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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Veröffentlicht in:	IEEE transactions on evolutionary computation Jg. 28; H. 1; S. 77 - 89
Hauptverfasser:	Ming, Fei, Gong, Wenyin, Wang, Ling, Gao, Liang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 01.02.2024
Schlagworte:	Constraints Evolutionary algorithms Knowledge management Multiple objective analysis Multitasking Optimization
ISSN:	1089-778X, 1941-0026
Online-Zugang:	Volltext
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