A multi-objective differential evolutionary algorithm for constrained multi-objective optimization problems with low feasible ratio

Most current evolutionary multi-objective optimization (EMO) algorithms perform well on multi-objective optimization problems without constraints, but they encounter difficulties in their ability for constrained multi-objective optimization problems (CMOPs) with low feasible ratio. To tackle this pr...

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Bibliographic Details

Published in:	Applied soft computing Vol. 80; pp. 42 - 56
Main Authors:	Yang, Yongkuan, Liu, Jianchang, Tan, Shubin, Wang, Honghai
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.07.2019
Subjects:	Constrained multi-objective optimization Different evolution Epsilon constraint handling method Constrained multi-objective optimization Epsilon constraint handling method Different evolution
ISSN:	1568-4946, 1872-9681
Online Access:	Get full text
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