Survey on Multi-Objective Evolutionary Algorithms

Multi-objective evolutionary algorithm (MOEA) is the main method to solve multi-objective optimization problem (MOP), which has become one of the hottest research areas of evolutionary computation. This paper surveys the development of MOEA and its research status, classifies it into four categories...

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Veröffentlicht in:Journal of physics. Conference series Jg. 1288; H. 1; S. 12057 - 12063
Hauptverfasser: Huang, Wenlan, Zhang, Yu, Li, Lan
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Bristol IOP Publishing 01.08.2019
Schlagworte:
Evolutionary algorithms
Evolutionary computation
Genetic algorithms
Multiple objective analysis
Optimization
Physics
ISSN:1742-6588, 1742-6596
Online-Zugang:Volltext
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Zusammenfassung:Multi-objective evolutionary algorithm (MOEA) is the main method to solve multi-objective optimization problem (MOP), which has become one of the hottest research areas of evolutionary computation. This paper surveys the development of MOEA and its research status, classifies it into four categories, analyzes the advantages and disadvantages of these algorithms, and summarizes the main application fields of MOEA. Finally several viewpoints for the future research of MOEA are presented.
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ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/1288/1/012057