A novel clustering-based evolutionary algorithm with objective space decomposition for multi/many-objective optimization

The framework of decomposing a multi-objective optimization problem (MOP) into some MOPs holds considerable promise. However, its advancement is constrained by numerous elements, including the incorrect segmentation of the subspaces and the challenges in balancing convergence and diversity. To addre...

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Bibliographic Details

Published in:	Information sciences Vol. 677; p. 120940
Main Authors:	Zheng, Wei, Tan, Yanyan, Yan, Zeyuan, Yang, Mingming
Format:	Journal Article
Language:	English
Published:	Elsevier Inc 01.08.2024
Subjects:	Clustering Convergence and diversity Decomposition Many-objective optimization problem Multi-objective optimization problem Many-objective optimization problem Decomposition Convergence and diversity Clustering Multi-objective optimization problem
ISSN:	0020-0255
Online Access:	Get full text
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