郑州大学计算智能实验室

‖ In Press

• K. J. Qiao, J. Liang*, W. F. Guo, Y. P. Wei, K. J. Yu, Z, Hu. Constrained Multi-objective Optimization-Based Temporal Network Observability for Biomarker Identification of Individual Patients[J]. IEEE Journal of Biomedical and Health Informatics, doi: 10.1109/JBHI.2024.3435418. IF: 6.7, 中科院一区. (paper)

• D. Z. Zhang, K. J. Yu*, J. Liang, K. J. Qiao, B. Y. Qu, K. Chen, C. T. Yue, L. Wang. History-Assisted Two-State Auxiliary Task Collaboration Approach for Dynamic Constrained Multiobjective Optimization[J]. IEEE Transactions on Evolutionary Computation, doi: 10.1109/TEVC.2024.3425756. IF: 11.7, 中科院一区. (paper) (code)

• J. Liang, Z. Hu, Z. W. Li, K. J. Qiao and W. F. Guo, Multi-Objective Optimization Based Network Control Principles for Identifying Personalized Drug Targets With Cancer[J]. IEEE Transactions on Evolutionary Computation, doi: 10.1109/TEVC.2023.3303958.(paper)

‖ Published Papers

• 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 Computation2023, 28(4): 965-979. IF: 14.3, 中科院一区. (paper)(code)

• K. J. Qiao, J. Liang*, K. J. Yu, X. X. Ban, C. T. Yue, B. Y. Qu, P. N. Suganthan. Constraints Separation Based Evolutionary Multitasking for Constrained Multi-Objective Optimization Problems[J]. IEEE/CAA Journal of Automatica Sinica, 2024, 11(8): 1819-1835. IF: 11.8, 中科院一区. (paper)(code)

• K. J. Qiao, J. Liang*, W. F. Guo*, Z. Hu, K. J. Yu, P. N. Suganthan. Knowledge-Embedded Constrained Multiobjective Evolutionary Algorithm Based on Structural Network Control Principles for Personalized Drug Targets Recognition in Cancer[J]. Information Sciences, 2024: 121033. IF: 8.1, 中科院一区. (paper)

• K. J. Yu, L. J. Wang, J. Liang, H. S. Wang*, K. J. Qiao, T. Y. Liang. Constraint subsets-based evolutionary multitasking for constrained multiobjective optimization[J]. Swarm and Evolutionary Computation, 2024, 86:101531. IF: 10, 中科院一区. (paper)

• K. J. Qiao, Z. L. Chen, B. Y. Qu, K. J. Yu, C. T. Yue, K. Chen, J. Liang*. A dual-population evolutionary algorithm based on dynamic constraint processing and resources allocation for constrained multi-objective optimization problems[J]. Expert Systems with Applications, 2024, 238: 121707. IF: 8.5, 中科院一区. (paper)

• J. Liang, L. Y. Zhang, K. J. Yu*, B. Y. Qu, F. X. Shang, K. J. Qiao. Interactive niching-based two-stage evolutionary algorithm for constrained multiobjective optimization[J]. Swarm and Evolutionary Computation, 2023, 83: 101402. IF: 10, 中科院一区. (paper)

• K. J. Qiao, J. Liang*, K. J. Yu, W. F. Guo, C. T. Yue, B. Y. Qu, P. N. Suganthan. Benchmark problems for large-scale constrained multi-objective optimization with baseline results[J]. Swarm and Evolutionary Computation, 2024, 86: 101504. IF: 10, 中科院一区. (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, 9: 5907-5922. (paper)

• 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, 27(4): 949-963. (paper)

• K. J. Qiao, J. J. Liang, Y. Bi, K. J. Yu, C. T. Yue, B. Y. Qu. An Unconstrained Auxiliary Framework for Constrained Many-Objective Optimization[C]//2023 5th International Conference on Data-driven Optimization of Complex Systems(DOCS). IEEE, 2023: 1-8. (paper)

• 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)【ESI高被引】

• 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)【ESI高被引】

• 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)【ESI高被引】

• 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)