442 Publikationen

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  • [442]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2988584
    M. Tian, M. Chen, W. Du, Y. Tang, and Y. Jin, “An Enhanced Differential Grouping Method for Large-Scale Overlapping Problems”, IEEE Transactions on Evolutionary Computation, 2024, 1-1.
    PUB | DOI
     
  • [441]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2988508
    B. Huang, R. Cheng, Z. Li, Y. Jin, and K. C. Tan, “EvoX: A Distributed GPU-Accelerated Framework for Scalable Evolutionary Computation”, IEEE Transactions on Evolutionary Computation, 2024, 1-1.
    PUB | DOI
     
  • [440]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2988180
    F. Ming, W. Gong, L. Wang, and Y. Jin, “Constrained Multi-Objective Optimization With Deep Reinforcement Learning Assisted Operator Selection”, IEEE/CAA Journal of Automatica Sinica, 2024, 11, 919-931.
    PUB | DOI | WoS
     
  • [439]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2986532
    F. Ming, W. Gong, and Y. Jin, “Even Search in a Promising Region for Constrained Multi-Objective Optimization”, IEEE/CAA Journal of Automatica Sinica, 2024, 11, 474-486.
    PUB | DOI | WoS
     
  • [438]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2988376
    W. Fang, W. Du, R. He, Y. Tang, Y. Jin, and G. G. Yen, “Diffusion Model-Based Multiobjective Optimization for Gasoline Blending Scheduling”, IEEE Computational Intelligence Magazine, 2024, 19, 61-76.
    PUB | DOI
     
  • [437]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2988289
    F. Ming, W. Gong, and Y. Jin, “Growing Neural Gas Network-based surrogate-assisted Pareto set learning for multimodal multi-objective optimization”, Swarm and Evolutionary Computation, 2024, 87, : 101541.
    PUB | DOI
     
  • [436]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2988280
    Z. Wang, H. Wang, C. Tian, and Y. Jin, “Efficient adversarial training with multi-fidelity optimization for robust neural network”, Neurocomputing, 2024, : 127627.
    PUB | DOI
     
  • [435]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2988267
    W. Zhang, W. Du, W. Du, R. He, and Y. Jin, “Large-Scale Continuous-Time Crude Oil Scheduling: A Variable-Length Evolutionary Optimization Approach”, IEEE Transactions on Automation Science and Engineering, 2024, 1-16.
    PUB | DOI
     
  • [434]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2982949
    N. Li, L. Ma, G. Yu, B. Xue, M. Zhang, and Y. Jin, “Survey on Evolutionary Deep Learning: Principles, Algorithms, Applications, and Open Issues”, ACM Computing Surveys, 2024, 56, 1-34.
    PUB | DOI | WoS
     
  • [433]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2988102
    X. Chen, R. Bai, R. Qu, J. Dong, and Y. Jin, “Deep Reinforcement Learning Assisted Genetic Programming Ensemble Hyper-Heuristics for Dynamic Scheduling of Container Port Trucks”, IEEE Transactions on Evolutionary Computation, 2024, 1-1.
    PUB | DOI
     
  • [432]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2988103
    H. Wu, Y. Jin, K. Gao, J. Ding, and R. Cheng, “Surrogate-Assisted Evolutionary Multi-Objective Optimization of Medium-Scale Problems by Random Grouping and Sparse Gaussian Modeling”, IEEE Transactions on Emerging Topics in Computational Intelligence, 2024, 1-16.
    PUB | DOI
     
  • [431]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2988030
    L. Pan, J. Lin, H. Wang, C. He, K. C. Tan, and Y. Jin, “Computationally Expensive High-Dimensional Multiobjective Optimization via Surrogate-Assisted Reformulation and Decomposition”, IEEE Transactions on Evolutionary Computation, 2024, 1-1.
    PUB | DOI
     
  • [430]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2987810
    X. Tan, C. Qu, J. Xiong, J. Zhang, X. Qiu, and Y. Jin, “Model-Based Off-Policy Deep Reinforcement Learning With Model-Embedding”, IEEE Transactions on Emerging Topics in Computational Intelligence, 2024, 1-13.
    PUB | DOI
     
  • [429]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2987559
    S. Liu, X. Yan, and Y. Jin, “An edge-aware graph autoencoder trained on scale-imbalanced data for traveling salesman problems”, Knowledge-Based Systems, 2024, : 111559.
    PUB | DOI
     
  • [428]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2987549
    L. Wu, Y. Jin, Y. Yan, and K. Hao, “FL-OTCSEnc: Towards secure federated learning with deep compressed sensing”, Knowledge-Based Systems, 2024, 291, : 111534.
    PUB | DOI
     
  • [427]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2987476
    F. Qian, Y. Jin, X. Yu, Y. Tang, and G. B. Marin, “Guest Editorial Special Issue on Learning Theories and Methods With Application to Digitized Process Manufacturing”, IEEE Transactions on Neural Networks and Learning Systems, 2024, 35, 2914-2916.
    PUB | DOI
     
  • [426]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2987419
    H. Wu, Q. Chen, Y. Jin, J. Ding, and T. Chai, “A Surrogate-Assisted Expensive Constrained Multi-Objective Optimization Algorithm Based on Adaptive Switching of Acquisition Functions”, IEEE Transactions on Emerging Topics in Computational Intelligence, 2024, 1-15.
    PUB | DOI
     
  • [425]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2987288
    G. Xie, J. Wang, J. Liu, J. Lyu, Y. Liu, C. Wang, F. Zheng, and Y. Jin, “IM-IAD: Industrial Image Anomaly Detection Benchmark in Manufacturing”, IEEE Transactions on Cybernetics, 2024, 1-14.
    PUB | DOI
     
  • [424]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2987055
    Z. Yang, J. Zhang, Y. Jiang, and Y. Jin, “An Energy-Efficient Convolution-Based Partitioned Collaborative Perception Algorithm for Large-Scale IoT Services”, IEEE Transactions on Industrial Informatics, 2024, 1-10.
    PUB | DOI
     
  • [423]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2987054
    P. Yue, Y. Jin, X. Dai, Z. Feng, and D. Cui, “Reinforcement Learning for Scalable Train Timetable Rescheduling With Graph Representation”, IEEE Transactions on Intelligent Transportation Systems, 2024, 1-14.
    PUB | DOI
     
  • [422]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2986971
    J. Luo, Y. Dong, Q. Liu, Z. Zhu, W. Cao, K. C. Tan, and Y. Jin, “A New Multitask Joint Learning Framework for Expensive Multi-Objective Optimization Problems”, IEEE Transactions on Emerging Topics in Computational Intelligence, 2024, 1-16.
    PUB | DOI
     
  • [421]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2986970
    Z. Song, H. Wang, B. Xue, M. Zhang, and Y. Jin, “Balancing Objective Optimization and Constraint Satisfaction in Expensive Constrained Evolutionary Multi-Objective Optimization”, IEEE Transactions on Evolutionary Computation, 2024, 1-1.
    PUB | DOI
     
  • [420]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2986969
    Y. Liu, J. Liu, J. Ding, S. Yang, and Y. Jin, “A Surrogate-Assisted Differential Evolution with Knowledge Transfer for Expensive Incremental Optimization Problems”, IEEE Transactions on Evolutionary Computation, 2024, 1-1.
    PUB | DOI
     
  • [419]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2986078 OA
    J. Liu, G. Xie, J. Wang, S. Li, C. Wang, F. Zheng, and Y. Jin, “Deep Industrial Image Anomaly Detection: A Survey”, Machine Intelligence Research, 2024, 21, 104-135.
    PUB | PDF | DOI | WoS
     
  • [418]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2986574
    X. Qiu, J. Qian, H. Wang, X. Tan, and Y. Jin, “An attentive Copula-based spatio-temporal graph model for multivariate time-series forecasting”, Applied Soft Computing, 2024, : 111324.
    PUB | DOI
     
  • [417]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2986443
    W. Zhang, W. Du, G. Yu, R. He, W. Du, and Y. Jin, “Knowledge-Assisted Dual-Stage Evolutionary Optimization of Large-Scale Crude Oil Scheduling”, IEEE Transactions on Emerging Topics in Computational Intelligence, 2024, 1-15.
    PUB | DOI
     
  • [416]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2985956
    Y. Jin, “CIS-ing in an Uncertain World [President's Message]”, IEEE Computational Intelligence Magazine, 2024, 19, 4-5.
    PUB | DOI
     
  • [415]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2983805
    G. Xie, Y. Huang, J. Wang, J. Lyu, F. Zheng, Y. Zheng, and Y. Jin, “Cross-modality Neuroimage Synthesis: A Survey”, ACM Computing Surveys, 2024, 56, 1-28.
    PUB | DOI | WoS
     
  • [414]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2983299
    T. Zhang, H. Wang, B. Yuan, Y. Jin, and X. Yao, “Surrogate-Assisted Evolutionary -Learning for Black-Box Dynamic Time-Linkage Optimization Problems”, IEEE Transactions on Evolutionary Computation, 2023, 27, 1162-1176.
    PUB | DOI | WoS
     
  • [413]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2979758 OA
    X. Yan, Y. Jin, X. Ke, and Z. Hao, “Multi-task evolutionary optimization of multi-echelon location routing problems via a hierarchical fuzzy graph”, Complex & Intelligent Systems, 2023, 9.
    PUB | PDF | DOI | WoS
     
  • [412]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2980780 OA
    G. Xie, J. Wang, G. Yu, J. Lyu, F. Zheng, and Y. Jin, “Tiny adversarial multi-objective one-shot neural architecture search”, Complex & Intelligent Systems, 2023, 9.
    PUB | PDF | DOI | Download (ext.) | WoS
     
  • [411]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2983718
    T. Lei, Y. Xu, H. Ning, Z. Lv, C. Min, Y. Jin, and A. K. Nandi, “Lightweight Structure-aware Transformer Network for Remote Sensing Image Change Detection”, IEEE Geoscience and Remote Sensing Letters, 2023, 1-1.
    PUB | DOI | WoS
     
  • [410]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2982935
    X. Zhang, Y. Jin, and F. Qian, “A self-adaptive dynamic multi-objective optimization algorithm based on transfer learning and elitism-based mutation”, Neurocomputing, 2023, : 126761.
    PUB | DOI | WoS
     
  • [409]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2985552
    F. Li, Z. Shang, Y. Liu, H. Shen, and Y. Jin, “Inverse distance weighting and radial basis function based surrogate model for high-dimensional expensive multi-objective optimization”, Applied Soft Computing, 2023, : 111194.
    PUB | DOI | WoS
     
  • [408]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2985124
    C. Yang, J. Ding, Y. Jin, and T. Chai, “A Data Stream Ensemble Assisted Multifactorial Evolutionary Algorithm for Offline Data-Driven Dynamic Optimization”, Evolutionary Computation , 2023, 31, 433-458.
    PUB | DOI | WoS | PubMed | Europe PMC
     
  • [407]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2983502
    Q. Liu, Y. Yan, P. Ligeti, and Y. Jin, “A Secure Federated Data-Driven Evolutionary Multi-Objective Optimization Algorithm”, IEEE Transactions on Emerging Topics in Computational Intelligence, 2023, 1-15.
    PUB | DOI | WoS
     
  • [406]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2985405
    M. Zhang, L. Liu, Y. Jin, Z. Lei, Z. Wang, and L. Jiao, “Tree-shaped multiobjective evolutionary CNN for hyperspectral image classification”, Applied Soft Computing, 2023, : 111176.
    PUB | DOI
     
  • [405]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2983757
    Q. Liu, F. Lanfermann, T. Rodemann, M. Olhofer, and Y. Jin, “Surrogate-Assisted Many-Objective Optimization of Building Energy Management”, IEEE Computational Intelligence Magazine, 2023, 18, 14-28.
    PUB | DOI | WoS
     
  • [404]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2985020
    Q. Liu, Y. Yan, Y. Jin, X. Wang, P. Ligeti, G. Yu, and X. Yan, “Secure Federated Evolutionary Optimization—A Survey”, Engineering, 2023.
    PUB | DOI
     
  • [403]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2983244
    D. Xue, T. Lei, S. Yang, Z. Lv, T. Liu, Y. Jin, and A. K. Nandi, “Triple Change Detection Network via Joint Multi-frequency and Full-scale Swin-Transformer for Remote Sensing Images”, IEEE Transactions on Geoscience and Remote Sensing, 2023, 1-1.
    PUB | DOI | WoS
     
  • [402]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2984612 OA
    J. Liu, and Y. Jin, “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
    S. Yang, H. Wang, Y. Pang, Y. Jin, and B. Linares-Barranco, “Integrating Visual Perception With Decision Making in Neuromorphic Fault-Tolerant Quadruplet-Spike Learning Framework”, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2023, 1-13.
    PUB | DOI
     
  • [400]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2984065
    X. Wang, Y. Jin, S. Schmitt, and M. Olhofer, “Recent Advances in Bayesian Optimization”, ACM Computing Surveys, 2023, 55, : 287.
    PUB | DOI | WoS
     
  • [399]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2982971
    X. Yan, Z. Fang, and Y. Jin, “An adaptive n-gram transformer for multi-scale scene text recognition”, Knowledge-Based Systems, 2023, : 110964.
    PUB | DOI | WoS
     
  • [398]
    2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2983916
    Z. Wang, H. Wang, C. Tian, Y. Jin, A. El Saddik, T. Mei, R. Cucchiara, M. Bertini, D. P. Tobon Vallejo, P. K. Atrey, et al., in Proceedings of the 31st ACM International Conference on Multimedia, Acm, New York, NY, USA, 2023, p. 4958-4967.
    PUB | DOI
     
  • [397]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2983734
    Y. Zhang, Y. Tian, H. Jiang, X. Zhang, and Y. Jin, “Design and analysis of helper-problem-assisted evolutionary algorithm for constrained multiobjective optimization”, Information Sciences, 2023, 648, : 119547.
    PUB | DOI | WoS
     
  • [396]
    2023 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2983444
    H. Jiang, K. Chou, Y. Tian, X. Zhang, and Y. Jin, “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
    L. Wu, Y. Jin, and K. Hao, “Optimized compressed sensing for communication efficient federated learning”, Knowledge-Based Systems, 2023, : 110805.
    PUB | DOI | Download (ext.) | WoS
     
  • [394]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2983378
    Q. Liu, Y. Yan, and Y. Jin, “Privacy-Preserving Federated Bayesian Optimization with Learnable Noise”, Information Sciences, 2023, : 119739.
    PUB | DOI
     
  • [393]
    2023 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2983166
    H. Li, Y. Jin, and T. Chai, “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
    L. Si, X. Zhang, Y. Tian, S. Yang, L. Zhang, and Y. Jin, “Linear Subspace Surrogate Modeling for Large-Scale Expensive Single/Multi-Objective Optimization”, IEEE Transactions on Evolutionary Computation, 2023, 1-1.
    PUB | DOI
     
  • [391]
    2023 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2982658
    X. Wang, Y. Jin, S. Schmitt, and M. Olhofer, “Alleviating Search Bias in Bayesian Evolutionary Optimization With Many Heterogeneous Objectives”, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2023, 1-13.
    PUB | DOI | Download (ext.) | WoS
     
  • [390]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2983126
    W. Luo, Y. Jin, and C. Huang, “Guest Editorial: Special Issue on Security and Privacy in Machine Learning”, IEEE Transactions on Artificial Intelligence, 2023, 4, 986-987.
    PUB | DOI
     
  • [389]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2983127
    H. Zhu, R. Wang, Y. Jin, and K. Liang, “PIVODL: Privacy-Preserving Vertical Federated Learning Over Distributed Labels”, IEEE Transactions on Artificial Intelligence, 2023, 4, 988-1001.
    PUB | DOI
     
  • [388]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2982907
    L. Ma, N. Li, G. Yu, X. Geng, S. Cheng, X. Wang, M. Huang, and Y. Jin, “Pareto-Wise Ranking Classifier for Multi-Objective Evolutionary Neural Architecture Search”, IEEE Transactions on Evolutionary Computation, 2023, 1-1.
    PUB | DOI
     
  • [387]
    2023 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2982782
    X. Yan, H. Huang, Y. Jin, L. Chen, Z. Liang, and Z. Hao, “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
    R. Wang, Q. Zhang, X. Dai, Z. Yuan, T. Zhang, S. Ding, and Y. Jin, “An efficient evolutionary algorithm for high-speed train rescheduling under a partial station blockage”, Applied Soft Computing, 2023, 145, : 110590.
    PUB | DOI | Download (ext.) | WoS
     
  • [385]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2979431
    Q. Liu, J. Fan, J. - X. Zhang, and Y. Jin, “Guest Editorial: Advanced Intelligent Manufacturing System: Theory, Algorithms, and Industrial Applications”, IEEE Transactions on Industrial Informatics, 2023, 19, 7720-7723.
    PUB | DOI | WoS
     
  • [384]
    2023 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2982416
    Y. Yan, M. B. M. Kamel, M. Zoltay, M. Gal, R. Hollos, Y. Jin, L. Peter, and A. Tenyi, “Fedlabx: a practical and privacy-preserving framework for federated learning”, Complex & Intelligent Systems, 2023.
    PUB | DOI | WoS
     
  • [383]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2981362
    L. Ma, Y. Liu, G. Yu, X. Wang, H. Mo, G. - G. Wang, Y. Jin, and Y. Tan, “Decomposition-Based Multiobjective Optimization for Variable-Length Mixed-Variable Pareto Optimization and Its Application in Cloud Service Allocation”, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2023, 1-14.
    PUB | DOI | Download (ext.) | WoS
     
  • [382]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2981804
    H. Li, C. Ma, C. Zhang, Q. Chen, C. He, and Y. Jin, “A Knowledge-Based Cooperative Co-Evolutionary Algorithm for Non-Contact Voltage Measurement”, IEEE Transactions on Emerging Topics in Computational Intelligence, 2023, 1-14.
    PUB | DOI | Download (ext.) | WoS
     
  • [381]
    2023 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2978326
    S. Qin, C. Sun, Q. Liu, and Y. Jin, “A Performance Indicator Based Infill Criterion for Expensive Multi-/Many-objective Optimization”, IEEE Transactions on Evolutionary Computation, 2023, 1-1.
    PUB | DOI | Download (ext.) | WoS
     
  • [380]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2982281
    P. Yue, Y. Jin, X. Dai, Z. Feng, and D. Cui, “Reinforcement Learning for Online Dispatching Policy in Real-Time Train Timetable Rescheduling”, IEEE Transactions on Intelligent Transportation Systems, 2023, 1-13.
    PUB | DOI
     
  • [379]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2982169
    D. Yazdani, M. N. Omidvar, D. Yazdani, J. Branke, T. T. Nguyen, A. H. Gandomi, Y. Jin, and X. Yao, “Robust Optimization Over Time: A Critical Review”, IEEE Transactions on Evolutionary Computation, 2023, 1-1.
    PUB | DOI | Download (ext.)
     
  • [378]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2981956
    J. Liu, R. Cheng, and Y. Jin, “Bi-fidelity evolutionary multiobjective search for adversarially robust deep neural architectures”, Neurocomputing, 2023, 550, : 126465.
    PUB | DOI | WoS
     
  • [377]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2981136
    S. Wang, B. Ding, and Y. Jin, “A Multi-Factorial Evolutionary Algorithm With Asynchronous Optimization Processes for Solving the Robust Influence Maximization Problem”, IEEE Computational Intelligence Magazine, 2023, 18, 41-53.
    PUB | DOI | Download (ext.) | WoS
     
  • [376]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2979584
    Y. Wu, X. Peng, H. Wang, Y. Jin, and D. Xu, “Cooperative Coevolutionary CMA-ES With Landscape-Aware Grouping in Noisy Environments”, IEEE Transactions on Evolutionary Computation, 2023, 27, 686-700.
    PUB | DOI | Download (ext.) | WoS
     
  • [375]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2980955
    Z. Fan, Z. Wang, W. Li, X. Zhu, B. Hu, A. - M. Zou, W. Bao, M. Gu, Z. Hao, and Y. Jin, “Automated pattern generation for swarm robots using constrained multi-objective genetic programming”, Swarm and Evolutionary Computation, 2023, 81, : 101337.
    PUB | DOI | WoS
     
  • [374]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2980536
    J. Wang, G. Xie, Y. Huang, J. Lyu, F. Zheng, Y. Zheng, and Y. Jin, “FedMed-GAN: Federated domain translation on unsupervised cross- modality brain image synthesis”, Neurocomputing, 2023, 546, : 126282.
    PUB | DOI | WoS
     
  • [373]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2979947
    Z. Song, H. Wang, and Y. Jin, “A Surrogate-Assisted Evolutionary Framework With Regions of Interests-Based Data Selection for Expensive Constrained Optimization”, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2023, 1-13.
    PUB | DOI | Download (ext.) | WoS
     
  • [372]
    2023 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2979307
    H. Guo, Q. Peng, Z. Cao, and Y. Jin, “DRL-Searcher: A Unified Approach to Multirobot Efficient Search for a Moving Target”, IEEE Transactions on Neural Networks and Learning Systems, 2023, 1-14.
    PUB | DOI | WoS | PubMed | Europe PMC
     
  • [371]
    2023 | Zeitschriftenaufsatz | Im Druck | PUB-ID: 2978720
    S. Yang, Y. Pang, H. Wang, T. Lei, J. Pan, J. Wang, and Y. Jin, “Spike-Driven Multi-Scale Learning with Hybrid Mechanisms of Spiking Dendrites”, Neurocomputing, In Press, : 126240.
    PUB | DOI | Download (ext.) | WoS
     
  • [370]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2979725
    X. Zhang, G. Yu, Y. Jin, and F. Qian, “An adaptive Gaussian process based manifold transfer learning to expensive dynamic multi-objective optimization”, NEUROCOMPUTING, 2023, 538, : 126212.
    PUB | DOI | WoS
     
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    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978320
    X. Zhang, G. Yu, Y. Jin, and F. Qian, “Elitism-based transfer learning and diversity maintenance for dynamic multi-objective optimization”, Information Sciences, 2023, 636, : 118927.
    PUB | DOI | Download (ext.) | WoS
     
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    2023 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2978768
    F. Ntelemis, Y. Jin, and S. A. Thomas, “A Generic Self-Supervised Framework of Learning Invariant Discriminative Features”, IEEE Transactions on Neural Networks and Learning Systems, 2023, 1-15.
    PUB | DOI | Download (ext.) | WoS | PubMed | Europe PMC
     
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    2023 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2979669
    H. Zhu, X. Wang, and Y. Jin, “Federated Many-Task Bayesian Optimization”, IEEE Transactions on Evolutionary Computation, 2023, 1-1.
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  • [366]
    2023 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2978681
    H. Guo, W. Sheng, C. Gao, and Y. Jin, “DRL Router: Distributional Reinforcement Learning-Based Router for Reliable Shortest Path Problems”, IEEE Intelligent Transportation Systems Magazine, 2023, 2-19.
    PUB | DOI | Download (ext.) | WoS
     
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    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978322
    Z. Yang, J. Zhang, Y. Jiang, and Y. Jin, “A Self-Organizing IoT Service Perception Algorithm Based on Human Visual Direction-Sensitive System”, IEEE Internet of Things Journal, 2023, 10, 6193-6204.
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    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978328 OA
    T. Lei, X. Geng, H. Ning, Z. Lv, M. Gong, Y. Jin, and A. K. Nandi, “Ultralightweight Spatial–Spectral Feature Cooperation Network for Change Detection in Remote Sensing Images”, IEEE Transactions on Geoscience and Remote Sensing, 2023, 61, 1-14.
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  • [363]
    2023 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2978321
    X. Wang, and Y. Jin, “Personalized Bayesian optimization for noisy problems”, Complex & Intelligent Systems, 2023.
    PUB | DOI | Download (ext.) | WoS
     
  • [362]
    2023 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2978327
    Z. Lu, R. Cheng, Y. Jin, K. C. Tan, and K. Deb, “Neural Architecture Search as Multiobjective Optimization Benchmarks: Problem Formulation and Performance Assessment”, IEEE Transactions on Evolutionary Computation, 2023, 1-1.
    PUB | DOI | Download (ext.)
     
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    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978382
    Y. Xiao, Y. Jin, and K. Hao, “Adaptive Prototypical Networks With Label Words and Joint Representation Learning for Few-Shot Relation Classification”, IEEE Transactions on Neural Networks and Learning Systems, 2023, 34, 1406-1417.
    PUB | DOI | Download (ext.)
     
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    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978348 OA
    M. Chen, Y. Guo, Y. Jin, S. Yang, D. Gong, and Z. Yu, “An environment-driven hybrid evolutionary algorithm for dynamic multi-objective optimization problems”, Complex & Intelligent Systems, 2023, 9, 659-675.
    PUB | PDF | DOI | Download (ext.)
     
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    2023 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2978325
    Y. Hou, M. Sun, Y. Zeng, Y. - S. Ong, Y. Jin, H. Ge, and Q. Zhang, “A Multi-agent Cooperative Learning System with Evolution of Social Roles”, IEEE Transactions on Evolutionary Computation, 2023, 1-14.
    PUB | DOI | Download (ext.)
     
  • [358]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978323
    Y. Tian, J. Pan, S. Yang, X. Zhang, S. He, and Y. Jin, “Imperceptible and Sparse Adversarial Attacks via a Dual-Population-Based Constrained Evolutionary Algorithm”, IEEE Transactions on Artificial Intelligence, 2023, 4, 268-281.
    PUB | DOI | Download (ext.)
     
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    2023 | Konferenzbeitrag | PUB-ID: 2978670
    S. Liu, X. Wang, and Y. Jin, 2023.
    PUB
     
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    2023 | Konferenzbeitrag | PUB-ID: 2978333
    P. Liao, Y. Jin, and W. Du, in (Ed.: Y. Jin), 2023.
    PUB
     
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    2023 | Konferenzbeitrag | PUB-ID: 2978539
    G. Xie, J. Wang, J. Liu, Y. Jin, and F. Zheng, in (Eds.: G. Xie, J. Wang, J. Liu, Y. Jin, F. Zheng), 2023.
    PUB
     
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    2023 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2969870
    C. He, L. Li, R. Cheng, and Y. Jin, “Evolutionary multiobjective optimization via efficient sampling-based offspring generation”, Complex & Intelligent Systems , 2023.
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    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2969872
    Y. Tian, X. Zhang, C. He, K. C. Tan, and Y. Jin, “Principled Design of Translation, Scale, and Rotation Invariant Variation Operators for Metaheuristics”, Chinese Journal of Electronics, 2023, 32, 111-129.
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    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2968288 OA
    X. Wang, and Y. Jin, “Knowledge Transfer Based on Particle Filters for Multi-Objective Optimization”, Mathematical and Computational Applications, 2023, 28, : 14.
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    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2969532
    Y. Liu, J. Liu, Y. Jin, F. Li, and T. Zheng, “A Surrogate-Assisted Two-Stage Differential Evolution for Expensive Constrained Optimization”, IEEE Transactions on Emerging Topics in Computational Intelligence , 2023.
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    2023 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2969525
    S. Wang, Y. Jin, and M. Cai, “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
    S. Yang, H. Wei, H. Ma, Y. Tian, X. Zhang, Y. Cao, and Y. Jin, “Cognitive Diagnosis-Based Personalized Exercise Group Assembly via a Multi-Objective Evolutionary Algorithm”, IEEE Transactions on Emerging Topics in Computational Intelligence , 2023.
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    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2968520
    Y. Tian, W. Zhu, X. Zhang, and Y. Jin, “A practical tutorial on solving optimization problems via PlatEMO”, Neurocomputing, 2023, 518, 190-205.
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    2023 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2968517
    Y. Zhou, Y. Jin, Y. Sun, and J. Ding, “Surrogate-Assisted Cooperative Co-evolutionary Reservoir Architecture Search for Liquid State Machines”, IEEE Transactions on Emerging Topics in Computational Intelligence , 2023.
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    2022 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2978353
    C. He, R. Cheng, L. Li, K. C. Tan, and Y. Jin, “Large-scale Multiobjective Optimization via Reformulated Decision Variable Analysis”, IEEE Transactions on Evolutionary Computation, 2022, 1-1.
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    2022 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2978346
    M. Chen, W. Du, Y. Tang, Y. Jin, and G. G. Yen, “A Decomposition Method for Both Additively and Non-additively Separable Problems”, IEEE Transactions on Evolutionary Computation, 2022, 1-1.
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  • [344]
    2022 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2978355
    H. Gu, H. Wang, and Y. Jin, “Surrogate-Assisted Differential Evolution with Adaptive Multi-Subspace Search for Large-Scale Expensive Optimization”, IEEE Transactions on Evolutionary Computation, 2022, 1-1.
    PUB | DOI | Download (ext.) | WoS
     
  • [343]
    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978332
    X. Wang, Y. Jin, and K. Hao, “Computational Modeling of Structural Synaptic Plasticity in Echo State Networks”, IEEE Transactions on Cybernetics, 2022, 52, 11254-11266.
    PUB | DOI | Download (ext.)
     
  • [342]
    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978334
    S. Yang, Y. Tian, C. He, X. Zhang, K. C. Tan, and Y. Jin, “A Gradient-Guided Evolutionary Approach to Training Deep Neural Networks”, IEEE Transactions on Neural Networks and Learning Systems, 2022, 33, 4861-4875.
    PUB | DOI | Download (ext.)
     
  • [341]
    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978335
    Y. Tian, S. Peng, S. Yang, X. Zhang, K. C. Tan, and Y. Jin, “Action Command Encoding for Surrogate-Assisted Neural Architecture Search”, IEEE Transactions on Cognitive and Developmental Systems, 2022, 14, 1129-1142.
    PUB | DOI | Download (ext.)
     
  • [340]
    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978336
    Y. Tian, Y. Zhang, Y. Su, X. Zhang, K. C. Tan, and Y. Jin, “Balancing Objective Optimization and Constraint Satisfaction in Constrained Evolutionary Multiobjective Optimization”, IEEE Transactions on Cybernetics, 2022, 52, 9559-9572.
    PUB | DOI | Download (ext.)
     
  • [339]
    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978338
    Y. Liu, J. Liu, and Y. Jin, “Surrogate-Assisted Multipopulation Particle Swarm Optimizer for High-Dimensional Expensive Optimization”, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2022, 52, 4671-4684.
    PUB | DOI | Download (ext.)
     
  • [338]
    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978339
    X. Xiang, Y. Tian, X. Zhang, J. Xiao, and Y. Jin, “A Pairwise Proximity Learning-Based Ant Colony Algorithm for Dynamic Vehicle Routing Problems”, IEEE Transactions on Intelligent Transportation Systems, 2022, 23, 5275-5286.
    PUB | DOI | Download (ext.)
     
  • [337]
    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978340
    J. Liu, Y. Liu, Y. Jin, and F. Li, “A Decision Variable Assortment-Based Evolutionary Algorithm for Dominance Robust Multiobjective Optimization”, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2022, 52, 3360-3375.
    PUB | DOI | Download (ext.)
     
  • [336]
    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978331
    X. Wang, K. Zhang, J. Wang, and Y. Jin, “An Enhanced Competitive Swarm Optimizer With Strongly Convex Sparse Operator for Large-Scale Multiobjective Optimization”, IEEE Transactions on Evolutionary Computation, 2022, 26, 859-871.
    PUB | DOI | Download (ext.)
     
  • [335]
    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978330
    S. Wang, Y. Yin, D. Wang, Y. Wang, and Y. Jin, “Interpretability-Based Multimodal Convolutional Neural Networks for Skin Lesion Diagnosis”, IEEE Transactions on Cybernetics, 2022, 52, 12623-12637.
    PUB | DOI | Download (ext.)
     
  • [334]
    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978329
    F. Ntelemis, Y. Jin, and S. A. Thomas, “Image Clustering Using an Augmented Generative Adversarial Network and Information Maximization”, IEEE Transactions on Neural Networks and Learning Systems, 2022, 33, 7461-7474.
    PUB | DOI | Download (ext.)
     
  • [333]
    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978337
    Y. Tian, C. Lu, X. Zhang, F. Cheng, and Y. Jin, “A Pattern Mining-Based Evolutionary Algorithm for Large-Scale Sparse Multiobjective Optimization Problems”, IEEE Transactions on Cybernetics, 2022, 52, 6784-6797.
    PUB | DOI | Download (ext.)
     
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    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978341
    Q. Liu, Y. Jin, M. Heiderich, T. Rodemann, and G. Yu, “An Adaptive Reference Vector-Guided Evolutionary Algorithm Using Growing Neural Gas for Many-Objective Optimization of Irregular Problems”, IEEE Transactions on Cybernetics, 2022, 52, 2698-2711.
    PUB | DOI | Download (ext.)
     
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    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978342
    D. Guo, X. Wang, K. Gao, Y. Jin, J. Ding, and T. Chai, “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, 2022, 52, 2084-2097.
    PUB | DOI | Download (ext.)
     
  • [330]
    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978343
    H. Zhu, and Y. Jin, “Real-Time Federated Evolutionary Neural Architecture Search”, IEEE Transactions on Evolutionary Computation, 2022, 26, 364-378.
    PUB | DOI | Download (ext.)
     
  • [329]
    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978344
    J. Xu, W. Du, Y. Jin, W. He, and R. Cheng, “Ternary Compression for Communication-Efficient Federated Learning”, IEEE Transactions on Neural Networks and Learning Systems, 2022, 33, 1162-1176.
    PUB | DOI | Download (ext.)
     
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    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978345
    W. Du, W. Song, Y. Tang, Y. Jin, and F. Qian, “Searching for Robustness Intervals in Evolutionary Robust Optimization”, IEEE Transactions on Evolutionary Computation, 2022, 26, 58-72.
    PUB | DOI | Download (ext.)
     
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    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978347
    S. Qi, J. Zou, S. Yang, Y. Jin, J. Zheng, and X. Yang, “A self-exploratory competitive swarm optimization algorithm for large-scale multiobjective optimization”, Information Sciences, 2022, 609, 1601-1620.
    PUB | DOI | Download (ext.)
     
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    2022 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2978351
    R. Wang, O. Ersoy, H. Zhu, Y. Jin, and K. Liang, “FEVERLESS: Fast and Secure Vertical Federated Learning based on XGBoost for Decentralized Labels”, IEEE Transactions on Big Data, 2022, 1-15.
    PUB | DOI | Download (ext.)
     
  • [325]
    2022 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2978349
    X. Wang, Y. Jin, W. Du, and J. Wang, “Evolving Dual-Threshold Bienenstock-Cooper-Munro Learning Rules in Echo State Networks”, IEEE Transactions on Neural Networks and Learning Systems, 2022, 1-12.
    PUB | DOI | Download (ext.)
     
  • [324]
    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978350
    T. Wang, X. Peng, Y. Jin, and D. Xu, “Experience Sharing Based Memetic Transfer Learning for Multiagent Reinforcement Learning”, Memetic Computing, 2022, 14, 3-17.
    PUB | DOI | Download (ext.)
     
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    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978352
    Q. Chen, Y. Jin, and Y. Song, “Fault-tolerant adaptive tracking control of Euler-Lagrange systems – An echo state network approach driven by reinforcement learning”, Neurocomputing, 2022, 484, 109-116.
    PUB | DOI | Download (ext.)
     
  • [322]
    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978354 OA
    P. Brosnan, G. Tian, H. Zhang, Z. Wu, and Y. Jin, “Non-linear and multi-domain modelling of a permanent magnet linear synchronous machine for free piston engine generators”, Energy Conversion and Management: X, 2022, 14, : 100195.
    PUB | PDF | DOI | Download (ext.)
     
  • [321]
    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978385
    Y. Tian, L. Si, X. Zhang, R. Cheng, C. He, K. C. Tan, and Y. Jin, “Evolutionary Large-Scale Multi-Objective Optimization: A Survey”, ACM Computing Surveys, 2022, 54, 1-34.
    PUB | DOI | Download (ext.)
     
  • [320]
    2022 | Konferenzbeitrag | PUB-ID: 2978672
    G. Xie, J. Wang, Y. Huang, Y. Zheng, F. Zheng, and Y. Jin, 2022.
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    2022 | Konferenzbeitrag | PUB-ID: 2978671
    Y. Hong, Y. Jin, and Y. Tang, 2022.
    PUB
     
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    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2967873
    G. Yu, L. Ma, Y. Jin, W. Du, Q. Liu, and H. Zhang, “A Survey on Knee-Oriented Multiobjective Evolutionary Optimization”, IEEE Transactions on Evolutionary Computation, 2022, 26, 1452-1472.
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    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2967881
    Y. Tian, Y. Feng, C. Wang, R. Cao, X. Zhang, X. Pei, K. C. Tan, and Y. Jin, “A Large-Scale Combinatorial Many-Objective Evolutionary Algorithm for Intensity-Modulated Radiotherapy Planning”, IEEE Transactions on Evolutionary Computation, 2022, 26, 1511-1525.
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    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2967882
    X. Xiang, Y. Tian, R. Cheng, X. Zhang, S. Yang, and Y. Jin, “A benchmark generator for online dynamic single-objective and multi-objective optimization problems”, Information Sciences, 2022, 613, 591-608.
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    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2966986
    L. Li, C. He, R. Cheng, H. Li, L. Pan, and Y. Jin, “A fast sampling based evolutionary algorithm for million-dimensional multiobjective optimization”, Swarm and Evolutionary Computation , 2022, 75, : 101181.
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    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2966974
    S. Chen, X. Qiu, X. Tan, Z. Fang, and Y. Jin, “A model-based hybrid soft actor-critic deep reinforcement learning algorithm for optimal ventilator settings”, Information Sciences, 2022, 611, 47-64.
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    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2966360
    H. Zhang, Y. Jin, and K. Hao, “Evolutionary Search for Complete Neural Network Architectures With Partial Weight Sharing”, IEEE Transactions on Evolutionary Computation (T-EVC) , 2022, 26, 1072-1086.
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    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2966363
    Y. Tian, H. Chen, H. Ma, X. Zhang, K. C. Tan, and Y. Jin, “Integrating Conjugate Gradients Into Evolutionary Algorithms for Large-Scale Continuous Multi-Objective Optimization”, IEEE/CAA Journal of Automatica Sinica , 2022, 9, 1801-1817.
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    2022 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2964655
    Y. Tian, L. Si, X. Zhang, K. C. Tan, and Y. Jin, “Local Model-Based Pareto Front Estimation for Multiobjective Optimization”, IEEE Transactions on Systems, Man, and Cybernetics: Systems , 2022.
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    2022 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2964652
    Z. Liu, L. Tong, L. Chen, Z. Jiang, F. Zhou, Q. Zhang, X. Zhang, Y. Jin, and H. Zhou, “Deep learning based brain tumor segmentation: a survey”, Complex & Intelligent Systems, 2022.
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    2022 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2964649
    Q. Liu, Y. Jin, M. Heiderich, and T. Rodemann, “Coordinated Adaptation of Reference Vectors and Scalarizing Functions in Evolutionary Many-Objective Optimization”, IEEE Transactions on Systems, Man, and Cybernetics: Systems , 2022.
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    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2964349
    F. Ntelemis, Y. Jin, and S. A. Thomas, “Information maximization clustering via multi-view self-labelling”, Knowledge-Based Systems, 2022, 250, : 109042.
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    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2964066
    X. Wang, B. Zhang, J. Wang, K. Zhang, and Y. Jin, “A Cluster-Based Competitive Particle Swarm Optimizer with a Sparse Truncation Operator for Multi-Objective Optimization”, Swarm and Evolutionary Computation, 2022, 71, : 101083.
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    2022 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2963829
    Z. Liu, H. Wang, and Y. Jin, “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
    D. Han, W. Du, Y. Jin, W. Du, and G. Yu, “A fuzzy constraint handling technique for decomposition-based constrained multi- and many-objective optimization”, Information Sciences , 2022, 597, 318-340.
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    2022 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2963475
    H. Bai, R. Cheng, D. Yazdani, K. C. Tan, and Y. Jin, “Evolutionary Large-Scale Dynamic Optimization Using Bilevel Variable Grouping”, IEEE Transactions on Cybernetics , 2022.
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    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2963022
    Q. Liu, Y. Jin, M. Heiderich, and T. Rodemann, “Surrogate-assisted evolutionary optimization of expensive many-objective irregular problems”, Knowledge-Based Systems , 2022, 240, : 108197.
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    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2963021
    X. Qiu, X. Tan, Q. Li, S. Chen, Y. Ru, and Y. Jin, “A latent batch-constrained deep reinforcement learning approach for precision dosing clinical decision support”, Knowledge-Based Systems , 2022, 237, : 107689.
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    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2962699
    Y. Ru, X. Qiu, X. Tan, B. Chen, Y. Gao, and Y. Jin, “Sparse-attentive meta temporal point process for clinical decision support”, Neurocomputing , 2022, 485, 114-123.
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    2022 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2962704
    Q. Liu, R. Cheng, Y. Jin, M. Heiderich, and T. Rodemann, “Reference Vector-Assisted Adaptive Model Management for Surrogate-Assisted Many-Objective Optimization”, IEEE Transactions on Systems, Man, and Cybernetics: Systems , 2022.
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    2022 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2961885
    Y. Tian, X. Li, H. Ma, X. Zhang, K. C. Tan, and Y. Jin, “Deep Reinforcement Learning Based Adaptive Operator Selection for Evolutionary Multi-Objective Optimization”, IEEE Transactions on Emerging Topics in Computational Intelligence , 2022.
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    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2959765
    Y. Xiao, Y. Jin, R. Cheng, and K. Hao, “Hybrid attention-based transformer block model for distant supervision relation extraction”, Neurocomputing , 2022, 470, 29-39.
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    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978359
    S. Wang, Y. Yin, D. Wang, Z. Lv, Y. Wang, and Y. Jin, “An interpretable deep neural network for colorectal polyp diagnosis under colonoscopy”, Knowledge-Based Systems, 2021, 234, : 107568.
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    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978360
    A. R. Shirazi, and Y. Jin, “Regulated Morphogen Gradients for Target Surrounding and Adaptive Shape Formation”, IEEE Transactions on Cognitive and Developmental Systems, 2021, 13, 818-826.
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    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978361
    X. Wang, Y. Jin, S. Schmitt, M. Olhofer, and R. Allmendinger, “Transfer learning based surrogate assisted evolutionary bi-objective optimization for objectives with different evaluation times”, Knowledge-Based Systems, 2021, 227, : 107190.
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    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2959044
    X. Wang, Y. Jin, S. Schmitt, and M. Olhofer, “Transfer Learning Based Co-surrogate Assisted Evolutionary Bi-objective Optimization for Objectives with Non-uniform Evaluation Times”, Evolutionary computation, 2021, 30, 221–251.
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    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978363
    D. Yazdani, R. Cheng, D. Yazdani, J. Branke, Y. Jin, and X. Yao, “A Survey of Evolutionary Continuous Dynamic Optimization Over Two Decades - Part B”, IEEE Transactions on Evolutionary Computation, 2021, 25, 630-650.
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    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978362
    D. Yazdani, R. Cheng, D. Yazdani, J. Branke, Y. Jin, and X. Yao, “A Survey of Evolutionary Continuous Dynamic Optimization Over Two Decades - Part A”, IEEE Transactions on Evolutionary Computation, 2021, 25, 609-629.
    PUB | DOI | Download (ext.)
     
  • [291]
    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978364
    F. Qian, Y. Jin, S. J. Qin, and K. Sundmacher, “Guest Editorial Special Issue on Deep Integration of Artificial Intelligence and Data Science for Process Manufacturing”, IEEE Transactions on Neural Networks and Learning Systems, 2021, 32, 3294-3295.
    PUB | DOI | Download (ext.)
     
  • [290]
    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978365
    S. Qin, C. Sun, Y. Jin, Y. Tan, and J. Fieldsend, “Large-Scale Evolutionary Multiobjective Optimization Assisted by Directed Sampling”, IEEE Transactions on Evolutionary Computation, 2021, 25, 724-738.
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  • [289]
    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978366
    S. Wang, J. Liu, and Y. Jin, “A Computationally Efficient Evolutionary Algorithm for Multiobjective Network Robustness Optimization”, IEEE Transactions on Evolutionary Computation, 2021, 25, 419-432.
    PUB | DOI | Download (ext.)
     
  • [288]
    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978370
    Y. Tian, C. Lu, X. Zhang, K. C. Tan, and Y. Jin, “Solving Large-Scale Multiobjective Optimization Problems With Sparse Optimal Solutions via Unsupervised Neural Networks”, IEEE Transactions on Cybernetics, 2021, 51, 3115-3128.
    PUB | DOI | Download (ext.)
     
  • [287]
    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978371
    H. Chen, R. Cheng, W. Pedrycz, and Y. Jin, “Solving Many-Objective Optimization Problems via Multistage Evolutionary Search”, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2021, 51, 3552-3564.
    PUB | DOI
     
  • [286]
    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978372
    H. Zhu, H. Zhang, and Y. Jin, “From federated learning to federated neural architecture search: a survey”, Complex & Intelligent Systems, 2021, 7, 639-657.
    PUB | DOI | Download (ext.)
     
  • [285]
    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978373
    H. Zhang, Y. Jin, R. Cheng, and K. Hao, “Efficient Evolutionary Search of Attention Convolutional Networks via Sampled Training and Node Inheritance”, IEEE Transactions on Evolutionary Computation, 2021, 25, 371-385.
    PUB | DOI
     
  • [284]
    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978374
    Y. Tian, T. Zhang, J. Xiao, X. Zhang, and Y. Jin, “A Coevolutionary Framework for Constrained Multiobjective Optimization Problems”, IEEE Transactions on Evolutionary Computation, 2021, 25, 102-116.
    PUB | DOI | Download (ext.)
     
  • [283]
    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978357
    J. Xu, Y. Jin, W. Du, and S. Gu, “A federated data-driven evolutionary algorithm”, Knowledge-Based Systems, 2021, 233, : 107532.
    PUB | DOI
     
  • [282]
    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978358
    J. Xu, Y. Jin, and W. Du, “A federated data-driven evolutionary algorithm for expensive multi-/many-objective optimization”, Complex & Intelligent Systems, 2021, 7, 3093-3109.
    PUB | DOI
     
  • [281]
    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978356
    Z. Song, H. Wang, C. He, and Y. Jin, “A Kriging-Assisted Two-Archive Evolutionary Algorithm for Expensive Many-Objective Optimization”, IEEE Transactions on Evolutionary Computation, 2021, 25, 1013-1027.
    PUB | DOI
     
  • [280]
    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978375
    G. Yu, Y. Jin, and M. Olhofer, “A Multiobjective Evolutionary Algorithm for Finding Knee Regions Using Two Localized Dominance Relationships”, IEEE Transactions on Evolutionary Computation, 2021, 25, 145-158.
    PUB | DOI
     
  • [279]
    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978376
    S. Kuutti, R. Bowden, Y. Jin, P. Barber, and S. Fallah, “A Survey of Deep Learning Applications to Autonomous Vehicle Control”, IEEE Transactions on Intelligent Transportation Systems, 2021, 22, 712-733.
    PUB | DOI
     
  • [278]
    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978377
    S. Wang, J. Liu, and Y. Jin, “Finding Influential Nodes in Multiplex Networks Using a Memetic Algorithm”, IEEE Transactions on Cybernetics, 2021, 51, 900-912.
    PUB | DOI
     
  • [277]
    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978378
    H. Wang, L. Feng, Y. Jin, and J. Doherty, “Surrogate-Assisted Evolutionary Multitasking for Expensive Minimax Optimization in Multiple Scenarios”, IEEE Computational Intelligence Magazine, 2021, 16, 34-48.
    PUB | DOI
     
  • [276]
    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978379
    R. Liu, J. Li, Y. Jin, and L. Jiao, “A Self-Adaptive Response Strategy for Dynamic Multiobjective Evolutionary Optimization Based on Objective Space Decomposition”, Evolutionary Computation, 2021, 29, 491-519.
    PUB | DOI
     
  • [275]
    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978380
    Y. Hua, Q. Liu, K. Hao, and Y. Jin, “A Survey of Evolutionary Algorithms for Multi-Objective Optimization Problems With Irregular Pareto Fronts”, IEEE/CAA Journal of Automatica Sinica, 2021, 8, 303-318.
    PUB | DOI
     
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    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978381
    X. Zhou, J. Tian, J. Long, Y. Jin, G. Yu, and C. Yang, “A fast constrained state transition algorithm”, Neurocomputing, 2021, 455, 202-214.
    PUB | DOI
     
  • [273]
    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978383
    Q. Zhang, J. Lu, and Y. Jin, “Artificial intelligence in recommender systems”, Complex & Intelligent Systems, 2021, 7, 439-457.
    PUB | DOI
     
  • [272]
    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978384
    H. Zhu, R. Wang, Y. Jin, K. Liang, and J. Ning, “Distributed additive encryption and quantization for privacy preserving federated deep learning”, Neurocomputing, 2021, 463, 309-327.
    PUB | DOI
     
  • [271]
    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978386
    H. Zhu, J. Xu, S. Liu, and Y. Jin, “Federated learning on non-IID data: A survey”, Neurocomputing, 2021, 465, 371-390.
    PUB | DOI
     
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    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978387
    J. Liu, and Y. Jin, “Multi-objective search of robust neural architectures against multiple types of adversarial attacks”, Neurocomputing, 2021, 453, 73-84.
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    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978388
    H. Wang, C. Sun, G. Zhang, J. E. Fieldsend, and Y. Jin, “Non-dominated sorting on performance indicators for evolutionary many-objective optimization”, Information Sciences, 2021, 551, 23-38.
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    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978389
    P. Huang, H. Wang, and Y. Jin, “Offline data-driven evolutionary optimization based on tri-training”, Swarm and Evolutionary Computation, 2021, 60, : 100800.
    PUB | DOI
     
  • [267]
    2021 | Kurzbeitrag Konferenz / Poster | Veröffentlicht | PUB-ID: 2978390
    J. Xu, Z. Fang, Y. Gao, S. Ma, Y. Jin, H. Zhou, and A. Wang, in 2021 Data Compression Conference (DCC) (Eds.: A. Bilgin, M.W. Marcellin, J. Serra-Sagrista, J.A. Storer), Ieee, 2021, p. 379-379.
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  • [266]
    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978391
    X. Wang, Y. Jin, and K. Hao, “Synergies between synaptic and intrinsic plasticity in echo state networks”, Neurocomputing, 2021, 432, 32-43.
    PUB | DOI
     
  • [265]
    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978392
    H. Chen, F. Li, L. Wang, Y. Jin, C. - H. Chi, L. Kurgan, J. Song, and J. Shen, “Systematic evaluation of machine learning methods for identifying human–pathogen protein–protein interactions”, Briefings in Bioinformatics, 2021, 22.
    PUB | DOI | Download (ext.)
     
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    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978367
    Y. Tian, R. Liu, X. Zhang, H. Ma, K. C. Tan, and Y. Jin, “A Multipopulation Evolutionary Algorithm for Solving Large-Scale Multimodal Multiobjective Optimization Problems”, IEEE Transactions on Evolutionary Computation, 2021, 25, 405-418.
    PUB | DOI | Download (ext.)
     
  • [263]
    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978368
    C. He, S. Huang, R. Cheng, K. C. Tan, and Y. Jin, “Evolutionary Multiobjective Optimization Driven by Generative Adversarial Networks (GANs)”, IEEE Transactions on Cybernetics, 2021, 51, 3129-3142.
    PUB | DOI | Download (ext.)
     
  • [262]
    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978369
    C. He, R. Cheng, Y. Tian, X. Zhang, K. C. Tan, and Y. Jin, “Paired Offspring Generation for Constrained Large-Scale Multiobjective Optimization”, IEEE Transactions on Evolutionary Computation, 2021, 25, 448-462.
    PUB | DOI | Download (ext.)
     
  • [261]
    2021 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2960436
    G. Yu, Y. Jin, M. Olhofer, Q. Liu, and W. Du, “Solution Set Augmentation for Knee Identification in Multiobjective Decision Analysis”, IEEE Transactions on Cybernetics , 2021.
    PUB | DOI | WoS | PubMed | Europe PMC
     
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    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978401
    Y. Jin, “Introduction to the Special Issue on Nature-Inspired Optimization Methods in Fuzzy Systems”, IEEE Transactions on Fuzzy Systems, 2020, 28, 1019-1022.
    PUB | DOI
     
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    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978393
    L. Huang, Y. Ding, M. C. Zhou, Y. Jin, and K. Hao, “Multiple-Solution Optimization Strategy for Multirobot Task Allocation”, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2020, 50, 4283-4294.
    PUB | DOI | Download (ext.)
     
  • [258]
    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978394
    Y. Chen, X. Sun, and Y. Jin, “Communication-Efficient Federated Deep Learning With Layerwise Asynchronous Model Update and Temporally Weighted Aggregation”, IEEE Transactions on Neural Networks and Learning Systems, 2020, 31, 4229-4238.
    PUB | DOI | Download (ext.)
     
  • [257]
    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978395
    Y. Zhou, Y. Jin, and J. Ding, “Surrogate-Assisted Evolutionary Search of Spiking Neural Architectures in Liquid State Machines”, Neurocomputing, 2020, 406, 12-23.
    PUB | DOI | Download (ext.)
     
  • [256]
    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978397
    Y. Tian, X. Zheng, X. Zhang, and Y. Jin, “Efficient Large-Scale Multiobjective Optimization Based on a Competitive Swarm Optimizer”, IEEE Transactions on Cybernetics, 2020, 50, 3696-3708.
    PUB | DOI | Download (ext.)
     
  • [255]
    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978396
    G. Yu, Y. Jin, and M. Olhofer, “Benchmark Problems and Performance Indicators for Search of Knee Points in Multiobjective Optimization”, IEEE Transactions on Cybernetics, 2020, 50, 3531-3544.
    PUB | DOI | Download (ext.)
     
  • [254]
    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978398
    S. Wang, J. Liu, and Y. Jin, “Surrogate-Assisted Robust Optimization of Large-Scale Networks Based on Graph Embedding”, IEEE Transactions on Evolutionary Computation, 2020, 24, 735-749.
    PUB | DOI | Download (ext.)
     
  • [253]
    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978399
    H. Wang, Y. Jin, C. Yang, and L. Jiao, “Transfer stacking from low-to high-fidelity: A surrogate-assisted bi-fidelity evolutionary algorithm”, Applied Soft Computing, 2020, 92, : 106276.
    PUB | DOI | Download (ext.)
     
  • [252]
    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978402
    X. Wang, Y. Jin, S. Schmitt, and M. Olhofer, “An adaptive Bayesian approach to surrogate-assisted evolutionary multi-objective optimization”, Information Sciences, 2020, 519, 317-331.
    PUB | DOI | Download (ext.)
     
  • [251]
    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978404
    X. Wang, Y. Jin, and K. Hao, “Evolving Local Plasticity Rules for Synergistic Learning in Echo State Networks”, IEEE Transactions on Neural Networks and Learning Systems, 2020, 31, 1363-1374.
    PUB | DOI | Download (ext.)
     
  • [250]
    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978405
    H. Zhu, and Y. Jin, “Multi-Objective Evolutionary Federated Learning”, IEEE Transactions on Neural Networks and Learning Systems, 2020, 31, 1310-1322.
    PUB | DOI | Download (ext.)
     
  • [249]
    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978406
    Y. Sun, H. Wang, B. Xue, Y. Jin, G. G. Yen, and M. Zhang, “Surrogate-Assisted Evolutionary Deep Learning Using an End-to-End Random Forest-Based Performance Predictor”, IEEE Transactions on Evolutionary Computation, 2020, 24, 350-364.
    PUB | DOI | Download (ext.)
     
  • [248]
    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978407
    Y. Tian, X. Zhang, R. Cheng, C. He, and Y. Jin, “Guiding Evolutionary Multiobjective Optimization With Generic Front Modeling”, IEEE Transactions on Cybernetics, 2020, 50, 1106-1119.
    PUB | DOI | Download (ext.)
     
  • [247]
    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978408
    X. Zhang, K. Zhou, H. Pan, L. Zhang, X. Zeng, and Y. Jin, “A Network Reduction-Based Multiobjective Evolutionary Algorithm for Community Detection in Large-Scale Complex Networks”, IEEE Transactions on Cybernetics, 2020, 50, 703-716.
    PUB | DOI | Download (ext.)
     
  • [246]
    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978410
    S. Wang, Y. Wang, D. Wang, Y. Yin, Y. Wang, and Y. Jin, “An improved random forest-based rule extraction method for breast cancer diagnosis”, Applied Soft Computing, 2020, 86, : 105941.
    PUB | DOI
     
  • [245]
    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978411
    Z. Yang, Y. Ding, Y. Jin, and K. Hao, “Immune-Endocrine System Inspired Hierarchical Coevolutionary Multiobjective Optimization Algorithm for IoT Service”, IEEE Transactions on Cybernetics, 2020, 50, 164-177.
    PUB | DOI | Download (ext.)
     
  • [244]
    2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978412
    X. Wang, Y. Jin, and K. Hao, in 2020 International Joint Conference on Neural Networks (IJCNN), Ieee, 2020, p. 1-7.
    PUB | DOI | Download (ext.)
     
  • [243]
    2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978413
    R. Fourati, B. Ammar, Y. Jin, and A. M. Alimi, in 2020 International Joint Conference on Neural Networks (IJCNN), Ieee, 2020, p. 1-8.
    PUB | DOI | Download (ext.)
     
  • [242]
    2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978414
    N. Naik, P. Jenkins, R. Cooke, J. Gillett, and Y. Jin, in 2020 IEEE Symposium Series on Computational Intelligence (SSCI), Ieee, 2020, p. 1146-1153.
    PUB | DOI | Download (ext.)
     
  • [241]
    2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978415
    H. Chen, Y. Jin, L. Wang, C. - H. Chi, and J. Shen, in 2020 International Joint Conference on Neural Networks (IJCNN), Ieee, 2020, p. 1-8.
    PUB | DOI | Download (ext.)
     
  • [240]
    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978416
    P. Liao, C. Sun, G. Zhang, and Y. Jin, “Multi-surrogate multi-tasking optimization of expensive problems”, Knowledge-Based Systems, 2020, 205, : 106262.
    PUB | DOI | Download (ext.)
     
  • [239]
    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978417
    S. Wang, J. Liu, and Y. Jin, “Robust Structural Balance in Signed Networks Using a Multiobjective Evolutionary Algorithm”, IEEE Computational Intelligence Magazine, 2020, 15, 24-35.
    PUB | DOI | Download (ext.)
     
  • [238]
    2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978418
    X. Wang, Y. Jin, S. Schmitt, M. Olhofer, and C. A. Coello Coello, in Proceedings of the 2020 Genetic and Evolutionary Computation Conference (GECCO '20), Acm, New York, NY, 2020, p. 587-594.
    PUB | DOI | Download (ext.)
     
  • [237]
    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978409
    H. Wang, and Y. Jin, “A Random Forest-Assisted Evolutionary Algorithm for Data-Driven Constrained Multiobjective Combinatorial Optimization of Trauma Systems”, IEEE Transactions on Cybernetics, 2020, 50, 536-549.
    PUB | DOI
     
  • [236]
    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978403
    Y. Tian, X. Zhang, C. Wang, and Y. Jin, “An Evolutionary Algorithm for Large-Scale Sparse Multiobjective Optimization Problems”, IEEE Transactions on Evolutionary Computation, 2020, 24, 380-393.
    PUB | DOI | Download (ext.)
     
  • [235]
    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978420
    M. Rong, D. Gong, Y. Zhang, Y. Jin, and W. Pedrycz, “Multidirectional Prediction Approach for Dynamic Multiobjective Optimization Problems”, IEEE Transactions on Cybernetics, 2019, 49, 3362-3374.
    PUB | DOI | Download (ext.)
     
  • [234]
    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978419
    C. He, L. Li, Y. Tian, X. Zhang, R. Cheng, Y. Jin, and X. Yao, “Accelerating Large-Scale Multiobjective Optimization via Problem Reformulation”, IEEE Transactions on Evolutionary Computation, 2019, 23, 949-961.
    PUB | DOI | Download (ext.)
     
  • [233]
    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978421
    X. Peng, Y. Jin, and H. Wang, “Multimodal Optimization Enhanced Cooperative Coevolution for Large-Scale Optimization”, IEEE Transactions on Cybernetics, 2019, 49, 3507-3520.
    PUB | DOI | Download (ext.)
     
  • [232]
    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978422
    Y. Hua, Y. Jin, and K. Hao, “A Clustering-Based Adaptive Evolutionary Algorithm for Multiobjective Optimization With Irregular Pareto Fronts”, IEEE Transactions on Cybernetics, 2019, 49, 2758-2770.
    PUB | DOI | Download (ext.)
     
  • [231]
    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978423
    D. Han, W. Du, W. Du, Y. Jin, and C. Wu, “An adaptive decomposition-based evolutionary algorithm for many-objective optimization”, Information Sciences, 2019, 491, 204-222.
    PUB | DOI | Download (ext.)
     
  • [230]
    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978424
    X. Wang, Y. Jin, and K. Hao, “Echo state networks regulated by local intrinsic plasticity rules for regression”, Neurocomputing, 2019, 351, 111-122.
    PUB | DOI | Download (ext.)
     
  • [229]
    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978425
    C. Yang, J. Ding, Y. Jin, C. Wang, and T. Chai, “Multitasking Multiobjective Evolutionary Operational Indices Optimization of Beneficiation Processes”, IEEE Transactions on Automation Science and Engineering, 2019, 16, 1046-1057.
    PUB | DOI | Download (ext.)
     
  • [228]
    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978427
    Y. Wang, D. Wang, N. Geng, Y. Wang, Y. Yin, and Y. Jin, “Stacking-based ensemble learning of decision trees for interpretable prostate cancer detection”, Applied Soft Computing, 2019, 77, 188-204.
    PUB | DOI | Download (ext.)
     
  • [227]
    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978426
    C. Sun, H. Wang, W. Du, and Y. Jin, “Guest Editorial: Special Issue on Computational Intelligence in Data-Driven Optimization”, IEEE Transactions on Emerging Topics in Computational Intelligence, 2019, 3, 90-92.
    PUB | DOI
     
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    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978428
    D. Guo, Y. Jin, J. Ding, and T. Chai, “Heterogeneous Ensemble-Based Infill Criterion for Evolutionary Multiobjective Optimization of Expensive Problems”, IEEE Transactions on Cybernetics, 2019, 49, 1012-1025.
    PUB | DOI | Download (ext.)
     
  • [225]
    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978429
    Q. Fan, Y. Jin, W. Wang, and X. Yan, “A performance-driven multi-algorithm selection strategy for energy consumption optimization of sea-rail intermodal transportation”, Swarm and Evolutionary Computation, 2019, 44, 1-17.
    PUB | DOI | Download (ext.)
     
  • [224]
    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978430
    Y. Wang, D. Wang, X. Ye, Y. Wang, Y. Yin, and Y. Jin, “A tree ensemble-based two-stage model for advanced-stage colorectal cancer survival prediction”, Information Sciences, 2019, 474, 106-124.
    PUB | DOI | Download (ext.)
     
  • [223]
    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978431
    M. G. Carneiro, R. Cheng, L. Zhao, and Y. Jin, “Particle swarm optimization for network-based data classification”, Neural Networks, 2019, 110, 243-255.
    PUB | DOI | Download (ext.)
     
  • [222]
    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978433
    Y. Han, D. Gong, Y. Jin, and Q. Pan, “Evolutionary Multiobjective Blocking Lot-Streaming Flow Shop Scheduling With Machine Breakdowns”, IEEE Transactions on Cybernetics, 2019, 49, 184-197.
    PUB | DOI | Download (ext.)
     
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    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978434
    W. Du, W. Zhong, Y. Tang, W. Du, and Y. Jin, “High-Dimensional Robust Multi-Objective Optimization for Order Scheduling: A Decision Variable Classification Approach”, IEEE Transactions on Industrial Informatics, 2019, 15, 293-304.
    PUB | DOI | Download (ext.)
     
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    2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978436
    Y. Zhou, Y. Jin, and J. Ding, in Advances in Neural Networks – ISNN 2019. 16th International Symposium on Neural Networks, ISNN 2019, Moscow, Russia, July 10–12, 2019, Proceedings, Part I (Eds.: H. Lu, H. Tang, Z. Wang), Springer International Publishing, Cham, 2019, p. 389-398.
    PUB | DOI | Download (ext.)
     
  • [219]
    2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978437
    E. Andrés-Pérez, D. González-Juarez, M. Martin, E. Iuliano, D. Cinquegrana, G. Carrier, J. Peter, D. Bailly, O. Amoignon, P. Dvorak, et al., in Evolutionary and Deterministic Methods for Design Optimization and Control With Applications to Industrial and Societal Problems (Eds.: E. Andrés-Pérez, L.M. González, J. Periaux, N. Gauger, D. Quagliarella, K. Giannakoglou), Springer International Publishing, Cham, 2019, p. 195-210.
    PUB | DOI | Download (ext.)
     
  • [218]
    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978448
    Z. Yang, Y. Jin, and K. Hao, “A Bio-Inspired Self-Learning Coevolutionary Dynamic Multiobjective Optimization Algorithm for Internet of Things Services”, IEEE Transactions on Evolutionary Computation, 2019, 23, 675-688.
    PUB | DOI | Download (ext.)
     
  • [217]
    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978451
    Y. Tian, R. Cheng, X. Zhang, Y. Su, and Y. Jin, “A Strengthened Dominance Relation Considering Convergence and Diversity for Evolutionary Many-Objective Optimization”, IEEE Transactions on Evolutionary Computation, 2019, 23, 331-345.
    PUB | DOI | Download (ext.)
     
  • [216]
    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978455
    Y. Jin, H. Wang, T. Chugh, D. Guo, and K. Miettinen, “Data-Driven Evolutionary Optimization: An Overview and Case Studies”, IEEE Transactions on Evolutionary Computation, 2019, 23, 442-458.
    PUB | DOI | Download (ext.)
     
  • [215]
    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978463
    H. Wang, Y. Jin, C. Sun, and J. Doherty, “Offline Data-Driven Evolutionary Optimization Using Selective Surrogate Ensembles”, IEEE Transactions on Evolutionary Computation, 2019, 23, 203-216.
    PUB | DOI | Download (ext.)
     
  • [214]
    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978479
    X. Ye, J. Li, S. Liu, J. Liang, and Y. Jin, “A hybrid instance-intensive workflow scheduling method in private cloud environment”, Natural Computing, 2019, 18, 735-746.
    PUB | DOI | Download (ext.)
     
  • [213]
    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978482
    D. - J. Wang, F. Liu, and Y. Jin, “A proactive scheduling approach to steel rolling process with stochastic machine breakdown”, Natural Computing, 2019, 18, 679-694.
    PUB | DOI | Download (ext.)
     
  • [212]
    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978495
    J. Ding, C. Yang, Y. Jin, and T. Chai, “Generalized Multitasking for Evolutionary Optimization of Expensive Problems”, IEEE Transactions on Evolutionary Computation, 2019, 23, 44-58.
    PUB | DOI | Download (ext.)
     
  • [211]
    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978503
    F. Guo, L. Ren, Y. Jin, and Y. Ding, “A dynamic SVR–ARMA model with improved fruit fly algorithm for the nonlinear fiber stretching process”, Natural Computing, 2019, 18, 747-756.
    PUB | DOI | Download (ext.)
     
  • [210]
    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978449
    L. Pan, C. He, Y. Tian, H. Wang, X. Zhang, and Y. Jin, “A Classification-Based Surrogate-Assisted Evolutionary Algorithm for Expensive Many-Objective Optimization”, IEEE Transactions on Evolutionary Computation, 2019, 23, 74-88.
    PUB | DOI
     
  • [209]
    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978461
    J. Tian, Y. Tan, J. Zeng, C. Sun, and Y. Jin, “Multiobjective Infill Criterion Driven Gaussian Process-Assisted Particle Swarm Optimization of High-Dimensional Expensive Problems”, IEEE Transactions on Evolutionary Computation, 2019, 23, 459-472.
    PUB | DOI | Download (ext.)
     
  • [208]
    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978432
    R. Jiao, S. Zeng, C. Li, Y. Jiang, and Y. Jin, “A complete expected improvement criterion for Gaussian process assisted highly constrained expensive optimization”, Information Sciences, 2019, 471, 80-96.
    PUB | DOI | Download (ext.)
     
  • [207]
    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978435
    J. Ding, C. Yang, Q. Xiao, T. Chai, and Y. Jin, “Dynamic Evolutionary Multiobjective Optimization for Raw Ore Allocation in Mineral Processing”, IEEE Transactions on Emerging Topics in Computational Intelligence, 2018, 1-13.
    PUB | DOI | Download (ext.)
     
  • [206]
    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978438
    H. Wang, Y. Jin, and J. Doherty, “A Generic Test Suite for Evolutionary Multifidelity Optimization”, IEEE Transactions on Evolutionary Computation, 2018, 22, 836-850.
    PUB | DOI | Download (ext.)
     
  • [205]
    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978439
    S. Cui, D. Wang, Y. Wang, P. - W. Yu, and Y. Jin, “An improved support vector machine-based diabetic readmission prediction”, Computer Methods and Programs in Biomedicine, 2018, 166, 123-135.
    PUB | DOI | Download (ext.)
     
  • [204]
    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978440
    Z. Xie, and Y. Jin, “An Extended Reinforcement Learning Framework to Model Cognitive Development With Enactive Pattern Representation”, IEEE Transactions on Cognitive and Developmental Systems, 2018, 10, 738-750.
    PUB | DOI | Download (ext.)
     
  • [203]
    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978441
    Y. Tian, R. Cheng, X. Zhang, F. Cheng, and Y. Jin, “An Indicator-Based Multiobjective Evolutionary Algorithm With Reference Point Adaptation for Better Versatility”, IEEE Transactions on Evolutionary Computation, 2018, 22, 609-622.
    PUB | DOI | Download (ext.)
     
  • [202]
    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978442
    H. Yu, Y. Tan, J. Zeng, C. Sun, and Y. Jin, “Surrogate-assisted hierarchical particle swarm optimization”, Information Sciences, 2018, 454-455, 59-72.
    PUB | DOI | Download (ext.)
     
  • [201]
    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978444
    S. Gu, R. Cheng, and Y. Jin, “Feature selection for high-dimensional classification using a competitive swarm optimizer”, Soft Computing, 2018, 22, 811-822.
    PUB | DOI | Download (ext.)
     
  • [200]
    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978447
    Y. Jin, K. Miettinen, and H. Ishibuchi, “Guest Editorial Evolutionary Many-Objective Optimization”, IEEE Transactions on Evolutionary Computation, 2018, 22, 1-2.
    PUB | DOI | Download (ext.)
     
  • [199]
    2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978450
    G. Yu, Y. Jin, and M. Olhofer, in 2018 IEEE Congress on Evolutionary Computation (CEC), Ieee, 2018, p. 1-8.
    PUB | DOI
     
  • [198]
    2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978467
    C. Sun, Y. Jin, Y. Tan, and K. Takadama, in Proceedings of the Genetic and Evolutionary Computation Conference (Ed.: H. Aguirre), Acm, New York, NY, 2018, p. 45-52.
    PUB | DOI
     
  • [197]
    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978457
    Z. Chen, C. K. Yeo, B. S. Lee, C. T. Lau, and Y. Jin, “Evolutionary multi-objective optimization based ensemble autoencoders for image outlier detection”, Neurocomputing, 2018, 309, 192-200.
    PUB | DOI | Download (ext.)
     
  • [196]
    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978452
    X. Zhang, X. Zheng, R. Cheng, J. Qiu, and Y. Jin, “A competitive mechanism based multi-objective particle swarm optimizer with fast convergence”, Information Sciences, 2018, 427, 63-76.
    PUB | DOI
     
  • [195]
    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978453
    C. Sun, J. Ding, J. Zeng, and Y. Jin, “A fitness approximation assisted competitive swarm optimizer for large scale expensive optimization problems”, Memetic Computing, 2018, 10, 123-134.
    PUB | DOI | Download (ext.)
     
  • [194]
    2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978458
    H. Wang, J. Doherty, and Y. Jin, in 2018 IEEE Congress on Evolutionary Computation (CEC), Ieee, 2018, p. 1-8.
    PUB | DOI | Download (ext.)
     
  • [193]
    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978459
    C. Yang, J. Ding, Y. Jin, and T. Chai, “Incremental data-driven optimization of complex systems in nonstationary environments”, Science China Information Sciences, 2018, 61, : 129205.
    PUB | DOI
     
  • [192]
    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978460
    H. Oh, A. R. Shiraz, and Y. Jin, “Morphogen diffusion algorithms for tracking and herding using a swarm of kilobots”, Soft Computing, 2018, 22, 1833-1844.
    PUB | DOI | Download (ext.)
     
  • [191]
    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978464
    C. Qian, Y. Yu, K. Tang, Y. Jin, X. Yao, and Z. - H. Zhou, “On the Effectiveness of Sampling for Evolutionary Optimization in Noisy Environments”, Evolutionary Computation, 2018, 26, 237-267.
    PUB | DOI | Download (ext.)
     
  • [190]
    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978465
    J. Lu, J. Ding, C. Liu, and Y. Jin, “Prediction of Physical Properties of Crude Oil Based on Ensemble Random Weights Neural Network”, IFAC-PapersOnLine, 2018, 51, 655-660.
    PUB | DOI | Download (ext.)
     
  • [189]
    2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978466
    Y. Tian, X. Xiang, X. Zhang, R. Cheng, and Y. Jin, in 2018 IEEE Congress on Evolutionary Computation (CEC), Ieee, 2018, p. 1-6.
    PUB | DOI
     
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    2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978469
    J. J. Doherty, H. Wang, and Y. Jin, in 2018 Applied Aerodynamics Conference, American Institute Of Aeronautics And Astronautics, Reston, Virginia, 2018.
    PUB | DOI
     
  • [187]
    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978443
    F. Li, R. Cheng, J. Liu, and Y. Jin, “A two-stage R2 indicator based evolutionary algorithm for many-objective optimization”, Applied Soft Computing, 2018, 67, 245-260.
    PUB | DOI
     
  • [186]
    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978446
    T. Chugh, Y. Jin, K. Miettinen, J. Hakanen, and K. Sindhya, “A Surrogate-Assisted Reference Vector Guided Evolutionary Algorithm for Computationally Expensive Many-Objective Optimization”, IEEE Transactions on Evolutionary Computation, 2018, 22, 129-142.
    PUB | DOI
     
  • [185]
    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978445
    X. Zhang, Y. Tian, R. Cheng, and Y. Jin, “A Decision Variable Clustering-Based Evolutionary Algorithm for Large-Scale Many-Objective Optimization”, IEEE Transactions on Evolutionary Computation, 2018, 22, 97-112.
    PUB | DOI | Download (ext.)
     
  • [184]
    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978489
    Y. Jin, and S. Kollias, “Conference Report on 2016 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2016) [Conference Reports]”, IEEE Computational Intelligence Magazine, 2017, 12, 18-19.
    PUB | DOI | Download (ext.)
     
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    2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978454
    J. Tian, C. Sun, J. Zeng, H. Yu, Y. Tan, and Y. Jin, in 2017 IEEE Symposium Series on Computational Intelligence (SSCI), Ieee, 2017, p. 1-8.
    PUB | DOI | Download (ext.)
     
  • [182]
    2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978456
    S. A. Thomas, Y. Jin, J. Bunch, and I. S. Gilmore, in 2017 IEEE Symposium Series on Computational Intelligence (SSCI), Ieee, 2017, p. 1-8.
    PUB | DOI | Download (ext.)
     
  • [181]
    2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978462
    M. G. Carneiro, T. H. Cupertino, R. Cheng, Y. Jin, and L. Zhao, in 2017 IEEE 29th International Conference on Tools with Artificial Intelligence (ICTAI), Ieee, 2017, p. 1113-1119.
    PUB | DOI | Download (ext.)
     
  • [180]
    2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978468
    C. Yang, J. Ding, K. C. Tan, and Y. Jin, in 2017 IEEE 56th Annual Conference on Decision and Control (CDC), Ieee, 2017, p. 76-81.
    PUB | DOI | Download (ext.)
     
  • [179]
    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978470
    J. Chrol-Cannon, Y. Jin, and A. Grüning, “An efficient method for online detection of polychronous patterns in spiking neural networks”, Neurocomputing, 2017, 267, 644-650.
    PUB | DOI | Download (ext.)
     
  • [178]
    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978471
    R. Cheng, Y. Jin, M. Olhofer, and B. sendhoff, “Test Problems for Large-Scale Multiobjective and Many-Objective Optimization”, IEEE Transactions on Cybernetics, 2017, 47, 4108-4121.
    PUB | DOI | Download (ext.)
     
  • [177]
    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978472
    Y. Liu, D. Gong, J. Sun, and Y. Jin, “A Many-Objective Evolutionary Algorithm Using A One-by-One Selection Strategy”, IEEE Transactions on Cybernetics, 2017, 47, 2689-2702.
    PUB | DOI | Download (ext.)
     
  • [176]
    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978474
    S. Gu, and Y. Jin, “Multi-train: A semi-supervised heterogeneous ensemble classifier”, Neurocomputing, 2017, 249, 202-211.
    PUB | DOI | Download (ext.)
     
  • [175]
    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978498
    Y. Jin, and J. Ding, “Special issue on “Data-driven evolutionary optimization””, Soft Computing, 2017, 21, 5867-5868.
    PUB | DOI | Download (ext.)
     
  • [174]
    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978499
    R. Allmendinger, M. T. M. Emmerich, J. Hakanen, Y. Jin, and E. Rigoni, “Surrogate-assisted multicriteria optimization: Complexities, prospective solutions, and business case”, Journal of Multi-Criteria Decision Analysis, 2017, 24, 5-24.
    PUB | DOI | Download (ext.)
     
  • [173]
    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978500
    Y. Jin, J. Ding, and Y. Ding, “Thematic issue on “bio-inspired learning for data analysis””, Memetic Computing, 2017, 9, 1-2.
    PUB | DOI | Download (ext.)
     
  • [172]
    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978476
    H. Wang, Y. Jin, and X. Yao, “Diversity Assessment in Many-Objective Optimization”, IEEE Transactions on Cybernetics, 2017, 47, 1510-1522.
    PUB | DOI | Download (ext.)
     
  • [171]
    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978477
    A. R. Shirazi, and Y. Jin, “A Strategy for Self-Organized Coordinated Motion of a Swarm of Minimalist Robots”, IEEE Transactions on Emerging Topics in Computational Intelligence, 2017, 1, 326-338.
    PUB | DOI | Download (ext.)
     
  • [170]
    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978480
    Y. Huang, Y. Ding, K. Hao, and Y. Jin, “A multi-objective approach to robust optimization over time considering switching cost”, Information Sciences, 2017, 394-395, 183-197.
    PUB | DOI | Download (ext.)
     
  • [169]
    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978481
    D. - J. Wang, F. Liu, and Y. Jin, “A multi-objective evolutionary algorithm guided by directed search for dynamic scheduling”, Computers & Operations Research, 2017, 79, 279-290.
    PUB | DOI | Download (ext.)
     
  • [168]
    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978483
    C. He, Y. Tian, Y. Jin, X. Zhang, and L. Pan, “A radial space division based evolutionary algorithm for many-objective optimization”, Applied Soft Computing, 2017, 61, 603-621.
    PUB | DOI | Download (ext.)
     
  • [167]
    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978484 OA
    J. Liu, Y. Chi, C. Zhu, and Y. Jin, “A time series driven decomposed evolutionary optimization approach for reconstructing large-scale gene regulatory networks based on fuzzy cognitive maps”, BMC Bioinformatics, 2017, 18, : 241.
    PUB | PDF | DOI | Download (ext.)
     
  • [166]
    2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978486
    N. Naik, P. Jenkins, R. Cooke, D. Ball, A. Foster, and Y. Jin, in 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Ieee, 2017, p. 1-6.
    PUB | DOI | Download (ext.)
     
  • [165]
    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978487
    H. Oh, A. Ramezan Shirazi, C. Sun, and Y. Jin, “Bio-inspired self-organising multi-robot pattern formation: A review”, Robotics and Autonomous Systems, 2017, 91, 83-100.
    PUB | DOI | Download (ext.)
     
  • [164]
    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978488
    W. A. Albukhanajer, Y. Jin, and J. A. Briffa, “Classifier ensembles for image identification using multi-objective Pareto features”, Neurocomputing, 2017, 238, 316-327.
    PUB | DOI | Download (ext.)
     
  • [163]
    2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978491
    H. Wang, and Y. Jin, in 2017 IEEE Congress on Evolutionary Computation (CEC), Ieee, 2017, p. 649-656.
    PUB | DOI | Download (ext.)
     
  • [162]
    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978493
    G. Yao, Y. Ding, Y. Jin, and K. Hao, “Endocrine-based coevolutionary multi-swarm for multi-objective workflow scheduling in a cloud system”, Soft Computing, 2017, 21, 4309-4322.
    PUB | DOI | Download (ext.)
     
  • [161]
    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978494
    R. Cheng, T. Rodemann, M. Fischer, M. Olhofer, and Y. Jin, “Evolutionary Many-Objective Optimization of Hybrid Electric Vehicle Control: From General Optimization to Preference Articulation”, IEEE Transactions on Emerging Topics in Computational Intelligence, 2017, 1, 97-111.
    PUB | DOI | Download (ext.)
     
  • [160]
    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978496
    X. Zhang, F. Duan, L. Zhang, F. Cheng, Y. Jin, and K. Tang, “Pattern Recommendation in Task-oriented Applications: A Multi-Objective Perspective [Application Notes]”, IEEE Computational Intelligence Magazine, 2017, 12, 43-53.
    PUB | DOI | Download (ext.)
     
  • [159]
    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978497
    Y. Tian, R. Cheng, X. Zhang, and Y. Jin, “PlatEMO: A MATLAB Platform for Evolutionary Multi-Objective Optimization [Educational Forum]”, IEEE Computational Intelligence Magazine, 2017, 12, 73-87.
    PUB | DOI | Download (ext.)
     
  • [158]
    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978501
    X. Ye, S. Liu, Y. Yin, and Y. Jin, “User-oriented many-objective cloud workflow scheduling based on an improved knee point driven evolutionary algorithm”, Knowledge-Based Systems, 2017, 135, 113-124.
    PUB | DOI | Download (ext.)
     
  • [157]
    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978478
    T. Chugh, N. Chakraborti, K. Sindhya, and Y. Jin, “A data-driven surrogate-assisted evolutionary algorithm applied to a many-objective blast furnace optimization problem”, Materials and Manufacturing Processes, 2017, 32, 1172-1178.
    PUB | DOI
     
  • [156]
    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978475
    C. Sun, Y. Jin, R. Cheng, J. Ding, and J. Zeng, “Surrogate-Assisted Cooperative Swarm Optimization of High-Dimensional Expensive Problems”, IEEE Transactions on Evolutionary Computation, 2017, 21, 644-660.
    PUB | DOI | Download (ext.)
     
  • [155]
    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978473
    H. Wang, Y. Jin, and J. Doherty, “Committee-Based Active Learning for Surrogate-Assisted Particle Swarm Optimization of Expensive Problems”, IEEE Transactions on Cybernetics, 2017, 47, 2664-2677.
    PUB | DOI | Download (ext.)
     
  • [154]
    2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978485
    U. Yolcu, Y. Jin, and E. Egrioglu, in 2016 IEEE Symposium Series on Computational Intelligence (SSCI), Ieee, 2016, p. 1-8.
    PUB | DOI | Download (ext.)
     
  • [153]
    2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978490
    J. Hakanen, T. Chugh, K. Sindhya, Y. Jin, and K. Miettinen, in 2016 IEEE Symposium Series on Computational Intelligence (SSCI), Ieee, 2016, p. 1-8.
    PUB | DOI | Download (ext.)
     
  • [152]
    2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978492
    X. Zhang, Y. Tian, R. Cheng, and Y. Jin, in 2016 IEEE Symposium Series on Computational Intelligence (SSCI), Ieee, 2016, p. 1-8.
    PUB | DOI | Download (ext.)
     
  • [151]
    2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978502
    R. Cheng, Y. Jin, M. Olhofer, and B. Sendhoff, “A Reference Vector Guided Evolutionary Algorithm for Many-Objective Optimization”, IEEE Transactions on Evolutionary Computation, 2016, 20, 773-791.
    PUB | DOI | Download (ext.)
     
  • [150]
    2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978504
    X. Peng, K. Liu, and Y. Jin, “A dynamic optimization approach to the design of cooperative co-evolutionary algorithms”, Knowledge-Based Systems, 2016, 109, 174-186.
    PUB | DOI | Download (ext.)
     
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    2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978505
    Y. Tian, X. Zhang, R. Cheng, and Y. Jin, in 2016 IEEE Congress on Evolutionary Computation (CEC), Ieee, 2016, p. 5222-5229.
    PUB | DOI | Download (ext.)
     
  • [148]
    2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978506
    X. Zhang, Y. Tian, and Y. Jin, “Approximate non-dominated sorting for evolutionary many-objective optimization”, Information Sciences, 2016, 369, 14-33.
    PUB | DOI | Download (ext.)
     
  • [147]
    2016 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978508
    S. Cheng, B. Liu, Y. Shi, Y. Jin, and B. Li, in Data Mining and Big Data (Eds.: Y. Tan, Y. Shi), Springer International Publishing, Cham, 2016, p. 3-14.
    PUB | DOI | Download (ext.)
     
  • [146]
    2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978512
    Y. Ding, T. Zhang, L. Ren, Y. Jin, K. Hao, and L. Chen, “Immune-inspired self-adaptive collaborative control allocation for multi-level stretching processes”, Information Sciences, 2016, 342, 81-95.
    PUB | DOI | Download (ext.)
     
  • [145]
    2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978513
    H. He, A. Tiwari, J. Mehnen, T. Watson, C. Maple, Y. Jin, and B. Gabrys, in 2016 IEEE Congress on Evolutionary Computation (CEC), Ieee, 2016, p. 1022-1029.
    PUB | DOI | Download (ext.)
     
  • [144]
    2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978514
    M. - H. Yusoff, J. Chrol-Cannon, and Y. Jin, “Modeling neural plasticity in echo state networks for classification and regression”, Information Sciences, 2016, 364-365, 184-196.
    PUB | DOI | Download (ext.)
     
  • [143]
    2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978517 OA
    R. Cerri, R. C. Barros, A. C. P. L. F. de Carvalho, and Y. Jin, “Reduction strategies for hierarchical multi-label classification in protein function prediction”, BMC Bioinformatics, 2016, 17, : 373.
    PUB | PDF | DOI | Download (ext.)
     
  • [142]
    2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978518
    Y. Jin, C. Yang, J. Ding, and T. Chai, in 2016 IEEE Congress on Evolutionary Computation (CEC), Ieee, 2016, p. 3769-3776.
    PUB | DOI | Download (ext.)
     
  • [141]
    2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978519
    A. Rahat, R. Everson, J. Fieldsend, Y. Jin, H. Wang, F. Neumann, and A. M. Sutton, in Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion (Ed.: T. Friedrich), Acm, New York, NY, USA, 2016, p. 1265-1266.
    PUB | DOI | Download (ext.)
     
  • [140]
    2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978520
    H. He, C. Maple, T. Watson, A. Tiwari, J. Mehnen, Y. Jin, and B. Gabrys, in 2016 IEEE Congress on Evolutionary Computation (CEC), Ieee, 2016, p. 1015-1021.
    PUB | DOI | Download (ext.)
     
  • [139]
    2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978521
    C. Brown, Y. Jin, M. Leach, and M. Hodgson, “$$\mu $$ μ JADE: adaptive differential evolution with a small population”, Soft Computing, 2016, 20, 4111-4120.
    PUB | DOI | Download (ext.)
     
  • [138]
    2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978515
    M. G. Carneiro, L. Zhao, R. Cheng, and Y. Jin, in 2016 International Joint Conference on Neural Networks (IJCNN), Ieee, 2016, p. 3737-3744.
    PUB | DOI | Download (ext.)
     
  • [137]
    2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978509
    Y. Han, D. Gong, Y. Jin, and Q. -ke Pan, “Evolutionary multi-objective blocking lot-streaming flow shop scheduling with interval processing time”, Applied Soft Computing, 2016, 42, 229-245.
    PUB | DOI | Download (ext.)
     
  • [136]
    2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978507
    H. Wang, Y. Jin, and J. O. Jansen, “Data-Driven Surrogate-Assisted Multiobjective Evolutionary Optimization of a Trauma System”, IEEE Transactions on Evolutionary Computation, 2016, 20, 939-952.
    PUB | DOI
     
  • [135]
    2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978510
    C. Sun, Y. Jin, J. Ding, J. Zeng, F. Neumann, and A. M. Sutton, in Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion (Eds.: T. Friedrich, F. Neumann, A.M. Sutton), Acm, New York, NY, USA, 2016, p. 1277-1278.
    PUB | DOI | Download (ext.)
     
  • [134]
    2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978526
    R. Cheng, Y. Jin, K. Narukawa, and B. Sendhoff, “A Multiobjective Evolutionary Algorithm Using Gaussian Process-Based Inverse Modeling”, IEEE Transactions on Evolutionary Computation, 2015, 19, 838-856.
    PUB | DOI | Download (ext.)
     
  • [133]
    2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978511
    I. - C. Wu, C. - S. Lee, S. - C. Hsu, V. Loia, Y. Jin, C. - K. Ting, S. - J. Yen, Y. - G. Wu, M. - F. Horng, and C. - L. Chen, in 2015 Conference on Technologies and Applications of Artificial Intelligence (TAAI), Ieee, 2015, p. 13-14.
    PUB | DOI | Download (ext.)
     
  • [132]
    2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978522
    T. Zhang, Y. Jin, Y. Ding, and K. Hao, “A cytokine network-inspired cooperative control system for multi-stage stretching processes in fiber production”, Soft Computing, 2015, 19, 1523-1540.
    PUB | DOI | Download (ext.)
     
  • [131]
    2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978523
    Y. Wu, Y. Jin, and X. Liu, “A directed search strategy for evolutionary dynamic multiobjective optimization”, Soft Computing, 2015, 19, 3221-3235.
    PUB | DOI | Download (ext.)
     
  • [130]
    2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978525
    D. - J. Wang, F. Liu, Y. - Z. Wang, and Y. Jin, “A knowledge-based evolutionary proactive scheduling approach in the presence of machine breakdown and deterioration effect”, Knowledge-Based Systems, 2015, 90, 70-80.
    PUB | DOI | Download (ext.)
     
  • [129]
    2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978527
    R. Cheng, and Y. Jin, “A social learning particle swarm optimization algorithm for scalable optimization”, Information Sciences, 2015, 291, 43-60.
    PUB | DOI | Download (ext.)
     
  • [128]
    2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978528
    C. Sun, Y. Jin, J. Zeng, and Y. Yu, “A two-layer surrogate-assisted particle swarm optimization algorithm”, Soft Computing, 2015, 19, 1461-1475.
    PUB | DOI | Download (ext.)
     
  • [127]
    2015 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978529
    R. Cheng, Y. Jin, and K. Narukawa, in Evolutionary Multi-Criterion Optimization. 8th International Conference, EMO 2015, Guimarães, Portugal, March 29 --April 1, 2015. Proceedings, Part I (Eds.: A. Gaspar-Cunha, C. Henggeler Antunes, C.C. Coello), Springer International Publishing, Cham, 2015, p. 127-140.
    PUB | DOI | Download (ext.)
     
  • [126]
    2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978530
    Y. Jin, Y. Ding, K. Hao, and Y. Jin, “An endocrine-based intelligent distributed cooperative algorithm for target tracking in wireless sensor networks”, Soft Computing, 2015, 19, 1427-1441.
    PUB | DOI | Download (ext.)
     
  • [125]
    2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978532
    T. Rahman, M. Mahapatra, E. Laing, and Y. Jin, “Evolutionary non-linear modelling for selecting vaccines against antigenically variable viruses”, Bioinformatics, 2015, 31, 834-840.
    PUB | DOI | Download (ext.)
     
  • [124]
    2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978536
    J. Chrol-Cannon, and Y. Jin, “Learning structure of sensory inputs with synaptic plasticity leads to interference”, Frontiers in Computational Neuroscience, 2015, 9.
    PUB | DOI | Download (ext.)
     
  • [123]
    2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978537
    S. Gu, R. Cheng, and Y. Jin, “Multi-objective ensemble generation”, Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 2015, 5, 234-245.
    PUB | DOI | Download (ext.)
     
  • [122]
    2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978538
    Y. Huang, Y. Jin, and Y. Ding, in 2015 IEEE Congress on Evolutionary Computation (CEC), Ieee, 2015, p. 1380-1387.
    PUB | DOI | Download (ext.)
     
  • [121]
    2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978540
    R. Cheng, M. Olhofer, and Y. Jin, in 2015 IEEE Congress on Evolutionary Computation (CEC), Ieee, 2015, p. 939-946.
    PUB | DOI | Download (ext.)
     
  • [120]
    2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978541
    B. Yang, Y. Ding, Y. Jin, and K. Hao, “Self-organized swarm robot for target search and trapping inspired by bacterial chemotaxis”, Robotics and Autonomous Systems, 2015, 72, 83-92.
    PUB | DOI | Download (ext.)
     
  • [119]
    2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978542
    Y. Jin, “Special issue on UKCI 2013”, Soft Computing, 2015, 19, 1443-1444.
    PUB | DOI | Download (ext.)
     
  • [118]
    2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978543
    W. A. Albukhanajer, Y. Jin, and J. A. Briffa, in 2015 IEEE Congress on Evolutionary Computation (CEC), Ieee, 2015, p. 2412-2419.
    PUB | DOI | Download (ext.)
     
  • [117]
    2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978524
    X. Zhang, Y. Tian, and Y. Jin, “A Knee Point-Driven Evolutionary Algorithm for Many-Objective Optimization”, IEEE Transactions on Evolutionary Computation, 2015, 19, 761-776.
    PUB | DOI
     
  • [116]
    2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978548
    S. Xue, C. Sun, J. Zeng, Y. Jin, and R. Cheng, “Effect of Communication Modes to Swarm Robotic Search”, The Open Electrical & Electronic Engineering Journal, 2014, 8, 240-244.
    PUB | DOI | Download (ext.)
     
  • [115]
    2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978533
    S. Gu, and Y. Jin, in 2014 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making (MCDM), Ieee, 2014, p. 9-15.
    PUB | DOI | Download (ext.)
     
  • [114]
    2014 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978544
    H. Oh, and Y. Jin, in Advances in Autonomous Robotics Systems (Eds.: M. Mistry, A. Leonardis, M. Witkowski, C. Melhuish), Springer International Publishing, Cham, 2014, p. 197-208.
    PUB | DOI | Download (ext.)
     
  • [113]
    2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978545
    Z. - H. Zhou, N. V. Chawla, Y. Jin, and G. J. Williams, “Big Data Opportunities and Challenges: Discussions from Data Analytics Perspectives [Discussion Forum]”, IEEE Computational Intelligence Magazine, 2014, 9, 62-74.
    PUB | DOI | Download (ext.)
     
  • [112]
    2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978546
    J. Chrol-Cannon, and Y. Jin, “Computational modeling of neural plasticity for self-organization of neural networks”, Biosystems, 2014, 125, 43-54.
    PUB | DOI | Download (ext.)
     
  • [111]
    2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978547
    R. Cheng, and Y. Jin, in 2014 IEEE Congress on Evolutionary Computation (CEC), Ieee, 2014, p. 3103-3110.
    PUB | DOI | Download (ext.)
     
  • [110]
    2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978549
    C. Smith, and Y. Jin, “Evolutionary multi-objective generation of recurrent neural network ensembles for time series prediction”, Neurocomputing, 2014, 143, 302-311.
    PUB | DOI | Download (ext.)
     
  • [109]
    2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978551
    Y. Jin, “IEEE CIS VP-Technical Activities Vision Statement [Society Briefs]”, IEEE Computational Intelligence Magazine, 2014, 9, 9-10.
    PUB | DOI | Download (ext.)
     
  • [108]
    2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978550
    H. Oh, and Y. Jin, in 2014 IEEE Congress on Evolutionary Computation (CEC), Ieee, 2014, p. 776-783.
    PUB | DOI | Download (ext.)
     
  • [107]
    2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978552
    M. - H. Yusoff, and Y. Jin, in 2014 14th UK Workshop on Computational Intelligence (UKCI), Ieee, 2014, p. 1-7.
    PUB | DOI | Download (ext.)
     
  • [106]
    2014 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978553
    A. Ramezan Shirazi, H. Oh, and Y. Jin, in Advances in Autonomous Robotics Systems (Eds.: M. Mistry, A. Leonardis, M. Witkowski, C. Melhuish), Springer International Publishing, Cham, 2014, p. 139-150.
    PUB | DOI | Download (ext.)
     
  • [105]
    2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978554
    C. Smith, J. Doherty, and Y. Jin, in 2014 IEEE Congress on Evolutionary Computation (CEC), Ieee, 2014, p. 2609-2616.
    PUB | DOI | Download (ext.)
     
  • [104]
    2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978555
    W. A. Albukhanajer, Y. Jin, and J. A. Briffa, in 2014 IEEE Congress on Evolutionary Computation (CEC), Ieee, 2014, p. 89-96.
    PUB | DOI | Download (ext.)
     
  • [103]
    2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978556 OA
    J. Chrol-Cannon, and Y. Jin, “On the Correlation between Reservoir Metrics and Performance for Time Series Classification under the Influence of Synaptic Plasticity”, PLoS ONE, 2014, 9, : e101792.
    PUB | PDF | DOI | Download (ext.)
     
  • [102]
    2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978557
    S. A. Thomas, and Y. Jin, “Reconstructing biological gene regulatory networks: where optimization meets big data”, Evolutionary Intelligence, 2014, 7, 29-47.
    PUB | DOI | Download (ext.)
     
  • [101]
    2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978558
    T. Liu, C. Sun, J. Zeng, S. Xue, and Y. Jin, in 2014 IEEE Congress on Evolutionary Computation (CEC), Ieee, 2014, p. 640-646.
    PUB | DOI | Download (ext.)
     
  • [100]
    2013 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978559
    W. A. Albukhanajer, Y. Jin, J. A. Briffa, and G. Williams, in Evolutionary Multi-Criterion Optimization (Eds.: R.C. Purshouse, P.J. Fleming, C.M. Fonseca, S. Greco, J. Shaw), Springer Berlin Heidelberg, Berlin, Heidelberg, 2013, p. 573-586.
    PUB | DOI | Download (ext.)
     
  • [99]
    2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978560
    Y. Jin, K. Tang, X. Yu, B. Sendhoff, and X. Yao, “A framework for finding robust optimal solutions over time”, Memetic Computing, 2013, 5, 3-18.
    PUB | DOI | Download (ext.)
     
  • [98]
    2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978561
    Y. Meng, H. Guo, and Y. Jin, “A morphogenetic approach to flexible and robust shape formation for swarm robotic systems”, Robotics and Autonomous Systems, 2013, 61, 25-38.
    PUB | DOI | Download (ext.)
     
  • [97]
    2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978562
    C. Sun, J. Zeng, J. Pan, S. Xue, and Y. Jin, “A new fitness estimation strategy for particle swarm optimization”, Information Sciences, 2013, 221, 355-370.
    PUB | DOI | Download (ext.)
     
  • [96]
    2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978563
    J. Chen, Y. Ding, Y. Jin, and K. Hao, “A synergetic immune clonal selection algorithm based multi-objective optimization method for carbon fiber drawing process”, Fibers and Polymers, 2013, 14, 1722-1730.
    PUB | DOI | Download (ext.)
     
  • [95]
    2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978564
    J. Lu, B. Li, Y. Jin, and E. Alba, in Proceedings of the 15th annual conference on Genetic and evolutionary computation (Ed.: C. Blum), Acm, New York, NY, USA, 2013, p. 447-454.
    PUB | DOI | Download (ext.)
     
  • [94]
    2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978565
    G. Jia, Y. Wang, Z. Cai, and Y. Jin, “An improved (μ+λ)-constrained differential evolution for constrained optimization”, Information Sciences, 2013, 222, 302-322.
    PUB | DOI | Download (ext.)
     
  • [93]
    2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978566
    M. N. Le, Y. S. Ong, S. Menzel, Y. Jin, and B. Sendhoff, “Evolution by Adapting Surrogates”, Evolutionary Computation, 2013, 21, 313-340.
    PUB | DOI | Download (ext.)
     
  • [92]
    2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978567
    T. Chai, Y. Jin, and B. Sendhoff, “Evolutionary Complex Engineering Optimization: Opportunities and Challenges [Guest Editorial]”, IEEE Computational Intelligence Magazine, 2013, 8, 12-15.
    PUB | DOI | Download (ext.)
     
  • [91]
    2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978568
    A. Xiao, B. Wang, and Y. Jin, in 2013 IEEE Congress on Evolutionary Computation, Ieee, 2013, p. 2879-2886.
    PUB | DOI | Download (ext.)
     
  • [90]
    2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978569
    S. P. E. N. C. E. R. A. N. G. U. S. THOMAS, and Y. Jin, “EVOLVING CONNECTIVITY BETWEEN GENETIC OSCILLATORS AND SWITCHES USING EVOLUTIONARY ALGORITHMS”, Journal of Bioinformatics and Computational Biology, 2013, 11, : 1341001.
    PUB | DOI | Download (ext.)
     
  • [89]
    2013 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978571
    L. Zhuang, K. Tang, and Y. Jin, in Intelligent Data Engineering and Automated Learning – IDEAL 2013 (Eds.: H. Yin, K. Tang, Y. Gao, F. Klawonn, M. Lee, T. Weise, B. Li, X. Yao), Springer Berlin Heidelberg, Berlin, Heidelberg, 2013, p. 366-375.
    PUB | DOI | Download (ext.)
     
  • [88]
    2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978572
    S. A. Thomas, Y. Jin, E. Laing, and C. P. Smith, in 2013 13th UK Workshop on Computational Intelligence (UKCI), Ieee, 2013, p. 24-30.
    PUB | DOI | Download (ext.)
     
  • [87]
    2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978573
    C. Smith, J. Doherty, and Y. Jin, in 2013 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments (CIDUE), Ieee, 2013, p. 9-16.
    PUB | DOI | Download (ext.)
     
  • [86]
    2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978575
    R. Cheng, and Y. Jin, in 2013 13th UK Workshop on Computational Intelligence (UKCI), Ieee, 2013, p. 82-87.
    PUB | DOI | Download (ext.)
     
  • [85]
    2013 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978576
    S. A. Thomas, and Y. Jin, in Evolutionary Multi-Criterion Optimization (Eds.: R.C. Purshouse, P.J. Fleming, C.M. Fonseca, S. Greco, J. Shaw), Springer Berlin Heidelberg, Berlin, Heidelberg, 2013, p. 696-709.
    PUB | DOI | Download (ext.)
     
  • [84]
    2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978574
    C. Sun, J. Zeng, J. Pan, and Y. Jin, in Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments (CIDUE), Ieee, 2013, p. 1-8.
    PUB | DOI | Download (ext.)
     
  • [83]
    2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978577
    Y. Jin, “2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (IEEE CIBCB 2012) [Conference Reports]”, IEEE Computational Intelligence Magazine, 2012, 7, 17-17.
    PUB | DOI | Download (ext.)
     
  • [82]
    2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978578
    J. Yin, Y. Meng, and Y. Jin, “A Developmental Approach to Structural Self-Organization in Reservoir Computing”, IEEE Transactions on Autonomous Mental Development, 2012, 4, 273-289.
    PUB | DOI | Download (ext.)
     
  • [81]
    2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978579
    H. Guo, Y. Jin, and Y. Meng, “A morphogenetic framework for self-organized multirobot pattern formation and boundary coverage”, ACM Transactions on Autonomous and Adaptive Systems, 2012, 7, 1-23.
    PUB | DOI | Download (ext.)
     
  • [80]
    2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978580
    M. N. Le, Y. S. Ong, Y. Jin, and B. Sendhoff, “A Unified Framework for Symbiosis of Evolutionary Mechanisms with Application to Water Clusters Potential Model Design”, IEEE Computational Intelligence Magazine, 2012, 7, 20-35.
    PUB | DOI | Download (ext.)
     
  • [79]
    2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978581
    D. Bush, and Y. Jin, “Calcium control of triphasic hippocampal STDP”, Journal of Computational Neuroscience, 2012, 33, 495-514.
    PUB | DOI | Download (ext.)
     
  • [78]
    2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978582
    S. A. Thomas, and Y. Jin, in 2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), Ieee, 2012, p. 28-34.
    PUB | DOI | Download (ext.)
     
  • [77]
    2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978583
    S. Doncieux, Y. Jin, J. - B. Mouret, and J. H. Moore, in Proceedings of the 14th annual conference companion on Genetic and evolutionary computation (Ed.: T. Soule), Acm, New York, NY, USA, 2012, p. 355-356.
    PUB | DOI | Download (ext.)
     
  • [76]
    2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978584
    L. Schramm, Y. Jin, and B. Sendhoff, “Evolution and Analysis of Genetic Networks for Stable Cellular Growth and Regeneration”, Artificial Life, 2012, 18, 425-444.
    PUB | DOI | Download (ext.)
     
  • [75]
    2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978585
    W. A. Albukhanajer, Y. Jin, J. A. Briffa, and G. Williams, in 2012 IEEE Congress on Evolutionary Computation, Ieee, 2012, p. 1-8.
    PUB | DOI | Download (ext.)
     
  • [74]
    2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978586
    S. Gu, and Y. Jin, in 2012 12th UK Workshop on Computational Intelligence (UKCI), Ieee, 2012, p. 1-8.
    PUB | DOI | Download (ext.)
     
  • [73]
    2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978587
    L. Schramm, Y. Jin, and B. Sendhoff, in 2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), Ieee, 2012, p. 61-68.
    PUB | DOI | Download (ext.)
     
  • [72]
    2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978588
    J. Chrol-Cannon, A. Gruning, and Y. Jin, in The 2012 International Joint Conference on Neural Networks (IJCNN), Ieee, 2012, p. 1-6.
    PUB | DOI | Download (ext.)
     
  • [71]
    2011 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978589
    Y. Meng, H. Guo, and Y. Jin, in New Horizons in Evolutionary Robotics (Eds.: S. Doncieux, N. Bredèche, J.-B. Mouret), Springer Berlin Heidelberg, Berlin, Heidelberg, 2011, p. 123-137.
    PUB | DOI | Download (ext.)
     
  • [70]
    2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978590
    Y. Meng, Y. Zhang, and Y. Jin, “Autonomous Self-Reconfiguration of Modular Robots by Evolving a Hierarchical Mechanochemical Model”, IEEE Computational Intelligence Magazine, 2011, 6, 43-54.
    PUB | DOI | Download (ext.)
     
  • [69]
    2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978591
    Y. Meng, Y. Zhang, A. Sampath, Y. Jin, and B. Sendhoff, in 2011 IEEE International Conference on Robotics and Automation, Ieee, 2011, p. 267-272.
    PUB | DOI | Download (ext.)
     
  • [68]
    2011 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978592
    L. Schramm, Y. Jin, and B. Sendhoff, in Advances in Artificial Life. Darwin Meets von Neumann (Eds.: G. Kampis, I. Karsai, E. Szathmáry), Springer Berlin Heidelberg, Berlin, Heidelberg, 2011, p. 27-34.
    PUB | DOI | Download (ext.)
     
  • [67]
    2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978594
    Y. Jin, Y. Meng, J. Weng, and N. Kasabov, “Guest Editorial Special Issue on Computational Modeling of Neural and Brain Development”, IEEE Transactions on Autonomous Mental Development, 2011, 3, 273-275.
    PUB | DOI | Download (ext.)
     
  • [66]
    2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978593
    Y. Jin, and Y. Meng, “Emergence of robust regulatory motifs from in silico evolution of sustained oscillation”, Biosystems, 2011, 103, 38-44.
    PUB | DOI | Download (ext.)
     
  • [65]
    2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978595
    A. M. Tyrrell, and Y. Jin, “Guest Editorial: Special Issue on Evolving Developmental Systems”, IEEE Transactions on Evolutionary Computation, 2011, 15, 285-286.
    PUB | DOI | Download (ext.)
     
  • [64]
    2011 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978596
    Y. Jin, and Y. Meng, in Bio-Inspired Self-Organizing Robotic Systems (Eds.: Y. Meng, Y. Jin), Springer Berlin Heidelberg, Berlin, Heidelberg, 2011, p. 3-23.
    PUB | DOI | Download (ext.)
     
  • [63]
    2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978597
    Y. Jin, and Y. Meng, “Morphogenetic Robotics: An Emerging New Field in Developmental Robotics”, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), 2011, 41, 145-160.
    PUB | DOI | Download (ext.)
     
  • [62]
    2011 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978598
    Y. Meng, and Y. Jin, in Bio-Inspired Self-Organizing Robotic Systems (Eds.: Y. Meng, Y. Jin), Springer Berlin Heidelberg, Berlin, Heidelberg, 2011, p. 143-171.
    PUB | DOI | Download (ext.)
     
  • [61]
    2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978599
    M. Liu, S. Zhang, and Y. Jin, “Multi-sensor optimal fusion filters for delayed nonlinear intelligent systems based on a unified model”, Neural Networks, 2011, 24, 280-290.
    PUB | DOI | Download (ext.)
     
  • [60]
    2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978600
    Y. Zheng, Y. Meng, and Y. Jin, “Object recognition using a bio-inspired neuron model with bottom-up and top-down pathways”, Neurocomputing, 2011, 74, 3158-3169.
    PUB | DOI | Download (ext.)
     
  • [59]
    2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978601
    L. Schramm, Y. Jin, and B. Sendhoff, in 2011 IEEE Symposium on Artificial Life (ALIFE), Ieee, 2011, p. 203-210.
    PUB | DOI | Download (ext.)
     
  • [58]
    2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978602
    E. Gehrmann, C. Gläßer, Y. Jin, B. Sendhoff, B. Drossel, and K. Hamacher, “Robustness of glycolysis in yeast to internal and external noise”, Physical Review E, 2011, 84, : 021913.
    PUB | DOI | Download (ext.)
     
  • [57]
    2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978603
    Y. Jin, “Surrogate-assisted evolutionary computation: Recent advances and future challenges”, Swarm and Evolutionary Computation, 2011, 1, 61-70.
    PUB | DOI | Download (ext.)
     
  • [56]
    2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978604
    H. Guo, Y. Meng, and Y. Jin, in 2011 IEEE International Conference on Robotics and Automation, Ieee, 2011, p. 3205-3210.
    PUB | DOI | Download (ext.)
     
  • [55]
    2011 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978605
    B. Jones, Y. Jin, B. Sendhoff, and X. Yao, in Advances in Artificial Life. Darwin Meets von Neumann (Eds.: G. Kampis, I. Karsai, E. Szathmáry), Springer Berlin Heidelberg, Berlin, Heidelberg, 2011, p. 18-26.
    PUB | DOI | Download (ext.)
     
  • [54]
    2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978606
    Y. Jin, and J. Trommler, in 2010 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, Ieee, 2010, p. 1-8.
    PUB | DOI | Download (ext.)
     
  • [53]
    2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978607
    Y. Jin, Y. Meng, and H. Guo, in 2010 UK Workshop on Computational Intelligence (UKCI), Ieee, 2010, p. 1-6.
    PUB | DOI | Download (ext.)
     
  • [52]
    2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978608
    H. Guo, Y. Meng, and Y. Jin, in IEEE Congress on Evolutionary Computation, Ieee, 2010, p. 1-8.
    PUB | DOI | Download (ext.)
     
  • [51]
    2010 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978609
    B. Jones, Y. Jin, B. Sendhoff, and X. Yao, in From Animals to Animats 11 (Eds.: S. Doncieux, B. Girard, A. Guillot, J. Hallam, J.-A. Meyer, J.-B. Mouret), Springer Berlin Heidelberg, Berlin, Heidelberg, 2010, p. 587-596.
    PUB | DOI | Download (ext.)
     
  • [50]
    2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978610
    T. Steiner, Y. Jin, B. Sendhoff, M. Pelikan, and J. Branke, in Proceedings of the 12th annual conference on Genetic and evolutionary computation, Acm, New York, NY, USA, 2010, p. 571-578.
    PUB | DOI | Download (ext.)
     
  • [49]
    2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978611
    Y. Zheng, Y. Meng, and Y. Jin, in The 2010 International Joint Conference on Neural Networks (IJCNN), Ieee, 2010, p. 1-8.
    PUB | DOI | Download (ext.)
     
  • [48]
    2010 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978612
    Y. Jin, and Y. Meng, “Special Issue on Evolutionary and Developmental Robotics [Guest Editorial”, IEEE Computational Intelligence Magazine, 2010, 5, 9-9.
    PUB | DOI | Download (ext.)
     
  • [47]
    2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978613
    Y. Meng, Y. Jin, J. Yin, and M. Conforth, in The 2010 International Joint Conference on Neural Networks (IJCNN), Ieee, 2010, p. 1-6.
    PUB | DOI | Download (ext.)
     
  • [46]
    2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978615
    Y. Jin, S. Oh, and M. Jeon, in IEEE Congress on Evolutionary Computation, Ieee, 2010, p. 1-8.
    PUB | DOI | Download (ext.)
     
  • [45]
    2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978617
    X. Yu, Y. Jin, K. Tang, and X. Yao, in IEEE Congress on Evolutionary Computation, Ieee, 2010, p. 1-6.
    PUB | DOI | Download (ext.)
     
  • [44]
    2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978618
    H. Guo, Y. Meng, and Y. Jin, “A cellular mechanism for multi-robot construction via evolutionary multi-objective optimization of a gene regulatory network”, Biosystems, 2009, 98, 193-203.
    PUB | DOI | Download (ext.)
     
  • [43]
    2009 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978619
    Y. Jin, L. Schramm, and B. Sendhoff, in Advances in Neuro-Information Processing. 15th International Conference, ICONIP 2008, Auckland, New Zealand, November 25-28, 2008, Revised Selected Papers, Part I (Eds.: M. Köppen, N. Kasabov, G. Coghill), Springer Berlin Heidelberg, Berlin, Heidelberg, 2009, p. 48-55.
    PUB | DOI | Download (ext.)
     
  • [42]
    2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978620
    Y. Jin, and B. Sendhoff, “A systems approach to evolutionary multiobjective structural optimization and beyond”, IEEE Computational Intelligence Magazine, 2009, 4, 62-76.
    PUB | DOI | Download (ext.)
     
  • [41]
    2009 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978621
    T. Okabe, Y. Jin, and B. Sendhoff, in Multi-Objective Memetic Algorithms (Eds.: C.-K. Goh, Y.-S. Ong, K.C. Tan), Springer Berlin Heidelberg, Berlin, Heidelberg, 2009, p. 281-307.
    PUB | DOI | Download (ext.)
     
  • [40]
    2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978622
    Y. Jin, and B. Sendhoff, “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), 2009, 39, 373-373.
    PUB | DOI | Download (ext.)
     
  • [39]
    2009 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978623
    B. Jones, Y. Jin, X. Yao, and B. Sendhoff, in Advances in Neuro-Information Processing. 15th International Conference, ICONIP 2008, Auckland, New Zealand, November 25-28, 2008, Revised Selected Papers, Part I (Eds.: M. Köppen, N. Kasabov, G. Coghill), Springer Berlin Heidelberg, Berlin, Heidelberg, 2009, p. 216-223.
    PUB | DOI | Download (ext.)
     
  • [38]
    2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978624
    Y. Jin, R. Gruna, I. Paenke, and B. Sendhoff, in 2009 IEEE Symposium on Computational Intelligence in Milti-Criteria Decision-Making, Ieee, 2009, p. 38-45.
    PUB | DOI | Download (ext.)
     
  • [37]
    2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978625
    Y. Jin, and J. Hallinan, “Evolving gene regulatory networks”, Biosystems, 2009, 98, vi-vii.
    PUB | DOI | Download (ext.)
     
  • [36]
    2009 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978626
    Y. Jin, and B. Sendhoff, in Fuzzy Systems in Bioinformatics and Computational Biology (Eds.: Y. Jin, L. Wang), Springer Berlin Heidelberg, Berlin, Heidelberg, 2009, p. 315-327.
    PUB | DOI | Download (ext.)
     
  • [35]
    2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978627
    T. Steiner, J. Trommler, M. Brenn, Y. Jin, and B. Sendhoff, in 2009 IEEE Congress on Evolutionary Computation, Ieee, 2009, p. 2225-2232.
    PUB | DOI | Download (ext.)
     
  • [34]
    2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978628
    Y. Jin, Y. Meng, and B. Sendhoff, in 2009 IEEE Symposium on Artificial Life, Ieee, 2009, p. 61-68.
    PUB | DOI | Download (ext.)
     
  • [33]
    2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978629
    M. N. Le, Y. - S. Ong, Y. Jin, and B. Sendhoff, “Lamarckian memetic algorithms: local optimum and connectivity structure analysis”, Memetic Computing, 2009, 1, 175-190.
    PUB | DOI | Download (ext.)
     
  • [32]
    2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978630
    M. Meeter, R. Veldkamp, and Y. Jin, “Multiple memory stores and operant conditioning: A rationale for memory’s complexity”, Brain and Cognition, 2009, 69, 200-208.
    PUB | DOI | Download (ext.)
     
  • [31]
    2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978631
    Y. Jin, R. Gruna, and B. Sendhoff, “Pareto analysis of evolutionary and learning systems”, Frontiers of Computer Science in China, 2009, 3, 4-17.
    PUB | DOI | Download (ext.)
     
  • [30]
    2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978632
    Y. Jin, H. Guo, and Y. Meng, in 2009 Third IEEE International Conference on Self-Adaptive and Self-Organizing Systems, Ieee, 2009, p. 154-164.
    PUB | DOI | Download (ext.)
     
  • [29]
    2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978633
    H. Guo, Y. Meng, and Y. Jin, in 2009 IEEE Symposium on Artificial Life, Ieee, 2009, p. 53-60.
    PUB | DOI | Download (ext.)
     
  • [28]
    2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978634 OA
    T. Steiner, Y. Jin, and B. Sendhoff, “Vector Field Embryogeny”, PLoS ONE, 2009, 4, : e8177.
    PUB | PDF | DOI | Download (ext.)
     
  • [27]
    2008 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978636
    A. Zhou, Q. Zhang, Y. Jin, and B. Sendhoff, in 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence), Ieee, 2008, p. 1447-1454.
    PUB | DOI | Download (ext.)
     
  • [26]
    2008 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978637
    Q. Zhang, A. Zhou, and Y. Jin, “Errata to “RM-MEDA: A Regularity Model-Based Multiobjective Estimation of Distribution Algorithm” [Feb 08 41-63]”, IEEE Transactions on Evolutionary Computation, 2008, 12, 392-392.
    PUB | DOI | Download (ext.)
     
  • [25]
    2008 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978638
    D. Lim, Y. - S. Ong, Y. Jin, and B. Sendhoff, in 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 (Eds.: D.-S. Huang, D.C. Wunsch, D.S. Levine, K.-H. Jo), Springer Berlin Heidelberg, Berlin, Heidelberg, 2008, p. 235-242.
    PUB | DOI | Download (ext.)
     
  • [24]
    2008 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978639
    Y. Jin, B. Sendhoff, and E. Körner, in Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases (Eds.: A. Ghosh, S. Dehuri, S. Ghosh), Springer Berlin Heidelberg, Berlin, Heidelberg, 2008, p. 71-90.
    PUB | DOI | Download (ext.)
     
  • [23]
    2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978640
    D. Lim, Y. - S. Ong, Y. Jin, B. Sendhoff, and H. Lipson, in Proceedings of the 9th annual conference on Genetic and evolutionary computation, Acm, New York, NY, USA, 2007, p. 1288-1295.
    PUB | DOI | Download (ext.)
     
  • [22]
    2007 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978641
    D. Lim, Y. - S. Ong, Y. Jin, B. Sendhoff, and B. - S. Lee, “Efficient Hierarchical Parallel Genetic Algorithms using Grid computing”, Future Generation Computer Systems, 2007, 23, 658-670.
    PUB | DOI | Download (ext.)
     
  • [21]
    2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978642
    T. Steiner, L. Schramm, Y. Jin, and B. Sendhoff, in 2007 IEEE Congress on Evolutionary Computation, Ieee, 2007, p. 867-874.
    PUB | DOI | Download (ext.)
     
  • [20]
    2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978643
    A. Zhou, Q. Zhang, Y. Jin, B. Sendhoff, E. Tsang, and H. Lipson, in Proceedings of the 9th annual conference on Genetic and evolutionary computation, Acm, New York, NY, USA, 2007, p. 617-623.
    PUB | DOI | Download (ext.)
     
  • [19]
    2007 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978644
    L. Gräning, Y. Jin, and B. Sendhoff, in Evolutionary Computation in Dynamic and Uncertain Environments (Eds.: S. Yang, Y.-S. Ong, Y. Jin), Springer Berlin Heidelberg, Berlin, Heidelberg, 2007, p. 225-250.
    PUB | DOI | Download (ext.)
     
  • [18]
    2007 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978645
    D. Lim, Y. - S. Ong, M. - H. Lim, and Y. Jin, in Evolutionary Computation in Dynamic and Uncertain Environments (Eds.: S. Yang, Y.-S. Ong, Y. Jin), Springer Berlin Heidelberg, Berlin, Heidelberg, 2007, p. 437-456.
    PUB | DOI | Download (ext.)
     
  • [17]
    2006 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978646
    H. Wang, S. Kwong, Y. Jin, and C. - H. Tsang, in Multi-Objective Machine Learning (Ed.: Y. Jin), Springer-Verlag, Berlin/Heidelberg, 2006, p. 339-364.
    PUB | DOI | Download (ext.)
     
  • [16]
    2006 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978647
    S. Yang, Y. - S. Ong, and Y. Jin, “Editorial to special issue on evolutionary computation in dynamic and uncertain environments”, Genetic Programming and Evolvable Machines, 2006, 7, 293-294.
    PUB | DOI | Download (ext.)
     
  • [15]
    2006 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978648
    J. Branke, and Y. Jin, “Guest Editorial Special Issue on Evolutionary Computation in the Presence of Uncertainty”, IEEE Transactions on Evolutionary Computation, 2006, 10, 377-379.
    PUB | DOI | Download (ext.)
     
  • [14]
    2006 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978649
    D. Lim, Y. - S. Ong, Y. Jin, B. Sendhoff, and B. S. Lee, “Inverse multi-objective robust evolutionary design”, Genetic Programming and Evolvable Machines, 2006, 7, 383-404.
    PUB | DOI | Download (ext.)
     
  • [13]
    2006 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978650
    K. Foli, T. Okabe, M. Olhofer, Y. Jin, and B. Sendhoff, “Optimization of micro heat exchanger: CFD, analytical approach and multi-objective evolutionary algorithms”, International Journal of Heat and Mass Transfer, 2006, 49, 1090-1099.
    PUB | DOI | Download (ext.)
     
  • [12]
    2006 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978651
    Y. Jin, B. Sendhoff, and E. Körner, in Multi-Objective Machine Learning (Ed.: Y. Jin), Springer-Verlag, Berlin/Heidelberg, 2006, p. 289-312.
    PUB | DOI | Download (ext.)
     
  • [11]
    2005 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978652
    H. Wang, S. Kwong, Y. Jin, W. Wei, and K. - F. Man, “Agent-Based Evolutionary Approach for Interpretable Rule-Based Knowledge Extraction”, IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews), 2005, 35, 143-155.
    PUB | DOI | Download (ext.)
     
  • [10]
    2005 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978653
    Y. Jin, and J. Branke, “Evolutionary Optimization in Uncertain Environments—A Survey”, IEEE Transactions on Evolutionary Computation, 2005, 9, 303-317.
    PUB | DOI | Download (ext.)
     
  • [9]
    2005 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978654
    Y. Jin, “Guest Editorial Special Issue on Knowledge Extraction and Incorporation in Evolutionary Computation”, IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews), 2005, 35, 129-130.
    PUB | DOI | Download (ext.)
     
  • [8]
    2005 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978655
    H. Wang, S. Kwong, Y. Jin, W. Wei, and K. F. Man, “Multi-objective hierarchical genetic algorithm for interpretable fuzzy rule-based knowledge extraction”, Fuzzy Sets and Systems, 2005, 149, 149-186.
    PUB | DOI | Download (ext.)
     
  • [7]
    2004 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978656
    Y. Jin, and B. Sendhoff, in Genetic and Evolutionary Computation – GECCO 2004. Genetic and Evolutionary Computation Conference, Seattle, WA, USA, June 26-30, 2004. Proceedings, Part I (Ed.: K. Deb), Springer, Berlin, Heidelberg, 2004, p. 688-699.
    PUB | DOI
     
  • [6]
    2003 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978657
    Y. Jin, T. Okabe, and B. Sendhoff, in Genetic and Evolutionary Computation — GECCO 2003 (Eds.: E. Cantú-Paz, J.A. Foster, K. Deb, L.D. Davis, R. Roy, U.-M. O’Reilly, H.-G. Beyer, R. Standish, G. Kendall, S. Wilson, et al.), Springer Berlin Heidelberg, Berlin, Heidelberg, 2003, p. 636-637.
    PUB | DOI | Download (ext.)
     
  • [5]
    2003 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978658
    Y. Jin, and B. Sendhoff, in Evolutionary Multi-Criterion Optimization (Eds.: C.M. Fonseca, P.J. Fleming, E. Zitzler, L. Thiele, K. Deb), Springer Berlin Heidelberg, Berlin, Heidelberg, 2003, p. 237-251.
    PUB | DOI | Download (ext.)
     
  • [4]
    2000 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978659
    Y. Jin, “Fuzzy modeling of high-dimensional systems: complexity reduction and interpretability improvement”, IEEE Transactions on Fuzzy Systems, 2000, 8, 212-221.
    PUB | DOI | Download (ext.)
     
  • [3]
    1999 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978660
    Y. Jin, and W. von Seelen, “Evaluating flexible fuzzy controllers via evolution strategies”, Fuzzy Sets and Systems, 1999, 108, 243-252.
    PUB | DOI | Download (ext.)
     
  • [2]
    1995 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978661
    Y. Jin, J. Jiang, and J. Zhu, “Adaptive fuzzy modelling and identification with its applications”, International Journal of Systems Science, 1995, 26, 197-212.
    PUB | DOI | Download (ext.)
     
  • [1]
    1995 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978684
    Y. Jin, J. Jiang, and J. Zhu, “Neural network based fuzzy identification and its application to modeling and control of complex systems”, IEEE Transactions on Systems, Man, and Cybernetics, 1995, 25, 990-997.
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