An enhanced multi-objective evolutionary optimization algorithm with inverse model

Multi-objective evolutionary algorithm based on the inverse model (IM-MOEA) is a popular method to solve multi-objective optimization problems (MOPs). However, IM-MOEA has some drawbacks such as low accuracy and difficulty in dealing with MOPs with irregular PFs. To address these issues, adaptive re...

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Bibliographic Details

Published in:	Information sciences Vol. 530; pp. 128 - 147
Main Authors:	Zhang, Zhechen, Liu, Sanyang, Gao, Weifeng, Xu, Jingwei, Zhu, Shengqi
Format:	Journal Article
Language:	English
Published:	Elsevier Inc 01.08.2020
Subjects:	Adaptive reference vector Estimation of distribution algorithms (EDAs) Gaussian processes (GPs) Inverse modelling Multi-objective optimization Nonrandom grouping Nonrandom grouping Multi-objective optimization Adaptive reference vector Inverse modelling Gaussian processes (GPs) Estimation of distribution algorithms (EDAs)
ISSN:	0020-0255, 1872-6291
Online Access:	Get full text
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