A dual-population based two-archive coevolution algorithm for constrained multi-objective optimization problems

How to balance the objectives and constraints better is the key to solving constrained multi-objective optimization problems (CMOPs). Many evolutionary algorithms struggle to fully converge to the entire Pareto front, especially in CMOPs with narrow and complex feasible regions, which posing signifi...

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Bibliographic Details
Published in:Engineering applications of artificial intelligence Vol. 158; p. 111419
Main Authors: Chen, Miao, Zhao, Shijie, Zhang, Tianran, Zhang, Lei
Format: Journal Article
Language:English
Published: Elsevier Ltd 15.10.2025
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ISSN:0952-1976
Online Access:Get full text
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