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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Veröffentlicht in:	IEEE access Jg. 10; S. 72825 - 72838
1. Verfasser:	Guo, Xiaofang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Convergence Decomposition evolutionary algorithm Evolutionary algorithms Evolutionary computation Many-objective Multiple objective analysis Optimization Social factors Statistics
ISSN:	2169-3536, 2169-3536
Online-Zugang:	Volltext
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