A Survey of Decomposition Based Evolutionary Algorithms for Many-Objective Optimization Problems

The framework of decomposition-based multi-objective evolutionary algorithms(MOEA/D) has evolved for more than ten years, and it has become irreplaceable tool for solving multi-objective optimization problems. In recent years, many scholars have investigated improved strategies from different direct...

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Bibliographic Details

Published in:	IEEE access Vol. 10; pp. 72825 - 72838
Main Author:	Guo, Xiaofang
Format:	Journal Article
Language:	English
Published:	Piscataway IEEE 2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Convergence Decomposition evolutionary algorithm Evolutionary algorithms Evolutionary computation Many-objective Multiple objective analysis Optimization Social factors Statistics
ISSN:	2169-3536, 2169-3536
Online Access:	Get full text
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