Large-Scale Multi-Objective Optimization Algorithm Based on Weighted Overlapping Grouping of Decision Variables

The large-scale multi-objective optimization algorithm (LSMOA), based on the grouping of decision variables, is an advanced method for handling high-dimensional decision variables. However, in practical problems, the interaction among decision variables is intricate, leading to large group sizes and...

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Bibliographic Details

Published in:	Computer modeling in engineering & sciences Vol. 140; no. 1; pp. 363 - 383
Main Authors:	Chen, Liang, Zhang, Jingbo, Wu, Linjie, Cai, Xingjuan, Xu, Yubin
Format:	Journal Article
Language:	English
Published:	Henderson Tech Science Press 2024
Subjects:	Algorithms Convergence Multiple objective analysis Optimization Optimization algorithms Subgroups Variables
ISSN:	1526-1506, 1526-1492, 1526-1506
Online Access:	Get full text
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