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Effects of Archive Size on Computation Time and Solution Quality for Multiobjective Optimization.

, , , and . IEEE Trans. Evol. Comput., 27 (4): 1145-1153 (2023)

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Benchmarking large-scale subset selection in evolutionary multi-objective optimization., , , , and . Inf. Sci., (April 2023)Experience-Driven PCG via Reinforcement Learning: A Super Mario Bros Study., , and . CoG, page 1-9. IEEE, (2021)Two-Phase Procedure for Efficiently Removing Dominated Solutions From Large Solution Sets., , , and . GECCO, page 740-748. ACM, (2023)Learning to Approximate: Auto Direction Vector Set Generation for Hypervolume Contribution Approximation., , and . IEEE Trans. Evol. Comput., 28 (1): 105-116 (February 2024)Effects of Archive Size on Computation Time and Solution Quality for Multi-Objective Optimization., , , and . CoRR, (2022)Effects of External Archives on the Performance of Multi-Objective Evolutionary Algorithms on Real-World Problems., , and . CEC, page 1-8. IEEE, (2023)Empirical Hypervolume Optimal µ-Distributions on Complex Pareto Fronts., , , , , and . SSCI, page 433-440. IEEE, (2023)A Novel CNet-assisted Evolutionary Level Repairer and Its Applications to Super Mario Bros., , , and . CEC, page 1-10. IEEE, (2020)Learning to Approximate: Auto Direction Vector Set Generation for Hypervolume Contribution Approximation., , and . CoRR, (2022)Analysis of Partition Methods for Dominated Solution Removal from Large Solution Sets., , , and . SSCI, page 441-448. IEEE, (2023)