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A novel constraint-handling technique based on dynamic weights for constrained optimization problems., , и . Soft Comput., 22 (12): 3919-3935 (2018)A Decomposition-Based Constraint-Handling Technique for Constrained Multi-objective Optimization., и . WI Workshops, стр. 129-134. IEEE Computer Society, (2016)An improved Covariance Matrix Leaning and Searching Preference algorithm for solving CEC 2015 benchmark problems., , , и . CEC, стр. 1041-1045. IEEE, (2015)The Effect of Feasible Region on Imbalanced Problem in Constrained Multi-objective Optimization., , и . CIS, стр. 82-86. IEEE Computer Society, (2017)Population Decomposition-Based Greedy Approach Algorithm for the Multi-Objective Knapsack Problems., , и . Int. J. Pattern Recognit. Artif. Intell., 31 (4): 1759006:1-1759006:17 (2017)A Cooperative Evolutionary Framework Based on an Improved Version of Directed Weight Vectors for Constrained Multiobjective Optimization With Deceptive Constraints., , и . IEEE Trans. Cybern., 51 (11): 5546-5558 (2021)Investigating the Performance of Evolutionary Algorithms on Constrained Multi-objective Optimization Problems with Deceptive Infeasible Regions., , и . SSCI, стр. 3047-3052. IEEE, (2019)Solving constrained optimization using decomposition-based EMO algorithm., , и . IJCNN, стр. 4170-4176. IEEE, (2016)An Evolutionary Algorithm with Feasibility Tracking Strategy for Constrained Multi-Objective Optimization Problems., , , , и . CEC, стр. 1-8. IEEE, (2024)