Yaochu Jin

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

PEVZ-ID
308725127

441 Publikationen

Alle markieren

  • [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. https://doi.org/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. https://doi.org/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. https://doi.org/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. https://doi.org/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. https://doi.org/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. https://doi.org/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. https://doi.org/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. https://doi.org/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. https://doi.org/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. https://doi.org/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. https://doi.org/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. https://doi.org/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. https://doi.org/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. https://doi.org/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. https://doi.org/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. https://doi.org/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., et al. (2024). IM-IAD: Industrial Image Anomaly Detection Benchmark in Manufacturing. IEEE Transactions on Cybernetics, 1-14. https://doi.org/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. https://doi.org/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. https://doi.org/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. https://doi.org/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. https://doi.org/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. https://doi.org/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. https://doi.org/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. https://doi.org/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. https://doi.org/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. https://doi.org/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. https://doi.org/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. https://doi.org/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. https://doi.org/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. https://doi.org/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. https://doi.org/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. https://doi.org/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. https://doi.org/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. https://doi.org/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. https://doi.org/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. https://doi.org/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. https://doi.org/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. https://doi.org/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. https://doi.org/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. https://doi.org/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. https://doi.org/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. https://doi.org/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. https://doi.org/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., et al. (2023). Adversarial Training of Deep Neural Networks Guided by Texture and Structural Information. Proceedings of the 31st ACM International Conference on Multimedia, 4958-4967. New York, NY, USA: ACM. https://doi.org/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. https://doi.org/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 . https://doi.org/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. https://doi.org/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. https://doi.org/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 . https://doi.org/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. https://doi.org/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. https://doi.org/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. https://doi.org/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. https://doi.org/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., et al. (2023). Pareto-Wise Ranking Classifier for Multi-Objective Evolutionary Neural Architecture Search. IEEE Transactions on Evolutionary Computation, 1-1. https://doi.org/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 . https://doi.org/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. https://doi.org/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. https://doi.org/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., et al. (2023). Fedlabx: a practical and privacy-preserving framework for federated learning. Complex & Intelligent Systems. https://doi.org/10.1007/s40747-023-01184-3
    PUB | DOI | WoS
     
  • [383]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2981362
    Ma, L., Liu, Y., Yu, G., Wang, X., Mo, H., Wang, G. - G., Jin, Y., et al. (2023). Decomposition-Based Multiobjective Optimization for Variable-Length Mixed-Variable Pareto Optimization and Its Application in Cloud Service Allocation. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 1-14. https://doi.org/10.1109/TSMC.2023.3295371
    PUB | DOI | Download (ext.) | WoS
     
  • [382]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2981804
    Li, H., Ma, C., Zhang, C., Chen, Q., He, C., & Jin, Y. (2023). A Knowledge-Based Cooperative Co-Evolutionary Algorithm for Non-Contact Voltage Measurement. IEEE Transactions on Emerging Topics in Computational Intelligence, 1-14. https://doi.org/10.1109/TETCI.2023.3300526
    PUB | DOI | Download (ext.) | WoS
     
  • [381]
    2023 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2978326
    Qin, S., Sun, C., Liu, Q., & Jin, Y. (2023). A Performance Indicator Based Infill Criterion for Expensive Multi-/Many-objective Optimization. IEEE Transactions on Evolutionary Computation, 1-1. https://doi.org/10.1109/TEVC.2023.3237605
    PUB | DOI | Download (ext.) | WoS
     
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    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2982281
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    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978408
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    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978420
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    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978423
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    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978448
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    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978455
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    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978479
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    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978482
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    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978495
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    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978503
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    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978449
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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. https://doi.org/10.1109/TETCI.2018.2812897
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    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978438
    Wang, H., Jin, Y., & Doherty, J. (2018). A Generic Test Suite for Evolutionary Multifidelity Optimization. IEEE Transactions on Evolutionary Computation, 22(6), 836-850. https://doi.org/10.1109/TEVC.2017.2758360
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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. https://doi.org/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. https://doi.org/10.1109/TCDS.2018.2796940
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    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978441
    Tian, Y., Cheng, R., Zhang, X., Cheng, F., & Jin, Y. (2018). An Indicator-Based Multiobjective Evolutionary Algorithm With Reference Point Adaptation for Better Versatility. IEEE Transactions on Evolutionary Computation, 22(4), 609-622. https://doi.org/10.1109/TEVC.2017.2749619
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    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978442
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    2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978458
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    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978464
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    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978465
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    2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978466
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    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978489
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    2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978454
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    2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978456
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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: 2978471
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    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978472
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    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978499
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    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978473
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    2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978485
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    2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978490
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    2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978492
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    2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978502
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    2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978504
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    2016 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978508
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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. https://doi.org/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), 1022-1029. IEEE. https://doi.org/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. https://doi.org/10.1016/j.ins.2015.11.017
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    2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978517 OA
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    2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978518
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    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 (Ed.), Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion (pp. 1265-1266). New York, NY, USA: ACM. https://doi.org/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), 1015-1021. IEEE. https://doi.org/10.1109/CEC.2016.7743900
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    2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978521
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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), 3737-3744. IEEE. https://doi.org/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. https://doi.org/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. https://doi.org/10.1109/TEVC.2016.2555315
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    2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978526
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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. https://doi.org/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. https://doi.org/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. https://doi.org/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. https://doi.org/10.1016/j.ins.2014.08.039
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    2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978528
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    2015 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978529
    Cheng, R., Jin, Y., & Narukawa, K. (2015). Adaptive Reference Vector Generation for Inverse Model Based Evolutionary Multiobjective Optimization with Degenerate and Disconnected Pareto Fronts. In A. Gaspar-Cunha, C. Henggeler Antunes, & C. C. Coello (Eds.), Lecture Notes in Computer Science: Vol. 9018. Evolutionary Multi-Criterion Optimization. 8th International Conference, EMO 2015, Guimarães, Portugal, March 29 --April 1, 2015. Proceedings, Part I (pp. 127-140). Cham: Springer International Publishing. https://doi.org/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. https://doi.org/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. https://doi.org/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. https://doi.org/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. https://doi.org/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), 1380-1387. IEEE. https://doi.org/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), 939-946. IEEE. https://doi.org/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. https://doi.org/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. https://doi.org/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), 2412-2419. IEEE. https://doi.org/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. https://doi.org/10.1109/TEVC.2014.2378512
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    2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978548
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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), 9-15. IEEE. https://doi.org/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. In M. Mistry, A. Leonardis, M. Witkowski, & C. Melhuish (Eds.), Lecture Notes in Computer Science. Advances in Autonomous Robotics Systems (pp. 197-208). Cham: Springer International Publishing. https://doi.org/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. https://doi.org/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. https://doi.org/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), 3103-3110. IEEE. https://doi.org/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. https://doi.org/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. https://doi.org/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), 776-783. IEEE. https://doi.org/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), 1-7. IEEE. https://doi.org/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. In M. Mistry, A. Leonardis, M. Witkowski, & C. Melhuish (Eds.), Lecture Notes in Computer Science. Advances in Autonomous Robotics Systems (pp. 139-150). Cham: Springer International Publishing. https://doi.org/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), 2609-2616. IEEE. https://doi.org/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), 89-96. IEEE. https://doi.org/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. https://doi.org/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. https://doi.org/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), 640-646. IEEE. https://doi.org/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. In R. C. Purshouse, P. J. Fleming, C. M. Fonseca, S. Greco, & J. Shaw (Eds.), Lecture Notes in Computer Science. Evolutionary Multi-Criterion Optimization (pp. 573-586). Berlin, Heidelberg: Springer Berlin Heidelberg. https://doi.org/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. https://doi.org/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. https://doi.org/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. https://doi.org/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. https://doi.org/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 (Ed.), Proceedings of the 15th annual conference on Genetic and evolutionary computation (pp. 447-454). New York, NY, USA: ACM. https://doi.org/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. https://doi.org/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. https://doi.org/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. https://doi.org/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, 2879-2886. IEEE. https://doi.org/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. https://doi.org/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. In H. Yin, K. Tang, Y. Gao, F. Klawonn, M. Lee, T. Weise, B. Li, et al. (Eds.), Lecture Notes in Computer Science. Intelligent Data Engineering and Automated Learning – IDEAL 2013 (pp. 366-375). Berlin, Heidelberg: Springer Berlin Heidelberg. https://doi.org/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), 24-30. IEEE. https://doi.org/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), 9-16. IEEE. https://doi.org/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), 82-87. IEEE. https://doi.org/10.1109/UKCI.2013.6651291
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    2013 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978576
    Thomas, S. A., & Jin, Y. (2013). Single and Multi-objective in Silico Evolution of Tunable Genetic Oscillators. In R. C. Purshouse, P. J. Fleming, C. M. Fonseca, S. Greco, & J. Shaw (Eds.), Lecture Notes in Computer Science. Evolutionary Multi-Criterion Optimization (pp. 696-709). Berlin, Heidelberg: Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-37140-0_52
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    2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978574
    Sun, C., Zeng, J., Pan, J., & Jin, Y. (2013). Similarity-based evolution control for fitness estimation in particle swarm optimization. Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments (CIDUE), 1-8. IEEE. https://doi.org/10.1109/CIDUE.2013.6595765
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    2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978577
    Jin, Y. (2012). 2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (IEEE CIBCB 2012) [Conference Reports]. IEEE Computational Intelligence Magazine, 7(4), 17-17. https://doi.org/10.1109/MCI.2012.2215495
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    2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978578
    Yin, J., Meng, Y., & Jin, Y. (2012). A Developmental Approach to Structural Self-Organization in Reservoir Computing. IEEE Transactions on Autonomous Mental Development, 4(4), 273-289. https://doi.org/10.1109/TAMD.2012.2182765
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    2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978579
    Guo, H., Jin, Y., & Meng, Y. (2012). A morphogenetic framework for self-organized multirobot pattern formation and boundary coverage. ACM Transactions on Autonomous and Adaptive Systems, 7(1), 1-23. https://doi.org/10.1145/2168260.2168275
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    2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978580
    Le, M. N., Ong, Y. S., Jin, Y., & Sendhoff, B. (2012). A Unified Framework for Symbiosis of Evolutionary Mechanisms with Application to Water Clusters Potential Model Design. IEEE Computational Intelligence Magazine, 7(1), 20-35. https://doi.org/10.1109/MCI.2011.2176995
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    2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978581
    Bush, D., & Jin, Y. (2012). Calcium control of triphasic hippocampal STDP. Journal of Computational Neuroscience, 33(3), 495-514. https://doi.org/10.1007/s10827-012-0397-5
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    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), 28-34. IEEE. https://doi.org/10.1109/CIBCB.2012.6217207
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    2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978583
    Doncieux, S., Jin, Y., Mouret, J. - B., & Moore, J. H. (2012). Evo-devo-robo workshop program. In T. Soule (Ed.), Proceedings of the 14th annual conference companion on Genetic and evolutionary computation (pp. 355-356). New York, NY, USA: ACM. https://doi.org/10.1145/2330784.2330836
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    2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978584
    Schramm, L., Jin, Y., & Sendhoff, B. (2012). Evolution and Analysis of Genetic Networks for Stable Cellular Growth and Regeneration. Artificial Life, 18(4), 425-444. https://doi.org/10.1162/ARTL_a_00075
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    2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978585
    Albukhanajer, W. A., Jin, Y., Briffa, J. A., & Williams, G. (2012). Evolutionary multi-objective optimization of trace transform for invariant feature extraction. 2012 IEEE Congress on Evolutionary Computation, 1-8. IEEE. https://doi.org/10.1109/CEC.2012.6256160
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    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), 1-8. IEEE. https://doi.org/10.1109/UKCI.2012.6335751
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    2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978587
    Schramm, L., Jin, Y., & Sendhoff, B. (2012). Quantitative analysis of redundancy in evolution of developmental systems. 2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), 61-68. IEEE. https://doi.org/10.1109/CIBCB.2012.6217212
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    2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978588
    Chrol-Cannon, J., Gruning, A., & Jin, Y. (2012). The emergence of polychronous groups under varying input patterns, plasticity rules and network connectivities. The 2012 International Joint Conference on Neural Networks (IJCNN), 1-6. IEEE. https://doi.org/10.1109/IJCNN.2012.6252828
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    2011 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978589
    Meng, Y., Guo, H., & Jin, Y. (2011). A Multi-cellular Based Self-organizing Approach for Distributed Multi-Robot Systems. In S. Doncieux, N. Bredèche, & J. - B. Mouret (Eds.), Studies in Computational Intelligence. New Horizons in Evolutionary Robotics (pp. 123-137). Berlin, Heidelberg: Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-18272-3_9
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    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. https://doi.org/10.1109/MCI.2010.939579
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    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, 267-272. IEEE. https://doi.org/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. In G. Kampis, I. Karsai, & E. Szathmáry (Eds.), Lecture Notes in Computer Science. Advances in Artificial Life. Darwin Meets von Neumann (pp. 27-34). Berlin, Heidelberg: Springer Berlin Heidelberg. https://doi.org/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. https://doi.org/10.1109/TAMD.2011.2172729
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  • [66]
    2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978593
    Jin, Y., & Meng, Y. (2011). Emergence of robust regulatory motifs from in silico evolution of sustained oscillation. Biosystems, 103(1), 38-44. https://doi.org/10.1016/j.biosystems.2010.09.009
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    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. https://doi.org/10.1109/TEVC.2011.2153090
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    2011 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978596
    Jin, Y., & Meng, Y. (2011). Morphogenetic Robotics - An Evolutionary Developmental Approach to Morphological and Neural Self-Organization of Robotic Systems. In Y. Meng & Y. Jin (Eds.), Studies in Computational Intelligence. Bio-Inspired Self-Organizing Robotic Systems (pp. 3-23). Berlin, Heidelberg: Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-20760-0_1
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    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. https://doi.org/10.1109/TSMCC.2010.2057424
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    2011 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978598
    Meng, Y., & Jin, Y. (2011). Morphogenetic Self-Reconfiguration of Modular Robots. In Y. Meng & Y. Jin (Eds.), Studies in Computational Intelligence. Bio-Inspired Self-Organizing Robotic Systems (pp. 143-171). Berlin, Heidelberg: Springer Berlin Heidelberg. https://doi.org/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. https://doi.org/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. https://doi.org/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), 203-210. IEEE. https://doi.org/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. https://doi.org/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. https://doi.org/10.1016/j.swevo.2011.05.001
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  • [56]
    2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978604
    Guo, H., Meng, Y., & Jin, Y. (2011). Swarm robot pattern formation using a morphogenetic multi-cellular based self-organizing algorithm. 2011 IEEE International Conference on Robotics and Automation, 3205-3210. IEEE. https://doi.org/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. In G. Kampis, I. Karsai, & E. Szathmáry (Eds.), Lecture Notes in Computer Science. Advances in Artificial Life. Darwin Meets von Neumann (pp. 18-26). Berlin, Heidelberg: Springer Berlin Heidelberg. https://doi.org/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, 1-8. IEEE. https://doi.org/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), 1-6. IEEE. https://doi.org/10.1109/UKCI.2010.5625575
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  • [52]
    2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978608
    Guo, H., Meng, Y., & Jin, Y. (2010). Analysis of local communication load in shape formation of a distributed morphogenetic swarm robotic system. IEEE Congress on Evolutionary Computation, 1-8. IEEE. https://doi.org/10.1109/CEC.2010.5586310
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    2010 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978609
    Jones, B., Jin, Y., Sendhoff, B., & Yao, X. (2010). Emergent Distribution of Computational Workload in the Evolution of an Undulatory Animat. In S. Doncieux, B. Girard, A. Guillot, J. Hallam, J. - A. Meyer, & J. - B. Mouret (Eds.), Lecture Notes in Computer Science. From Animals to Animats 11 (pp. 587-596). Berlin, Heidelberg: Springer Berlin Heidelberg. https://doi.org/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, 571-578. New York, NY, USA: ACM. https://doi.org/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), 1-8. IEEE. https://doi.org/10.1109/IJCNN.2010.5596497
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    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. https://doi.org/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), 1-6. IEEE. https://doi.org/10.1109/IJCNN.2010.5596340
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    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, 1-8. IEEE. https://doi.org/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, 1-6. IEEE. https://doi.org/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. https://doi.org/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. In M. Köppen, N. Kasabov, & G. Coghill (Eds.), Lecture Notes in Computer Science. Advances in Neuro-Information Processing. 15th International Conference, ICONIP 2008, Auckland, New Zealand, November 25-28, 2008, Revised Selected Papers, Part I (pp. 48-55). Berlin, Heidelberg: Springer Berlin Heidelberg. https://doi.org/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. https://doi.org/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. In C. - K. Goh, Y. - S. Ong, & K. C. Tan (Eds.), Studies in Computational Intelligence. Multi-Objective Memetic Algorithms (pp. 281-307). Berlin, Heidelberg: Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-540-88051-6_13
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    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. https://doi.org/10.1109/TSMCC.2009.2018893
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    2009 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978623
    Jones, B., Jin, Y., Yao, X., & Sendhoff, B. (2009). Evolution of Neural Organization in a Hydra-Like Animat. In M. Köppen, N. Kasabov, & G. Coghill (Eds.), Lecture Notes in Computer Science. Advances in Neuro-Information Processing. 15th International Conference, ICONIP 2008, Auckland, New Zealand, November 25-28, 2008, Revised Selected Papers, Part I (pp. 216-223). Berlin, Heidelberg: Springer Berlin Heidelberg. https://doi.org/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, 38-45. IEEE. https://doi.org/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. https://doi.org/10.1016/S0303-2647(09)00181-6
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    2009 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978626
    Jin, Y., & Sendhoff, B. (2009). Fuzzy Logic in Evolving in silico Oscillatory Dynamics for Gene Regulatory Networks. In Y. Jin & L. Wang (Eds.), Studies in Fuzziness and Soft Computing. Fuzzy Systems in Bioinformatics and Computational Biology (pp. 315-327). Berlin, Heidelberg: Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-540-89968-6_16
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    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, 2225-2232. IEEE. https://doi.org/10.1109/CEC.2009.4983217
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    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, 61-68. IEEE. https://doi.org/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. https://doi.org/10.1007/s12293-009-0016-9
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  • [32]
    2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978630
    Meeter, M., Veldkamp, R., & Jin, Y. (2009). Multiple memory stores and operant conditioning: A rationale for memory’s complexity. Brain and Cognition, 69(1), 200-208. https://doi.org/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. https://doi.org/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, 154-164. IEEE. https://doi.org/10.1109/SASO.2009.19
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    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, 53-60. IEEE. https://doi.org/10.1109/ALIFE.2009.4937694
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    2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978634 OA
    Steiner, T., Jin, Y., & Sendhoff, B. (2009). Vector Field Embryogeny. PLoS ONE, 4(12), e8177. https://doi.org/10.1371/journal.pone.0008177
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    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), 1447-1454. IEEE. https://doi.org/10.1109/CEC.2008.4630984
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    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. https://doi.org/10.1109/TEVC.2008.923818
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    2008 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978638
    Lim, D., Ong, Y. - S., Jin, Y., & Sendhoff, B. (2008). Evolutionary Optimization with Dynamic Fidelity Computational Models. In D. - S. Huang, D. C. Wunsch, D. S. Levine, & K. - H. Jo (Eds.), Lecture Notes in Computer Science. 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 (pp. 235-242). Berlin, Heidelberg: Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-540-85984-0_29
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    2008 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978639
    Jin, Y., Sendhoff, B., & Körner, E. (2008). Rule Extraction from Compact Pareto-optimal Neural Networks. In A. Ghosh, S. Dehuri, & S. Ghosh (Eds.), Studies in Computational Intelligence. Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases (pp. 71-90). Berlin, Heidelberg: Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-540-77467-9_4
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    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, 1288-1295. New York, NY, USA: ACM. https://doi.org/10.1145/1276958.1277203
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    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. https://doi.org/10.1016/j.future.2006.10.008
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    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, 867-874. IEEE. https://doi.org/10.1109/CEC.2007.4424561
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    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, 617-623. New York, NY, USA: ACM. https://doi.org/10.1145/1276958.1277082
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    2007 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978644
    Gräning, L., Jin, Y., & Sendhoff, B. (2007). Individual-based Management of Meta-models for Evolutionary Optimization with Application to Three-Dimensional Blade Optimization. In S. Yang, Y. - S. Ong, & Y. Jin (Eds.), Studies in Computational Intelligence. Evolutionary Computation in Dynamic and Uncertain Environments (pp. 225-250). Berlin, Heidelberg: Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-540-49774-5_10
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    2007 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978645
    Lim, D., Ong, Y. - S., Lim, M. - H., & Jin, Y. (2007). Single/Multi-objective Inverse Robust Evolutionary Design Methodology in the Presence of Uncertainty. In S. Yang, Y. - S. Ong, & Y. Jin (Eds.), Studies in Computational Intelligence. Evolutionary Computation in Dynamic and Uncertain Environments (pp. 437-456). Berlin, Heidelberg: Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-540-49774-5_19
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    2006 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978646
    Wang, H., Kwong, S., Jin, Y., & Tsang , C. - H. (2006). Agent Based Multi-Objective Approach to Generating Interpretable Fuzzy Systems. In Y. Jin (Ed.), Studies in Computational Intelligence. Multi-Objective Machine Learning (pp. 339-364). Berlin/Heidelberg: Springer-Verlag. https://doi.org/10.1007/11399346_15
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    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. https://doi.org/10.1007/s10710-006-9016-4
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    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. https://doi.org/10.1109/TEVC.2005.859466
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    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. https://doi.org/10.1007/s10710-006-9013-7
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    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. https://doi.org/10.1016/j.ijheatmasstransfer.2005.08.032
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    2006 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2978651
    Jin, Y., Sendhoff, B., & Körner, E. (2006). Simultaneous Generation of Accurate and Interpretable Neural Network Classifiers. In Y. Jin (Ed.), Studies in Computational Intelligence. Multi-Objective Machine Learning (pp. 289-312). Berlin/Heidelberg: Springer-Verlag. https://doi.org/10.1007/11399346_13
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    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. https://doi.org/10.1109/TSMCC.2004.841910
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    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. https://doi.org/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. https://doi.org/10.1109/TSMCC.2004.842035
    PUB | DOI | Download (ext.)
     
  • [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. https://doi.org/10.1016/j.fss.2004.07.013
    PUB | DOI | Download (ext.)
     
  • [7]
    2004 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978656
    Jin, Y., & Sendhoff, B. (2004). Reducing Fitness Evaluations Using Clustering Techniques and Neural Network Ensembles. In K. Deb (Ed.), Lecture Notes in Computer Science: Vol. 3102. Genetic and Evolutionary Computation – GECCO 2004. Genetic and Evolutionary Computation Conference, Seattle, WA, USA, June 26-30, 2004. Proceedings, Part I (pp. 688-699). Berlin, Heidelberg: Springer. https://doi.org/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. In E. Cantú-Paz, J. A. Foster, K. Deb, L. D. Davis, R. Roy, U. - M. O’Reilly, H. - G. Beyer, et al. (Eds.), Lecture Notes in Computer Science. Genetic and Evolutionary Computation — GECCO 2003 (pp. 636-637). Berlin, Heidelberg: Springer Berlin Heidelberg. https://doi.org/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. In C. M. Fonseca, P. J. Fleming, E. Zitzler, L. Thiele, & K. Deb (Eds.), Lecture Notes in Computer Science. Evolutionary Multi-Criterion Optimization (pp. 237-251). Berlin, Heidelberg: Springer Berlin Heidelberg. https://doi.org/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. https://doi.org/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. https://doi.org/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. https://doi.org/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. https://doi.org/10.1109/21.384264
    PUB | DOI | Download (ext.)
     
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