Evolutionary Transfer Optimization

Last Update: 2021-01-19

Introduction


A paradigm that integrates EA solvers with knowledge learning and transfer across related domains for better optimization performance.
  • K. C. Tan, L. Feng and M. Jiang, "Evolutionary Transfer Optimization - A New Frontier in Evolutionary Computation Research", in IEEE Computational Intelligence Magazine, vol. 16, no. 1, pp. 22-33, Feb. 2021. doi: 10.1109/MCI.2020.3039066    [pdf]   
  • News:

  • 01/19/2021
    CEC2021 Competition on Evolutionary Multi-task Optimization, IEEE Congress on Evolutionary Computation 28.06-1.07.2021 Kraków, Poland. [website]

  • 01/19/2021
    CEC'2021 Competition on Evolutionary Transfer Multiobjective Optimization, IEEE Congress on Evolutionary Computation 28.06-1.07.2021 Kraków, Poland[website]
  • Evolutionary Transfer Multi-task Optimization


    • Zhang, F., Mei, Y., Nguyen, S., Zhang, M., & Tan, K. C. “Surrogate-assisted evolutionary multitask genetic programming for dynamic flexible job shop scheduling”. IEEE Transactions on Evolutionary Computation , 2021. [pdf]

    • Wu, K., Wang, C., & Liu, J. “Evolutionary multitasking multilayer network reconstruction”. IEEE Transactions on Cybernetics , 2021.[pdf]

    • Chen, K., Xue, B., Zhang, M., & Zhou, F. “Evolutionary Multitasking for Feature Selection in High-dimensional Classification via Particle Swarm Optimisation”. IEEE Transactions on Evolutionary Computation , 2021. [pdf]

    • Liang, Z., Liang, W., Wang, Z., Ma, X., Liu, L., & Zhu, Z. “Multiobjective Evolutionary Multitasking With Two-Stage Adaptive Knowledge Transfer Based on Population Distribution”. IEEE Transactions on Systems, Man, and Cybernetics: Systems , 2021. [pdf]

    • Bai, L., Lin, W., Gupta, A., & Ong, Y. S. “From Multitask Gradient Descent to Gradient-Free Evolutionary Multitasking: A Proof of Faster Convergence”. IEEE Transactions on Cybernetics , 2021.[pdf]

    • Chen, K., Xue, B., Zhang, M., & Zhou, F. “Evolutionary Multitasking for Feature Selection in High-dimensional Classification via Particle Swarm Optimisation”. IEEE Transactions on Evolutionary Computation , 2021. [pdf]

    • Xue, X., Zhang, K., Tan, K. C., Feng, L., Wang, J., Chen, G., ... & Yao, J. “Affine transformation-enhanced multifactorial optimization for heterogeneous problems”. IEEE Transactions on Cybernetics , 2020. [pdf]

    • Xue, X., Zhang, K., Tan, K. C., Feng, L., Wang, J., Chen, G., ... & Yao, J. “Affine transformation-enhanced multifactorial optimization for heterogeneous problems”. IEEE Transactions on Cybernetics , 2020. [pdf]

    • Zedong Tang, Maoguo Gong, Yue Wu, A. K. Qin, and Kay Chen Tan, “A Multifactorial Optimization Framework Based on Adaptive Inter-Task Coordinate System”, IEEE Transactions on Cybernetics, accepted, 2020. [pdf]

    • Xiaoming Xue, Kai Zhang, Kay Chen Tan, Liang Feng, Jian Wang, Guodong Chen, Xinggang Zhao, Liming Zhang, and Jun Yao, “Affine Transformation Enhanced Multifactorial Optimization for Heterogeneous Problems”, IEEE Transactions on Cybernetics, accepted, 2020. [pdf]

    • L. Zhou, L. Feng, K. C. Tan, J. Zhong, Z. Zhu, K. Liu, and C. Chen, "Towards Adaptive Knowledge Transfer in Multifactorial Evolutionary Computation", IEEE Trans. on Cybernetics, in press, 2020.    [pdf]    [source code]

    • J. Lin, HL. Liu, K. C. Tan, and F. Gu, "An Effective Knowledge Transfer Approach for Multiobjective Multitasking Optimization", IEEE Trans. on Cybernetics, in press, 2020.    [pdf]    [source code]

    • L. Feng, Y. Huang, L. Zhou, J. Zhong, A. Gupta, K. Tang, and K. C. Tan, "Explicit Evolutionary Multitasking for Combinatorial Optimization: A Case Study on Capacitated Vehicle Routing Problem", IEEE Trans. on Cybernetics, in press, 2020.    [pdf]    [source code]

    • L. Feng, L. Zhou, A. Gupta, J. Zhong, Z. Zhu, K. C. Tan, and K. Qin, "Solving Generalized Vehicle Routing Problem With Occasional Drivers via Evolutionary Multitasking", IEEE Trans. on Cybernetics, in press, 2019.    [pdf]    [source code]

    • L. Feng, L. Zhou, J. Zhong, A. Gupta, Y. Ong, K. C. Tan, and A. Qin, “Evolutionary Multitasking via Explicit Autoencoding”, IEEE Trans. on Cybernetics, 49(9), pp. 3457-3470, 2018.    [pdf]    [source code]

    • A. Gupta, Y. Ong, L. Feng, and K. C. Tan, "Multiobjective Multifactorial Optimization in Evolutionary Multitasking", IEEE Trans. on Cybernetics, 47(7), pp. 1652-1665, 2016.    [pdf]    [source code]

    Evolutionary Transfer Dynamic Optimization


    • Min Jiang, Zhenzhong Wang, Liming Qiu, Shihui Guo, Xing Gao, Kay Chen Tan, “A Fast Dynamic Evolutionary Multi-objective Algorithm via Manifold Transfer Learning”, IEEE Transactions on Cybernetics, DOI: 10.1109/TCYB.2020.2989465, accepted, 2020.

    • M. Jiang, Z. Wang, L. Qiu, S. Guo, X. Gao, and K. C. Tan, "A Fast Dynamic Evolutionary Multiobjective Algorithm via Manifold Transfer Learning", IEEE Trans. on Cybernetics, in press, 2020.    [pdf]    [source code]

    • L. Feng, W. Zhou, W. Liu, Y. Ong, and K. C. Tan, “Solving Dynamic Multi-objective Problem via Autoencoding Evolutionary Search”, IEEE Trans. on Cybernetics, in press, 2020.    [pdf]    [source code]

    • M. Jiang, Z. Wang, S. Guo, X. Gao, and K. C. Tan, “Individual-based Transfer Learning for Dynamic Multi-objective Optimization”, IEEE Trans. on Cybernetics, in press.    [pdf]    [source code]

    • M. Jiang, Z. Wang, H. Hong and G. G. Yen, “Knee Point Based Imbalanced Transfer Learning for Dynamic Multi-objective Optimization”, IEEE Trans. on Evolutionary Computation, in press.    [pdf]    [source code]

    • M. Jiang, Z. Huang, L. Qiu, W. Huang and G. G. Yen, “Transfer Learning-Based Dynamic Multiobjective Optimization Algorithms”, IEEE Trans. on Evolutionary Computation, in press.    [pdf]    [source code]

    Evolutionary Transfer Multi-objective Optimization


    • L. Zhou, L. Feng, A. Gupta and Y. -S. Ong, "Learnable Evolutionary Search across Heterogeneous Problems via Kernelized Autoencoding," IEEE Transactions on Evolutionary Computation, 2021.    [pdf]    [source code]

    • Liang, Zhengping, Hao Dong, Cheng Liu, Weiqi Liang, and Zexuan Zhu. "Evolutionary Multitasking for Multiobjective Optimization With Subspace Alignment and Adaptive Differential Evolution." IEEE Transactions on Cybernetics, 2020.    [pdf]   

    • Lin, Jiabin, Hai-Lin Liu, Kay Chen Tan, and Fangqing Gu. "An Effective Knowledge Transfer Approach for Multiobjective Multitasking Optimization." IEEE Transactions on Cybernetics, 2020.    [pdf]   

    • Yao, Shuangshuang, Zhiming Dong, Xianpeng Wang, and Lei Ren. "A Multiobjective multifactorial optimization algorithm based on decomposition and dynamic resource allocation strategy." Information Sciences, 2020.    [pdf]   

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