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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 . CoRR, (2022)Two-Stage Greedy Approximated Hypervolume Subset Selection for Large-Scale Problems., , , and . EMO, volume 13970 of Lecture Notes in Computer Science, page 391-404. Springer, (2023)Analysis of Partition Methods for Dominated Solution Removal from Large Solution Sets., , , and . SSCI, page 441-448. IEEE, (2023)Two-Stage Lazy Greedy Inclusion Hypervolume Subset Selection for Large-Scale Problem., , and . SMC, page 1154-1161. IEEE, (2023)Ensemble R2-based Hypervolume Contribution Approximation., , , , and . SSCI, page 1503-1510. IEEE, (2023)Effects of Archive Size on Computation Time and Solution Quality for Multi-Objective Optimization., , , and . CoRR, (2022)Learning to Approximate: Auto Direction Vector Set Generation for Hypervolume Contribution Approximation., , and . IEEE Trans. Evol. Comput., 28 (1): 105-116 (February 2024)