Constrained Multiobjective Optimization via Multitasking and Knowledge Transfer

Solving constrained multiobjective optimization problems (CMOPs) with various features and challenges via evolutionary algorithms is very popular. Existing methods usually adopt an additional helper problem to simplify and solve them by divide and conquer. This article proposes a new multitasking fr...

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Vydané v:	IEEE transactions on evolutionary computation Ročník 28; číslo 1; s. 77 - 89
Hlavní autori:	Ming, Fei, Gong, Wenyin, Wang, Ling, Gao, Liang
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 01.02.2024
Predmet:	Constraints Evolutionary algorithms Knowledge management Multiple objective analysis Multitasking Optimization
ISSN:	1089-778X, 1941-0026
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