A dual-population Constrained Many-Objective Evolutionary Algorithm based on reference point and angle easing strategy

Constrained many-objective optimization problems (CMaOPs) have gradually emerged in various areas and are significant for this field. These problems often involve intricate Pareto frontiers (PFs) that are both refined and uneven, thereby making their resolution difficult and challenging. Traditional...

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Bibliographic Details

Published in:	PeerJ Computer Science
Main Authors:	Chen Ji, Linjie Wu, Tianhao Zhao, Xingjuan Cai
Format:	Article
Language:	English
Published:	PeerJ Inc. 2024-07-01
Subjects:	Many-objective optimization Evolutionary algorithm Constraint handling Dual-population Easing strategy
Online Access:	https://peerj.com/articles/cs-2102.pdf