郑州大学计算智能实验室
Computational Intelligence Laboratory
研究方向：约束多目标
‖ In Press
K. J. Qiao, J. Liang*, K. J. Yu, C. T. Yue. H. Y. Lin, D. Z. Zhang, B. Y. Qu. Evolutionary constrained multiobjective optimization: scalable high-dimensional constraint benchmarks and algorithm[J]. IEEE Transactions on Evolutionary Computation, 2023, Doi: 10.1109/TEVC.2023.3281666. (paper)(code)
K. J. Qiao, K. J. Yu, B. Y. Qu, J. Liang*, C. T. Yue. X. X. Ban. Feature extraction for recommendation of constrained multi-objective evolutionary algorithms [J]. IEEE Transactions on Evolutionary Computation, 2023, Doi: 10.1109/TEVC.2022.3186667. (paper)
J. Liang, Z. L. Chen, Y. N. Wang, X. X. Ban*, K. J. Qiao, K. J. Yu. A dual-population constrained multi-objective evolutionary algorithm with variable auxiliary population size[J]. Complex & Intelligent Systems, 2023, Doi: 10.1007/s40747-023-01042-2. (paper)
‖ Published Papers
J. Liang, X. X. Ban, K. J. Yu*, B. Y. Qu, K. J. Qiao, C. T. Yue, K. Chen, K. C. Tan. A survey on evolutionary constrained multi-objective optimization [J]. IEEE Transactions on Evolutionary Computation, 2023, 27(2): 201 - 221. (paper)
J. Liang, K. J. Qiao, K. J. Yu*, B. Y. Qu, C. T. Yue, W. F. Guo, L. Wang. Utilizing the relationship between unconstrained and constrained Pareto fronts for constrained multi-objective optimization [J]. IEEE Transactions on Cybernetics, 2023, 53(6): 3873-3886. (paper)(code)
K. J. Qiao, J. Liang*, Z. Y. Liu, K. J. Yu, C. T. Yue. B. Y. Qu. Evolutionary multitasking with global and local auxiliary tasks for constrained multi-objective optimization[J]. IEEE/CAA Journal of Automatica Sinica, 2023, vol. 10, no. 10, pp. 1-14. (paper)(code)
K. J. Qiao, K. J. Yu, B. Y. Qu, J. Liang*, H. Song, C. T. Yue, H. Y. Lin, K. C. Tan. Dynamic auxiliary task-based evolutionary multitasking for constrained multi-objective optimization [J]. IEEE Transactions on Evolutionary Computation, 2023, 27(3): 642 - 656. (paper)(code)(CATF fcuntion code)
K. J. Qiao, J. Liang*, K. J. Yu, M. H. Wang, B. Y. Qu, C. T. Yue, Y. N. Guo. A self-adaptive evolutionary multi-task based constrained multi-objective evolutionary algorithm [J]. IEEE Transactions on Emerging Topics in Computational Intelligence, 2023, vol. 7, no. 4, pp. 1098-1112. (paper)(code)
K. J. Qiao, K. J. Yu, B. Y. Qu, J. Liang*, H. Song, C. T. Yue. An evolutionary multitasking optimization framework for constrained multi-objective optimization problems [J]. IEEE Transactions on Evolutionary Computation, 2022, 26(2): 263-277. (paper)(code)
K. J. Yu, J. Liang*, B. Y. Qu, Y. Luo, C. T. Yue. Dynamic selection preference-assisted constrained multiobjective differential evolution[J]. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2022, 52(5): 2954-2965. (paper)
J. Liang, X. X. Ban, K. J. Yu*, K. J. Qiao, B. Y. Qu. Constrained multiobjective differential evolution algorithm with infeasible-proportion control mechanism[J]. Knowledge-Based Systems, 2022, 250: 109105. (paper)
K. J. Yu, J. Liang*, B. Y. Qu, C. T. Yue. Purpose-directed two-phase multiobjective differential evolution for constrained multiobjective optimization[J]. Swarm and Evolutionary Computation, 2021, 60: 100799. (paper)