intelligent Systems. (2023).
    PUB | DOI | WoS
     
  • [383]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2981362
    Ma, L., Liu, Y., Yu, G., Wang, X., Mo, H., Wang, G.-G., Jin, Y., Tan, Y.: 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 (2023).
    PUB | DOI | Download (ext.) | WoS
     
  • [382]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2981804
    Li, H., Ma, C., Zhang, C., Chen, Q., He, C., Jin, Y.: A Knowledge-Based Cooperative Co-Evolutionary Algorithm for Non-Contact Voltage Measurement. IEEE Transactions on Emerging Topics in Computational Intelligence. 1-14 (2023).
    PUB | DOI | Download (ext.) | WoS
     
  • [381]
    2023 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2978326
    Qin, S., Sun, C., Liu, Q., Jin, Y.: A Performance Indicator Based Infill Criterion for Expensive Multi-/Many-objective Optimization. IEEE Transactions on Evolutionary Computation. 1-1 (2023).
    PUB | DOI | Download (ext.) | WoS
     
  • [380]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2982281
    Yue, P., Jin, Y., Dai, X., Feng, Z., Cui, D.: Reinforcement Learning for Online Dispatching Policy in Real-Time Train Timetable Rescheduling. IEEE Transactions on Intelligent Transportation Systems. 1-13 (2023).
    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.: Robust Optimization Over Time: A Critical Review. IEEE Transactions on Evolutionary Computation. 1-1 (2023).
    PUB | DOI | Download (ext.)
     
  • [378]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2981956
    Liu, J., Cheng, R., Jin, Y.: Bi-fidelity evolutionary multiobjective search for adversarially robust deep neural architectures. Neurocomputing. 550, : 126465 (2023).
    PUB | DOI | WoS
     
  • [377]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2981136
    Wang, S., Ding, B., Jin, Y.: A Multi-Factorial Evolutionary Algorithm With Asynchronous Optimization Processes for Solving the Robust Influence Maximization Problem. IEEE Computational Intelligence Magazine. 18, 41-53 (2023).
    PUB | DOI | Download (ext.) | WoS
     
  • [376]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2979584
    Wu, Y., Peng, X., Wang, H., Jin, Y., Xu, D.: Cooperative Coevolutionary CMA-ES With Landscape-Aware Grouping in Noisy Environments. IEEE Transactions on Evolutionary Computation. 27, 686-700 (2023).
    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.: Automated pattern generation for swarm robots using constrained multi-objective genetic programming. Swarm and Evolutionary Computation. 81, : 101337 (2023).
    PUB | DOI | WoS
     
  • [374]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2980536
    Wang, J., Xie, G., Huang, Y., Lyu, J., Zheng, F., Zheng, Y., Jin, Y.: FedMed-GAN: Federated domain translation on unsupervised cross- modality brain image synthesis. Neurocomputing. 546, : 126282 (2023).
    PUB | DOI | WoS
     
  • [373]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2979947
    Song, Z., Wang, H., Jin, Y.: 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 (2023).
    PUB | DOI | Download (ext.) | WoS
     
  • [372]
    2023 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2979307
    Guo, H., Peng, Q., Cao, Z., Jin, Y.: DRL-Searcher: A Unified Approach to Multirobot Efficient Search for a Moving Target. IEEE Transactions on Neural Networks and Learning Systems. 1-14 (2023).
    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.: Spike-Driven Multi-Scale Learning with Hybrid Mechanisms of Spiking Dendrites. Neurocomputing. : 126240 (In Press).
    PUB | DOI | Download (ext.) | WoS
     
  • [370]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2979725
    Zhang, X., Yu, G., Jin, Y., Qian, F.: An adaptive Gaussian process based manifold transfer learning to expensive dynamic multi-objective optimization. NEUROCOMPUTING. 538, : 126212 (2023).
    PUB | DOI | WoS
     
  • [369]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978320
    Zhang, X., Yu, G., Jin, Y., Qian, F.: Elitism-based transfer learning and diversity maintenance for dynamic multi-objective optimization. Information Sciences. 636, : 118927 (2023).
    PUB | DOI | Download (ext.) | WoS
     
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    2023 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2978768
    Ntelemis, F., Jin, Y., Thomas, S.A.: A Generic Self-Supervised Framework of Learning Invariant Discriminative Features. IEEE Transactions on Neural Networks and Learning Systems. 1-15 (2023).
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    2023 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2979669
    Zhu, H., Wang, X., Jin, Y.: Federated Many-Task Bayesian Optimization. IEEE Transactions on Evolutionary Computation. 1-1 (2023).
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    2023 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2978681
    Guo, H., Sheng, W., Gao, C., Jin, Y.: DRL Router: Distributional Reinforcement Learning-Based Router for Reliable Shortest Path Problems. IEEE Intelligent Transportation Systems Magazine. 2-19 (2023).
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    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978322
    Yang, Z., Zhang, J., Jiang, Y., Jin, Y.: A Self-Organizing IoT Service Perception Algorithm Based on Human Visual Direction-Sensitive System. IEEE Internet of Things Journal. 10, 6193-6204 (2023).
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    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978328 OA
    Lei, T., Geng, X., Ning, H., Lv, Z., Gong, M., Jin, Y., Nandi, A.K.: Ultralightweight Spatial–Spectral Feature Cooperation Network for Change Detection in Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing. 61, 1-14 (2023).
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    2023 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2978321
    Wang, X., Jin, Y.: Personalized Bayesian optimization for noisy problems. Complex & Intelligent Systems. (2023).
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    2023 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2978327
    Lu, Z., Cheng, R., Jin, Y., Tan, K.C., Deb, K.: Neural Architecture Search as Multiobjective Optimization Benchmarks: Problem Formulation and Performance Assessment. IEEE Transactions on Evolutionary Computation. 1-1 (2023).
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    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978382
    Xiao, Y., Jin, Y., Hao, K.: Adaptive Prototypical Networks With Label Words and Joint Representation Learning for Few-Shot Relation Classification. IEEE Transactions on Neural Networks and Learning Systems. 34, 1406-1417 (2023).
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    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978348 OA
    Chen, M., Guo, Y., Jin, Y., Yang, S., Gong, D., Yu, Z.: An environment-driven hybrid evolutionary algorithm for dynamic multi-objective optimization problems. Complex & Intelligent Systems. 9, 659-675 (2023).
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    2023 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2978325
    Hou, Y., Sun, M., Zeng, Y., Ong, Y.-S., Jin, Y., Ge, H., Zhang, Q.: A Multi-agent Cooperative Learning System with Evolution of Social Roles. IEEE Transactions on Evolutionary Computation. 1-14 (2023).
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    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978323
    Tian, Y., Pan, J., Yang, S., Zhang, X., He, S., Jin, Y.: Imperceptible and Sparse Adversarial Attacks via a Dual-Population-Based Constrained Evolutionary Algorithm. IEEE Transactions on Artificial Intelligence. 4, 268-281 (2023).
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    2023 | Konferenzbeitrag | PUB-ID: 2978670
    Liu, S., Wang, X., Jin, Y.: Federated Bayesian for privacy-preserving neural architecture search. Presented at the Congress on Evolutionary Computation, Chicago, IL, USA (2023).
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    2023 | Konferenzbeitrag | PUB-ID: 2978333
    Liao, P., Jin, Y., Du, W.: EMT-NAS: Transferring architectural knowledge between tasks from different datasets. Presented at the The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2023 (CVPR 2023), Vancouver, Canada (2023).
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    2023 | Konferenzbeitrag | PUB-ID: 2978539
    Xie, G., Wang, J., Liu, J., Jin, Y., Zheng, F.: Pushing the Limits of Fewshot Anomaly Detection in Industry Vision: Graphcore. Presented at the The Eleventh International Conference on Learning Representations (ICLR 2023) (2023).
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    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2969872
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    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2969532
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    Wang, S., Jin, Y., Cai, M.: Enhancing the Robustness of Networks Against Multiple Damage Models Using a Multifactorial Evolutionary Algorithm. IEEE Transactions on Systems, Man, and Cybernetics: Systems . (2023).
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    2023 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2969196
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    2023 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2968517
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    He, C., Cheng, R., Li, L., Tan, K.C., Jin, Y.: Large-scale Multiobjective Optimization via Reformulated Decision Variable Analysis. IEEE Transactions on Evolutionary Computation. 1-1 (2022).
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    Chen, M., Du, W., Tang, Y., Jin, Y., Yen, G.G.: A Decomposition Method for Both Additively and Non-additively Separable Problems. IEEE Transactions on Evolutionary Computation. 1-1 (2022).
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    2022 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2978355
    Gu, H., Wang, H., Jin, Y.: Surrogate-Assisted Differential Evolution with Adaptive Multi-Subspace Search for Large-Scale Expensive Optimization. IEEE Transactions on Evolutionary Computation. 1-1 (2022).
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    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978332
    Wang, X., Jin, Y., Hao, K.: Computational Modeling of Structural Synaptic Plasticity in Echo State Networks. IEEE Transactions on Cybernetics. 52, 11254-11266 (2022).
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    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978334
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    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978335
    Tian, Y., Peng, S., Yang, S., Zhang, X., Tan, K.C., Jin, Y.: Action Command Encoding for Surrogate-Assisted Neural Architecture Search. IEEE Transactions on Cognitive and Developmental Systems. 14, 1129-1142 (2022).
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    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978336
    Tian, Y., Zhang, Y., Su, Y., Zhang, X., Tan, K.C., Jin, Y.: Balancing Objective Optimization and Constraint Satisfaction in Constrained Evolutionary Multiobjective Optimization. IEEE Transactions on Cybernetics. 52, 9559-9572 (2022).
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    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978338
    Liu, Y., Liu, J., Jin, Y.: Surrogate-Assisted Multipopulation Particle Swarm Optimizer for High-Dimensional Expensive Optimization. IEEE Transactions on Systems, Man, and Cybernetics: Systems. 52, 4671-4684 (2022).
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    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978339
    Xiang, X., Tian, Y., Zhang, X., Xiao, J., Jin, Y.: A Pairwise Proximity Learning-Based Ant Colony Algorithm for Dynamic Vehicle Routing Problems. IEEE Transactions on Intelligent Transportation Systems. 23, 5275-5286 (2022).
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    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978340
    Liu, J., Liu, Y., Jin, Y., Li, F.: A Decision Variable Assortment-Based Evolutionary Algorithm for Dominance Robust Multiobjective Optimization. IEEE Transactions on Systems, Man, and Cybernetics: Systems. 52, 3360-3375 (2022).
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    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978331
    Wang, X., Zhang, K., Wang, J., Jin, Y.: An Enhanced Competitive Swarm Optimizer With Strongly Convex Sparse Operator for Large-Scale Multiobjective Optimization. IEEE Transactions on Evolutionary Computation. 26, 859-871 (2022).
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    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978330
    Wang, S., Yin, Y., Wang, D., Wang, Y., Jin, Y.: Interpretability-Based Multimodal Convolutional Neural Networks for Skin Lesion Diagnosis. IEEE Transactions on Cybernetics. 52, 12623-12637 (2022).
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    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978329
    Ntelemis, F., Jin, Y., Thomas, S.A.: Image Clustering Using an Augmented Generative Adversarial Network and Information Maximization. IEEE Transactions on Neural Networks and Learning Systems. 33, 7461-7474 (2022).
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    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978337
    Tian, Y., Lu, C., Zhang, X., Cheng, F., Jin, Y.: A Pattern Mining-Based Evolutionary Algorithm for Large-Scale Sparse Multiobjective Optimization Problems. IEEE Transactions on Cybernetics. 52, 6784-6797 (2022).
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    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978341
    Liu, Q., Jin, Y., Heiderich, M., Rodemann, T., Yu, G.: An Adaptive Reference Vector-Guided Evolutionary Algorithm Using Growing Neural Gas for Many-Objective Optimization of Irregular Problems. IEEE Transactions on Cybernetics. 52, 2698-2711 (2022).
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    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978342
    Guo, D., Wang, X., Gao, K., Jin, Y., Ding, J., Chai, T.: Evolutionary Optimization of High-Dimensional Multiobjective and Many-Objective Expensive Problems Assisted by a Dropout Neural Network. IEEE Transactions on Systems, Man, and Cybernetics: Systems. 52, 2084-2097 (2022).
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    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978343
    Zhu, H., Jin, Y.: Real-Time Federated Evolutionary Neural Architecture Search. IEEE Transactions on Evolutionary Computation. 26, 364-378 (2022).
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    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978344
    Xu, J., Du, W., Jin, Y., He, W., Cheng, R.: Ternary Compression for Communication-Efficient Federated Learning. IEEE Transactions on Neural Networks and Learning Systems. 33, 1162-1176 (2022).
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    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978345
    Du, W., Song, W., Tang, Y., Jin, Y., Qian, F.: Searching for Robustness Intervals in Evolutionary Robust Optimization. IEEE Transactions on Evolutionary Computation. 26, 58-72 (2022).
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    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978347
    Qi, S., Zou, J., Yang, S., Jin, Y., Zheng, J., Yang, X.: A self-exploratory competitive swarm optimization algorithm for large-scale multiobjective optimization. Information Sciences. 609, 1601-1620 (2022).
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    2022 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2978351
    Wang, R., Ersoy, O., Zhu, H., Jin, Y., Liang, K.: FEVERLESS: Fast and Secure Vertical Federated Learning based on XGBoost for Decentralized Labels. IEEE Transactions on Big Data. 1-15 (2022).
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    2022 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2978349
    Wang, X., Jin, Y., Du, W., Wang, J.: Evolving Dual-Threshold Bienenstock-Cooper-Munro Learning Rules in Echo State Networks. IEEE Transactions on Neural Networks and Learning Systems. 1-12 (2022).
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    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978350
    Wang, T., Peng, X., Jin, Y., Xu, D.: Experience Sharing Based Memetic Transfer Learning for Multiagent Reinforcement Learning. Memetic Computing. 14, 3-17 (2022).
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    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978352
    Chen, Q., Jin, Y., Song, Y.: Fault-tolerant adaptive tracking control of Euler-Lagrange systems – An echo state network approach driven by reinforcement learning. Neurocomputing. 484, 109-116 (2022).
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    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978354 OA
    Brosnan, P., Tian, G., Zhang, H., Wu, Z., Jin, Y.: Non-linear and multi-domain modelling of a permanent magnet linear synchronous machine for free piston engine generators. Energy Conversion and Management: X. 14, : 100195 (2022).
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    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978385
    Tian, Y., Si, L., Zhang, X., Cheng, R., He, C., Tan, K.C., Jin, Y.: Evolutionary Large-Scale Multi-Objective Optimization: A Survey. ACM Computing Surveys. 54, 1-34 (2022).
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    2022 | Konferenzbeitrag | PUB-ID: 2978672
    Xie, G., Wang, J., Huang, Y., Zheng, Y., Zheng, F., Jin, Y.: FedMed-ATL: Misaligned unpaired brain image synthesis via affine transform loss. Presented at the The 30th ACM International Conference on Multimedia (ACM MM 2022), Lisbon, Portugal (2022).
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    2022 | Konferenzbeitrag | PUB-ID: 2978671
    Hong, Y., Jin, Y., Tang, Y.: Rethinking individual global max in cooperative multi-agent reinforcement learning. Presented at the The Thirty-Sixth Annual Conference on Neural Information Processing Systems (NeurIPS 2022), New Orleans, USA (2022).
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    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2967873
    Yu, G., Ma, L., Jin, Y., Du, W., Liu, Q., Zhang, H.: A Survey on Knee-Oriented Multiobjective Evolutionary Optimization. IEEE Transactions on Evolutionary Computation. 26, 1452-1472 (2022).
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    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2967881
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    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2967882
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    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2966986
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    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2966974
    Chen, S., Qiu, X., Tan, X., Fang, Z., Jin, Y.: A model-based hybrid soft actor-critic deep reinforcement learning algorithm for optimal ventilator settings. Information Sciences. 611, 47-64 (2022).
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    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2966360
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    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2966363
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    Tian, Y., Si, L., Zhang, X., Tan, K.C., Jin, Y.: Local Model-Based Pareto Front Estimation for Multiobjective Optimization. IEEE Transactions on Systems, Man, and Cybernetics: Systems . (2022).
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    Liu, Z., Tong, L., Chen, L., Jiang, Z., Zhou, F., Zhang, Q., Zhang, X., Jin, Y., Zhou, H.: Deep learning based brain tumor segmentation: a survey. Complex & Intelligent Systems. (2022).
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    Liu, Q., Jin, Y., Heiderich, M., Rodemann, T.: Coordinated Adaptation of Reference Vectors and Scalarizing Functions in Evolutionary Many-Objective Optimization. IEEE Transactions on Systems, Man, and Cybernetics: Systems . (2022).
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    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2964066
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    Liu, Z., Wang, H., Jin, Y.: Performance Indicator-Based Adaptive Model Selection for Offline Data-Driven Multiobjective Evolutionary Optimization. IEEE Transactions on Cybernetics . (2022).
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    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2963471
    Han, D., Du, W., Jin, Y., Du, W., Yu, G.: A fuzzy constraint handling technique for decomposition-based constrained multi- and many-objective optimization. Information Sciences . 597, 318-340 (2022).
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    2022 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2963475
    Bai, H., Cheng, R., Yazdani, D., Tan, K.C., Jin, Y.: Evolutionary Large-Scale Dynamic Optimization Using Bilevel Variable Grouping. IEEE Transactions on Cybernetics . (2022).
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    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2963022
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    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2963021
    Qiu, X., Tan, X., Li, Q., Chen, S., Ru, Y., Jin, Y.: A latent batch-constrained deep reinforcement learning approach for precision dosing clinical decision support. Knowledge-Based Systems . 237, : 107689 (2022).
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    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2962699
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    Liu, Q., Cheng, R., Jin, Y., Heiderich, M., Rodemann, T.: Reference Vector-Assisted Adaptive Model Management for Surrogate-Assisted Many-Objective Optimization. IEEE Transactions on Systems, Man, and Cybernetics: Systems . (2022).
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    Tian, Y., Li, X., Ma, H., Zhang, X., Tan, K.C., Jin, Y.: Deep Reinforcement Learning Based Adaptive Operator Selection for Evolutionary Multi-Objective Optimization. IEEE Transactions on Emerging Topics in Computational Intelligence . (2022).
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    Wang, S., Yin, Y., Wang, D., Lv, Z., Wang, Y., Jin, Y.: An interpretable deep neural network for colorectal polyp diagnosis under colonoscopy. Knowledge-Based Systems. 234, : 107568 (2021).
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    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978360
    Shirazi, A.R., Jin, Y.: Regulated Morphogen Gradients for Target Surrounding and Adaptive Shape Formation. IEEE Transactions on Cognitive and Developmental Systems. 13, 818-826 (2021).
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    Wang, X., Jin, Y., Schmitt, S., Olhofer, M.: Transfer Learning Based Co-surrogate Assisted Evolutionary Bi-objective Optimization for Objectives with Non-uniform Evaluation Times. Evolutionary computation. 30, 221–251 (2021).
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    Yazdani, D., Cheng, R., Yazdani, D., Branke, J., Jin, Y., Yao, X.: A Survey of Evolutionary Continuous Dynamic Optimization Over Two Decades - Part B. IEEE Transactions on Evolutionary Computation. 25, 630-650 (2021).
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    Yazdani, D., Cheng, R., Yazdani, D., Branke, J., Jin, Y., Yao, X.: A Survey of Evolutionary Continuous Dynamic Optimization Over Two Decades - Part A. IEEE Transactions on Evolutionary Computation. 25, 609-629 (2021).
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    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978364
    Qian, F., Jin, Y., Qin, S.J., Sundmacher, K.: Guest Editorial Special Issue on Deep Integration of Artificial Intelligence and Data Science for Process Manufacturing. IEEE Transactions on Neural Networks and Learning Systems. 32, 3294-3295 (2021).
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    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978365
    Qin, S., Sun, C., Jin, Y., Tan, Y., Fieldsend, J.: Large-Scale Evolutionary Multiobjective Optimization Assisted by Directed Sampling. IEEE Transactions on Evolutionary Computation. 25, 724-738 (2021).
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    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978366
    Wang, S., Liu, J., Jin, Y.: A Computationally Efficient Evolutionary Algorithm for Multiobjective Network Robustness Optimization. IEEE Transactions on Evolutionary Computation. 25, 419-432 (2021).
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    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978370
    Tian, Y., Lu, C., Zhang, X., Tan, K.C., Jin, Y.: Solving Large-Scale Multiobjective Optimization Problems With Sparse Optimal Solutions via Unsupervised Neural Networks. IEEE Transactions on Cybernetics. 51, 3115-3128 (2021).
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    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978371
    Chen, H., Cheng, R., Pedrycz, W., Jin, Y.: Solving Many-Objective Optimization Problems via Multistage Evolutionary Search. IEEE Transactions on Systems, Man, and Cybernetics: Systems. 51, 3552-3564 (2021).
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    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978372
    Zhu, H., Zhang, H., Jin, Y.: From federated learning to federated neural architecture search: a survey. Complex & Intelligent Systems. 7, 639-657 (2021).
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    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978373
    Zhang, H., Jin, Y., Cheng, R., Hao, K.: Efficient Evolutionary Search of Attention Convolutional Networks via Sampled Training and Node Inheritance. IEEE Transactions on Evolutionary Computation. 25, 371-385 (2021).
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    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978374
    Tian, Y., Zhang, T., Xiao, J., Zhang, X., Jin, Y.: A Coevolutionary Framework for Constrained Multiobjective Optimization Problems. IEEE Transactions on Evolutionary Computation. 25, 102-116 (2021).
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    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978357
    Xu, J., Jin, Y., Du, W., Gu, S.: A federated data-driven evolutionary algorithm. Knowledge-Based Systems. 233, : 107532 (2021).
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    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978358
    Xu, J., Jin, Y., Du, W.: A federated data-driven evolutionary algorithm for expensive multi-/many-objective optimization. Complex & Intelligent Systems. 7, 3093-3109 (2021).
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    Song, Z., Wang, H., He, C., Jin, Y.: A Kriging-Assisted Two-Archive Evolutionary Algorithm for Expensive Many-Objective Optimization. IEEE Transactions on Evolutionary Computation. 25, 1013-1027 (2021).
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    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978375
    Yu, G., Jin, Y., Olhofer, M.: A Multiobjective Evolutionary Algorithm for Finding Knee Regions Using Two Localized Dominance Relationships. IEEE Transactions on Evolutionary Computation. 25, 145-158 (2021).
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    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978376
    Kuutti, S., Bowden, R., Jin, Y., Barber, P., Fallah, S.: A Survey of Deep Learning Applications to Autonomous Vehicle Control. IEEE Transactions on Intelligent Transportation Systems. 22, 712-733 (2021).
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    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978377
    Wang, S., Liu, J., Jin, Y.: Finding Influential Nodes in Multiplex Networks Using a Memetic Algorithm. IEEE Transactions on Cybernetics. 51, 900-912 (2021).
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    Wang, H., Feng, L., Jin, Y., Doherty, J.: Surrogate-Assisted Evolutionary Multitasking for Expensive Minimax Optimization in Multiple Scenarios. IEEE Computational Intelligence Magazine. 16, 34-48 (2021).
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    Liu, R., Li, J., Jin, Y., Jiao, L.: A Self-Adaptive Response Strategy for Dynamic Multiobjective Evolutionary Optimization Based on Objective Space Decomposition. Evolutionary Computation. 29, 491-519 (2021).
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    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978383
    Zhang, Q., Lu, J., Jin, Y.: Artificial intelligence in recommender systems. Complex & Intelligent Systems. 7, 439-457 (2021).
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    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978384
    Zhu, H., Wang, R., Jin, Y., Liang, K., Ning, J.: Distributed additive encryption and quantization for privacy preserving federated deep learning. Neurocomputing. 463, 309-327 (2021).
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    2021 | Kurzbeitrag Konferenz / Poster | Veröffentlicht | PUB-ID: 2978390
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    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978392
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    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978367
    Tian, Y., Liu, R., Zhang, X., Ma, H., Tan, K.C., Jin, Y.: A Multipopulation Evolutionary Algorithm for Solving Large-Scale Multimodal Multiobjective Optimization Problems. IEEE Transactions on Evolutionary Computation. 25, 405-418 (2021).
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    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978368
    He, C., Huang, S., Cheng, R., Tan, K.C., Jin, Y.: Evolutionary Multiobjective Optimization Driven by Generative Adversarial Networks (GANs). IEEE Transactions on Cybernetics. 51, 3129-3142 (2021).
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    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978369
    He, C., Cheng, R., Tian, Y., Zhang, X., Tan, K.C., Jin, Y.: Paired Offspring Generation for Constrained Large-Scale Multiobjective Optimization. IEEE Transactions on Evolutionary Computation. 25, 448-462 (2021).
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    2021 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2960436
    Yu, G., Jin, Y., Olhofer, M., Liu, Q., Du, W.: Solution Set Augmentation for Knee Identification in Multiobjective Decision Analysis. IEEE Transactions on Cybernetics . (2021).
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    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978401
    Jin, Y.: Introduction to the Special Issue on Nature-Inspired Optimization Methods in Fuzzy Systems. IEEE Transactions on Fuzzy Systems. 28, 1019-1022 (2020).
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    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978393
    Huang, L., Ding, Y., Zhou, M.C., Jin, Y., Hao, K.: Multiple-Solution Optimization Strategy for Multirobot Task Allocation. IEEE Transactions on Systems, Man, and Cybernetics: Systems. 50, 4283-4294 (2020).
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    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978394
    Chen, Y., Sun, X., Jin, Y.: Communication-Efficient Federated Deep Learning With Layerwise Asynchronous Model Update and Temporally Weighted Aggregation. IEEE Transactions on Neural Networks and Learning Systems. 31, 4229-4238 (2020).
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    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978395
    Zhou, Y., Jin, Y., Ding, J.: Surrogate-Assisted Evolutionary Search of Spiking Neural Architectures in Liquid State Machines. Neurocomputing. 406, 12-23 (2020).
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    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978397
    Tian, Y., Zheng, X., Zhang, X., Jin, Y.: Efficient Large-Scale Multiobjective Optimization Based on a Competitive Swarm Optimizer. IEEE Transactions on Cybernetics. 50, 3696-3708 (2020).
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    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978396
    Yu, G., Jin, Y., Olhofer, M.: Benchmark Problems and Performance Indicators for Search of Knee Points in Multiobjective Optimization. IEEE Transactions on Cybernetics. 50, 3531-3544 (2020).
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    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978398
    Wang, S., Liu, J., Jin, Y.: Surrogate-Assisted Robust Optimization of Large-Scale Networks Based on Graph Embedding. IEEE Transactions on Evolutionary Computation. 24, 735-749 (2020).
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    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978399
    Wang, H., Jin, Y., Yang, C., Jiao, L.: Transfer stacking from low-to high-fidelity: A surrogate-assisted bi-fidelity evolutionary algorithm. Applied Soft Computing. 92, : 106276 (2020).
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    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978402
    Wang, X., Jin, Y., Schmitt, S., Olhofer, M.: An adaptive Bayesian approach to surrogate-assisted evolutionary multi-objective optimization. Information Sciences. 519, 317-331 (2020).
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    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978404
    Wang, X., Jin, Y., Hao, K.: Evolving Local Plasticity Rules for Synergistic Learning in Echo State Networks. IEEE Transactions on Neural Networks and Learning Systems. 31, 1363-1374 (2020).
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    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978405
    Zhu, H., Jin, Y.: Multi-Objective Evolutionary Federated Learning. IEEE Transactions on Neural Networks and Learning Systems. 31, 1310-1322 (2020).
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    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978406
    Sun, Y., Wang, H., Xue, B., Jin, Y., Yen, G.G., Zhang, M.: Surrogate-Assisted Evolutionary Deep Learning Using an End-to-End Random Forest-Based Performance Predictor. IEEE Transactions on Evolutionary Computation. 24, 350-364 (2020).
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    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978407
    Tian, Y., Zhang, X., Cheng, R., He, C., Jin, Y.: Guiding Evolutionary Multiobjective Optimization With Generic Front Modeling. IEEE Transactions on Cybernetics. 50, 1106-1119 (2020).
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    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978408
    Zhang, X., Zhou, K., Pan, H., Zhang, L., Zeng, X., Jin, Y.: A Network Reduction-Based Multiobjective Evolutionary Algorithm for Community Detection in Large-Scale Complex Networks. IEEE Transactions on Cybernetics. 50, 703-716 (2020).
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    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978410
    Wang, S., Wang, Y., Wang, D., Yin, Y., Wang, Y., Jin, Y.: An improved random forest-based rule extraction method for breast cancer diagnosis. Applied Soft Computing. 86, : 105941 (2020).
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    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978411
    Yang, Z., Ding, Y., Jin, Y., Hao, K.: Immune-Endocrine System Inspired Hierarchical Coevolutionary Multiobjective Optimization Algorithm for IoT Service. IEEE Transactions on Cybernetics. 50, 164-177 (2020).
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    2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978412
    Wang, X., Jin, Y., Hao, K.: A Gated Recurrent Unit based Echo State Network. 2020 International Joint Conference on Neural Networks (IJCNN). p. 1-7. IEEE (2020).
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    2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978413
    Fourati, R., Ammar, B., Jin, Y., Alimi, A.M.: EEG feature learning with Intrinsic Plasticity based Deep Echo State Network. 2020 International Joint Conference on Neural Networks (IJCNN). p. 1-8. IEEE (2020).
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    2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978414
    Naik, N., Jenkins, P., Cooke, R., Gillett, J., Jin, Y.: Evaluating Automatically Generated YARA Rules and Enhancing Their Effectiveness. 2020 IEEE Symposium Series on Computational Intelligence (SSCI). p. 1146-1153. IEEE (2020).
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    2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978415
    Chen, H., Jin, Y., Wang, L., Chi, C.-H., Shen, J.: HIME: Mining and Ensembling Heterogeneous Information for Protein-Protein Interactions Prediction. 2020 International Joint Conference on Neural Networks (IJCNN). p. 1-8. IEEE (2020).
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    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978416
    Liao, P., Sun, C., Zhang, G., Jin, Y.: Multi-surrogate multi-tasking optimization of expensive problems. Knowledge-Based Systems. 205, : 106262 (2020).
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    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978417
    Wang, S., Liu, J., Jin, Y.: Robust Structural Balance in Signed Networks Using a Multiobjective Evolutionary Algorithm. IEEE Computational Intelligence Magazine. 15, 24-35 (2020).
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    2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978418
    Wang, X., Jin, Y., Schmitt, S., Olhofer, M., Coello Coello, C.A.: Transfer learning for gaussian process assisted evolutionary bi-objective optimization for objectives with different evaluation times. Proceedings of the 2020 Genetic and Evolutionary Computation Conference (GECCO '20). p. 587-594. ACM, New York, NY (2020).
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    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978409
    Wang, H., Jin, Y.: A Random Forest-Assisted Evolutionary Algorithm for Data-Driven Constrained Multiobjective Combinatorial Optimization of Trauma Systems. IEEE Transactions on Cybernetics. 50, 536-549 (2020).
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    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978403
    Tian, Y., Zhang, X., Wang, C., Jin, Y.: An Evolutionary Algorithm for Large-Scale Sparse Multiobjective Optimization Problems. IEEE Transactions on Evolutionary Computation. 24, 380-393 (2020).
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    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978420
    Rong, M., Gong, D., Zhang, Y., Jin, Y., Pedrycz, W.: Multidirectional Prediction Approach for Dynamic Multiobjective Optimization Problems. IEEE Transactions on Cybernetics. 49, 3362-3374 (2019).
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    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978419
    He, C., Li, L., Tian, Y., Zhang, X., Cheng, R., Jin, Y., Yao, X.: Accelerating Large-Scale Multiobjective Optimization via Problem Reformulation. IEEE Transactions on Evolutionary Computation. 23, 949-961 (2019).
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    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978421
    Peng, X., Jin, Y., Wang, H.: Multimodal Optimization Enhanced Cooperative Coevolution for Large-Scale Optimization. IEEE Transactions on Cybernetics. 49, 3507-3520 (2019).
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    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978422
    Hua, Y., Jin, Y., Hao, K.: A Clustering-Based Adaptive Evolutionary Algorithm for Multiobjective Optimization With Irregular Pareto Fronts. IEEE Transactions on Cybernetics. 49, 2758-2770 (2019).
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    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978423
    Han, D., Du, W., Du, W., Jin, Y., Wu, C.: An adaptive decomposition-based evolutionary algorithm for many-objective optimization. Information Sciences. 491, 204-222 (2019).
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    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978424
    Wang, X., Jin, Y., Hao, K.: Echo state networks regulated by local intrinsic plasticity rules for regression. Neurocomputing. 351, 111-122 (2019).
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    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978425
    Yang, C., Ding, J., Jin, Y., Wang, C., Chai, T.: Multitasking Multiobjective Evolutionary Operational Indices Optimization of Beneficiation Processes. IEEE Transactions on Automation Science and Engineering. 16, 1046-1057 (2019).
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    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978427
    Wang, Y., Wang, D., Geng, N., Wang, Y., Yin, Y., Jin, Y.: Stacking-based ensemble learning of decision trees for interpretable prostate cancer detection. Applied Soft Computing. 77, 188-204 (2019).
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    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978426
    Sun, C., Wang, H., Du, W., Jin, Y.: Guest Editorial: Special Issue on Computational Intelligence in Data-Driven Optimization. IEEE Transactions on Emerging Topics in Computational Intelligence. 3, 90-92 (2019).
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    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978428
    Guo, D., Jin, Y., Ding, J., Chai, T.: Heterogeneous Ensemble-Based Infill Criterion for Evolutionary Multiobjective Optimization of Expensive Problems. IEEE Transactions on Cybernetics. 49, 1012-1025 (2019).
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    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978429
    Fan, Q., Jin, Y., Wang, W., Yan, X.: A performance-driven multi-algorithm selection strategy for energy consumption optimization of sea-rail intermodal transportation. Swarm and Evolutionary Computation. 44, 1-17 (2019).
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    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978430
    Wang, Y., Wang, D., Ye, X., Wang, Y., Yin, Y., Jin, Y.: A tree ensemble-based two-stage model for advanced-stage colorectal cancer survival prediction. Information Sciences. 474, 106-124 (2019).
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    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978431
    Carneiro, M.G., Cheng, R., Zhao, L., Jin, Y.: Particle swarm optimization for network-based data classification. Neural Networks. 110, 243-255 (2019).
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    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978433
    Han, Y., Gong, D., Jin, Y., Pan, Q.: Evolutionary Multiobjective Blocking Lot-Streaming Flow Shop Scheduling With Machine Breakdowns. IEEE Transactions on Cybernetics. 49, 184-197 (2019).
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    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978434
    Du, W., Zhong, W., Tang, Y., Du, W., Jin, Y.: High-Dimensional Robust Multi-Objective Optimization for Order Scheduling: A Decision Variable Classification Approach. IEEE Transactions on Industrial Informatics. 15, 293-304 (2019).
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    2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978436
    Zhou, Y., Jin, Y., Ding, J.: Evolutionary Optimization of Liquid State Machines for Robust Learning. In: Lu, H., Tang, H., and Wang, Z. (eds.) Advances in Neural Networks – ISNN 2019. 16th International Symposium on Neural Networks, ISNN 2019, Moscow, Russia, July 10–12, 2019, Proceedings, Part I. Lecture Notes in Computer Science. 11554, p. 389-398. Springer International Publishing, Cham (2019).
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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.: Garteur AD/AG-52: Surrogate-Based Global Optimization Methods in Preliminary Aerodynamic Design. In: Andrés-Pérez, E., González, L.M., Periaux, J., Gauger, N., Quagliarella, D., and Giannakoglou, K. (eds.) Evolutionary and Deterministic Methods for Design Optimization and Control With Applications to Industrial and Societal Problems. Computational Methods in Applied Sciences. 49, p. 195-210. Springer International Publishing, Cham (2019).
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    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978448
    Yang, Z., Jin, Y., Hao, K.: A Bio-Inspired Self-Learning Coevolutionary Dynamic Multiobjective Optimization Algorithm for Internet of Things Services. IEEE Transactions on Evolutionary Computation. 23, 675-688 (2019).
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    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978451
    Tian, Y., Cheng, R., Zhang, X., Su, Y., Jin, Y.: A Strengthened Dominance Relation Considering Convergence and Diversity for Evolutionary Many-Objective Optimization. IEEE Transactions on Evolutionary Computation. 23, 331-345 (2019).
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    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978455
    Jin, Y., Wang, H., Chugh, T., Guo, D., Miettinen, K.: Data-Driven Evolutionary Optimization: An Overview and Case Studies. IEEE Transactions on Evolutionary Computation. 23, 442-458 (2019).
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    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978463
    Wang, H., Jin, Y., Sun, C., Doherty, J.: Offline Data-Driven Evolutionary Optimization Using Selective Surrogate Ensembles. IEEE Transactions on Evolutionary Computation. 23, 203-216 (2019).
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    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978479
    Ye, X., Li, J., Liu, S., Liang, J., Jin, Y.: A hybrid instance-intensive workflow scheduling method in private cloud environment. Natural Computing. 18, 735-746 (2019).
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    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978482
    Wang, D.-J., Liu, F., Jin, Y.: A proactive scheduling approach to steel rolling process with stochastic machine breakdown. Natural Computing. 18, 679-694 (2019).
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    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978495
    Ding, J., Yang, C., Jin, Y., Chai, T.: Generalized Multitasking for Evolutionary Optimization of Expensive Problems. IEEE Transactions on Evolutionary Computation. 23, 44-58 (2019).
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    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978503
    Guo, F., Ren, L., Jin, Y., Ding, Y.: A dynamic SVR–ARMA model with improved fruit fly algorithm for the nonlinear fiber stretching process. Natural Computing. 18, 747-756 (2019).
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    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978449
    Pan, L., He, C., Tian, Y., Wang, H., Zhang, X., Jin, Y.: A Classification-Based Surrogate-Assisted Evolutionary Algorithm for Expensive Many-Objective Optimization. IEEE Transactions on Evolutionary Computation. 23, 74-88 (2019).
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    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978461
    Tian, J., Tan, Y., Zeng, J., Sun, C., Jin, Y.: Multiobjective Infill Criterion Driven Gaussian Process-Assisted Particle Swarm Optimization of High-Dimensional Expensive Problems. IEEE Transactions on Evolutionary Computation. 23, 459-472 (2019).
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    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978432
    Jiao, R., Zeng, S., Li, C., Jiang, Y., Jin, Y.: A complete expected improvement criterion for Gaussian process assisted highly constrained expensive optimization. Information Sciences. 471, 80-96 (2019).
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    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978435
    Ding, J., Yang, C., Xiao, Q., Chai, T., Jin, Y.: Dynamic Evolutionary Multiobjective Optimization for Raw Ore Allocation in Mineral Processing. IEEE Transactions on Emerging Topics in Computational Intelligence. 1-13 (2018).
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    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978438
    Wang, H., Jin, Y., Doherty, J.: A Generic Test Suite for Evolutionary Multifidelity Optimization. IEEE Transactions on Evolutionary Computation. 22, 836-850 (2018).
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    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978439
    Cui, S., Wang, D., Wang, Y., Yu, P.-W., Jin, Y.: An improved support vector machine-based diabetic readmission prediction. Computer Methods and Programs in Biomedicine. 166, 123-135 (2018).
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    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978440
    Xie, Z., Jin, Y.: An Extended Reinforcement Learning Framework to Model Cognitive Development With Enactive Pattern Representation. IEEE Transactions on Cognitive and Developmental Systems. 10, 738-750 (2018).
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    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978441
    Tian, Y., Cheng, R., Zhang, X., Cheng, F., Jin, Y.: An Indicator-Based Multiobjective Evolutionary Algorithm With Reference Point Adaptation for Better Versatility. IEEE Transactions on Evolutionary Computation. 22, 609-622 (2018).
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    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978442
    Yu, H., Tan, Y., Zeng, J., Sun, C., Jin, Y.: Surrogate-assisted hierarchical particle swarm optimization. Information Sciences. 454-455, 59-72 (2018).
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    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978444
    Gu, S., Cheng, R., Jin, Y.: Feature selection for high-dimensional classification using a competitive swarm optimizer. Soft Computing. 22, 811-822 (2018).
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    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978447
    Jin, Y., Miettinen, K., Ishibuchi, H.: Guest Editorial Evolutionary Many-Objective Optimization. IEEE Transactions on Evolutionary Computation. 22, 1-2 (2018).
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    2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978450
    Yu, G., Jin, Y., Olhofer, M.: A Method for a Posteriori Identification of Knee Points Based on Solution Density. 2018 IEEE Congress on Evolutionary Computation (CEC). p. 1-8. IEEE (2018).
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    2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978467
    Sun, C., Jin, Y., Tan, Y., Takadama, K.: Semi-supervised learning assisted particle swarm optimization of computationally expensive problems. In: Aguirre, H. (ed.) Proceedings of the Genetic and Evolutionary Computation Conference. p. 45-52. ACM, New York, NY (2018).
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    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978457
    Chen, Z., Yeo, C.K., Lee, B.S., Lau, C.T., Jin, Y.: Evolutionary multi-objective optimization based ensemble autoencoders for image outlier detection. Neurocomputing. 309, 192-200 (2018).
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    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978452
    Zhang, X., Zheng, X., Cheng, R., Qiu, J., Jin, Y.: A competitive mechanism based multi-objective particle swarm optimizer with fast convergence. Information Sciences. 427, 63-76 (2018).
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    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978453
    Sun, C., Ding, J., Zeng, J., Jin, Y.: A fitness approximation assisted competitive swarm optimizer for large scale expensive optimization problems. Memetic Computing. 10, 123-134 (2018).
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    2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978458
    Wang, H., Doherty, J., Jin, Y.: Hierarchical Surrogate-Assisted Evolutionary Multi-Scenario Airfoil Shape Optimization. 2018 IEEE Congress on Evolutionary Computation (CEC). p. 1-8. IEEE (2018).
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    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978459
    Yang, C., Ding, J., Jin, Y., Chai, T.: Incremental data-driven optimization of complex systems in nonstationary environments. Science China Information Sciences. 61, : 129205 (2018).
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    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978460
    Oh, H., Shiraz, A.R., Jin, Y.: Morphogen diffusion algorithms for tracking and herding using a swarm of kilobots. Soft Computing. 22, 1833-1844 (2018).
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    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978464
    Qian, C., Yu, Y., Tang, K., Jin, Y., Yao, X., Zhou, Z.-H.: On the Effectiveness of Sampling for Evolutionary Optimization in Noisy Environments. Evolutionary Computation. 26, 237-267 (2018).
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    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978465
    Lu, J., Ding, J., Liu, C., Jin, Y.: Prediction of Physical Properties of Crude Oil Based on Ensemble Random Weights Neural Network. IFAC-PapersOnLine. 51, 655-660 (2018).
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    2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978466
    Tian, Y., Xiang, X., Zhang, X., Cheng, R., Jin, Y.: Sampling Reference Points on the Pareto Fronts of Benchmark Multi-Objective Optimization Problems. 2018 IEEE Congress on Evolutionary Computation (CEC). p. 1-6. IEEE (2018).
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    2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978469
    Doherty, J.J., Wang, H., Jin, Y.: Use of Global Drag Rise Boundaries to Investigate Ill-Posed Transonic Airfoil Optimization. 2018 Applied Aerodynamics Conference. American Institute of Aeronautics and Astronautics, Reston, Virginia (2018).
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    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978443
    Li, F., Cheng, R., Liu, J., Jin, Y.: A two-stage R2 indicator based evolutionary algorithm for many-objective optimization. Applied Soft Computing. 67, 245-260 (2018).
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    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978446
    Chugh, T., Jin, Y., Miettinen, K., Hakanen, J., Sindhya, K.: A Surrogate-Assisted Reference Vector Guided Evolutionary Algorithm for Computationally Expensive Many-Objective Optimization. IEEE Transactions on Evolutionary Computation. 22, 129-142 (2018).
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    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978445
    Zhang, X., Tian, Y., Cheng, R., Jin, Y.: A Decision Variable Clustering-Based Evolutionary Algorithm for Large-Scale Many-Objective Optimization. IEEE Transactions on Evolutionary Computation. 22, 97-112 (2018).
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    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978489
    Jin, Y., Kollias, S.: Conference Report on 2016 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2016) [Conference Reports]. IEEE Computational Intelligence Magazine. 12, 18-19 (2017).
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    2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978454
    Tian, J., Sun, C., Zeng, J., Yu, H., Tan, Y., Jin, Y.: Comparisons of different kernels in Kriging-assisted evolutionary expensive optimization. 2017 IEEE Symposium Series on Computational Intelligence (SSCI). p. 1-8. IEEE (2017).
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    2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978456
    Thomas, S.A., Jin, Y., Bunch, J., Gilmore, I.S.: Enhancing classification of mass spectrometry imaging data with deep neural networks. 2017 IEEE Symposium Series on Computational Intelligence (SSCI). p. 1-8. IEEE (2017).
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    2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978462
    Carneiro, M.G., Cupertino, T.H., Cheng, R., Jin, Y., Zhao, L.: Nature-Inspired Graph Optimization for Dimensionality Reduction. 2017 IEEE 29th International Conference on Tools with Artificial Intelligence (ICTAI). p. 1113-1119. IEEE (2017).
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    2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978468
    Yang, C., Ding, J., Tan, K.C., Jin, Y.: Two-stage assortative mating for multi-objective multifactorial evolutionary optimization. 2017 IEEE 56th Annual Conference on Decision and Control (CDC). p. 76-81. IEEE (2017).
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    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978470
    Chrol-Cannon, J., Jin, Y., Grüning, A.: An efficient method for online detection of polychronous patterns in spiking neural networks. Neurocomputing. 267, 644-650 (2017).
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    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978471
    Cheng, R., Jin, Y., Olhofer, M., sendhoff, B.: Test Problems for Large-Scale Multiobjective and Many-Objective Optimization. IEEE Transactions on Cybernetics. 47, 4108-4121 (2017).
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    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978472
    Liu, Y., Gong, D., Sun, J., Jin, Y.: A Many-Objective Evolutionary Algorithm Using A One-by-One Selection Strategy. IEEE Transactions on Cybernetics. 47, 2689-2702 (2017).
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    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978474
    Gu, S., Jin, Y.: Multi-train: A semi-supervised heterogeneous ensemble classifier. Neurocomputing. 249, 202-211 (2017).
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    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978498
    Jin, Y., Ding, J.: Special issue on “Data-driven evolutionary optimization”. Soft Computing. 21, 5867-5868 (2017).
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    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978499
    Allmendinger, R., Emmerich, M.T.M., Hakanen, J., Jin, Y., Rigoni, E.: Surrogate-assisted multicriteria optimization: Complexities, prospective solutions, and business case. Journal of Multi-Criteria Decision Analysis. 24, 5-24 (2017).
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    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978500
    Jin, Y., Ding, J., Ding, Y.: Thematic issue on “bio-inspired learning for data analysis”. Memetic Computing. 9, 1-2 (2017).
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    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978476
    Wang, H., Jin, Y., Yao, X.: Diversity Assessment in Many-Objective Optimization. IEEE Transactions on Cybernetics. 47, 1510-1522 (2017).
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    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978477
    Shirazi, A.R., Jin, Y.: A Strategy for Self-Organized Coordinated Motion of a Swarm of Minimalist Robots. IEEE Transactions on Emerging Topics in Computational Intelligence. 1, 326-338 (2017).
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    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978480
    Huang, Y., Ding, Y., Hao, K., Jin, Y.: A multi-objective approach to robust optimization over time considering switching cost. Information Sciences. 394-395, 183-197 (2017).
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    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978481
    Wang, D.-J., Liu, F., Jin, Y.: A multi-objective evolutionary algorithm guided by directed search for dynamic scheduling. Computers & Operations Research. 79, 279-290 (2017).
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    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978483
    He, C., Tian, Y., Jin, Y., Zhang, X., Pan, L.: A radial space division based evolutionary algorithm for many-objective optimization. Applied Soft Computing. 61, 603-621 (2017).
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    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978484 OA
    Liu, J., Chi, Y., Zhu, C., Jin, Y.: A time series driven decomposed evolutionary optimization approach for reconstructing large-scale gene regulatory networks based on fuzzy cognitive maps. BMC Bioinformatics. 18, : 241 (2017).
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    2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978486
    Naik, N., Jenkins, P., Cooke, R., Ball, D., Foster, A., Jin, Y.: Augmented windows fuzzy firewall for preventing denial of service attack. 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). p. 1-6. IEEE (2017).
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    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978487
    Oh, H., Ramezan Shirazi, A., Sun, C., Jin, Y.: Bio-inspired self-organising multi-robot pattern formation: A review. Robotics and Autonomous Systems. 91, 83-100 (2017).
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    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978488
    Albukhanajer, W.A., Jin, Y., Briffa, J.A.: Classifier ensembles for image identification using multi-objective Pareto features. Neurocomputing. 238, 316-327 (2017).
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    2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978491
    Wang, H., Jin, Y.: Efficient nonlinear correlation detection for decomposed search in evolutionary multi-objective optimization. 2017 IEEE Congress on Evolutionary Computation (CEC). p. 649-656. IEEE (2017).
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    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978493
    Yao, G., Ding, Y., Jin, Y., Hao, K.: Endocrine-based coevolutionary multi-swarm for multi-objective workflow scheduling in a cloud system. Soft Computing. 21, 4309-4322 (2017).
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    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978494
    Cheng, R., Rodemann, T., Fischer, M., Olhofer, M., Jin, Y.: Evolutionary Many-Objective Optimization of Hybrid Electric Vehicle Control: From General Optimization to Preference Articulation. IEEE Transactions on Emerging Topics in Computational Intelligence. 1, 97-111 (2017).
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    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978496
    Zhang, X., Duan, F., Zhang, L., Cheng, F., Jin, Y., Tang, K.: Pattern Recommendation in Task-oriented Applications: A Multi-Objective Perspective [Application Notes]. IEEE Computational Intelligence Magazine. 12, 43-53 (2017).
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    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978497
    Tian, Y., Cheng, R., Zhang, X., Jin, Y.: PlatEMO: A MATLAB Platform for Evolutionary Multi-Objective Optimization [Educational Forum]. IEEE Computational Intelligence Magazine. 12, 73-87 (2017).
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    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978501
    Ye, X., Liu, S., Yin, Y., Jin, Y.: User-oriented many-objective cloud workflow scheduling based on an improved knee point driven evolutionary algorithm. Knowledge-Based Systems. 135, 113-124 (2017).
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    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978478
    Chugh, T., Chakraborti, N., Sindhya, K., Jin, Y.: A data-driven surrogate-assisted evolutionary algorithm applied to a many-objective blast furnace optimization problem. Materials and Manufacturing Processes. 32, 1172-1178 (2017).
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    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978475
    Sun, C., Jin, Y., Cheng, R., Ding, J., Zeng, J.: Surrogate-Assisted Cooperative Swarm Optimization of High-Dimensional Expensive Problems. IEEE Transactions on Evolutionary Computation. 21, 644-660 (2017).
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    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978473
    Wang, H., Jin, Y., Doherty, J.: Committee-Based Active Learning for Surrogate-Assisted Particle Swarm Optimization of Expensive Problems. IEEE Transactions on Cybernetics. 47, 2664-2677 (2017).
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    2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978485
    Yolcu, U., Jin, Y., Egrioglu, E.: An ensemble of single multiplicative neuron models for probabilistic prediction. 2016 IEEE Symposium Series on Computational Intelligence (SSCI). p. 1-8. IEEE (2016).
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    2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978490
    Hakanen, J., Chugh, T., Sindhya, K., Jin, Y., Miettinen, K.: Connections of reference vectors and different types of preference information in interactive multiobjective evolutionary algorithms. 2016 IEEE Symposium Series on Computational Intelligence (SSCI). p. 1-8. IEEE (2016).
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    2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978492
    Zhang, X., Tian, Y., Cheng, R., Jin, Y.: Empirical analysis of a tree-based efficient non-dominated sorting approach for many-objective optimization. 2016 IEEE Symposium Series on Computational Intelligence (SSCI). p. 1-8. IEEE (2016).
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    2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978502
    Cheng, R., Jin, Y., Olhofer, M., Sendhoff, B.: A Reference Vector Guided Evolutionary Algorithm for Many-Objective Optimization. IEEE Transactions on Evolutionary Computation. 20, 773-791 (2016).
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    2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978504
    Peng, X., Liu, K., Jin, Y.: A dynamic optimization approach to the design of cooperative co-evolutionary algorithms. Knowledge-Based Systems. 109, 174-186 (2016).
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    2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978505
    Tian, Y., Zhang, X., Cheng, R., Jin, Y.: A multi-objective evolutionary algorithm based on an enhanced inverted generational distance metric. 2016 IEEE Congress on Evolutionary Computation (CEC). p. 5222-5229. IEEE (2016).
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    2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978506
    Zhang, X., Tian, Y., Jin, Y.: Approximate non-dominated sorting for evolutionary many-objective optimization. Information Sciences. 369, 14-33 (2016).
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    2016 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978508
    Cheng, S., Liu, B., Shi, Y., Jin, Y., Li, B.: Evolutionary Computation and Big Data: Key Challenges and Future Directions. In: Tan, Y. and Shi, Y. (eds.) Data Mining and Big Data. Lecture Notes in Computer Science. p. 3-14. Springer International Publishing, Cham (2016).
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    2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978512
    Ding, Y., Zhang, T., Ren, L., Jin, Y., Hao, K., Chen, L.: Immune-inspired self-adaptive collaborative control allocation for multi-level stretching processes. Information Sciences. 342, 81-95 (2016).
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    2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978513
    He, H., Tiwari, A., Mehnen, J., Watson, T., Maple, C., Jin, Y., Gabrys, B.: Incremental information gain analysis of input attribute impact on RBF-kernel SVM spam detection. 2016 IEEE Congress on Evolutionary Computation (CEC). p. 1022-1029. IEEE (2016).
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    2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978514
    Yusoff, M.-H., Chrol-Cannon, J., Jin, Y.: Modeling neural plasticity in echo state networks for classification and regression. Information Sciences. 364-365, 184-196 (2016).
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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.: Reduction strategies for hierarchical multi-label classification in protein function prediction. BMC Bioinformatics. 17, : 373 (2016).
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    2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978518
    Jin, Y., Yang, C., Ding, J., Chai, T.: Reference point based prediction for evolutionary dynamic multiobjective optimization. 2016 IEEE Congress on Evolutionary Computation (CEC). p. 3769-3776. IEEE (2016).
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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.: Surrogate-Assisted Evolutionary Optimisation (SAEOpt'16) Chairs' Welcome & Organization. In: Friedrich, T. (ed.) Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion. p. 1265-1266. ACM, New York, NY, USA (2016).
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    2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978520
    He, H., Maple, C., Watson, T., Tiwari, A., Mehnen, J., Jin, Y., Gabrys, B.: The security challenges in the IoT enabled cyber-physical systems and opportunities for evolutionary computing & other computational intelligence. 2016 IEEE Congress on Evolutionary Computation (CEC). p. 1015-1021. IEEE (2016).
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    2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978521
    Brown, C., Jin, Y., Leach, M., Hodgson, M.: $$\mu $$ μ JADE: adaptive differential evolution with a small population. Soft Computing. 20, 4111-4120 (2016).
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    2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978515
    Carneiro, M.G., Zhao, L., Cheng, R., Jin, Y.: Network structural optimization based on swarm intelligence for highlevel classification. 2016 International Joint Conference on Neural Networks (IJCNN). p. 3737-3744. IEEE (2016).
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  • [137]
    2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978509
    Han, Y., Gong, D., Jin, Y., Pan, Q.-ke: Evolutionary multi-objective blocking lot-streaming flow shop scheduling with interval processing time. Applied Soft Computing. 42, 229-245 (2016).
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    2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978507
    Wang, H., Jin, Y., Jansen, J.O.: Data-Driven Surrogate-Assisted Multiobjective Evolutionary Optimization of a Trauma System. IEEE Transactions on Evolutionary Computation. 20, 939-952 (2016).
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    2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978510
    Sun, C., Jin, Y., Ding, J., Zeng, J., Neumann, F., Sutton, A.M.: Fitness Estimation Strategy Assisted Competitive Swarm Optimizer for High Dimensional Expensive Problems. In: Friedrich, T., Neumann, F., and Sutton, A.M. (eds.) Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion. p. 1277-1278. ACM, New York, NY, USA (2016).
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  • [134]
    2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978526
    Cheng, R., Jin, Y., Narukawa, K., Sendhoff, B.: A Multiobjective Evolutionary Algorithm Using Gaussian Process-Based Inverse Modeling. IEEE Transactions on Evolutionary Computation. 19, 838-856 (2015).
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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.: General chairs and program chairs message. 2015 Conference on Technologies and Applications of Artificial Intelligence (TAAI). p. 13-14. IEEE (2015).
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  • [132]
    2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978522
    Zhang, T., Jin, Y., Ding, Y., Hao, K.: A cytokine network-inspired cooperative control system for multi-stage stretching processes in fiber production. Soft Computing. 19, 1523-1540 (2015).
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  • [131]
    2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978523
    Wu, Y., Jin, Y., Liu, X.: A directed search strategy for evolutionary dynamic multiobjective optimization. Soft Computing. 19, 3221-3235 (2015).
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  • [130]
    2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978525
    Wang, D.-J., Liu, F., Wang, Y.-Z., Jin, Y.: A knowledge-based evolutionary proactive scheduling approach in the presence of machine breakdown and deterioration effect. Knowledge-Based Systems. 90, 70-80 (2015).
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  • [129]
    2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978527
    Cheng, R., Jin, Y.: A social learning particle swarm optimization algorithm for scalable optimization. Information Sciences. 291, 43-60 (2015).
    PUB | DOI | Download (ext.)
     
  • [128]
    2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978528
    Sun, C., Jin, Y., Zeng, J., Yu, Y.: A two-layer surrogate-assisted particle swarm optimization algorithm. Soft Computing. 19, 1461-1475 (2015).
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  • [127]
    2015 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978529
    Cheng, R., Jin, Y., Narukawa, K.: Adaptive Reference Vector Generation for Inverse Model Based Evolutionary Multiobjective Optimization with Degenerate and Disconnected Pareto Fronts. In: Gaspar-Cunha, A., Henggeler Antunes, C., and Coello, C.C. (eds.) Evolutionary Multi-Criterion Optimization. 8th International Conference, EMO 2015, Guimarães, Portugal, March 29 --April 1, 2015. Proceedings, Part I. Lecture Notes in Computer Science. 9018, p. 127-140. Springer International Publishing, Cham (2015).
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  • [126]
    2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978530
    Jin, Y., Ding, Y., Hao, K., Jin, Y.: An endocrine-based intelligent distributed cooperative algorithm for target tracking in wireless sensor networks. Soft Computing. 19, 1427-1441 (2015).
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  • [125]
    2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978532
    Rahman, T., Mahapatra, M., Laing, E., Jin, Y.: Evolutionary non-linear modelling for selecting vaccines against antigenically variable viruses. Bioinformatics. 31, 834-840 (2015).
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  • [124]
    2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978536
    Chrol-Cannon, J., Jin, Y.: Learning structure of sensory inputs with synaptic plasticity leads to interference. Frontiers in Computational Neuroscience. 9, (2015).
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  • [123]
    2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978537
    Gu, S., Cheng, R., Jin, Y.: Multi-objective ensemble generation. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery. 5, 234-245 (2015).
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  • [122]
    2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978538
    Huang, Y., Jin, Y., Ding, Y.: New performance indicators for robust optimization over time. 2015 IEEE Congress on Evolutionary Computation (CEC). p. 1380-1387. IEEE (2015).
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  • [121]
    2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978540
    Cheng, R., Olhofer, M., Jin, Y.: Reference vector based a posteriori preference articulation for evolutionary multiobjective optimization. 2015 IEEE Congress on Evolutionary Computation (CEC). p. 939-946. IEEE (2015).
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  • [120]
    2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978541
    Yang, B., Ding, Y., Jin, Y., Hao, K.: Self-organized swarm robot for target search and trapping inspired by bacterial chemotaxis. Robotics and Autonomous Systems. 72, 83-92 (2015).
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  • [119]
    2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978542
    Jin, Y.: Special issue on UKCI 2013. Soft Computing. 19, 1443-1444 (2015).
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  • [118]
    2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978543
    Albukhanajer, W.A., Jin, Y., Briffa, J.A.: Trade-off between computational complexity and accuracy in evolutionary image feature extraction. 2015 IEEE Congress on Evolutionary Computation (CEC). p. 2412-2419. IEEE (2015).
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  • [117]
    2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978524
    Zhang, X., Tian, Y., Jin, Y.: A Knee Point-Driven Evolutionary Algorithm for Many-Objective Optimization. IEEE Transactions on Evolutionary Computation. 19, 761-776 (2015).
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    2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978548
    Xue, S., Sun, C., Zeng, J., Jin, Y., Cheng, R.: Effect of Communication Modes to Swarm Robotic Search. The Open Electrical & Electronic Engineering Journal. 8, 240-244 (2014).
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  • [115]
    2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978533
    Gu, S., Jin, Y.: Generating diverse and accurate classifier ensembles using multi-objective optimization. 2014 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making (MCDM). p. 9-15. IEEE (2014).
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  • [114]
    2014 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978544
    Oh, H., Jin, Y.: Adaptive Swarm Robot Region Coverage Using Gene Regulatory Networks. In: Mistry, M., Leonardis, A., Witkowski, M., and Melhuish, C. (eds.) Advances in Autonomous Robotics Systems. Lecture Notes in Computer Science. p. 197-208. Springer International Publishing, Cham (2014).
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  • [113]
    2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978545
    Zhou, Z.-H., Chawla, N.V., Jin, Y., Williams, G.J.: Big Data Opportunities and Challenges: Discussions from Data Analytics Perspectives [Discussion Forum]. IEEE Computational Intelligence Magazine. 9, 62-74 (2014).
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  • [112]
    2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978546
    Chrol-Cannon, J., Jin, Y.: Computational modeling of neural plasticity for self-organization of neural networks. Biosystems. 125, 43-54 (2014).
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    2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978547
    Cheng, R., Jin, Y.: Demonstrator selection in a social learning particle swarm optimizer. 2014 IEEE Congress on Evolutionary Computation (CEC). p. 3103-3110. IEEE (2014).
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  • [110]
    2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978549
    Smith, C., Jin, Y.: Evolutionary multi-objective generation of recurrent neural network ensembles for time series prediction. Neurocomputing. 143, 302-311 (2014).
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  • [109]
    2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978551
    Jin, Y.: IEEE CIS VP-Technical Activities Vision Statement [Society Briefs]. IEEE Computational Intelligence Magazine. 9, 9-10 (2014).
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  • [108]
    2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978550
    Oh, H., Jin, Y.: Evolving hierarchical gene regulatory networks for morphogenetic pattern formation of swarm robots. 2014 IEEE Congress on Evolutionary Computation (CEC). p. 776-783. IEEE (2014).
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  • [107]
    2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978552
    Yusoff, M.-H., Jin, Y.: Modeling neural plasticity in echo state networks for time series prediction. 2014 14th UK Workshop on Computational Intelligence (UKCI). p. 1-7. IEEE (2014).
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  • [106]
    2014 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978553
    Ramezan Shirazi, A., Oh, H., Jin, Y.: Morphogenetic Self-Organization of Collective Movement without Directional Sensing. In: Mistry, M., Leonardis, A., Witkowski, M., and Melhuish, C. (eds.) Advances in Autonomous Robotics Systems. Lecture Notes in Computer Science. p. 139-150. Springer International Publishing, Cham (2014).
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    2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978554
    Smith, C., Doherty, J., Jin, Y.: Multi-objective evolutionary recurrent neural network ensemble for prediction of computational fluid dynamic simulations. 2014 IEEE Congress on Evolutionary Computation (CEC). p. 2609-2616. IEEE (2014).
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  • [104]
    2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978555
    Albukhanajer, W.A., Jin, Y., Briffa, J.A.: Neural network ensembles for image identification using Pareto-optimal features. 2014 IEEE Congress on Evolutionary Computation (CEC). p. 89-96. IEEE (2014).
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  • [103]
    2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978556 OA
    Chrol-Cannon, J., Jin, Y.: On the Correlation between Reservoir Metrics and Performance for Time Series Classification under the Influence of Synaptic Plasticity. PLoS ONE. 9, : e101792 (2014).
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    2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978557
    Thomas, S.A., Jin, Y.: Reconstructing biological gene regulatory networks: where optimization meets big data. Evolutionary Intelligence. 7, 29-47 (2014).
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    2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978558
    Liu, T., Sun, C., Zeng, J., Xue, S., Jin, Y.: Similarity- and reliability-assisted fitness estimation for particle swarm optimization of expensive problems. 2014 IEEE Congress on Evolutionary Computation (CEC). p. 640-646. IEEE (2014).
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  • [100]
    2013 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978559
    Albukhanajer, W.A., Jin, Y., Briffa, J.A., Williams, G.: A Comparative Study of Multi-objective Evolutionary Trace Transform Methods for Robust Feature Extraction. In: Purshouse, R.C., Fleming, P.J., Fonseca, C.M., Greco, S., and Shaw, J. (eds.) Evolutionary Multi-Criterion Optimization. Lecture Notes in Computer Science. p. 573-586. Springer Berlin Heidelberg, Berlin, Heidelberg (2013).
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  • [99]
    2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978560
    Jin, Y., Tang, K., Yu, X., Sendhoff, B., Yao, X.: A framework for finding robust optimal solutions over time. Memetic Computing. 5, 3-18 (2013).
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  • [98]
    2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978561
    Meng, Y., Guo, H., Jin, Y.: A morphogenetic approach to flexible and robust shape formation for swarm robotic systems. Robotics and Autonomous Systems. 61, 25-38 (2013).
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  • [97]
    2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978562
    Sun, C., Zeng, J., Pan, J., Xue, S., Jin, Y.: A new fitness estimation strategy for particle swarm optimization. Information Sciences. 221, 355-370 (2013).
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  • [96]
    2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978563
    Chen, J., Ding, Y., Jin, Y., Hao, K.: A synergetic immune clonal selection algorithm based multi-objective optimization method for carbon fiber drawing process. Fibers and Polymers. 14, 1722-1730 (2013).
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  • [95]
    2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978564
    Lu, J., Li, B., Jin, Y., Alba, E.: An evolution strategy assisted by an ensemble of local Gaussian process models. In: Blum, C. (ed.) Proceedings of the 15th annual conference on Genetic and evolutionary computation. p. 447-454. ACM, New York, NY, USA (2013).
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  • [94]
    2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978565
    Jia, G., Wang, Y., Cai, Z., Jin, Y.: An improved (μ+λ)-constrained differential evolution for constrained optimization. Information Sciences. 222, 302-322 (2013).
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  • [93]
    2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978566
    Le, M.N., Ong, Y.S., Menzel, S., Jin, Y., Sendhoff, B.: Evolution by Adapting Surrogates. Evolutionary Computation. 21, 313-340 (2013).
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  • [92]
    2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978567
    Chai, T., Jin, Y., Sendhoff, B.: Evolutionary Complex Engineering Optimization: Opportunities and Challenges [Guest Editorial]. IEEE Computational Intelligence Magazine. 8, 12-15 (2013).
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    2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978568
    Xiao, A., Wang, B., Jin, Y.: Evolutionary truss layout optimization using the vectorized structure approach. 2013 IEEE Congress on Evolutionary Computation. p. 2879-2886. IEEE (2013).
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  • [90]
    2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978569
    THOMAS, S.P.E.N.C.E.R.A.N.G.U.S., Jin, Y.: EVOLVING CONNECTIVITY BETWEEN GENETIC OSCILLATORS AND SWITCHES USING EVOLUTIONARY ALGORITHMS. Journal of Bioinformatics and Computational Biology. 11, : 1341001 (2013).
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  • [89]
    2013 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978571
    Zhuang, L., Tang, K., Jin, Y.: Metamodel Assisted Mixed-Integer Evolution Strategies Based on Kendall Rank Correlation Coefficient. In: Yin, H., Tang, K., Gao, Y., Klawonn, F., Lee, M., Weise, T., Li, B., and Yao, X. (eds.) Intelligent Data Engineering and Automated Learning – IDEAL 2013. Lecture Notes in Computer Science. p. 366-375. Springer Berlin Heidelberg, Berlin, Heidelberg (2013).
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    2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978572
    Thomas, S.A., Jin, Y., Laing, E., Smith, C.P.: Reconstructing regulatory networks in Streptomyces using evolutionary algorithms. 2013 13th UK Workshop on Computational Intelligence (UKCI). p. 24-30. IEEE (2013).
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    2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978573
    Smith, C., Doherty, J., Jin, Y.: Recurrent neural network ensembles for convergence prediction in surrogate-assisted evolutionary optimization. 2013 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments (CIDUE). p. 9-16. IEEE (2013).
    PUB | DOI | Download (ext.)
     
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    2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978575
    Cheng, R., Jin, Y.: Simulating swarm behaviuors for optimisation by learning from neighbours. 2013 13th UK Workshop on Computational Intelligence (UKCI). p. 82-87. IEEE (2013).
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    2013 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978576
    Thomas, S.A., Jin, Y.: Single and Multi-objective in Silico Evolution of Tunable Genetic Oscillators. In: Purshouse, R.C., Fleming, P.J., Fonseca, C.M., Greco, S., and Shaw, J. (eds.) Evolutionary Multi-Criterion Optimization. Lecture Notes in Computer Science. p. 696-709. Springer Berlin Heidelberg, Berlin, Heidelberg (2013).
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    2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978574
    Sun, C., Zeng, J., Pan, J., Jin, Y.: Similarity-based evolution control for fitness estimation in particle swarm optimization. Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments (CIDUE). p. 1-8. IEEE (2013).
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  • [83]
    2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978577
    Jin, Y.: 2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (IEEE CIBCB 2012) [Conference Reports]. IEEE Computational Intelligence Magazine. 7, 17-17 (2012).
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  • [82]
    2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978578
    Yin, J., Meng, Y., Jin, Y.: A Developmental Approach to Structural Self-Organization in Reservoir Computing. IEEE Transactions on Autonomous Mental Development. 4, 273-289 (2012).
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    2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978579
    Guo, H., Jin, Y., Meng, Y.: A morphogenetic framework for self-organized multirobot pattern formation and boundary coverage. ACM Transactions on Autonomous and Adaptive Systems. 7, 1-23 (2012).
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    2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978580
    Le, M.N., Ong, Y.S., Jin, Y., Sendhoff, B.: A Unified Framework for Symbiosis of Evolutionary Mechanisms with Application to Water Clusters Potential Model Design. IEEE Computational Intelligence Magazine. 7, 20-35 (2012).
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    2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978581
    Bush, D., Jin, Y.: Calcium control of triphasic hippocampal STDP. Journal of Computational Neuroscience. 33, 495-514 (2012).
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    2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978582
    Thomas, S.A., Jin, Y.: Combining genetic oscillators and switches using evolutionary algorithms. 2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB). p. 28-34. IEEE (2012).
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    2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978583
    Doncieux, S., Jin, Y., Mouret, J.-B., Moore, J.H.: Evo-devo-robo workshop program. In: Soule, T. (ed.) Proceedings of the 14th annual conference companion on Genetic and evolutionary computation. p. 355-356. ACM, New York, NY, USA (2012).
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    2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978584
    Schramm, L., Jin, Y., Sendhoff, B.: Evolution and Analysis of Genetic Networks for Stable Cellular Growth and Regeneration. Artificial Life. 18, 425-444 (2012).
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  • [75]
    2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978585
    Albukhanajer, W.A., Jin, Y., Briffa, J.A., Williams, G.: Evolutionary multi-objective optimization of trace transform for invariant feature extraction. 2012 IEEE Congress on Evolutionary Computation. p. 1-8. IEEE (2012).
    PUB | DOI | Download (ext.)
     
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    2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978586
    Gu, S., Jin, Y.: Heterogeneous classifier ensembles for EEG-based motor imaginary detection. 2012 12th UK Workshop on Computational Intelligence (UKCI). p. 1-8. IEEE (2012).
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    2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978587
    Schramm, L., Jin, Y., Sendhoff, B.: Quantitative analysis of redundancy in evolution of developmental systems. 2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB). p. 61-68. IEEE (2012).
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    2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978588
    Chrol-Cannon, J., Gruning, A., Jin, Y.: The emergence of polychronous groups under varying input patterns, plasticity rules and network connectivities. The 2012 International Joint Conference on Neural Networks (IJCNN). p. 1-6. IEEE (2012).
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  • [71]
    2011 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978589
    Meng, Y., Guo, H., Jin, Y.: A Multi-cellular Based Self-organizing Approach for Distributed Multi-Robot Systems. In: Doncieux, S., Bredèche, N., and Mouret, J.-B. (eds.) New Horizons in Evolutionary Robotics. Studies in Computational Intelligence. p. 123-137. Springer Berlin Heidelberg, Berlin, Heidelberg (2011).
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    2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978590
    Meng, Y., Zhang, Y., Jin, Y.: Autonomous Self-Reconfiguration of Modular Robots by Evolving a Hierarchical Mechanochemical Model. IEEE Computational Intelligence Magazine. 6, 43-54 (2011).
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    2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978591
    Meng, Y., Zhang, Y., Sampath, A., Jin, Y., Sendhoff, B.: Cross-Ball: A new morphogenetic self-reconfigurable modular robot. 2011 IEEE International Conference on Robotics and Automation. p. 267-272. IEEE (2011).
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  • [68]
    2011 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978592
    Schramm, L., Jin, Y., Sendhoff, B.: Emerged Coupling of Motor Control and Morphological Development in Evolution of Multi-cellular Animats. In: Kampis, G., Karsai, I., and Szathmáry, E. (eds.) Advances in Artificial Life. Darwin Meets von Neumann. Lecture Notes in Computer Science. p. 27-34. Springer Berlin Heidelberg, Berlin, Heidelberg (2011).
    PUB | DOI | Download (ext.)
     
  • [67]
    2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978594
    Jin, Y., Meng, Y., Weng, J., Kasabov, N.: Guest Editorial Special Issue on Computational Modeling of Neural and Brain Development. IEEE Transactions on Autonomous Mental Development. 3, 273-275 (2011).
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  • [66]
    2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978593
    Jin, Y., Meng, Y.: Emergence of robust regulatory motifs from in silico evolution of sustained oscillation. Biosystems. 103, 38-44 (2011).
    PUB | DOI | Download (ext.)
     
  • [65]
    2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978595
    Tyrrell, A.M., Jin, Y.: Guest Editorial: Special Issue on Evolving Developmental Systems. IEEE Transactions on Evolutionary Computation. 15, 285-286 (2011).
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  • [64]
    2011 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978596
    Jin, Y., Meng, Y.: Morphogenetic Robotics - An Evolutionary Developmental Approach to Morphological and Neural Self-Organization of Robotic Systems. In: Meng, Y. and Jin, Y. (eds.) Bio-Inspired Self-Organizing Robotic Systems. Studies in Computational Intelligence. p. 3-23. Springer Berlin Heidelberg, Berlin, Heidelberg (2011).
    PUB | DOI | Download (ext.)
     
  • [63]
    2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978597
    Jin, Y., Meng, Y.: Morphogenetic Robotics: An Emerging New Field in Developmental Robotics. IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews). 41, 145-160 (2011).
    PUB | DOI | Download (ext.)
     
  • [62]
    2011 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978598
    Meng, Y., Jin, Y.: Morphogenetic Self-Reconfiguration of Modular Robots. In: Meng, Y. and Jin, Y. (eds.) Bio-Inspired Self-Organizing Robotic Systems. Studies in Computational Intelligence. p. 143-171. Springer Berlin Heidelberg, Berlin, Heidelberg (2011).
    PUB | DOI | Download (ext.)
     
  • [61]
    2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978599
    Liu, M., Zhang, S., Jin, Y.: Multi-sensor optimal fusion filters for delayed nonlinear intelligent systems based on a unified model. Neural Networks. 24, 280-290 (2011).
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  • [60]
    2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978600
    Zheng, Y., Meng, Y., Jin, Y.: Object recognition using a bio-inspired neuron model with bottom-up and top-down pathways. Neurocomputing. 74, 3158-3169 (2011).
    PUB | DOI | Download (ext.)
     
  • [59]
    2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978601
    Schramm, L., Jin, Y., Sendhoff, B.: Redundancy creates opportunity in developmental representations. 2011 IEEE Symposium on Artificial Life (ALIFE). p. 203-210. IEEE (2011).
    PUB | DOI | Download (ext.)
     
  • [58]
    2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978602
    Gehrmann, E., Gläßer, C., Jin, Y., Sendhoff, B., Drossel, B., Hamacher, K.: Robustness of glycolysis in yeast to internal and external noise. Physical Review E. 84, : 021913 (2011).
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  • [57]
    2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978603
    Jin, Y.: Surrogate-assisted evolutionary computation: Recent advances and future challenges. Swarm and Evolutionary Computation. 1, 61-70 (2011).
    PUB | DOI | Download (ext.)
     
  • [56]
    2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978604
    Guo, H., Meng, Y., Jin, Y.: Swarm robot pattern formation using a morphogenetic multi-cellular based self-organizing algorithm. 2011 IEEE International Conference on Robotics and Automation. p. 3205-3210. IEEE (2011).
    PUB | DOI | Download (ext.)
     
  • [55]
    2011 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978605
    Jones, B., Jin, Y., Sendhoff, B., Yao, X.: The Effect of Proprioceptive Feedback on the Distribution of Sensory Information in a Model of an Undulatory Organism. In: Kampis, G., Karsai, I., and Szathmáry, E. (eds.) Advances in Artificial Life. Darwin Meets von Neumann. Lecture Notes in Computer Science. p. 18-26. Springer Berlin Heidelberg, Berlin, Heidelberg (2011).
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  • [54]
    2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978606
    Jin, Y., Trommler, J.: A fitness-independent evolvability measure for evolutionary developmental systems. 2010 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology. p. 1-8. IEEE (2010).
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  • [53]
    2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978607
    Jin, Y., Meng, Y., Guo, H.: A morphogenetic self-organization algorithm for swarm robotic systems using relative position information. 2010 UK Workshop on Computational Intelligence (UKCI). p. 1-6. IEEE (2010).
    PUB | DOI | Download (ext.)
     
  • [52]
    2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978608
    Guo, H., Meng, Y., Jin, Y.: Analysis of local communication load in shape formation of a distributed morphogenetic swarm robotic system. IEEE Congress on Evolutionary Computation. p. 1-8. IEEE (2010).
    PUB | DOI | Download (ext.)
     
  • [51]
    2010 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978609
    Jones, B., Jin, Y., Sendhoff, B., Yao, X.: Emergent Distribution of Computational Workload in the Evolution of an Undulatory Animat. In: Doncieux, S., Girard, B., Guillot, A., Hallam, J., Meyer, J.-A., and Mouret, J.-B. (eds.) From Animals to Animats 11. Lecture Notes in Computer Science. p. 587-596. Springer Berlin Heidelberg, Berlin, Heidelberg (2010).
    PUB | DOI | Download (ext.)
     
  • [50]
    2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978610
    Steiner, T., Jin, Y., Sendhoff, B., Pelikan, M., Branke, J.: Evolving heterochrony for cellular differentiation using vector field embryogeny. Proceedings of the 12th annual conference on Genetic and evolutionary computation. p. 571-578. ACM, New York, NY, USA (2010).
    PUB | DOI | Download (ext.)
     
  • [49]
    2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978611
    Zheng, Y., Meng, Y., Jin, Y.: Fusing bottom-up and top-down pathways in neural networks for visual object recognition. The 2010 International Joint Conference on Neural Networks (IJCNN). p. 1-8. IEEE (2010).
    PUB | DOI | Download (ext.)
     
  • [48]
    2010 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978612
    Jin, Y., Meng, Y.: Special Issue on Evolutionary and Developmental Robotics [Guest Editorial. IEEE Computational Intelligence Magazine. 5, 9-9 (2010).
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  • [47]
    2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978613
    Meng, Y., Jin, Y., Yin, J., Conforth, M.: Human activity detection using spiking neural networks regulated by a gene regulatory network. The 2010 International Joint Conference on Neural Networks (IJCNN). p. 1-6. IEEE (2010).
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  • [46]
    2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978615
    Jin, Y., Oh, S., Jeon, M.: Incremental approximation of nonlinear constraint functions for evolutionary constrained optimization. IEEE Congress on Evolutionary Computation. p. 1-8. IEEE (2010).
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  • [45]
    2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978617
    Yu, X., Jin, Y., Tang, K., Yao, X.: Robust optimization over time — A new perspective on dynamic optimization problems. IEEE Congress on Evolutionary Computation. p. 1-6. IEEE (2010).
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  • [44]
    2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978618
    Guo, H., Meng, Y., Jin, Y.: A cellular mechanism for multi-robot construction via evolutionary multi-objective optimization of a gene regulatory network. Biosystems. 98, 193-203 (2009).
    PUB | DOI | Download (ext.)
     
  • [43]
    2009 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978619
    Jin, Y., Schramm, L., Sendhoff, B.: A Gene Regulatory Model for the Development of Primitive Nervous Systems. In: Köppen, M., Kasabov, N., and Coghill, G. (eds.) Advances in Neuro-Information Processing. 15th International Conference, ICONIP 2008, Auckland, New Zealand, November 25-28, 2008, Revised Selected Papers, Part I. Lecture Notes in Computer Science. p. 48-55. Springer Berlin Heidelberg, Berlin, Heidelberg (2009).
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  • [42]
    2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978620
    Jin, Y., Sendhoff, B.: A systems approach to evolutionary multiobjective structural optimization and beyond. IEEE Computational Intelligence Magazine. 4, 62-76 (2009).
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  • [41]
    2009 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978621
    Okabe, T., Jin, Y., Sendhoff, B.: Combination of Genetic Algorithms and Evolution Strategies with Self-adaptive Switching. In: Goh, C.-K., Ong, Y.-S., and Tan, K.C. (eds.) Multi-Objective Memetic Algorithms. Studies in Computational Intelligence. p. 281-307. Springer Berlin Heidelberg, Berlin, Heidelberg (2009).
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  • [40]
    2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978622
    Jin, Y., Sendhoff, B.: 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, 373-373 (2009).
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  • [39]
    2009 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978623
    Jones, B., Jin, Y., Yao, X., Sendhoff, B.: Evolution of Neural Organization in a Hydra-Like Animat. In: Köppen, M., Kasabov, N., and Coghill, G. (eds.) Advances in Neuro-Information Processing. 15th International Conference, ICONIP 2008, Auckland, New Zealand, November 25-28, 2008, Revised Selected Papers, Part I. Lecture Notes in Computer Science. p. 216-223. Springer Berlin Heidelberg, Berlin, Heidelberg (2009).
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  • [38]
    2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978624
    Jin, Y., Gruna, R., Paenke, I., Sendhoff, B.: Evolutionary multi-objective optimization of robustness and innovation in redundant genetic representations. 2009 IEEE Symposium on Computational Intelligence in Milti-Criteria Decision-Making. p. 38-45. IEEE (2009).
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  • [37]
    2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978625
    Jin, Y., Hallinan, J.: Evolving gene regulatory networks. Biosystems. 98, vi-vii (2009).
    PUB | DOI | Download (ext.)
     
  • [36]
    2009 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978626
    Jin, Y., Sendhoff, B.: Fuzzy Logic in Evolving in silico Oscillatory Dynamics for Gene Regulatory Networks. In: Jin, Y. and Wang, L. (eds.) Fuzzy Systems in Bioinformatics and Computational Biology. Studies in Fuzziness and Soft Computing. p. 315-327. Springer Berlin Heidelberg, Berlin, Heidelberg (2009).
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  • [35]
    2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978627
    Steiner, T., Trommler, J., Brenn, M., Jin, Y., Sendhoff, B.: Global shape with morphogen gradients and motile polarized cells. 2009 IEEE Congress on Evolutionary Computation. p. 2225-2232. IEEE (2009).
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  • [34]
    2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978628
    Jin, Y., Meng, Y., Sendhoff, B.: Influence of regulation logic on the easiness of evolving sustained oscillation for gene regulatory networks. 2009 IEEE Symposium on Artificial Life. p. 61-68. IEEE (2009).
    PUB | DOI | Download (ext.)
     
  • [33]
    2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978629
    Le, M.N., Ong, Y.-S., Jin, Y., Sendhoff, B.: Lamarckian memetic algorithms: local optimum and connectivity structure analysis. Memetic Computing. 1, 175-190 (2009).
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  • [32]
    2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978630
    Meeter, M., Veldkamp, R., Jin, Y.: Multiple memory stores and operant conditioning: A rationale for memory’s complexity. Brain and Cognition. 69, 200-208 (2009).
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  • [31]
    2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978631
    Jin, Y., Gruna, R., Sendhoff, B.: Pareto analysis of evolutionary and learning systems. Frontiers of Computer Science in China. 3, 4-17 (2009).
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  • [30]
    2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978632
    Jin, Y., Guo, H., Meng, Y.: Robustness Analysis and Failure Recovery of a Bio-Inspired Self-Organizing Multi-Robot System. 2009 Third IEEE International Conference on Self-Adaptive and Self-Organizing Systems. p. 154-164. IEEE (2009).
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  • [29]
    2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978633
    Guo, H., Meng, Y., Jin, Y.: Self-adaptive multi-robot construction using gene regulatory networks. 2009 IEEE Symposium on Artificial Life. p. 53-60. IEEE (2009).
    PUB | DOI | Download (ext.)
     
  • [28]
    2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978634 OA
    Steiner, T., Jin, Y., Sendhoff, B.: Vector Field Embryogeny. PLoS ONE. 4, : e8177 (2009).
    PUB | PDF | DOI | Download (ext.)
     
  • [27]
    2008 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978636
    Zhou, A., Zhang, Q., Jin, Y., Sendhoff, B.: Combination of EDA and DE for continuous biobjective optimization. 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence). p. 1447-1454. IEEE (2008).
    PUB | DOI | Download (ext.)
     
  • [26]
    2008 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978637
    Zhang, Q., Zhou, A., Jin, Y.: Errata to “RM-MEDA: A Regularity Model-Based Multiobjective Estimation of Distribution Algorithm” [Feb 08 41-63]. IEEE Transactions on Evolutionary Computation. 12, 392-392 (2008).
    PUB | DOI | Download (ext.)
     
  • [25]
    2008 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978638
    Lim, D., Ong, Y.-S., Jin, Y., Sendhoff, B.: Evolutionary Optimization with Dynamic Fidelity Computational Models. In: Huang, D.-S., Wunsch, D.C., Levine, D.S., and Jo, K.-H. (eds.) 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. Lecture Notes in Computer Science. p. 235-242. Springer Berlin Heidelberg, Berlin, Heidelberg (2008).
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  • [24]
    2008 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978639
    Jin, Y., Sendhoff, B., Körner, E.: Rule Extraction from Compact Pareto-optimal Neural Networks. In: Ghosh, A., Dehuri, S., and Ghosh, S. (eds.) Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases. Studies in Computational Intelligence. p. 71-90. Springer Berlin Heidelberg, Berlin, Heidelberg (2008).
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  • [23]
    2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978640
    Lim, D., Ong, Y.-S., Jin, Y., Sendhoff, B., Lipson, H.: A study on metamodeling techniques, ensembles, and multi-surrogates in evolutionary computation. Proceedings of the 9th annual conference on Genetic and evolutionary computation. p. 1288-1295. ACM, New York, NY, USA (2007).
    PUB | DOI | Download (ext.)
     
  • [22]
    2007 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978641
    Lim, D., Ong, Y.-S., Jin, Y., Sendhoff, B., Lee, B.-S.: Efficient Hierarchical Parallel Genetic Algorithms using Grid computing. Future Generation Computer Systems. 23, 658-670 (2007).
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  • [21]
    2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978642
    Steiner, T., Schramm, L., Jin, Y., Sendhoff, B.: Emergence of feedback in artificial gene regulatory networks. 2007 IEEE Congress on Evolutionary Computation. p. 867-874. IEEE (2007).
    PUB | DOI | Download (ext.)
     
  • [20]
    2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978643
    Zhou, A., Zhang, Q., Jin, Y., Sendhoff, B., Tsang, E., Lipson, H.: Global multiobjective optimization via estimation of distribution algorithm with biased initialization and crossover. Proceedings of the 9th annual conference on Genetic and evolutionary computation. p. 617-623. ACM, New York, NY, USA (2007).
    PUB | DOI | Download (ext.)
     
  • [19]
    2007 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978644
    Gräning, L., Jin, Y., Sendhoff, B.: Individual-based Management of Meta-models for Evolutionary Optimization with Application to Three-Dimensional Blade Optimization. In: Yang, S., Ong, Y.-S., and Jin, Y. (eds.) Evolutionary Computation in Dynamic and Uncertain Environments. Studies in Computational Intelligence. p. 225-250. Springer Berlin Heidelberg, Berlin, Heidelberg (2007).
    PUB | DOI | Download (ext.)
     
  • [18]
    2007 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978645
    Lim, D., Ong, Y.-S., Lim, M.-H., Jin, Y.: Single/Multi-objective Inverse Robust Evolutionary Design Methodology in the Presence of Uncertainty. In: Yang, S., Ong, Y.-S., and Jin, Y. (eds.) Evolutionary Computation in Dynamic and Uncertain Environments. Studies in Computational Intelligence. p. 437-456. Springer Berlin Heidelberg, Berlin, Heidelberg (2007).
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  • [17]
    2006 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978646
    Wang, H., Kwong, S., Jin, Y., Tsang , C.-H.: Agent Based Multi-Objective Approach to Generating Interpretable Fuzzy Systems. In: Jin, Y. (ed.) Multi-Objective Machine Learning. Studies in Computational Intelligence. p. 339-364. Springer-Verlag, Berlin/Heidelberg (2006).
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  • [16]
    2006 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978647
    Yang, S., Ong, Y.-S., Jin, Y.: Editorial to special issue on evolutionary computation in dynamic and uncertain environments. Genetic Programming and Evolvable Machines. 7, 293-294 (2006).
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  • [15]
    2006 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978648
    Branke, J., Jin, Y.: Guest Editorial Special Issue on Evolutionary Computation in the Presence of Uncertainty. IEEE Transactions on Evolutionary Computation. 10, 377-379 (2006).
    PUB | DOI | Download (ext.)
     
  • [14]
    2006 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978649
    Lim, D., Ong, Y.-S., Jin, Y., Sendhoff, B., Lee, B.S.: Inverse multi-objective robust evolutionary design. Genetic Programming and Evolvable Machines. 7, 383-404 (2006).
    PUB | DOI | Download (ext.)
     
  • [13]
    2006 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978650
    Foli, K., Okabe, T., Olhofer, M., Jin, Y., Sendhoff, B.: Optimization of micro heat exchanger: CFD, analytical approach and multi-objective evolutionary algorithms. International Journal of Heat and Mass Transfer. 49, 1090-1099 (2006).
    PUB | DOI | Download (ext.)
     
  • [12]
    2006 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978651
    Jin, Y., Sendhoff, B., Körner, E.: Simultaneous Generation of Accurate and Interpretable Neural Network Classifiers. In: Jin, Y. (ed.) Multi-Objective Machine Learning. Studies in Computational Intelligence. p. 289-312. Springer-Verlag, Berlin/Heidelberg (2006).
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  • [11]
    2005 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978652
    Wang, H., Kwong, S., Jin, Y., Wei, W., Man, K.-F.: Agent-Based Evolutionary Approach for Interpretable Rule-Based Knowledge Extraction. IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews). 35, 143-155 (2005).
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  • [10]
    2005 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978653
    Jin, Y., Branke, J.: Evolutionary Optimization in Uncertain Environments—A Survey. IEEE Transactions on Evolutionary Computation. 9, 303-317 (2005).
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  • [9]
    2005 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978654
    Jin, Y.: 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, 129-130 (2005).
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  • [8]
    2005 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978655
    Wang, H., Kwong, S., Jin, Y., Wei, W., Man, K.F.: Multi-objective hierarchical genetic algorithm for interpretable fuzzy rule-based knowledge extraction. Fuzzy Sets and Systems. 149, 149-186 (2005).
    PUB | DOI | Download (ext.)
     
  • [7]
    2004 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978656
    Jin, Y., Sendhoff, B.: Reducing Fitness Evaluations Using Clustering Techniques and Neural Network Ensembles. In: Deb, K. (ed.) Genetic and Evolutionary Computation – GECCO 2004. Genetic and Evolutionary Computation Conference, Seattle, WA, USA, June 26-30, 2004. Proceedings, Part I. Lecture Notes in Computer Science. 3102, p. 688-699. Springer, Berlin, Heidelberg (2004).
    PUB | DOI
     
  • [6]
    2003 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978657
    Jin, Y., Okabe, T., Sendhoff, B.: Solving Three-Objective Optimization Problems Using Evolutionary Dynamic Weighted Aggregation: Results and Analysis. In: Cantú-Paz, E., Foster, J.A., Deb, K., Davis, L.D., Roy, R., O’Reilly, U.-M., Beyer, H.-G., Standish, R., Kendall, G., Wilson, S., Harman, M., Wegener, J., Dasgupta, D., Potter, M.A., Schultz, A.C., Dowsland, K.A., Jonoska, N., and Miller, J. (eds.) Genetic and Evolutionary Computation — GECCO 2003. Lecture Notes in Computer Science. p. 636-637. Springer Berlin Heidelberg, Berlin, Heidelberg (2003).
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  • [5]
    2003 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978658
    Jin, Y., Sendhoff, B.: Trade-Off between Performance and Robustness: An Evolutionary Multiobjective Approach. In: Fonseca, C.M., Fleming, P.J., Zitzler, E., Thiele, L., and Deb, K. (eds.) Evolutionary Multi-Criterion Optimization. Lecture Notes in Computer Science. p. 237-251. Springer Berlin Heidelberg, Berlin, Heidelberg (2003).
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  • [4]
    2000 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978659
    Jin, Y.: Fuzzy modeling of high-dimensional systems: complexity reduction and interpretability improvement. IEEE Transactions on Fuzzy Systems. 8, 212-221 (2000).
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  • [3]
    1999 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978660
    Jin, Y., von Seelen, W.: Evaluating flexible fuzzy controllers via evolution strategies. Fuzzy Sets and Systems. 108, 243-252 (1999).
    PUB | DOI | Download (ext.)
     
  • [2]
    1995 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978661
    Jin, Y., Jiang, J., Zhu, J.: Adaptive fuzzy modelling and identification with its applications. International Journal of Systems Science. 26, 197-212 (1995).
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  • [1]
    1995 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978684
    Jin, Y., Jiang, J., Zhu, J.: Neural network based fuzzy identification and its application to modeling and control of complex systems. IEEE Transactions on Systems, Man, and Cybernetics. 25, 990-997 (1995).
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