Evolutionary Transfer Optimization

Last Update: 2023-06-05

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:

  • 05/05/2022
    CEC2022 Competition on Evolutionary Multi-task Optimization, IEEE World Congress on Computational Intelligence 2022.18-23 July 2022, Padova, Italy. [website]

  • 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


    • Y. Huang, L. Feng, M. Li, Y. Wang, Z. Zhu and K. C. Tan, "Fast Vehicle Routing via Knowledge Transfer in a Reproducing Kernel Hilbert Space," in IEEE Transactions on Systems, Man, and Cybernetics: Systems, doi: 10.1109/TSMC.2023.3270308.

    • Y. Jiang, Z. -H. Zhan, K. C. Tan and J. Zhang, "Knowledge Learning for Evolutionary Computation," in IEEE Transactions on Evolutionary Computation, doi: 10.1109/TEVC.2023.3278132.

    • Y. Jiang, Z. -H. Zhan, K. C. Tan and J. Zhang, "Block-Level Knowledge Transfer for Evolutionary Multitask Optimization," in IEEE Transactions on Cybernetics, doi: 10.1109/TCYB.2023.3273625.

    • L. Feng, A. Gupta, K. C. Tan, et al, "Evolutionary Multi-Task Optimization: Foundations and Methodologies." (2023).

    • W. Lin, Q. Lin, L. Feng and K. C. Tan, "Ensemble of Domain Adaptation-Based Knowledge Transfer for Evolutionary Multitasking," in IEEE Transactions on Evolutionary Computation, doi: 10.1109/TEVC.2023.3259067.

    • S. -H. Wu, Z. -H. Zhan, K. C. Tan and J. Zhang, "Transferable Adaptive Differential Evolution for Many-Task Optimization," in IEEE Transactions on Cybernetics, doi: 10.1109/TCYB.2023.3234969.

    • J. Li et al., "Knowledge transfer for Object Detection with Evolution architecture search," 2022 4th International Conference on Data-driven Optimization of Complex Systems (DOCS), Chengdu, China, 2022, pp. 1-6, doi: 10.1109/DOCS55193.2022.9967711.

    • L. Cao, M. Jiang, L. Feng, Q. Lin, R. Pan and K. Chen Tan, "Hybrid Estimation of Distribution Based on Knowledge Transfer for Flexible Job-shop Scheduling Problem," 2022 4th International Conference on Data-driven Optimization of Complex Systems (DOCS), Chengdu, China, 2022, pp. 1-6, doi: 10.1109/DOCS55193.2022.9967485.

    • Y. Wu et al., "Evolutionary Multiform Optimization with Two-stage Bidirectional Knowledge Transfer Strategy for Point Cloud Registration," in IEEE Transactions on Evolutionary Computation, 2022, doi: 10.1109/TEVC.2022.3215743.

    • Y. Jiang, Z. -H. Zhan, K. C. Tan and J. Zhang, "A Bi-objective Knowledge Transfer Framework for Evolutionary Many-Task Optimization," in IEEE Transactions on Evolutionary Computation, 2022, doi: 10.1109/TEVC.2022.3210783.

    • S. Liu, Q. Lin, L. Feng, K. -C. Wong and K. C. Tan, "Evolutionary Multitasking for Large-Scale Multiobjective Optimization," in IEEE Transactions on Evolutionary Computation, doi: 10.1109/TEVC.2022.3166482.

    • L. Feng, Q. Shang, Y. Hou, K. C. Tan and Y. -S. Ong, "Multispace Evolutionary Search for Large-Scale Optimization With Applications to Recommender Systems," in IEEE Transactions on Artificial Intelligence, vol. 4, no. 1, pp. 107-120, Feb. 2023, doi: 10.1109/TAI.2022.3156952.

    • H. Chen, H. -L. Liu, F. Gu and K. C. Tan, "A Multiobjective Multitask Optimization Algorithm Using Transfer Rank," in IEEE Transactions on Evolutionary Computation, vol. 27, no. 2, pp. 237-250, April 2023, doi: 10.1109/TEVC.2022.3147568.

    • J. -Y. Li, Z. -H. Zhan, K. C. Tan and J. Zhang, "A Meta-Knowledge Transfer-Based Differential Evolution for Multitask Optimization," in IEEE Transactions on Evolutionary Computation, vol. 26, no. 4, pp. 719-734, Aug. 2022, doi: 10.1109/TEVC.2021.3131236.

    • H. Chen, H. -L. Liu, F. Gu and K. C. Tan, "A Multiobjective Multitask Optimization Algorithm Using Transfer Rank," in IEEE Transactions on Evolutionary Computation, vol. 27, no. 2, pp. 237-250, April 2023, doi: 10.1109/TEVC.2022.3147568.

    • J. Wu, H. Yang, Y. Zeng, Z. Wu, J. Liu and L. Feng, "A twin learning framework for traveling salesman problem based on autoencoder, graph filter, and transfer learning," in IEEE Transactions on Consumer Electronics, doi: 10.1109/TCE.2023.3269071.

    • Shang, Q., Huang, Y., Dong, J. et al. Multi-space evolutionary search with dynamic resource allocation strategy for large-scale optimization. Neural Comput & Applic 34, 7673–7689 (2022). https://doi.org/10.1007/s00521-021-06844-4

    • Shang, Q., Huang, Y., Wang, Y. et al. Solving vehicle routing problem by memetic search with evolutionary multitasking. Memetic Comp. 14, 31–44 (2022). https://doi.org/10.1007/s12293-021-00352-7

    • D. Wang, K. Liu, L. Feng, P. Dai, W. Wu and S. Guo, "Evolutionary Multitasking for Cross-domain Task Optimization via Vehicular Edge Computing," 2021 IEEE Global Communications Conference (GLOBECOM), Madrid, Spain, 2021, pp. 1-6, doi: 10.1109/GLOBECOM46510.2021.9685894.

    • Lim, R., Gupta, A., Ong, YS. et al. Non-linear Domain Adaptation in Transfer Evolutionary Optimization. Cogn Comput 13, 290–307 (2021).https://doi.org/10.1007/s12559-020-09777-7

    • L. Zhou, L. Feng, A. Gupta and Y. -S. Ong, "Learnable Evolutionary Search Across Heterogeneous Problems via Kernelized Autoencoding," in IEEE Transactions on Evolutionary Computation, vol. 25, no. 3, pp. 567-581, June 2021, doi: 10.1109/TEVC.2021.3056514.

    • H. Wang, L. Feng, Y. Jin and J. Doherty, "Surrogate-Assisted Evolutionary Multitasking for Expensive Minimax Optimization in Multiple Scenarios," in IEEE Computational Intelligence Magazine, vol. 16, no. 1, pp. 34-48, Feb. 2021, doi: 10.1109/MCI.2020.3039067.

    • Huang Y, Feng L, Qin A K, et al. Towards Large-Scale Evolutionary Multi-Tasking: A GPU-Based Paradigm[J]. IEEE Transactions on Evolutionary Computation , 2021. [pdf]   [source code]

    • 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


    • W. Zhou et al., "Dynamic Multi-Objective Optimization Framework With Interactive Evolution for Sequential Recommendation," in IEEE Transactions on Emerging Topics in Computational Intelligence, doi: 10.1109/TETCI.2023.3251352.

    • H. Bai, R. Cheng, D. Yazdani, K. C. Tan and Y. Jin, "Evolutionary Large-Scale Dynamic Optimization Using Bilevel Variable Grouping," in IEEE Transactions on Cybernetics, doi: 10.1109/TCYB.2022.3164143.

    • W. Zhou, L. Feng, K. C. Tan, M. Jiang and Y. Liu, "Evolutionary Search With Multiview Prediction for Dynamic Multiobjective Optimization," in IEEE Transactions on Evolutionary Computation, vol. 26, no. 5, pp. 911-925, Oct. 2022, doi: 10.1109/TEVC.2021.3135020.

    • 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


    • X. Zhang, R. Cheng, L. Feng and Y. Jin, "Machine Learning Assisted Evolutionary Multi-Objective Optimization [Guest Editorial]," in IEEE Computational Intelligence Magazine, vol. 18, no. 2, pp. 16-17, May 2023, doi: 10.1109/MCI.2023.3248919.

    • K. Qiao et al., "Dynamic Auxiliary Task-Based Evolutionary Multitasking for Constrained Multiobjective Optimization," in IEEE Transactions on Evolutionary Computation, vol. 27, no. 3, pp. 642-656, June 2023, doi: 10.1109/TEVC.2022.3175065.

    • C. He, R. Cheng, L. Li, K. C. Tan and Y. Jin, "Large-scale Multiobjective Optimization via Reformulated Decision Variable Analysis," in IEEE Transactions on Evolutionary Computation, 2022, doi: 10.1109/TEVC.2022.3213006.

    • Y. Su, Q. Lin, Z. Ming and K. C. Tan, "Adapting Decomposed Directions for Evolutionary Multiobjective Optimization," in IEEE Transactions on Cybernetics, doi: 10.1109/TCYB.2022.3165557.

    • Y. Feng, L. Feng, S. Kwong and K. C. Tan, "A Multivariation Multifactorial Evolutionary Algorithm for Large-Scale Multiobjective Optimization," in IEEE Transactions on Evolutionary Computation, vol. 26, no. 2, pp. 248-262, April 2022, doi: 10.1109/TEVC.2021.3119933.

    • Y. Guo, G. Chen, M. Jiang, D. Gong and J. Liang, "A Knowledge guided Transfer Strategy for Evolutionary Dynamic Multiobjective Optimization," in IEEE Transactions on Evolutionary Computation, 2022, doi: 10.1109/TEVC.2022.3222844.

    • J. Li, T. Sun, Q. Lin, M. Jiang and K. C. Tan, "Reducing Negative Transfer Learning via Clustering for Dynamic Multiobjective Optimization," in IEEE Transactions on Evolutionary Computation, vol. 26, no. 5, pp. 1102-1116, Oct. 2022, doi: 10.1109/TEVC.2022.3144180.

    • 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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