Tuning Multi-Objective Evolutionary Algorithms on Different Sized Problem Sets
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DOI: 10.3390/math7090824
Abstract: Multi-Objective Evolutionary Algorithms (MOEAs) have been applied successfully for solving real-world multi-objective problems. Their success can depend highly on the configuration of their control parameters. Different tuning methods have been proposed in order to solve… read more here.
Keywords: objective evolutionary; problem instances; different sized; multi objective ... See more keywords