Recent publications
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. 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.
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.
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.
Yanchi Li, Wenyin Gong, Shuijia Li, Multitasking optimization via an adaptive solver multitasking evolutionary framework, Information Sciences , Volume 630, 2023, Pages 688-712, ISSN 0020-0255.
X. Wang, Z. Dong, L. Tang and Q. Zhang, "Multiobjective Multitask Optimization-Neighborhood as a Bridge for Knowledge Transfer," in IEEE Transactions on Evolutionary Computation , vol. 27, no. 1, pp. 155-169, Feb. 2023, doi: 10.1109/TEVC.2022.3154416.
K. Qiao et al., "A Self-Adaptive Evolutionary Multi-Task Based Constrained Multi-Objective Evolutionary Algorithm," in IEEE Transactions on Emerging Topics in Computational Intelligence, doi: 10.1109/TETCI.2023.3236633.
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.
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. 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.
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.
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.
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.
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.
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.
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.
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.
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).
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).
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.
X. Wang, Q. Kang, M. Zhou, S. Yao and A. Abusorrah, "Domain Adaptation Multitask Optimization," in IEEE Transactions on Cybernetics, doi: 10.1109/TCYB.2022.3222101.
Gupta, L. Zhou,Y. S. Ong, Z. Chen and Y. Hou. "Half a Dozen Real-World Applications of Evolutionary Multitasking, and More". IEEE Computational Intelligence Magazine ,
In Press, 2022.
Q. Shang, Y. Huang, Y. Wang, et al. "Solving vehicle routing problem by memetic search with evolutionary multitasking". Memetic Comp ,
2022.
K. Qiao, K. Yu, B. Qu, et al, "An Evolutionary Multitasking Optimization Framework for Constrained Multiobjective Optimization Problems". IEEE Transactions on Evolutionary Computation ,
2022.
K. Qiao, K. Yu, B. Qu, et al, "Dynamic Auxiliary Task-Based Evolutionary Multitasking for Constrained Multi-objective Optimization". IEEE Transactions on Evolutionary Computation ,
2022.
Z. Liang, Y. Zhu, X. Wang, et al, "Evolutionary Multitasking for Multi-objective Optimization Based on Generative Strategies". IEEE Transactions on Evolutionary Computation ,
2022.
C. Lyu, Y. Shi, L. Sun, et al, "Community detection in multiplex networks based on evolutionary multi-task optimization and evolutionary clustering ensemble". IEEE Transactions on Evolutionary Computation ,
2022.
Osaba E, Del Ser J, Martinez A D, et al. "Evolutionary Multitask Optimization: a Methodological Overview, Challenges, and Future Research Directions". Cognitive Computatio ,
2022.
H. Xu, A. K. Qin, S. Xia, "Evolutionary Multitask Optimization With Adaptive Knowledge Transfer". IEEE Transactions on Evolutionary Computation ,
2021.
J. Li, H. Li, Y. Liu, et al, "Multi-fidelity evolutionary multitasking optimization for hyperspectral endmember extraction". Applied Soft Computing ,
2021.
T. Wei, J. Zhong, "Towards Generalized Resource Allocation on Evolutionary Multitasking for Multi-Objective Optimization". IEEE Computational Intelligence Magazine ,
2021.
T. Wei, S. Wang, J. Zhong, et al, "A review on evolutionary multi-task optimization: Trends and challenges". IEEE Transactions on Evolutionary Computation ,
2021.
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.
Wu, K., Wang, C., & Liu, J. “Evolutionary multitasking multilayer network reconstruction”. IEEE Transactions on Cybernetics , 2021.
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.
Wang, H., Feng, L., Jin, Y., & Doherty, J. “Surrogate-Assisted Evolutionary Multitasking for Expensive Minimax Optimization in Multiple Scenarios”. IEEE Computational Intelligence Magazine , 2021.
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.
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.