Yaochu Jin

yaochu.jin@uni-bielefeld.de
ORCID logo https://orcid.org/0000-0003-1100-0631

PEVZ-ID
308725127

442 Publikationen

Alle markieren

  • [442]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2988584
    Tian, M., Chen, M., Du, W., Tang, Y. & Jin, Y. (2024). An Enhanced Differential Grouping Method for Large-Scale Overlapping Problems. IEEE Transactions on Evolutionary Computation, 1-1. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/TEVC.2024.3390719.
    PUB | DOI
     
  • [441]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2988508
    Huang, B., Cheng, R., Li, Z., Jin, Y. & Tan, K.C. (2024). EvoX: A Distributed GPU-Accelerated Framework for Scalable Evolutionary Computation. IEEE Transactions on Evolutionary Computation, 1-1. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/TEVC.2024.3388550.
    PUB | DOI
     
  • [440]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2988180
    Ming, F., Gong, W., Wang, L. & Jin, Y. (2024). Constrained Multi-Objective Optimization With Deep Reinforcement Learning Assisted Operator Selection. IEEE/CAA Journal of Automatica Sinica, 11(4), 919-931. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/JAS.2023.123687.
    PUB | DOI | WoS
     
  • [439]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2986532
    Ming, F., Gong, W. & Jin, Y. (2024). Even Search in a Promising Region for Constrained Multi-Objective Optimization. IEEE/CAA Journal of Automatica Sinica, 11(2), 474-486. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/JAS.2023.123792.
    PUB | DOI | WoS
     
  • [438]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2988376
    Fang, W., Du, W., He, R., Tang, Y., Jin, Y. & Yen, G.G. (2024). Diffusion Model-Based Multiobjective Optimization for Gasoline Blending Scheduling. IEEE Computational Intelligence Magazine, 19(2), 61-76. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/MCI.2024.3363980.
    PUB | DOI
     
  • [437]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2988289
    Ming, F., Gong, W. & Jin, Y. (2024). Growing Neural Gas Network-based surrogate-assisted Pareto set learning for multimodal multi-objective optimization. Swarm and Evolutionary Computation, 87: 101541. Elsevier BV. doi:10.1016/j.swevo.2024.101541.
    PUB | DOI
     
  • [436]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2988280
    Wang, Z., Wang, H., Tian, C. & Jin, Y. (2024). Efficient adversarial training with multi-fidelity optimization for robust neural network. Neurocomputing: 127627. Elsevier BV. doi:10.1016/j.neucom.2024.127627.
    PUB | DOI
     
  • [435]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2988267
    Zhang, W., Du, W., Du, W., He, R. & Jin, Y. (2024). Large-Scale Continuous-Time Crude Oil Scheduling: A Variable-Length Evolutionary Optimization Approach. IEEE Transactions on Automation Science and Engineering, 1-16. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/TASE.2024.3380744.
    PUB | DOI
     
  • [434]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2982949
    Li, N., Ma, L., Yu, G., Xue, B., Zhang, M. & Jin, Y. (2024). Survey on Evolutionary Deep Learning: Principles, Algorithms, Applications, and Open Issues. ACM Computing Surveys, 56(2), 1-34. Association for Computing Machinery (ACM). doi:10.1145/3603704.
    PUB | DOI | WoS
     
  • [433]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2988102
    Chen, X., Bai, R., Qu, R., Dong, J. & Jin, Y. (2024). Deep Reinforcement Learning Assisted Genetic Programming Ensemble Hyper-Heuristics for Dynamic Scheduling of Container Port Trucks. IEEE Transactions on Evolutionary Computation, 1-1. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/TEVC.2024.3381042.
    PUB | DOI
     
  • [432]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2988103
    Wu, H., Jin, Y., Gao, K., Ding, J. & Cheng, R. (2024). Surrogate-Assisted Evolutionary Multi-Objective Optimization of Medium-Scale Problems by Random Grouping and Sparse Gaussian Modeling. IEEE Transactions on Emerging Topics in Computational Intelligence, 1-16. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/TETCI.2024.3372378.
    PUB | DOI
     
  • [431]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2988030
    Pan, L., Lin, J., Wang, H., He, C., Tan, K.C. & Jin, Y. (2024). Computationally Expensive High-Dimensional Multiobjective Optimization via Surrogate-Assisted Reformulation and Decomposition. IEEE Transactions on Evolutionary Computation, 1-1. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/TEVC.2024.3380327.
    PUB | DOI
     
  • [430]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2987810
    Tan, X., Qu, C., Xiong, J., Zhang, J., Qiu, X. & Jin, Y. (2024). Model-Based Off-Policy Deep Reinforcement Learning With Model-Embedding. IEEE Transactions on Emerging Topics in Computational Intelligence, 1-13. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/TETCI.2024.3369636.
    PUB | DOI
     
  • [429]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2987559
    Liu, S., Yan, X. & Jin, Y. (2024). An edge-aware graph autoencoder trained on scale-imbalanced data for traveling salesman problems. Knowledge-Based Systems: 111559. Elsevier BV. doi:10.1016/j.knosys.2024.111559.
    PUB | DOI
     
  • [428]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2987549
    Wu, L., Jin, Y., Yan, Y. & Hao, K. (2024). FL-OTCSEnc: Towards secure federated learning with deep compressed sensing. Knowledge-Based Systems, 291: 111534. Elsevier BV. doi:10.1016/j.knosys.2024.111534.
    PUB | DOI
     
  • [427]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2987476
    Qian, F., Jin, Y., Yu, X., Tang, Y. & Marin, G.B. (2024). Guest Editorial Special Issue on Learning Theories and Methods With Application to Digitized Process Manufacturing. IEEE Transactions on Neural Networks and Learning Systems, 35(3), 2914-2916. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/TNNLS.2024.3362091.
    PUB | DOI
     
  • [426]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2987419
    Wu, H., Chen, Q., Jin, Y., Ding, J. & Chai, T. (2024). A Surrogate-Assisted Expensive Constrained Multi-Objective Optimization Algorithm Based on Adaptive Switching of Acquisition Functions. IEEE Transactions on Emerging Topics in Computational Intelligence, 1-15. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/TETCI.2024.3359517.
    PUB | DOI
     
  • [425]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2987288
    Xie, G., Wang, J., Liu, J., Lyu, J., Liu, Y., Wang, C., Zheng, F. & Jin, Y. (2024). IM-IAD: Industrial Image Anomaly Detection Benchmark in Manufacturing. IEEE Transactions on Cybernetics, 1-14. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/TCYB.2024.3357213.
    PUB | DOI
     
  • [424]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2987055
    Yang, Z., Zhang, J., Jiang, Y. & Jin, Y. (2024). An Energy-Efficient Convolution-Based Partitioned Collaborative Perception Algorithm for Large-Scale IoT Services. IEEE Transactions on Industrial Informatics, 1-10. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/TII.2024.3353853.
    PUB | DOI
     
  • [423]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2987054
    Yue, P., Jin, Y., Dai, X., Feng, Z. & Cui, D. (2024). Reinforcement Learning for Scalable Train Timetable Rescheduling With Graph Representation. IEEE Transactions on Intelligent Transportation Systems, 1-14. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/TITS.2023.3344468.
    PUB | DOI
     
  • [422]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2986971
    Luo, J., Dong, Y., Liu, Q., Zhu, Z., Cao, W., Tan, K.C. & Jin, Y. (2024). A New Multitask Joint Learning Framework for Expensive Multi-Objective Optimization Problems. IEEE Transactions on Emerging Topics in Computational Intelligence, 1-16. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/TETCI.2024.3359042.
    PUB | DOI
     
  • [421]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2986970
    Song, Z., Wang, H., Xue, B., Zhang, M. & Jin, Y. (2024). Balancing Objective Optimization and Constraint Satisfaction in Expensive Constrained Evolutionary Multi-Objective Optimization. IEEE Transactions on Evolutionary Computation, 1-1. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/TEVC.2023.3300181.
    PUB | DOI
     
  • [420]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2986969
    Liu, Y., Liu, J., Ding, J., Yang, S. & Jin, Y. (2024). A Surrogate-Assisted Differential Evolution with Knowledge Transfer for Expensive Incremental Optimization Problems. IEEE Transactions on Evolutionary Computation, 1-1. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/TEVC.2023.3291697.
    PUB | DOI
     
  • [419]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2986078 OA
    Liu, J., Xie, G., Wang, J., Li, S., Wang, C., Zheng, F. & Jin, Y. (2024). Deep Industrial Image Anomaly Detection: A Survey. Machine Intelligence Research, 21(1), 104-135. Springer Science and Business Media LLC. doi:10.1007/s11633-023-1459-z.
    PUB | PDF | DOI | WoS
     
  • [418]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2986574
    Qiu, X., Qian, J., Wang, H., Tan, X. & Jin, Y. (2024). An attentive Copula-based spatio-temporal graph model for multivariate time-series forecasting. Applied Soft Computing: 111324. Elsevier BV. doi:10.1016/j.asoc.2024.111324.
    PUB | DOI
     
  • [417]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2986443
    Zhang, W., Du, W., Yu, G., He, R., Du, W. & Jin, Y. (2024). Knowledge-Assisted Dual-Stage Evolutionary Optimization of Large-Scale Crude Oil Scheduling. IEEE Transactions on Emerging Topics in Computational Intelligence, 1-15. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/TETCI.2024.3353590.
    PUB | DOI
     
  • [416]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2985956
    Jin, Y. (2024). CIS-ing in an Uncertain World [President's Message]. IEEE Computational Intelligence Magazine, 19(1), 4-5. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/MCI.2023.3332465.
    PUB | DOI
     
  • [415]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2983805
    Xie, G., Huang, Y., Wang, J., Lyu, J., Zheng, F., Zheng, Y. & Jin, Y. (2024). Cross-modality Neuroimage Synthesis: A Survey. ACM Computing Surveys, 56(3), 1-28. Association for Computing Machinery (ACM). doi:10.1145/3625227.
    PUB | DOI | WoS
     
  • [414]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2983299
    Zhang, T., Wang, H., Yuan, B., Jin, Y. & Yao, X. (2023). Surrogate-Assisted Evolutionary -Learning for Black-Box Dynamic Time-Linkage Optimization Problems. IEEE Transactions on Evolutionary Computation, 27(5), 1162-1176. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/TEVC.2022.3179256.
    PUB | DOI | WoS
     
  • [413]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2979758 OA
    Yan, X., Jin, Y., Ke, X. & Hao, Z. (2023). Multi-task evolutionary optimization of multi-echelon location routing problems via a hierarchical fuzzy graph. Complex & Intelligent Systems, 9. Springer Science and Business Media LLC. doi:10.1007/s40747-023-01109-0.
    PUB | PDF | DOI | WoS
     
  • [412]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2980780 OA
    Xie, G., Wang, J., Yu, G., Lyu, J., Zheng, F. & Jin, Y. (2023). Tiny adversarial multi-objective one-shot neural architecture search. Complex & Intelligent Systems, 9. Springer Science and Business Media LLC. doi:10.1007/s40747-023-01139-8.
    PUB | PDF | DOI | Download (ext.) | WoS
     
  • [411]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2983718
    Lei, T., Xu, Y., Ning, H., Lv, Z., Min, C., Jin, Y. & Nandi, A.K. (2023). Lightweight Structure-aware Transformer Network for Remote Sensing Image Change Detection. IEEE Geoscience and Remote Sensing Letters, 1-1. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/LGRS.2023.3323534.
    PUB | DOI | WoS
     
  • [410]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2982935
    Zhang, X., Jin, Y. & Qian, F. (2023). A self-adaptive dynamic multi-objective optimization algorithm based on transfer learning and elitism-based mutation. Neurocomputing: 126761. Elsevier BV. doi:10.1016/j.neucom.2023.126761.
    PUB | DOI | WoS
     
  • [409]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2985552
    Li, F., Shang, Z., Liu, Y., Shen, H. & Jin, Y. (2023). Inverse distance weighting and radial basis function based surrogate model for high-dimensional expensive multi-objective optimization. Applied Soft Computing: 111194. Elsevier BV. doi:10.1016/j.asoc.2023.111194.
    PUB | DOI | WoS
     
  • [408]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2985124
    Yang, C., Ding, J., Jin, Y. & Chai, T. (2023). A Data Stream Ensemble Assisted Multifactorial Evolutionary Algorithm for Offline Data-Driven Dynamic Optimization. Evolutionary Computation , 31(4), 433-458. MIT. doi:10.1162/evco_a_00332.
    PUB | DOI | WoS | PubMed | Europe PMC
     
  • [407]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2983502
    Liu, Q., Yan, Y., Ligeti, P. & Jin, Y. (2023). A Secure Federated Data-Driven Evolutionary Multi-Objective Optimization Algorithm. IEEE Transactions on Emerging Topics in Computational Intelligence, 1-15. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/TETCI.2023.3313555.
    PUB | DOI | WoS
     
  • [406]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2985405
    Zhang, M., Liu, L., Jin, Y., Lei, Z., Wang, Z. & Jiao, L. (2023). Tree-shaped multiobjective evolutionary CNN for hyperspectral image classification. Applied Soft Computing: 111176. Elsevier BV. doi:10.1016/j.asoc.2023.111176.
    PUB | DOI
     
  • [405]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2983757
    Liu, Q., Lanfermann, F., Rodemann, T., Olhofer, M. & Jin, Y. (2023). Surrogate-Assisted Many-Objective Optimization of Building Energy Management. IEEE Computational Intelligence Magazine, 18(4), 14-28. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/MCI.2023.3304073.
    PUB | DOI | WoS
     
  • [404]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2985020
    Liu, Q., Yan, Y., Jin, Y., Wang, X., Ligeti, P., Yu, G. & Yan, X. (2023). Secure Federated Evolutionary Optimization—A Survey. Engineering. Elsevier BV. doi:10.1016/j.eng.2023.10.006.
    PUB | DOI
     
  • [403]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2983244
    Xue, D., Lei, T., Yang, S., Lv, Z., Liu, T., Jin, Y. & Nandi, A.K. (2023). Triple Change Detection Network via Joint Multi-frequency and Full-scale Swin-Transformer for Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing, 1-1. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/TGRS.2023.3320288.
    PUB | DOI | WoS
     
  • [402]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2984612 OA
    Liu, J. & Jin, Y. (2023). A comprehensive survey of robust deep learning in computer vision. Journal of Automation and Intelligence. Elsevier BV. doi:10.1016/j.jai.2023.10.002.
    PUB | PDF | DOI | Download (ext.)
     
  • [401]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2984426
    Yang, S., Wang, H., Pang, Y., Jin, Y. & Linares-Barranco, B. (2023). Integrating Visual Perception With Decision Making in Neuromorphic Fault-Tolerant Quadruplet-Spike Learning Framework. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 1-13. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/TSMC.2023.3327142.
    PUB | DOI
     
  • [400]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2984065
    Wang, X., Jin, Y., Schmitt, S. & Olhofer, M. (2023). Recent Advances in Bayesian Optimization. ACM Computing Surveys, 55(13S): 287. Association for Computing Machinery. doi:10.1145/3582078.
    PUB | DOI | WoS
     
  • [399]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2982971
    Yan, X., Fang, Z. & Jin, Y. (2023). An adaptive n-gram transformer for multi-scale scene text recognition. Knowledge-Based Systems: 110964. Elsevier BV. doi:10.1016/j.knosys.2023.110964.
    PUB | DOI | WoS
     
  • [398]
    2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2983916
    Wang, Z., Wang, H., Tian, C., Jin, Y., El Saddik, A., Mei, T., Cucchiara, R., Bertini, M., Tobon Vallejo, D.P., Atrey, P.K. & Hossain, M.S. (2023). Adversarial Training of Deep Neural Networks Guided by Texture and Structural Information. Proceedings of the 31st ACM International Conference on Multimedia (S. 4958-4967). Gehalten auf der MM '23: The 31st ACM International Conference on Multimedia, New York, NY, USA: ACM. doi:10.1145/3581783.3612163.
    PUB | DOI
     
  • [397]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2983734
    Zhang, Y., Tian, Y., Jiang, H., Zhang, X. & Jin, Y. (2023). Design and analysis of helper-problem-assisted evolutionary algorithm for constrained multiobjective optimization. Information Sciences, 648: 119547. Elsevier . doi:10.1016/j.ins.2023.119547.
    PUB | DOI | WoS
     
  • [396]
    2023 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2983444
    Jiang, H., Chou, K., Tian, Y., Zhang, X. & Jin, Y. (2023). Efficient Surrogate Modeling Method for Evolutionary Algorithm to Solve Bilevel Optimization Problems. IEEE Transactions on Cybernetics . Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/TCYB.2023.3309598.
    PUB | DOI | WoS | PubMed | Europe PMC
     
  • [395]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2981615
    Wu, L., Jin, Y. & Hao, K. (2023). Optimized compressed sensing for communication efficient federated learning. Knowledge-Based Systems: 110805. Elsevier BV. doi:10.1016/j.knosys.2023.110805.
    PUB | DOI | Download (ext.) | WoS
     
  • [394]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2983378
    Liu, Q., Yan, Y. & Jin, Y. (2023). Privacy-Preserving Federated Bayesian Optimization with Learnable Noise. Information Sciences: 119739. Elsevier BV. doi:10.1016/j.ins.2023.119739.
    PUB | DOI
     
  • [393]
    2023 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2983166
    Li, H., Jin, Y. & Chai, T. (2023). Evolutionary Multi-Objective Bayesian Optimization Based on Multisource Online Transfer Learning. IEEE Transactions on Emerging Topics in Computational Intelligence . Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/TETCI.2023.3306351.
    PUB | DOI | WoS
     
  • [392]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2983214
    Si, L., Zhang, X., Tian, Y., Yang, S., Zhang, L. & Jin, Y. (2023). Linear Subspace Surrogate Modeling for Large-Scale Expensive Single/Multi-Objective Optimization. IEEE Transactions on Evolutionary Computation, 1-1. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/TEVC.2023.3319640.
    PUB | DOI
     
  • [391]
    2023 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2982658
    Wang, X., Jin, Y., Schmitt, S. & Olhofer, M. (2023). Alleviating Search Bias in Bayesian Evolutionary Optimization With Many Heterogeneous Objectives. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 1-13. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/TSMC.2023.3306085.
    PUB | DOI | Download (ext.) | WoS
     
  • [390]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2983126
    Luo, W., Jin, Y. & Huang, C. (2023). Guest Editorial: Special Issue on Security and Privacy in Machine Learning. IEEE Transactions on Artificial Intelligence, 4(5), 986-987. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/TAI.2022.3223125.
    PUB | DOI
     
  • [389]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2983127
    Zhu, H., Wang, R., Jin, Y. & Liang, K. (2023). PIVODL: Privacy-Preserving Vertical Federated Learning Over Distributed Labels. IEEE Transactions on Artificial Intelligence, 4(5), 988-1001. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/TAI.2021.3139055.
    PUB | DOI
     
  • [388]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2982907
    Ma, L., Li, N., Yu, G., Geng, X., Cheng, S., Wang, X., Huang, M. & Jin, Y. (2023). Pareto-Wise Ranking Classifier for Multi-Objective Evolutionary Neural Architecture Search. IEEE Transactions on Evolutionary Computation, 1-1. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/TEVC.2023.3314766.
    PUB | DOI
     
  • [387]
    2023 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2982782
    Yan, X., Huang, H., Jin, Y., Chen, L., Liang, Z. & Hao, Z. (2023). Neural Architecture Search via Multi-Hashing Embedding and Graph Tensor Networks for Multilingual Text Classification. IEEE Transactions on Emerging Topics in Computational Intelligence . Institute of Electrical and Electronics Engineers. doi:10.1109/TETCI.2023.3301774.
    PUB | DOI | WoS
     
  • [386]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2980810
    Wang, R., Zhang, Q., Dai, X., Yuan, Z., Zhang, T., Ding, S. & Jin, Y. (2023). An efficient evolutionary algorithm for high-speed train rescheduling under a partial station blockage. Applied Soft Computing, 145: 110590. Elsevier BV. doi:10.1016/j.asoc.2023.110590.
    PUB | DOI | Download (ext.) | WoS
     
  • [385]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2979431
    Liu, Q., Fan, J., Zhang, J.-X. & Jin, Y. (2023). Guest Editorial: Advanced Intelligent Manufacturing System: Theory, Algorithms, and Industrial Applications. IEEE Transactions on Industrial Informatics, 19(6), 7720-7723. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/TII.2023.3272276.
    PUB | DOI | WoS
     
  • [384]
    2023 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2982416
    Yan, Y., Kamel, M.B.M., Zoltay, M., Gal, M., Hollos, R., Jin, Y., Peter, L. & Tenyi, A. (2023). Fedlabx: a practical and privacy-preserving framework for federated learning. Complex & Intelligent Systems. SpringerOpen. doi:10.1007/s40747-023-01184-3.
    PUB | DOI | WoS
     
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    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2981362
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    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978339
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    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978331
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    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978330
    Wang, S., Yin, Y., Wang, D., Wang, Y. & Jin, Y. (2022). Interpretability-Based Multimodal Convolutional Neural Networks for Skin Lesion Diagnosis. IEEE Transactions on Cybernetics, 52(12), 12623-12637. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/TCYB.2021.3069920.
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    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978329
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    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978342
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    Wang, R., Ersoy, O., Zhu, H., Jin, Y. & Liang, K. (2022). FEVERLESS: Fast and Secure Vertical Federated Learning based on XGBoost for Decentralized Labels. IEEE Transactions on Big Data, 1-15. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/TBDATA.2022.3227326.
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    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978368
    He, C., Huang, S., Cheng, R., Tan, K.C. & Jin, Y. (2021). Evolutionary Multiobjective Optimization Driven by Generative Adversarial Networks (GANs). IEEE Transactions on Cybernetics, 51(6), 3129-3142. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/TCYB.2020.2985081.
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    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978369
    He, C., Cheng, R., Tian, Y., Zhang, X., Tan, K.C. & Jin, Y. (2021). Paired Offspring Generation for Constrained Large-Scale Multiobjective Optimization. IEEE Transactions on Evolutionary Computation, 25(3), 448-462. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/TEVC.2020.3047835.
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    2021 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2960436
    Yu, G., Jin, Y., Olhofer, M., Liu, Q. & Du, W. (2021). Solution Set Augmentation for Knee Identification in Multiobjective Decision Analysis. IEEE Transactions on Cybernetics . Institute of Electrical and Electronics Engineers. doi:10.1109/TCYB.2021.3125071.
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    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978401
    Jin, Y. (2020). Introduction to the Special Issue on Nature-Inspired Optimization Methods in Fuzzy Systems. IEEE Transactions on Fuzzy Systems, 28(6), 1019-1022. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/TFUZZ.2020.2983712.
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    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978393
    Huang, L., Ding, Y., Zhou, M.C., Jin, Y. & Hao, K. (2020). Multiple-Solution Optimization Strategy for Multirobot Task Allocation. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 50(11), 4283-4294. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/TSMC.2018.2847608.
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    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978394
    Chen, Y., Sun, X. & Jin, Y. (2020). Communication-Efficient Federated Deep Learning With Layerwise Asynchronous Model Update and Temporally Weighted Aggregation. IEEE Transactions on Neural Networks and Learning Systems, 31(10), 4229-4238. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/TNNLS.2019.2953131.
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    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978395
    Zhou, Y., Jin, Y. & Ding, J. (2020). Surrogate-Assisted Evolutionary Search of Spiking Neural Architectures in Liquid State Machines. Neurocomputing, 406, 12-23. Elsevier. doi:10.1016/j.neucom.2020.04.079.
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    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978397
    Tian, Y., Zheng, X., Zhang, X. & Jin, Y. (2020). Efficient Large-Scale Multiobjective Optimization Based on a Competitive Swarm Optimizer. IEEE Transactions on Cybernetics, 50(8), 3696-3708. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/TCYB.2019.2906383.
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    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978396
    Yu, G., Jin, Y. & Olhofer, M. (2020). Benchmark Problems and Performance Indicators for Search of Knee Points in Multiobjective Optimization. IEEE Transactions on Cybernetics, 50(8), 3531-3544. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/TCYB.2019.2894664.
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    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978398
    Wang, S., Liu, J. & Jin, Y. (2020). Surrogate-Assisted Robust Optimization of Large-Scale Networks Based on Graph Embedding. IEEE Transactions on Evolutionary Computation, 24(4), 735-749. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/TEVC.2019.2950935.
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    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978399
    Wang, H., Jin, Y., Yang, C. & Jiao, L. (2020). Transfer stacking from low-to high-fidelity: A surrogate-assisted bi-fidelity evolutionary algorithm. Applied Soft Computing, 92: 106276. Elsevier. doi:10.1016/j.asoc.2020.106276.
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    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978402
    Wang, X., Jin, Y., Schmitt, S. & Olhofer, M. (2020). An adaptive Bayesian approach to surrogate-assisted evolutionary multi-objective optimization. Information Sciences, 519, 317-331. Elsevier. doi:10.1016/j.ins.2020.01.048.
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    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978404
    Wang, X., Jin, Y. & Hao, K. (2020). Evolving Local Plasticity Rules for Synergistic Learning in Echo State Networks. IEEE Transactions on Neural Networks and Learning Systems, 31(4), 1363-1374. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/TNNLS.2019.2919903.
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    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978405
    Zhu, H. & Jin, Y. (2020). Multi-Objective Evolutionary Federated Learning. IEEE Transactions on Neural Networks and Learning Systems, 31(4), 1310-1322. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/TNNLS.2019.2919699.
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    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978406
    Sun, Y., Wang, H., Xue, B., Jin, Y., Yen, G.G. & Zhang, M. (2020). Surrogate-Assisted Evolutionary Deep Learning Using an End-to-End Random Forest-Based Performance Predictor. IEEE Transactions on Evolutionary Computation, 24(2), 350-364. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/TEVC.2019.2924461.
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    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978407
    Tian, Y., Zhang, X., Cheng, R., He, C. & Jin, Y. (2020). Guiding Evolutionary Multiobjective Optimization With Generic Front Modeling. IEEE Transactions on Cybernetics, 50(3), 1106-1119. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/TCYB.2018.2883914.
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    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978408
    Zhang, X., Zhou, K., Pan, H., Zhang, L., Zeng, X. & Jin, Y. (2020). A Network Reduction-Based Multiobjective Evolutionary Algorithm for Community Detection in Large-Scale Complex Networks. IEEE Transactions on Cybernetics, 50(2), 703-716. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/TCYB.2018.2871673.
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    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978410
    Wang, S., Wang, Y., Wang, D., Yin, Y., Wang, Y. & Jin, Y. (2020). An improved random forest-based rule extraction method for breast cancer diagnosis. Applied Soft Computing, 86: 105941. Elsevier. doi:10.1016/j.asoc.2019.105941.
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    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978411
    Yang, Z., Ding, Y., Jin, Y. & Hao, K. (2020). Immune-Endocrine System Inspired Hierarchical Coevolutionary Multiobjective Optimization Algorithm for IoT Service. IEEE Transactions on Cybernetics, 50(1), 164-177. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/TCYB.2018.2866527.
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    2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978412
    Wang, X., Jin, Y. & Hao, K. (2020). A Gated Recurrent Unit based Echo State Network. 2020 International Joint Conference on Neural Networks (IJCNN) (S. 1-7). Gehalten auf der 2020 International Joint Conference on Neural Networks (IJCNN), IEEE. doi:10.1109/IJCNN48605.2020.9206786.
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    2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978413
    Fourati, R., Ammar, B., Jin, Y. & Alimi, A.M. (2020). EEG feature learning with Intrinsic Plasticity based Deep Echo State Network. 2020 International Joint Conference on Neural Networks (IJCNN) (S. 1-8). Gehalten auf der 2020 International Joint Conference on Neural Networks (IJCNN), IEEE. doi:10.1109/IJCNN48605.2020.9207464.
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    2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978414
    Naik, N., Jenkins, P., Cooke, R., Gillett, J. & Jin, Y. (2020). Evaluating Automatically Generated YARA Rules and Enhancing Their Effectiveness. 2020 IEEE Symposium Series on Computational Intelligence (SSCI) (S. 1146-1153). Gehalten auf der 2020 IEEE Symposium Series on Computational Intelligence (SSCI), IEEE. doi:10.1109/SSCI47803.2020.9308179.
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    2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978415
    Chen, H., Jin, Y., Wang, L., Chi, C.-H. & Shen, J. (2020). HIME: Mining and Ensembling Heterogeneous Information for Protein-Protein Interactions Prediction. 2020 International Joint Conference on Neural Networks (IJCNN) (S. 1-8). Gehalten auf der 2020 International Joint Conference on Neural Networks (IJCNN), IEEE. doi:10.1109/IJCNN48605.2020.9206682.
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    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978416
    Liao, P., Sun, C., Zhang, G. & Jin, Y. (2020). Multi-surrogate multi-tasking optimization of expensive problems. Knowledge-Based Systems, 205: 106262. Elsevier. doi:10.1016/j.knosys.2020.106262.
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    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978417
    Wang, S., Liu, J. & Jin, Y. (2020). Robust Structural Balance in Signed Networks Using a Multiobjective Evolutionary Algorithm. IEEE Computational Intelligence Magazine, 15(2), 24-35. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/MCI.2020.2976183.
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    2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978418
    Wang, X., Jin, Y., Schmitt, S., Olhofer, M. & Coello Coello, C.A. (2020). Transfer learning for gaussian process assisted evolutionary bi-objective optimization for objectives with different evaluation times. Proceedings of the 2020 Genetic and Evolutionary Computation Conference (GECCO '20) (S. 587-594). Gehalten auf der GECCO '20: Genetic and Evolutionary Computation Conference, New York, NY: ACM. doi:10.1145/3377930.3390147.
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    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978409
    Wang, H. & Jin, Y. (2020). A Random Forest-Assisted Evolutionary Algorithm for Data-Driven Constrained Multiobjective Combinatorial Optimization of Trauma Systems. IEEE Transactions on Cybernetics, 50(2), 536-549. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/TCYB.2018.2869674.
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    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978403
    Tian, Y., Zhang, X., Wang, C. & Jin, Y. (2020). An Evolutionary Algorithm for Large-Scale Sparse Multiobjective Optimization Problems. IEEE Transactions on Evolutionary Computation, 24(2), 380-393. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/TEVC.2019.2918140.
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    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978420
    Rong, M., Gong, D., Zhang, Y., Jin, Y. & Pedrycz, W. (2019). Multidirectional Prediction Approach for Dynamic Multiobjective Optimization Problems. IEEE Transactions on Cybernetics, 49(9), 3362-3374. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/TCYB.2018.2842158.
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    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978419
    He, C., Li, L., Tian, Y., Zhang, X., Cheng, R., Jin, Y. & Yao, X. (2019). Accelerating Large-Scale Multiobjective Optimization via Problem Reformulation. IEEE Transactions on Evolutionary Computation, 23(6), 949-961. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/TEVC.2019.2896002.
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    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978421
    Peng, X., Jin, Y. & Wang, H. (2019). Multimodal Optimization Enhanced Cooperative Coevolution for Large-Scale Optimization. IEEE Transactions on Cybernetics, 49(9), 3507-3520. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/TCYB.2018.2846179.
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    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978422
    Hua, Y., Jin, Y. & Hao, K. (2019). A Clustering-Based Adaptive Evolutionary Algorithm for Multiobjective Optimization With Irregular Pareto Fronts. IEEE Transactions on Cybernetics, 49(7), 2758-2770. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/TCYB.2018.2834466.
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    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978423
    Han, D., Du, W., Du, W., Jin, Y. & Wu, C. (2019). An adaptive decomposition-based evolutionary algorithm for many-objective optimization. Information Sciences, 491, 204-222. Elsevier. doi:10.1016/j.ins.2019.03.062.
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    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978424
    Wang, X., Jin, Y. & Hao, K. (2019). Echo state networks regulated by local intrinsic plasticity rules for regression. Neurocomputing, 351, 111-122. Elsevier. doi:10.1016/j.neucom.2019.03.032.
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    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978425
    Yang, C., Ding, J., Jin, Y., Wang, C. & Chai, T. (2019). Multitasking Multiobjective Evolutionary Operational Indices Optimization of Beneficiation Processes. IEEE Transactions on Automation Science and Engineering, 16(3), 1046-1057. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/TASE.2018.2865593.
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    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978427
    Wang, Y., Wang, D., Geng, N., Wang, Y., Yin, Y. & Jin, Y. (2019). Stacking-based ensemble learning of decision trees for interpretable prostate cancer detection. Applied Soft Computing, 77, 188-204. Elsevier. doi:10.1016/j.asoc.2019.01.015.
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    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978426
    Sun, C., Wang, H., Du, W. & Jin, Y. (2019). Guest Editorial: Special Issue on Computational Intelligence in Data-Driven Optimization. IEEE Transactions on Emerging Topics in Computational Intelligence, 3(2), 90-92. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/TETCI.2019.2902893.
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    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978428
    Guo, D., Jin, Y., Ding, J. & Chai, T. (2019). Heterogeneous Ensemble-Based Infill Criterion for Evolutionary Multiobjective Optimization of Expensive Problems. IEEE Transactions on Cybernetics, 49(3), 1012-1025. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/TCYB.2018.2794503.
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    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978429
    Fan, Q., Jin, Y., Wang, W. & Yan, X. (2019). A performance-driven multi-algorithm selection strategy for energy consumption optimization of sea-rail intermodal transportation. Swarm and Evolutionary Computation, 44, 1-17. Elsevier. doi:10.1016/j.swevo.2018.11.007.
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    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978430
    Wang, Y., Wang, D., Ye, X., Wang, Y., Yin, Y. & Jin, Y. (2019). A tree ensemble-based two-stage model for advanced-stage colorectal cancer survival prediction. Information Sciences, 474, 106-124. Elsevier. doi:10.1016/j.ins.2018.09.046.
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    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978431
    Carneiro, M.G., Cheng, R., Zhao, L. & Jin, Y. (2019). Particle swarm optimization for network-based data classification. Neural Networks, 110, 243-255. Elsevier. doi:10.1016/j.neunet.2018.12.003.
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    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978433
    Han, Y., Gong, D., Jin, Y. & Pan, Q. (2019). Evolutionary Multiobjective Blocking Lot-Streaming Flow Shop Scheduling With Machine Breakdowns. IEEE Transactions on Cybernetics, 49(1), 184-197. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/TCYB.2017.2771213.
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    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978434
    Du, W., Zhong, W., Tang, Y., Du, W. & Jin, Y. (2019). High-Dimensional Robust Multi-Objective Optimization for Order Scheduling: A Decision Variable Classification Approach. IEEE Transactions on Industrial Informatics, 15(1), 293-304. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/TII.2018.2836189.
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    2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978436
    Zhou, Y., Jin, Y. & Ding, J. (2019). Evolutionary Optimization of Liquid State Machines for Robust Learning (Lecture Notes in Computer Science). In H. Lu, H. Tang & Z. Wang (Hrsg.), Advances in Neural Networks – ISNN 2019. 16th International Symposium on Neural Networks, ISNN 2019, Moscow, Russia, July 10–12, 2019, Proceedings, Part I (S. 389-398). Gehalten auf der 16th International Symposium on Neural Networks (ISNN 2019), Cham: Springer International Publishing. doi:10.1007/978-3-030-22796-8_41.
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    2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978437
    Andrés-Pérez, E., González-Juarez, D., Martin, M., Iuliano, E., Cinquegrana, D., Carrier, G., Peter, J., Bailly, D., Amoignon, O., Dvorak, P., Funes, D., Weinerfelt, P., Carro, L., Salcedo, S., Jin, Y., Doherty, J. & Wang, H. (2019). Garteur AD/AG-52: Surrogate-Based Global Optimization Methods in Preliminary Aerodynamic Design (Computational Methods in Applied Sciences). In E. Andrés-Pérez, L.M. González, J. Periaux, N. Gauger, D. Quagliarella & K. Giannakoglou (Hrsg.), Evolutionary and Deterministic Methods for Design Optimization and Control With Applications to Industrial and Societal Problems (S. 195-210). Gehalten auf der International Conference on Evolutionary and Deterministic Methods for Design, Optimization and Control with Applications to Industrial and Societal Problems (EUROGEN 2017), Cham: Springer International Publishing. doi:10.1007/978-3-319-89890-2_13.
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    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978448
    Yang, Z., Jin, Y. & Hao, K. (2019). A Bio-Inspired Self-Learning Coevolutionary Dynamic Multiobjective Optimization Algorithm for Internet of Things Services. IEEE Transactions on Evolutionary Computation, 23(4), 675-688. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/TEVC.2018.2880458.
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    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978451
    Tian, Y., Cheng, R., Zhang, X., Su, Y. & Jin, Y. (2019). A Strengthened Dominance Relation Considering Convergence and Diversity for Evolutionary Many-Objective Optimization. IEEE Transactions on Evolutionary Computation, 23(2), 331-345. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/TEVC.2018.2866854.
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    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978455
    Jin, Y., Wang, H., Chugh, T., Guo, D. & Miettinen, K. (2019). Data-Driven Evolutionary Optimization: An Overview and Case Studies. IEEE Transactions on Evolutionary Computation, 23(3), 442-458. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/TEVC.2018.2869001.
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    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978463
    Wang, H., Jin, Y., Sun, C. & Doherty, J. (2019). Offline Data-Driven Evolutionary Optimization Using Selective Surrogate Ensembles. IEEE Transactions on Evolutionary Computation, 23(2), 203-216. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/TEVC.2018.2834881.
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    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978479
    Ye, X., Li, J., Liu, S., Liang, J. & Jin, Y. (2019). A hybrid instance-intensive workflow scheduling method in private cloud environment. Natural Computing, 18(4), 735-746. Springer Science and Business Media. doi:10.1007/s11047-016-9600-3.
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    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978482
    Wang, D.-J., Liu, F. & Jin, Y. (2019). A proactive scheduling approach to steel rolling process with stochastic machine breakdown. Natural Computing, 18(4), 679-694. Springer Science and Business Media. doi:10.1007/s11047-016-9599-5.
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    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978495
    Ding, J., Yang, C., Jin, Y. & Chai, T. (2019). Generalized Multitasking for Evolutionary Optimization of Expensive Problems. IEEE Transactions on Evolutionary Computation, 23(1), 44-58. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/TEVC.2017.2785351.
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    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978503
    Guo, F., Ren, L., Jin, Y. & Ding, Y. (2019). A dynamic SVR–ARMA model with improved fruit fly algorithm for the nonlinear fiber stretching process. Natural Computing, 18(4), 747-756. Springer Science and Business Media. doi:10.1007/s11047-016-9601-2.
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    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978449
    Pan, L., He, C., Tian, Y., Wang, H., Zhang, X. & Jin, Y. (2019). A Classification-Based Surrogate-Assisted Evolutionary Algorithm for Expensive Many-Objective Optimization. IEEE Transactions on Evolutionary Computation, 23(1), 74-88. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/TEVC.2018.2802784.
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    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978461
    Tian, J., Tan, Y., Zeng, J., Sun, C. & Jin, Y. (2019). Multiobjective Infill Criterion Driven Gaussian Process-Assisted Particle Swarm Optimization of High-Dimensional Expensive Problems. IEEE Transactions on Evolutionary Computation, 23(3), 459-472. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/TEVC.2018.2869247.
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    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978432
    Jiao, R., Zeng, S., Li, C., Jiang, Y. & Jin, Y. (2019). A complete expected improvement criterion for Gaussian process assisted highly constrained expensive optimization. Information Sciences, 471, 80-96. Elsevier BV. doi:10.1016/j.ins.2018.09.003.
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    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978435
    Ding, J., Yang, C., Xiao, Q., Chai, T. & Jin, Y. (2018). Dynamic Evolutionary Multiobjective Optimization for Raw Ore Allocation in Mineral Processing. IEEE Transactions on Emerging Topics in Computational Intelligence, 1-13. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/TETCI.2018.2812897.
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    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978438
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    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978439
    Cui, S., Wang, D., Wang, Y., Yu, P.-W. & Jin, Y. (2018). An improved support vector machine-based diabetic readmission prediction. Computer Methods and Programs in Biomedicine, 166, 123-135. Elsevier BV. doi:10.1016/j.cmpb.2018.10.012.
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    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978440
    Xie, Z. & Jin, Y. (2018). An Extended Reinforcement Learning Framework to Model Cognitive Development With Enactive Pattern Representation. IEEE Transactions on Cognitive and Developmental Systems, 10(3), 738-750. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/TCDS.2018.2796940.
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    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978441
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    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978442
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    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978444
    Gu, S., Cheng, R. & Jin, Y. (2018). Feature selection for high-dimensional classification using a competitive swarm optimizer. Soft Computing, 22(3), 811-822. Springer Science and Business Media LLC. doi:10.1007/s00500-016-2385-6.
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    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978447
    Jin, Y., Miettinen, K. & Ishibuchi, H. (2018). Guest Editorial Evolutionary Many-Objective Optimization. IEEE Transactions on Evolutionary Computation, 22(1), 1-2. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/TEVC.2017.2773341.
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    2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978450
    Yu, G., Jin, Y. & Olhofer, M. (2018). A Method for a Posteriori Identification of Knee Points Based on Solution Density. 2018 IEEE Congress on Evolutionary Computation (CEC) (S. 1-8). Gehalten auf der 2018 IEEE Congress on Evolutionary Computation (CEC), IEEE. doi:10.1109/CEC.2018.8477885.
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    2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978467
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    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978457
    Chen, Z., Yeo, C.K., Lee, B.S., Lau, C.T. & Jin, Y. (2018). Evolutionary multi-objective optimization based ensemble autoencoders for image outlier detection. Neurocomputing, 309, 192-200. Elsevier. doi:10.1016/j.neucom.2018.05.012.
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    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978452
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    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978453
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    2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978458
    Wang, H., Doherty, J. & Jin, Y. (2018). Hierarchical Surrogate-Assisted Evolutionary Multi-Scenario Airfoil Shape Optimization. 2018 IEEE Congress on Evolutionary Computation (CEC) (S. 1-8). Gehalten auf der 2018 IEEE Congress on Evolutionary Computation (CEC), IEEE. doi:10.1109/CEC.2018.8477766.
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    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978459
    Yang, C., Ding, J., Jin, Y. & Chai, T. (2018). Incremental data-driven optimization of complex systems in nonstationary environments. Science China Information Sciences, 61(12): 129205. Springer Science and Business Media. doi:10.1007/s11432-018-9521-8.
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    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978460
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    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978464
    Qian, C., Yu, Y., Tang, K., Jin, Y., Yao, X. & Zhou, Z.-H. (2018). On the Effectiveness of Sampling for Evolutionary Optimization in Noisy Environments. Evolutionary Computation, 26(2), 237-267. MIT Press. doi:10.1162/evco_a_00201.
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    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978465
    Lu, J., Ding, J., Liu, C. & Jin, Y. (2018). Prediction of Physical Properties of Crude Oil Based on Ensemble Random Weights Neural Network. IFAC-PapersOnLine, 51(18), 655-660. Elsevier. doi:10.1016/j.ifacol.2018.09.349.
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    2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978466
    Tian, Y., Xiang, X., Zhang, X., Cheng, R. & Jin, Y. (2018). Sampling Reference Points on the Pareto Fronts of Benchmark Multi-Objective Optimization Problems. 2018 IEEE Congress on Evolutionary Computation (CEC) (S. 1-6). Gehalten auf der 2018 IEEE Congress on Evolutionary Computation (CEC), IEEE. doi:10.1109/CEC.2018.8477730.
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    2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978469
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    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978443
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    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978446
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    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978445
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    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978489
    Jin, Y. & Kollias, S. (2017). Conference Report on 2016 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2016) [Conference Reports]. IEEE Computational Intelligence Magazine, 12(2), 18-19. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/MCI.2017.2670425.
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    2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978454
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    2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978456
    Thomas, S.A., Jin, Y., Bunch, J. & Gilmore, I.S. (2017). Enhancing classification of mass spectrometry imaging data with deep neural networks. 2017 IEEE Symposium Series on Computational Intelligence (SSCI) (S. 1-8). Gehalten auf der 2017 IEEE Symposium Series on Computational Intelligence (SSCI), IEEE. doi:10.1109/SSCI.2017.8285223.
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    2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978462
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    2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978468
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    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978470
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    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978471
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    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978472
    Liu, Y., Gong, D., Sun, J. & Jin, Y. (2017). A Many-Objective Evolutionary Algorithm Using A One-by-One Selection Strategy. IEEE Transactions on Cybernetics, 47(9), 2689-2702. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/TCYB.2016.2638902.
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    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978474
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    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978498
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    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978499
    Allmendinger, R., Emmerich, M.T.M., Hakanen, J., Jin, Y. & Rigoni, E. (2017). Surrogate-assisted multicriteria optimization: Complexities, prospective solutions, and business case. Journal of Multi-Criteria Decision Analysis, 24(1-2), 5-24. Wiley. doi:10.1002/mcda.1605.
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    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978500
    Jin, Y., Ding, J. & Ding, Y. (2017). Thematic issue on “bio-inspired learning for data analysis”. Memetic Computing, 9(1), 1-2. Springer Science and Business Media LLC. doi:10.1007/s12293-017-0223-8.
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    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978476
    Wang, H., Jin, Y. & Yao, X. (2017). Diversity Assessment in Many-Objective Optimization. IEEE Transactions on Cybernetics, 47(6), 1510-1522. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/TCYB.2016.2550502.
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    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978477
    Shirazi, A.R. & Jin, Y. (2017). A Strategy for Self-Organized Coordinated Motion of a Swarm of Minimalist Robots. IEEE Transactions on Emerging Topics in Computational Intelligence, 1(5), 326-338. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/TETCI.2017.2741505.
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    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978480
    Huang, Y., Ding, Y., Hao, K. & Jin, Y. (2017). A multi-objective approach to robust optimization over time considering switching cost. Information Sciences, 394-395, 183-197. Elsevier BV. doi:10.1016/j.ins.2017.02.029.
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    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978481
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    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978483
    He, C., Tian, Y., Jin, Y., Zhang, X. & Pan, L. (2017). A radial space division based evolutionary algorithm for many-objective optimization. Applied Soft Computing, 61, 603-621. Elsevier BV. doi:10.1016/j.asoc.2017.08.024.
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    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978484 OA
    Liu, J., Chi, Y., Zhu, C. & Jin, Y. (2017). A time series driven decomposed evolutionary optimization approach for reconstructing large-scale gene regulatory networks based on fuzzy cognitive maps. BMC Bioinformatics, 18(1): 241. Springer Science and Business Media LLC. doi:10.1186/s12859-017-1657-1.
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    2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978486
    Naik, N., Jenkins, P., Cooke, R., Ball, D., Foster, A. & Jin, Y. (2017). Augmented windows fuzzy firewall for preventing denial of service attack. 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) (S. 1-6). Gehalten auf der 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), IEEE. doi:10.1109/FUZZ-IEEE.2017.8015701.
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    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978487
    Oh, H., Ramezan Shirazi, A., Sun, C. & Jin, Y. (2017). Bio-inspired self-organising multi-robot pattern formation: A review. Robotics and Autonomous Systems, 91, 83-100. Elsevier BV. doi:10.1016/j.robot.2016.12.006.
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    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978488
    Albukhanajer, W.A., Jin, Y. & Briffa, J.A. (2017). Classifier ensembles for image identification using multi-objective Pareto features. Neurocomputing, 238, 316-327. Elsevier BV. doi:10.1016/j.neucom.2017.01.067.
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    2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978491
    Wang, H. & Jin, Y. (2017). Efficient nonlinear correlation detection for decomposed search in evolutionary multi-objective optimization. 2017 IEEE Congress on Evolutionary Computation (CEC) (S. 649-656). Gehalten auf der 2017 IEEE Congress on Evolutionary Computation (CEC), IEEE. doi:10.1109/CEC.2017.7969372.
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    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978493
    Yao, G., Ding, Y., Jin, Y. & Hao, K. (2017). Endocrine-based coevolutionary multi-swarm for multi-objective workflow scheduling in a cloud system. Soft Computing, 21(15), 4309-4322. Springer Science and Business Media LLC. doi:10.1007/s00500-016-2063-8.
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    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978494
    Cheng, R., Rodemann, T., Fischer, M., Olhofer, M. & Jin, Y. (2017). Evolutionary Many-Objective Optimization of Hybrid Electric Vehicle Control: From General Optimization to Preference Articulation. IEEE Transactions on Emerging Topics in Computational Intelligence, 1(2), 97-111. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/TETCI.2017.2669104.
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    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978496
    Zhang, X., Duan, F., Zhang, L., Cheng, F., Jin, Y. & Tang, K. (2017). Pattern Recommendation in Task-oriented Applications: A Multi-Objective Perspective [Application Notes]. IEEE Computational Intelligence Magazine, 12(3), 43-53. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/MCI.2017.2708578.
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    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978497
    Tian, Y., Cheng, R., Zhang, X. & Jin, Y. (2017). PlatEMO: A MATLAB Platform for Evolutionary Multi-Objective Optimization [Educational Forum]. IEEE Computational Intelligence Magazine, 12(4), 73-87. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/MCI.2017.2742868.
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    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978501
    Ye, X., Liu, S., Yin, Y. & Jin, Y. (2017). User-oriented many-objective cloud workflow scheduling based on an improved knee point driven evolutionary algorithm. Knowledge-Based Systems, 135, 113-124. Elsevier BV. doi:10.1016/j.knosys.2017.08.006.
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    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978478
    Chugh, T., Chakraborti, N., Sindhya, K. & Jin, Y. (2017). A data-driven surrogate-assisted evolutionary algorithm applied to a many-objective blast furnace optimization problem. Materials and Manufacturing Processes, 32(10), 1172-1178. Taylor & Francis. doi:10.1080/10426914.2016.1269923.
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    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978475
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    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978473
    Wang, H., Jin, Y. & Doherty, J. (2017). Committee-Based Active Learning for Surrogate-Assisted Particle Swarm Optimization of Expensive Problems. IEEE Transactions on Cybernetics, 47(9), 2664-2677. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/TCYB.2017.2710978.
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    2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978485
    Yolcu, U., Jin, Y. & Egrioglu, E. (2016). An ensemble of single multiplicative neuron models for probabilistic prediction. 2016 IEEE Symposium Series on Computational Intelligence (SSCI) (S. 1-8). Gehalten auf der 2016 IEEE Symposium Series on Computational Intelligence (SSCI), IEEE. doi:10.1109/SSCI.2016.7849975.
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    2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978490
    Hakanen, J., Chugh, T., Sindhya, K., Jin, Y. & Miettinen, K. (2016). Connections of reference vectors and different types of preference information in interactive multiobjective evolutionary algorithms. 2016 IEEE Symposium Series on Computational Intelligence (SSCI) (S. 1-8). Gehalten auf der 2016 IEEE Symposium Series on Computational Intelligence (SSCI), IEEE. doi:10.1109/SSCI.2016.7850220.
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    2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978492
    Zhang, X., Tian, Y., Cheng, R. & Jin, Y. (2016). Empirical analysis of a tree-based efficient non-dominated sorting approach for many-objective optimization. 2016 IEEE Symposium Series on Computational Intelligence (SSCI) (S. 1-8). Gehalten auf der 2016 IEEE Symposium Series on Computational Intelligence (SSCI), IEEE. doi:10.1109/SSCI.2016.7850210.
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    2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978502
    Cheng, R., Jin, Y., Olhofer, M. & Sendhoff, B. (2016). A Reference Vector Guided Evolutionary Algorithm for Many-Objective Optimization. IEEE Transactions on Evolutionary Computation, 20(5), 773-791. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/TEVC.2016.2519378.
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    2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978504
    Peng, X., Liu, K. & Jin, Y. (2016). A dynamic optimization approach to the design of cooperative co-evolutionary algorithms. Knowledge-Based Systems, 109, 174-186. Elsevier BV. doi:10.1016/j.knosys.2016.07.001.
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    2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978505
    Tian, Y., Zhang, X., Cheng, R. & Jin, Y. (2016). A multi-objective evolutionary algorithm based on an enhanced inverted generational distance metric. 2016 IEEE Congress on Evolutionary Computation (CEC) (S. 5222-5229). Gehalten auf der 2016 IEEE Congress on Evolutionary Computation (CEC), IEEE. doi:10.1109/CEC.2016.7748352.
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    2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978506
    Zhang, X., Tian, Y. & Jin, Y. (2016). Approximate non-dominated sorting for evolutionary many-objective optimization. Information Sciences, 369, 14-33. Elsevier BV. doi:10.1016/j.ins.2016.06.007.
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    2016 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978508
    Cheng, S., Liu, B., Shi, Y., Jin, Y. & Li, B. (2016). Evolutionary Computation and Big Data: Key Challenges and Future Directions (Lecture Notes in Computer Science). In Y. Tan & Y. Shi (Hrsg.), Data Mining and Big Data (S. 3-14). Cham: Springer International Publishing. doi:10.1007/978-3-319-40973-3_1.
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    2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978512
    Ding, Y., Zhang, T., Ren, L., Jin, Y., Hao, K. & Chen, L. (2016). Immune-inspired self-adaptive collaborative control allocation for multi-level stretching processes. Information Sciences, 342, 81-95. Elsevier BV. doi:10.1016/j.ins.2015.12.029.
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    2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978513
    He, H., Tiwari, A., Mehnen, J., Watson, T., Maple, C., Jin, Y. & Gabrys, B. (2016). Incremental information gain analysis of input attribute impact on RBF-kernel SVM spam detection. 2016 IEEE Congress on Evolutionary Computation (CEC) (S. 1022-1029). Gehalten auf der 2016 IEEE Congress on Evolutionary Computation (CEC), IEEE. doi:10.1109/CEC.2016.7743901.
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    2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978514
    Yusoff, M.-H., Chrol-Cannon, J. & Jin, Y. (2016). Modeling neural plasticity in echo state networks for classification and regression. Information Sciences, 364-365, 184-196. Elsevier BV. doi:10.1016/j.ins.2015.11.017.
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    2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978517 OA
    Cerri, R., Barros, R.C., P. L. F. de Carvalho, A.C. & Jin, Y. (2016). Reduction strategies for hierarchical multi-label classification in protein function prediction. BMC Bioinformatics, 17(1): 373. Springer Science and Business Media LLC. doi:10.1186/s12859-016-1232-1.
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    2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978518
    Jin, Y., Yang, C., Ding, J. & Chai, T. (2016). Reference point based prediction for evolutionary dynamic multiobjective optimization. 2016 IEEE Congress on Evolutionary Computation (CEC) (S. 3769-3776). Gehalten auf der 2016 IEEE Congress on Evolutionary Computation (CEC), IEEE. doi:10.1109/CEC.2016.7744267.
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    2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978519
    Rahat, A., Everson, R., Fieldsend, J., Jin, Y., Wang, H., Neumann, F. & Sutton, A.M. (2016). Surrogate-Assisted Evolutionary Optimisation (SAEOpt'16) Chairs' Welcome & Organization. In T. Friedrich (Hrsg.), Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion (S. 1265-1266). Gehalten auf der GECCO '16: Genetic and Evolutionary Computation Conference, New York, NY, USA: ACM. doi:10.1145/2908961.2931710.
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    2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978520
    He, H., Maple, C., Watson, T., Tiwari, A., Mehnen, J., Jin, Y. & Gabrys, B. (2016). The security challenges in the IoT enabled cyber-physical systems and opportunities for evolutionary computing & other computational intelligence. 2016 IEEE Congress on Evolutionary Computation (CEC) (S. 1015-1021). Gehalten auf der 2016 IEEE Congress on Evolutionary Computation (CEC), IEEE. doi:10.1109/CEC.2016.7743900.
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    2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978521
    Brown, C., Jin, Y., Leach, M. & Hodgson, M. (2016). $$\mu $$ μ JADE: adaptive differential evolution with a small population. Soft Computing, 20(10), 4111-4120. Springer Science and Business Media LLC. doi:10.1007/s00500-015-1746-x.
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    2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978515
    Carneiro, M.G., Zhao, L., Cheng, R. & Jin, Y. (2016). Network structural optimization based on swarm intelligence for highlevel classification. 2016 International Joint Conference on Neural Networks (IJCNN) (S. 3737-3744). Gehalten auf der 2016 International Joint Conference on Neural Networks (IJCNN), IEEE. doi:10.1109/IJCNN.2016.7727681.
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    2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978509
    Han, Y., Gong, D., Jin, Y. & Pan, Q.-ke. (2016). Evolutionary multi-objective blocking lot-streaming flow shop scheduling with interval processing time. Applied Soft Computing, 42, 229-245. Elsevier. doi:10.1016/j.asoc.2016.01.033.
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    2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978507
    Wang, H., Jin, Y. & Jansen, J.O. (2016). Data-Driven Surrogate-Assisted Multiobjective Evolutionary Optimization of a Trauma System. IEEE Transactions on Evolutionary Computation, 20(6), 939-952. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/TEVC.2016.2555315.
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    2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978510
    Sun, C., Jin, Y., Ding, J., Zeng, J., Neumann, F. & Sutton, A.M. (2016). Fitness Estimation Strategy Assisted Competitive Swarm Optimizer for High Dimensional Expensive Problems. In T. Friedrich, F. Neumann & A.M. Sutton (Hrsg.), Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion (S. 1277-1278). Gehalten auf der GECCO '16: Genetic and Evolutionary Computation Conference, New York, NY, USA: ACM. doi:10.1145/2908961.2931713.
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    2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978526
    Cheng, R., Jin, Y., Narukawa, K. & Sendhoff, B. (2015). A Multiobjective Evolutionary Algorithm Using Gaussian Process-Based Inverse Modeling. IEEE Transactions on Evolutionary Computation, 19(6), 838-856. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/TEVC.2015.2395073.
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    2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978511
    Wu, I.-C., Lee, C.-S., Hsu, S.-C., Loia, V., Jin, Y., Ting, C.-K., Yen, S.-J., Wu, Y.-G., Horng, M.-F. & Chen, C.-L. (2015). General chairs and program chairs message. 2015 Conference on Technologies and Applications of Artificial Intelligence (TAAI) (S. 13-14). Gehalten auf der 2015 Conference on Technologies and Applications of Artificial Intelligence (TAAI), IEEE. doi:10.1109/TAAI.2015.7407053.
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    2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978522
    Zhang, T., Jin, Y., Ding, Y. & Hao, K. (2015). A cytokine network-inspired cooperative control system for multi-stage stretching processes in fiber production. Soft Computing, 19(6), 1523-1540. Springer Science and Business Media LLC. doi:10.1007/s00500-014-1297-6.
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    2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978523
    Wu, Y., Jin, Y. & Liu, X. (2015). A directed search strategy for evolutionary dynamic multiobjective optimization. Soft Computing, 19(11), 3221-3235. Springer Science and Business Media LLC. doi:10.1007/s00500-014-1477-4.
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    2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978525
    Wang, D.-J., Liu, F., Wang, Y.-Z. & Jin, Y. (2015). A knowledge-based evolutionary proactive scheduling approach in the presence of machine breakdown and deterioration effect. Knowledge-Based Systems, 90, 70-80. Elsevier BV. doi:10.1016/j.knosys.2015.09.032.
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    2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978527
    Cheng, R. & Jin, Y. (2015). A social learning particle swarm optimization algorithm for scalable optimization. Information Sciences, 291, 43-60. Elsevier. doi:10.1016/j.ins.2014.08.039.
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    2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978528
    Sun, C., Jin, Y., Zeng, J. & Yu, Y. (2015). A two-layer surrogate-assisted particle swarm optimization algorithm. Soft Computing, 19(6), 1461-1475. Springer Science and Business Media. doi:10.1007/s00500-014-1283-z.
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    2015 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978529
    Cheng, R., Jin, Y. & Narukawa, K. (2015). Adaptive Reference Vector Generation for Inverse Model Based Evolutionary Multiobjective Optimization with Degenerate and Disconnected Pareto Fronts (Lecture Notes in Computer Science). In A. Gaspar-Cunha, C. Henggeler Antunes & C.C. Coello (Hrsg.), Evolutionary Multi-Criterion Optimization. 8th International Conference, EMO 2015, Guimarães, Portugal, March 29 --April 1, 2015. Proceedings, Part I (S. 127-140). Gehalten auf der 8th International Conference (EMO 2015), Cham: Springer International Publishing. doi:10.1007/978-3-319-15934-8_9.
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    2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978530
    Jin, Y., Ding, Y., Hao, K. & Jin, Y. (2015). An endocrine-based intelligent distributed cooperative algorithm for target tracking in wireless sensor networks. Soft Computing, 19(5), 1427-1441. Springer Science and Business Media. doi:10.1007/s00500-014-1352-3.
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    2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978532
    Rahman, T., Mahapatra, M., Laing, E. & Jin, Y. (2015). Evolutionary non-linear modelling for selecting vaccines against antigenically variable viruses. Bioinformatics, 31(6), 834-840. Oxford University Press (OUP). doi:10.1093/bioinformatics/btu768.
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    2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978536
    Chrol-Cannon, J. & Jin, Y. (2015). Learning structure of sensory inputs with synaptic plasticity leads to interference. Frontiers in Computational Neuroscience, 9. Frontiers Media SA. doi:10.3389/fncom.2015.00103.
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    2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978537
    Gu, S., Cheng, R. & Jin, Y. (2015). Multi-objective ensemble generation. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 5(5), 234-245. Wiley. doi:10.1002/widm.1158.
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    2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978538
    Huang, Y., Jin, Y. & Ding, Y. (2015). New performance indicators for robust optimization over time. 2015 IEEE Congress on Evolutionary Computation (CEC) (S. 1380-1387). Gehalten auf der 2015 IEEE Congress on Evolutionary Computation (CEC), IEEE. doi:10.1109/CEC.2015.7257049.
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    2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978540
    Cheng, R., Olhofer, M. & Jin, Y. (2015). Reference vector based a posteriori preference articulation for evolutionary multiobjective optimization. 2015 IEEE Congress on Evolutionary Computation (CEC) (S. 939-946). Gehalten auf der 2015 IEEE Congress on Evolutionary Computation (CEC), IEEE. doi:10.1109/CEC.2015.7256991.
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    2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978541
    Yang, B., Ding, Y., Jin, Y. & Hao, K. (2015). Self-organized swarm robot for target search and trapping inspired by bacterial chemotaxis. Robotics and Autonomous Systems, 72, 83-92. Elsevier BV. doi:10.1016/j.robot.2015.05.001.
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    2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978542
    Jin, Y. (2015). Special issue on UKCI 2013. Soft Computing, 19(6), 1443-1444. Springer Science and Business Media LLC. doi:10.1007/s00500-015-1649-x.
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    2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978543
    Albukhanajer, W.A., Jin, Y. & Briffa, J.A. (2015). Trade-off between computational complexity and accuracy in evolutionary image feature extraction. 2015 IEEE Congress on Evolutionary Computation (CEC) (S. 2412-2419). Gehalten auf der 2015 IEEE Congress on Evolutionary Computation (CEC), IEEE. doi:10.1109/CEC.2015.7257184.
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    2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978524
    Zhang, X., Tian, Y. & Jin, Y. (2015). A Knee Point-Driven Evolutionary Algorithm for Many-Objective Optimization. IEEE Transactions on Evolutionary Computation, 19(6), 761-776. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/TEVC.2014.2378512.
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    2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978548
    Xue, S., Sun, C., Zeng, J., Jin, Y. & Cheng, R. (2014). Effect of Communication Modes to Swarm Robotic Search. The Open Electrical & Electronic Engineering Journal, 8(1), 240-244. Bentham Science Publishers Ltd. doi:10.2174/1874129001408010240.
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    2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978533
    Gu, S. & Jin, Y. (2014). Generating diverse and accurate classifier ensembles using multi-objective optimization. 2014 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making (MCDM) (S. 9-15). Gehalten auf der 2014 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making (MCDM), IEEE. doi:10.1109/MCDM.2014.7007182.
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    2014 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978544
    Oh, H. & Jin, Y. (2014). Adaptive Swarm Robot Region Coverage Using Gene Regulatory Networks (Lecture Notes in Computer Science). In M. Mistry, A. Leonardis, M. Witkowski & C. Melhuish (Hrsg.), Advances in Autonomous Robotics Systems (S. 197-208). Cham: Springer International Publishing. doi:10.1007/978-3-319-10401-0_18.
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    2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978545
    Zhou, Z.-H., Chawla, N.V., Jin, Y. & Williams, G.J. (2014). Big Data Opportunities and Challenges: Discussions from Data Analytics Perspectives [Discussion Forum]. IEEE Computational Intelligence Magazine, 9(4), 62-74. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/MCI.2014.2350953.
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    2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978546
    Chrol-Cannon, J. & Jin, Y. (2014). Computational modeling of neural plasticity for self-organization of neural networks. Biosystems, 125, 43-54. Elsevier BV. doi:10.1016/j.biosystems.2014.04.003.
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    2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978547
    Cheng, R. & Jin, Y. (2014). Demonstrator selection in a social learning particle swarm optimizer. 2014 IEEE Congress on Evolutionary Computation (CEC) (S. 3103-3110). Gehalten auf der 2014 IEEE Congress on Evolutionary Computation (CEC), IEEE. doi:10.1109/CEC.2014.6900227.
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    2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978549
    Smith, C. & Jin, Y. (2014). Evolutionary multi-objective generation of recurrent neural network ensembles for time series prediction. Neurocomputing, 143, 302-311. Elsevier BV. doi:10.1016/j.neucom.2014.05.062.
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    2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978551
    Jin, Y. (2014). IEEE CIS VP-Technical Activities Vision Statement [Society Briefs]. IEEE Computational Intelligence Magazine, 9(1), 9-10. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/MCI.2013.2291675.
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    2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978550
    Oh, H. & Jin, Y. (2014). Evolving hierarchical gene regulatory networks for morphogenetic pattern formation of swarm robots. 2014 IEEE Congress on Evolutionary Computation (CEC) (S. 776-783). Gehalten auf der 2014 IEEE Congress on Evolutionary Computation (CEC), IEEE. doi:10.1109/CEC.2014.6900365.
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    2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978552
    Yusoff, M.-H. & Jin, Y. (2014). Modeling neural plasticity in echo state networks for time series prediction. 2014 14th UK Workshop on Computational Intelligence (UKCI) (S. 1-7). Gehalten auf der 2014 14th UK Workshop on Computational Intelligence (UKCI), IEEE. doi:10.1109/UKCI.2014.6930163.
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    2014 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978553
    Ramezan Shirazi, A., Oh, H. & Jin, Y. (2014). Morphogenetic Self-Organization of Collective Movement without Directional Sensing (Lecture Notes in Computer Science). In M. Mistry, A. Leonardis, M. Witkowski & C. Melhuish (Hrsg.), Advances in Autonomous Robotics Systems (S. 139-150). Cham: Springer International Publishing. doi:10.1007/978-3-319-10401-0_13.
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    2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978554
    Smith, C., Doherty, J. & Jin, Y. (2014). Multi-objective evolutionary recurrent neural network ensemble for prediction of computational fluid dynamic simulations. 2014 IEEE Congress on Evolutionary Computation (CEC) (S. 2609-2616). Gehalten auf der 2014 IEEE Congress on Evolutionary Computation (CEC), IEEE. doi:10.1109/CEC.2014.6900552.
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    2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978555
    Albukhanajer, W.A., Jin, Y. & Briffa, J.A. (2014). Neural network ensembles for image identification using Pareto-optimal features. 2014 IEEE Congress on Evolutionary Computation (CEC) (S. 89-96). Gehalten auf der 2014 IEEE Congress on Evolutionary Computation (CEC), IEEE. doi:10.1109/CEC.2014.6900349.
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    2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978556 OA
    Chrol-Cannon, J. & Jin, Y. (2014). On the Correlation between Reservoir Metrics and Performance for Time Series Classification under the Influence of Synaptic Plasticity. PLoS ONE, 9(7): e101792. Public Library of Science (PLoS). doi:10.1371/journal.pone.0101792.
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    2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978557
    Thomas, S.A. & Jin, Y. (2014). Reconstructing biological gene regulatory networks: where optimization meets big data. Evolutionary Intelligence, 7(1), 29-47. Springer Science and Business Media LLC. doi:10.1007/s12065-013-0098-7.
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    2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978558
    Liu, T., Sun, C., Zeng, J., Xue, S. & Jin, Y. (2014). Similarity- and reliability-assisted fitness estimation for particle swarm optimization of expensive problems. 2014 IEEE Congress on Evolutionary Computation (CEC) (S. 640-646). Gehalten auf der 2014 IEEE Congress on Evolutionary Computation (CEC), IEEE. doi:10.1109/CEC.2014.6900509.
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    2013 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978559
    Albukhanajer, W.A., Jin, Y., Briffa, J.A. & Williams, G. (2013). A Comparative Study of Multi-objective Evolutionary Trace Transform Methods for Robust Feature Extraction (Lecture Notes in Computer Science). In R.C. Purshouse, P.J. Fleming, C.M. Fonseca, S. Greco & J. Shaw (Hrsg.), Evolutionary Multi-Criterion Optimization (S. 573-586). Berlin, Heidelberg: Springer Berlin Heidelberg. doi:10.1007/978-3-642-37140-0_43.
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    2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978560
    Jin, Y., Tang, K., Yu, X., Sendhoff, B. & Yao, X. (2013). A framework for finding robust optimal solutions over time. Memetic Computing, 5(1), 3-18. Springer Science and Business Media LLC. doi:10.1007/s12293-012-0090-2.
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    2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978561
    Meng, Y., Guo, H. & Jin, Y. (2013). A morphogenetic approach to flexible and robust shape formation for swarm robotic systems. Robotics and Autonomous Systems, 61(1), 25-38. Elsevier BV. doi:10.1016/j.robot.2012.09.009.
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    2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978562
    Sun, C., Zeng, J., Pan, J., Xue, S. & Jin, Y. (2013). A new fitness estimation strategy for particle swarm optimization. Information Sciences, 221, 355-370. Elsevier BV. doi:10.1016/j.ins.2012.09.030.
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    2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978563
    Chen, J., Ding, Y., Jin, Y. & Hao, K. (2013). A synergetic immune clonal selection algorithm based multi-objective optimization method for carbon fiber drawing process. Fibers and Polymers, 14(10), 1722-1730. Springer Science and Business Media LLC. doi:10.1007/s12221-013-1722-y.
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    2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978564
    Lu, J., Li, B., Jin, Y. & Alba, E. (2013). An evolution strategy assisted by an ensemble of local Gaussian process models. In C. Blum (Hrsg.), Proceedings of the 15th annual conference on Genetic and evolutionary computation (S. 447-454). Gehalten auf der GECCO '13: Genetic and Evolutionary Computation Conference, New York, NY, USA: ACM. doi:10.1145/2463372.2463425.
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    2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978565
    Jia, G., Wang, Y., Cai, Z. & Jin, Y. (2013). An improved (μ+λ)-constrained differential evolution for constrained optimization. Information Sciences, 222, 302-322. Elsevier BV. doi:10.1016/j.ins.2012.01.017.
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    2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978566
    Le, M.N., Ong, Y.S., Menzel, S., Jin, Y. & Sendhoff, B. (2013). Evolution by Adapting Surrogates. Evolutionary Computation, 21(2), 313-340. MIT Press. doi:10.1162/EVCO_a_00079.
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    2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978567
    Chai, T., Jin, Y. & Sendhoff, B. (2013). Evolutionary Complex Engineering Optimization: Opportunities and Challenges [Guest Editorial]. IEEE Computational Intelligence Magazine, 8(3), 12-15. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/MCI.2013.2264563.
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    2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978568
    Xiao, A., Wang, B. & Jin, Y. (2013). Evolutionary truss layout optimization using the vectorized structure approach. 2013 IEEE Congress on Evolutionary Computation (S. 2879-2886). Gehalten auf der 2013 IEEE Congress on Evolutionary Computation (CEC), IEEE. doi:10.1109/CEC.2013.6557919.
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    2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978569
    THOMAS, S.P.E.N.C.E.R.A.N.G.U.S. & Jin, Y. (2013). EVOLVING CONNECTIVITY BETWEEN GENETIC OSCILLATORS AND SWITCHES USING EVOLUTIONARY ALGORITHMS. Journal of Bioinformatics and Computational Biology, 11(03): 1341001. World Scientific Pub Co Pte Ltd. doi:10.1142/S0219720013410011.
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    2013 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978571
    Zhuang, L., Tang, K. & Jin, Y. (2013). Metamodel Assisted Mixed-Integer Evolution Strategies Based on Kendall Rank Correlation Coefficient (Lecture Notes in Computer Science). In H. Yin, K. Tang, Y. Gao, F. Klawonn, M. Lee, T. Weise, B. Li & X. Yao (Hrsg.), Intelligent Data Engineering and Automated Learning – IDEAL 2013 (S. 366-375). Berlin, Heidelberg: Springer Berlin Heidelberg. doi:10.1007/978-3-642-41278-3_45.
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    2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978572
    Thomas, S.A., Jin, Y., Laing, E. & Smith, C.P. (2013). Reconstructing regulatory networks in Streptomyces using evolutionary algorithms. 2013 13th UK Workshop on Computational Intelligence (UKCI) (S. 24-30). Gehalten auf der 2013 13th UK Workshop on Computational Intelligence (UKCI), IEEE. doi:10.1109/UKCI.2013.6651283.
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    2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978573
    Smith, C., Doherty, J. & Jin, Y. (2013). Recurrent neural network ensembles for convergence prediction in surrogate-assisted evolutionary optimization. 2013 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments (CIDUE) (S. 9-16). Gehalten auf der 2013 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments (CIDUE), IEEE. doi:10.1109/CIDUE.2013.6595766.
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    2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978575
    Cheng, R. & Jin, Y. (2013). Simulating swarm behaviuors for optimisation by learning from neighbours. 2013 13th UK Workshop on Computational Intelligence (UKCI) (S. 82-87). Gehalten auf der 2013 13th UK Workshop on Computational Intelligence (UKCI), IEEE. doi:10.1109/UKCI.2013.6651291.
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  • [85]
    2013 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978576
    Thomas, S.A. & Jin, Y. (2013). Single and Multi-objective in Silico Evolution of Tunable Genetic Oscillators (Lecture Notes in Computer Science). In R.C. Purshouse, P.J. Fleming, C.M. Fonseca, S. Greco & J. Shaw (Hrsg.), Evolutionary Multi-Criterion Optimization (S. 696-709). Berlin, Heidelberg: Springer Berlin Heidelberg. doi:10.1007/978-3-642-37140-0_52.
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  • [84]
    2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978574
    Sun, C., Zeng, J., Pan, J. & Jin, Y. (2013). Similarity-based evolution control for fitness estimation in particle swarm optimization. Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments (CIDUE) (S. 1-8). Gehalten auf der 2013 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments (CIDUE), IEEE. doi:10.1109/CIDUE.2013.6595765.
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  • [83]
    2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978577
    Jin, Y. (2012). 2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (IEEE CIBCB 2012) [Conference Reports]. IEEE Computational Intelligence Magazine, 7(4), 17-17. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/MCI.2012.2215495.
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  • [82]
    2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978578
    Yin, J., Meng, Y. & Jin, Y. (2012). A Developmental Approach to Structural Self-Organization in Reservoir Computing. IEEE Transactions on Autonomous Mental Development, 4(4), 273-289. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/TAMD.2012.2182765.
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  • [81]
    2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978579
    Guo, H., Jin, Y. & Meng, Y. (2012). A morphogenetic framework for self-organized multirobot pattern formation and boundary coverage. ACM Transactions on Autonomous and Adaptive Systems, 7(1), 1-23. Association for Computing Machinery (ACM). doi:10.1145/2168260.2168275.
    PUB | DOI | Download (ext.)
     
  • [80]
    2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978580
    Le, M.N., Ong, Y.S., Jin, Y. & Sendhoff, B. (2012). A Unified Framework for Symbiosis of Evolutionary Mechanisms with Application to Water Clusters Potential Model Design. IEEE Computational Intelligence Magazine, 7(1), 20-35. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/MCI.2011.2176995.
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  • [79]
    2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978581
    Bush, D. & Jin, Y. (2012). Calcium control of triphasic hippocampal STDP. Journal of Computational Neuroscience, 33(3), 495-514. Springer Science and Business Media LLC. doi:10.1007/s10827-012-0397-5.
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  • [78]
    2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978582
    Thomas, S.A. & Jin, Y. (2012). Combining genetic oscillators and switches using evolutionary algorithms. 2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB) (S. 28-34). Gehalten auf der 2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), IEEE. doi:10.1109/CIBCB.2012.6217207.
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  • [77]
    2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978583
    Doncieux, S., Jin, Y., Mouret, J.-B. & Moore, J.H. (2012). Evo-devo-robo workshop program. In T. Soule (Hrsg.), Proceedings of the 14th annual conference companion on Genetic and evolutionary computation (S. 355-356). Gehalten auf der GECCO '12: Genetic and Evolutionary Computation Conference, New York, NY, USA: ACM. doi:10.1145/2330784.2330836.
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  • [76]
    2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978584
    Schramm, L., Jin, Y. & Sendhoff, B. (2012). Evolution and Analysis of Genetic Networks for Stable Cellular Growth and Regeneration. Artificial Life, 18(4), 425-444. MIT Press. doi:10.1162/ARTL_a_00075.
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  • [75]
    2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978585
    Albukhanajer, W.A., Jin, Y., Briffa, J.A. & Williams, G. (2012). Evolutionary multi-objective optimization of trace transform for invariant feature extraction. 2012 IEEE Congress on Evolutionary Computation (S. 1-8). Gehalten auf der 2012 IEEE Congress on Evolutionary Computation (CEC), IEEE. doi:10.1109/CEC.2012.6256160.
    PUB | DOI | Download (ext.)
     
  • [74]
    2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978586
    Gu, S. & Jin, Y. (2012). Heterogeneous classifier ensembles for EEG-based motor imaginary detection. 2012 12th UK Workshop on Computational Intelligence (UKCI) (S. 1-8). Gehalten auf der 2012 12th UK Workshop on Computational Intelligence (UKCI), IEEE. doi:10.1109/UKCI.2012.6335751.
    PUB | DOI | Download (ext.)
     
  • [73]
    2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978587
    Schramm, L., Jin, Y. & Sendhoff, B. (2012). Quantitative analysis of redundancy in evolution of developmental systems. 2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB) (S. 61-68). Gehalten auf der 2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), IEEE. doi:10.1109/CIBCB.2012.6217212.
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  • [72]
    2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978588
    Chrol-Cannon, J., Gruning, A. & Jin, Y. (2012). The emergence of polychronous groups under varying input patterns, plasticity rules and network connectivities. The 2012 International Joint Conference on Neural Networks (IJCNN) (S. 1-6). Gehalten auf der 2012 International Joint Conference on Neural Networks (IJCNN 2012 - Brisbane), IEEE. doi:10.1109/IJCNN.2012.6252828.
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  • [71]
    2011 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978589
    Meng, Y., Guo, H. & Jin, Y. (2011). A Multi-cellular Based Self-organizing Approach for Distributed Multi-Robot Systems (Studies in Computational Intelligence). In S. Doncieux, N. Bredèche & J.-B. Mouret (Hrsg.), New Horizons in Evolutionary Robotics (S. 123-137). Berlin, Heidelberg: Springer Berlin Heidelberg. doi:10.1007/978-3-642-18272-3_9.
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  • [70]
    2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978590
    Meng, Y., Zhang, Y. & Jin, Y. (2011). Autonomous Self-Reconfiguration of Modular Robots by Evolving a Hierarchical Mechanochemical Model. IEEE Computational Intelligence Magazine, 6(1), 43-54. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/MCI.2010.939579.
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  • [69]
    2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978591
    Meng, Y., Zhang, Y., Sampath, A., Jin, Y. & Sendhoff, B. (2011). Cross-Ball: A new morphogenetic self-reconfigurable modular robot. 2011 IEEE International Conference on Robotics and Automation (S. 267-272). Gehalten auf der 2011 IEEE International Conference on Robotics and Automation (ICRA), IEEE. doi:10.1109/ICRA.2011.5979973.
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  • [68]
    2011 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978592
    Schramm, L., Jin, Y. & Sendhoff, B. (2011). Emerged Coupling of Motor Control and Morphological Development in Evolution of Multi-cellular Animats (Lecture Notes in Computer Science). In G. Kampis, I. Karsai & E. Szathmáry (Hrsg.), Advances in Artificial Life. Darwin Meets von Neumann (S. 27-34). Berlin, Heidelberg: Springer Berlin Heidelberg. doi:10.1007/978-3-642-21283-3_4.
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  • [67]
    2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978594
    Jin, Y., Meng, Y., Weng, J. & Kasabov, N. (2011). Guest Editorial Special Issue on Computational Modeling of Neural and Brain Development. IEEE Transactions on Autonomous Mental Development, 3(4), 273-275. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/TAMD.2011.2172729.
    PUB | DOI | Download (ext.)
     
  • [66]
    2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978593
    Jin, Y. & Meng, Y. (2011). Emergence of robust regulatory motifs from in silico evolution of sustained oscillation. Biosystems, 103(1), 38-44. Elsevier BV. doi:10.1016/j.biosystems.2010.09.009.
    PUB | DOI | Download (ext.)
     
  • [65]
    2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978595
    Tyrrell, A.M. & Jin, Y. (2011). Guest Editorial: Special Issue on Evolving Developmental Systems. IEEE Transactions on Evolutionary Computation, 15(3), 285-286. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/TEVC.2011.2153090.
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  • [64]
    2011 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978596
    Jin, Y. & Meng, Y. (2011). Morphogenetic Robotics - An Evolutionary Developmental Approach to Morphological and Neural Self-Organization of Robotic Systems (Studies in Computational Intelligence). In Y. Meng & Y. Jin (Hrsg.), Bio-Inspired Self-Organizing Robotic Systems (S. 3-23). Berlin, Heidelberg: Springer Berlin Heidelberg. doi:10.1007/978-3-642-20760-0_1.
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  • [63]
    2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978597
    Jin, Y. & Meng, Y. (2011). Morphogenetic Robotics: An Emerging New Field in Developmental Robotics. IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), 41(2), 145-160. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/TSMCC.2010.2057424.
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  • [62]
    2011 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978598
    Meng, Y. & Jin, Y. (2011). Morphogenetic Self-Reconfiguration of Modular Robots (Studies in Computational Intelligence). In Y. Meng & Y. Jin (Hrsg.), Bio-Inspired Self-Organizing Robotic Systems (S. 143-171). Berlin, Heidelberg: Springer Berlin Heidelberg. doi:10.1007/978-3-642-20760-0_7.
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  • [61]
    2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978599
    Liu, M., Zhang, S. & Jin, Y. (2011). Multi-sensor optimal fusion filters for delayed nonlinear intelligent systems based on a unified model. Neural Networks, 24(3), 280-290. Elsevier BV. doi:10.1016/j.neunet.2010.11.006.
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  • [60]
    2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978600
    Zheng, Y., Meng, Y. & Jin, Y. (2011). Object recognition using a bio-inspired neuron model with bottom-up and top-down pathways. Neurocomputing, 74(17), 3158-3169. Elsevier BV. doi:10.1016/j.neucom.2011.04.020.
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    2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978601
    Schramm, L., Jin, Y. & Sendhoff, B. (2011). Redundancy creates opportunity in developmental representations. 2011 IEEE Symposium on Artificial Life (ALIFE) (S. 203-210). Gehalten auf der 2011 Ieee Symposium On Artificial Life - Part Of 17273 - 2011 Ssci, IEEE. doi:10.1109/ALIFE.2011.5954649.
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  • [58]
    2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978602
    Gehrmann, E., Gläßer, C., Jin, Y., Sendhoff, B., Drossel, B. & Hamacher, K. (2011). Robustness of glycolysis in yeast to internal and external noise. Physical Review E, 84(2): 021913. American Physical Society (APS). doi:10.1103/PhysRevE.84.021913.
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  • [57]
    2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978603
    Jin, Y. (2011). Surrogate-assisted evolutionary computation: Recent advances and future challenges. Swarm and Evolutionary Computation, 1(2), 61-70. Elsevier BV. doi:10.1016/j.swevo.2011.05.001.
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    2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978604
    Guo, H., Meng, Y. & Jin, Y. (2011). Swarm robot pattern formation using a morphogenetic multi-cellular based self-organizing algorithm. 2011 IEEE International Conference on Robotics and Automation (S. 3205-3210). Gehalten auf der 2011 IEEE International Conference on Robotics and Automation (ICRA), IEEE. doi:10.1109/ICRA.2011.5979821.
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  • [55]
    2011 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978605
    Jones, B., Jin, Y., Sendhoff, B. & Yao, X. (2011). The Effect of Proprioceptive Feedback on the Distribution of Sensory Information in a Model of an Undulatory Organism (Lecture Notes in Computer Science). In G. Kampis, I. Karsai & E. Szathmáry (Hrsg.), Advances in Artificial Life. Darwin Meets von Neumann (S. 18-26). Berlin, Heidelberg: Springer Berlin Heidelberg. doi:10.1007/978-3-642-21283-3_3.
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  • [54]
    2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978606
    Jin, Y. & Trommler, J. (2010). A fitness-independent evolvability measure for evolutionary developmental systems. 2010 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (S. 1-8). Gehalten auf der 2010 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), IEEE. doi:10.1109/CIBCB.2010.5510475.
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    2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978607
    Jin, Y., Meng, Y. & Guo, H. (2010). A morphogenetic self-organization algorithm for swarm robotic systems using relative position information. 2010 UK Workshop on Computational Intelligence (UKCI) (S. 1-6). Gehalten auf der 2010 UK Workshop on Computational Intelligence (UKCI), IEEE. doi:10.1109/UKCI.2010.5625575.
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    2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978608
    Guo, H., Meng, Y. & Jin, Y. (2010). Analysis of local communication load in shape formation of a distributed morphogenetic swarm robotic system. IEEE Congress on Evolutionary Computation (S. 1-8). Gehalten auf der 2010 IEEE Congress on Evolutionary Computation (CEC), IEEE. doi:10.1109/CEC.2010.5586310.
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  • [51]
    2010 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978609
    Jones, B., Jin, Y., Sendhoff, B. & Yao, X. (2010). Emergent Distribution of Computational Workload in the Evolution of an Undulatory Animat (Lecture Notes in Computer Science). In S. Doncieux, B. Girard, A. Guillot, J. Hallam, J.-A. Meyer & J.-B. Mouret (Hrsg.), From Animals to Animats 11 (S. 587-596). Berlin, Heidelberg: Springer Berlin Heidelberg. doi:10.1007/978-3-642-15193-4_55.
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  • [50]
    2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978610
    Steiner, T., Jin, Y., Sendhoff, B., Pelikan, M. & Branke, J. (2010). Evolving heterochrony for cellular differentiation using vector field embryogeny. Proceedings of the 12th annual conference on Genetic and evolutionary computation (S. 571-578). Gehalten auf der GECCO '10: Genetic and Evolutionary Computation Conference, New York, NY, USA: ACM. doi:10.1145/1830483.1830590.
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    2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978611
    Zheng, Y., Meng, Y. & Jin, Y. (2010). Fusing bottom-up and top-down pathways in neural networks for visual object recognition. The 2010 International Joint Conference on Neural Networks (IJCNN) (S. 1-8). Gehalten auf der 2010 International Joint Conference on Neural Networks (IJCNN), IEEE. doi:10.1109/IJCNN.2010.5596497.
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  • [48]
    2010 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978612
    Jin, Y. & Meng, Y. (2010). Special Issue on Evolutionary and Developmental Robotics [Guest Editorial. IEEE Computational Intelligence Magazine, 5(3), 9-9. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/MCI.2010.937327.
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    2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978613
    Meng, Y., Jin, Y., Yin, J. & Conforth, M. (2010). Human activity detection using spiking neural networks regulated by a gene regulatory network. The 2010 International Joint Conference on Neural Networks (IJCNN) (S. 1-6). Gehalten auf der 2010 International Joint Conference on Neural Networks (IJCNN), IEEE. doi:10.1109/IJCNN.2010.5596340.
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  • [46]
    2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978615
    Jin, Y., Oh, S. & Jeon, M. (2010). Incremental approximation of nonlinear constraint functions for evolutionary constrained optimization. IEEE Congress on Evolutionary Computation (S. 1-8). Gehalten auf der 2010 IEEE Congress on Evolutionary Computation (CEC), IEEE. doi:10.1109/CEC.2010.5586355.
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    2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978617
    Yu, X., Jin, Y., Tang, K. & Yao, X. (2010). Robust optimization over time — A new perspective on dynamic optimization problems. IEEE Congress on Evolutionary Computation (S. 1-6). Gehalten auf der 2010 IEEE Congress on Evolutionary Computation (CEC), IEEE. doi:10.1109/CEC.2010.5586024.
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  • [44]
    2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978618
    Guo, H., Meng, Y. & Jin, Y. (2009). A cellular mechanism for multi-robot construction via evolutionary multi-objective optimization of a gene regulatory network. Biosystems, 98(3), 193-203. Elsevier BV. doi:10.1016/j.biosystems.2009.05.003.
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  • [43]
    2009 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978619
    Jin, Y., Schramm, L. & Sendhoff, B. (2009). A Gene Regulatory Model for the Development of Primitive Nervous Systems (Lecture Notes in Computer Science). In M. Köppen, N. Kasabov & G. Coghill (Hrsg.), Advances in Neuro-Information Processing. 15th International Conference, ICONIP 2008, Auckland, New Zealand, November 25-28, 2008, Revised Selected Papers, Part I (S. 48-55). Berlin, Heidelberg: Springer Berlin Heidelberg. doi:10.1007/978-3-642-02490-0_6.
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  • [42]
    2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978620
    Jin, Y. & Sendhoff, B. (2009). A systems approach to evolutionary multiobjective structural optimization and beyond. IEEE Computational Intelligence Magazine, 4(3), 62-76. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/MCI.2009.933094.
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  • [41]
    2009 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978621
    Okabe, T., Jin, Y. & Sendhoff, B. (2009). Combination of Genetic Algorithms and Evolution Strategies with Self-adaptive Switching (Studies in Computational Intelligence). In C.-K. Goh, Y.-S. Ong & K.C. Tan (Hrsg.), Multi-Objective Memetic Algorithms (S. 281-307). Berlin, Heidelberg: Springer Berlin Heidelberg. doi:10.1007/978-3-540-88051-6_13.
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  • [40]
    2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978622
    Jin, Y. & Sendhoff, B. (2009). Corrections to “Pareto-Based Multiobjective Machine Learning: An Overview and Case Studies” [May 08 397-415]. IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), 39(3), 373-373. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/TSMCC.2009.2018893.
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  • [39]
    2009 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978623
    Jones, B., Jin, Y., Yao, X. & Sendhoff, B. (2009). Evolution of Neural Organization in a Hydra-Like Animat (Lecture Notes in Computer Science). In M. Köppen, N. Kasabov & G. Coghill (Hrsg.), Advances in Neuro-Information Processing. 15th International Conference, ICONIP 2008, Auckland, New Zealand, November 25-28, 2008, Revised Selected Papers, Part I (S. 216-223). Berlin, Heidelberg: Springer Berlin Heidelberg. doi:10.1007/978-3-642-02490-0_27.
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  • [38]
    2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978624
    Jin, Y., Gruna, R., Paenke, I. & Sendhoff, B. (2009). Evolutionary multi-objective optimization of robustness and innovation in redundant genetic representations. 2009 IEEE Symposium on Computational Intelligence in Milti-Criteria Decision-Making (S. 38-45). Gehalten auf der 2009 IEEE Symposium on Computational Intelligence in Milti-Criteria Decision-Making (MCDM), IEEE. doi:10.1109/MCDM.2009.4938826.
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  • [37]
    2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978625
    Jin, Y. & Hallinan, J. (2009). Evolving gene regulatory networks. Biosystems, 98(3), vi-vii. Elsevier BV. doi:10.1016/S0303-2647(09)00181-6.
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  • [36]
    2009 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978626
    Jin, Y. & Sendhoff, B. (2009). Fuzzy Logic in Evolving in silico Oscillatory Dynamics for Gene Regulatory Networks (Studies in Fuzziness and Soft Computing). In Y. Jin & L. Wang (Hrsg.), Fuzzy Systems in Bioinformatics and Computational Biology (S. 315-327). Berlin, Heidelberg: Springer Berlin Heidelberg. doi:10.1007/978-3-540-89968-6_16.
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  • [35]
    2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978627
    Steiner, T., Trommler, J., Brenn, M., Jin, Y. & Sendhoff, B. (2009). Global shape with morphogen gradients and motile polarized cells. 2009 IEEE Congress on Evolutionary Computation (S. 2225-2232). Gehalten auf der 2009 IEEE Congress on Evolutionary Computation (CEC), IEEE. doi:10.1109/CEC.2009.4983217.
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  • [34]
    2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978628
    Jin, Y., Meng, Y. & Sendhoff, B. (2009). Influence of regulation logic on the easiness of evolving sustained oscillation for gene regulatory networks. 2009 IEEE Symposium on Artificial Life (S. 61-68). Gehalten auf der 2009 IEEE Symposium on Artificial Life (ALife), IEEE. doi:10.1109/ALIFE.2009.4937695.
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  • [33]
    2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978629
    Le, M.N., Ong, Y.-S., Jin, Y. & Sendhoff, B. (2009). Lamarckian memetic algorithms: local optimum and connectivity structure analysis. Memetic Computing, 1(3), 175-190. Springer Science and Business Media LLC. doi:10.1007/s12293-009-0016-9.
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    2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978630
    Meeter, M., Veldkamp, R. & Jin, Y. (2009). Multiple memory stores and operant conditioning: A rationale for memory’s complexity. Brain and Cognition, 69(1), 200-208. Elsevier BV. doi:10.1016/j.bandc.2008.07.007.
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  • [31]
    2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978631
    Jin, Y., Gruna, R. & Sendhoff, B. (2009). Pareto analysis of evolutionary and learning systems. Frontiers of Computer Science in China, 3(1), 4-17. Springer Science and Business Media LLC. doi:10.1007/s11704-009-0004-8.
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    2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978632
    Jin, Y., Guo, H. & Meng, Y. (2009). Robustness Analysis and Failure Recovery of a Bio-Inspired Self-Organizing Multi-Robot System. 2009 Third IEEE International Conference on Self-Adaptive and Self-Organizing Systems (S. 154-164). Gehalten auf der 2009 Third IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO), IEEE. doi:10.1109/SASO.2009.19.
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  • [29]
    2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978633
    Guo, H., Meng, Y. & Jin, Y. (2009). Self-adaptive multi-robot construction using gene regulatory networks. 2009 IEEE Symposium on Artificial Life (S. 53-60). Gehalten auf der 2009 IEEE Symposium on Artificial Life (ALife), IEEE. doi:10.1109/ALIFE.2009.4937694.
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  • [28]
    2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978634 OA
    Steiner, T., Jin, Y. & Sendhoff, B. (2009). Vector Field Embryogeny. PLoS ONE, 4(12): e8177. Public Library of Science (PLoS). doi:10.1371/journal.pone.0008177.
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  • [27]
    2008 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978636
    Zhou, A., Zhang, Q., Jin, Y. & Sendhoff, B. (2008). Combination of EDA and DE for continuous biobjective optimization. 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence) (S. 1447-1454). Gehalten auf der 2008 IEEE Congress on Evolutionary Computation (CEC), IEEE. doi:10.1109/CEC.2008.4630984.
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  • [26]
    2008 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978637
    Zhang, Q., Zhou, A. & Jin, Y. (2008). Errata to “RM-MEDA: A Regularity Model-Based Multiobjective Estimation of Distribution Algorithm” [Feb 08 41-63]. IEEE Transactions on Evolutionary Computation, 12(3), 392-392. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/TEVC.2008.923818.
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  • [25]
    2008 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978638
    Lim, D., Ong, Y.-S., Jin, Y. & Sendhoff, B. (2008). Evolutionary Optimization with Dynamic Fidelity Computational Models (Lecture Notes in Computer Science). In D.-S. Huang, D.C. Wunsch, D.S. Levine & K.-H. Jo (Hrsg.), Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence. 4th International Conference on Intelligent Computing, ICIC 2008 Shanghai, China, September 15-18, 2008 Proceedings (S. 235-242). Berlin, Heidelberg: Springer Berlin Heidelberg. doi:10.1007/978-3-540-85984-0_29.
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  • [24]
    2008 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978639
    Jin, Y., Sendhoff, B. & Körner, E. (2008). Rule Extraction from Compact Pareto-optimal Neural Networks (Studies in Computational Intelligence). In A. Ghosh, S. Dehuri & S. Ghosh (Hrsg.), Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases (S. 71-90). Berlin, Heidelberg: Springer Berlin Heidelberg. doi:10.1007/978-3-540-77467-9_4.
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  • [23]
    2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978640
    Lim, D., Ong, Y.-S., Jin, Y., Sendhoff, B. & Lipson, H. (2007). A study on metamodeling techniques, ensembles, and multi-surrogates in evolutionary computation. Proceedings of the 9th annual conference on Genetic and evolutionary computation (S. 1288-1295). Gehalten auf der GECCO07: Genetic and Evolutionary Computation Conference, New York, NY, USA: ACM. doi:10.1145/1276958.1277203.
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  • [22]
    2007 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978641
    Lim, D., Ong, Y.-S., Jin, Y., Sendhoff, B. & Lee, B.-S. (2007). Efficient Hierarchical Parallel Genetic Algorithms using Grid computing. Future Generation Computer Systems, 23(4), 658-670. Elsevier BV. doi:10.1016/j.future.2006.10.008.
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  • [21]
    2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978642
    Steiner, T., Schramm, L., Jin, Y. & Sendhoff, B. (2007). Emergence of feedback in artificial gene regulatory networks. 2007 IEEE Congress on Evolutionary Computation (S. 867-874). Gehalten auf der 2007 IEEE Congress on Evolutionary Computation, IEEE. doi:10.1109/CEC.2007.4424561.
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  • [20]
    2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978643
    Zhou, A., Zhang, Q., Jin, Y., Sendhoff, B., Tsang, E. & Lipson, H. (2007). Global multiobjective optimization via estimation of distribution algorithm with biased initialization and crossover. Proceedings of the 9th annual conference on Genetic and evolutionary computation (S. 617-623). Gehalten auf der GECCO07: Genetic and Evolutionary Computation Conference, New York, NY, USA: ACM. doi:10.1145/1276958.1277082.
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  • [19]
    2007 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978644
    Gräning, L., Jin, Y. & Sendhoff, B. (2007). Individual-based Management of Meta-models for Evolutionary Optimization with Application to Three-Dimensional Blade Optimization (Studies in Computational Intelligence). In S. Yang, Y.-S. Ong & Y. Jin (Hrsg.), Evolutionary Computation in Dynamic and Uncertain Environments (S. 225-250). Berlin, Heidelberg: Springer Berlin Heidelberg. doi:10.1007/978-3-540-49774-5_10.
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  • [18]
    2007 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978645
    Lim, D., Ong, Y.-S., Lim, M.-H. & Jin, Y. (2007). Single/Multi-objective Inverse Robust Evolutionary Design Methodology in the Presence of Uncertainty (Studies in Computational Intelligence). In S. Yang, Y.-S. Ong & Y. Jin (Hrsg.), Evolutionary Computation in Dynamic and Uncertain Environments (S. 437-456). Berlin, Heidelberg: Springer Berlin Heidelberg. doi:10.1007/978-3-540-49774-5_19.
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  • [17]
    2006 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978646
    Wang, H., Kwong, S., Jin, Y. & Tsang , C.-H. (2006). Agent Based Multi-Objective Approach to Generating Interpretable Fuzzy Systems (Studies in Computational Intelligence). In Y. Jin (Hrsg.), Multi-Objective Machine Learning (S. 339-364). Berlin/Heidelberg: Springer-Verlag. doi:10.1007/11399346_15.
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  • [16]
    2006 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978647
    Yang, S., Ong, Y.-S. & Jin, Y. (2006). Editorial to special issue on evolutionary computation in dynamic and uncertain environments. Genetic Programming and Evolvable Machines, 7(4), 293-294. Springer Science and Business Media LLC. doi:10.1007/s10710-006-9016-4.
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  • [15]
    2006 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978648
    Branke, J. & Jin, Y. (2006). Guest Editorial Special Issue on Evolutionary Computation in the Presence of Uncertainty. IEEE Transactions on Evolutionary Computation, 10(4), 377-379. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/TEVC.2005.859466.
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  • [14]
    2006 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978649
    Lim, D., Ong, Y.-S., Jin, Y., Sendhoff, B. & Lee, B.S. (2006). Inverse multi-objective robust evolutionary design. Genetic Programming and Evolvable Machines, 7(4), 383-404. Springer Science and Business Media LLC. doi:10.1007/s10710-006-9013-7.
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  • [13]
    2006 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978650
    Foli, K., Okabe, T., Olhofer, M., Jin, Y. & Sendhoff, B. (2006). Optimization of micro heat exchanger: CFD, analytical approach and multi-objective evolutionary algorithms. International Journal of Heat and Mass Transfer, 49(5-6), 1090-1099. Elsevier BV. doi:10.1016/j.ijheatmasstransfer.2005.08.032.
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  • [12]
    2006 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978651
    Jin, Y., Sendhoff, B. & Körner, E. (2006). Simultaneous Generation of Accurate and Interpretable Neural Network Classifiers (Studies in Computational Intelligence). In Y. Jin (Hrsg.), Multi-Objective Machine Learning (S. 289-312). Berlin/Heidelberg: Springer-Verlag. doi:10.1007/11399346_13.
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  • [11]
    2005 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978652
    Wang, H., Kwong, S., Jin, Y., Wei, W. & Man, K.-F. (2005). Agent-Based Evolutionary Approach for Interpretable Rule-Based Knowledge Extraction. IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews), 35(2), 143-155. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/TSMCC.2004.841910.
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  • [10]
    2005 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978653
    Jin, Y. & Branke, J. (2005). Evolutionary Optimization in Uncertain Environments—A Survey. IEEE Transactions on Evolutionary Computation, 9(3), 303-317. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/TEVC.2005.846356.
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  • [9]
    2005 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978654
    Jin, Y. (2005). Guest Editorial Special Issue on Knowledge Extraction and Incorporation in Evolutionary Computation. IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews), 35(2), 129-130. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/TSMCC.2004.842035.
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  • [8]
    2005 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978655
    Wang, H., Kwong, S., Jin, Y., Wei, W. & Man, K.F. (2005). Multi-objective hierarchical genetic algorithm for interpretable fuzzy rule-based knowledge extraction. Fuzzy Sets and Systems, 149(1), 149-186. Elsevier BV. doi:10.1016/j.fss.2004.07.013.
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  • [7]
    2004 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978656
    Jin, Y. & Sendhoff, B. (2004). Reducing Fitness Evaluations Using Clustering Techniques and Neural Network Ensembles (Lecture Notes in Computer Science). In K. Deb (Hrsg.), Genetic and Evolutionary Computation – GECCO 2004. Genetic and Evolutionary Computation Conference, Seattle, WA, USA, June 26-30, 2004. Proceedings, Part I (S. 688-699). Gehalten auf der Genetic and Evolutionary Computation Conference (GECCO 2004), Berlin, Heidelberg: Springer. doi:10.1007/978-3-540-24854-5_71.
    PUB | DOI
     
  • [6]
    2003 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978657
    Jin, Y., Okabe, T. & Sendhoff, B. (2003). Solving Three-Objective Optimization Problems Using Evolutionary Dynamic Weighted Aggregation: Results and Analysis (Lecture Notes in Computer Science). In 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, M. Harman, J. Wegener, D. Dasgupta, M.A. Potter, A.C. Schultz, K.A. Dowsland, N. Jonoska & J. Miller (Hrsg.), Genetic and Evolutionary Computation — GECCO 2003 (S. 636-637). Berlin, Heidelberg: Springer Berlin Heidelberg. doi:10.1007/3-540-45105-6_75.
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  • [5]
    2003 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978658
    Jin, Y. & Sendhoff, B. (2003). Trade-Off between Performance and Robustness: An Evolutionary Multiobjective Approach (Lecture Notes in Computer Science). In C.M. Fonseca, P.J. Fleming, E. Zitzler, L. Thiele & K. Deb (Hrsg.), Evolutionary Multi-Criterion Optimization (S. 237-251). Berlin, Heidelberg: Springer Berlin Heidelberg. doi:10.1007/3-540-36970-8_17.
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  • [4]
    2000 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978659
    Jin, Y. (2000). Fuzzy modeling of high-dimensional systems: complexity reduction and interpretability improvement. IEEE Transactions on Fuzzy Systems, 8(2), 212-221. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/91.842154.
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  • [3]
    1999 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978660
    Jin, Y. & von Seelen, W. (1999). Evaluating flexible fuzzy controllers via evolution strategies. Fuzzy Sets and Systems, 108(3), 243-252. Elsevier. doi:10.1016/S0165-0114(97)00334-5.
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  • [2]
    1995 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978661
    Jin, Y., Jiang, J. & Zhu, J. (1995). Adaptive fuzzy modelling and identification with its applications. International Journal of Systems Science, 26(2), 197-212. Informa UK. doi:10.1080/00207729508929031.
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  • [1]
    1995 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978684
    Jin, Y., Jiang, J. & Zhu, J. (1995). Neural network based fuzzy identification and its application to modeling and control of complex systems. IEEE Transactions on Systems, Man, and Cybernetics, 25(6), 990-997. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/21.384264.
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