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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Bibliographic Details
Published in:IEEE transactions on evolutionary computation Vol. 28; no. 1; pp. 77 - 89
Main Authors: Ming, Fei, Gong, Wenyin, Wang, Ling, Gao, Liang
Format: Journal Article
Language:English
Published: New York The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 01.02.2024
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ISSN:1089-778X, 1941-0026
Online Access:Get full text
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