A New Dominance Relation-Based Evolutionary Algorithm for Many-Objective Optimization

Many-objective optimization has posed a great challenge to the classical Pareto dominance-based multiobjective evolutionary algorithms (MOEAs). In this paper, an evolutionary algorithm based on a new dominance relation is proposed for many-objective optimization. The proposed evolutionary algorithm...

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Veröffentlicht in:	IEEE transactions on evolutionary computation Jg. 20; H. 1; S. 16 - 37
Hauptverfasser:	Yuan, Yuan, Xu, Hua, Wang, Bo, Yao, Xin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.02.2016 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Convergence diversity Dominance dominance relation Evolutionary algorithms Evolutionary computation Genetic algorithms Indexes Many-objective optimization Mathematical analysis Mathematical models non-dominated sorting Optimization Production scheduling Sociology Sorting Statistics many-objective optimization diversity nondominated sorting dominance relation Convergence
ISSN:	1089-778X, 1941-0026
Online-Zugang:	Volltext
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