DCDG-EA: Dynamic convergence–diversity guided evolutionary algorithm for many-objective optimization

•DCDG-EA algorithm uses reference vector decomposition to solve MaOPs.•CDOS selects an appropriate operator to generate offspring.•CDIS strategy simultaneously considers the convergence and diversity of solutions. Maintaining a good balance between the convergence and the diversity is particularly c...

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Veröffentlicht in:	Expert systems with applications Jg. 118; S. 35 - 51
Hauptverfasser:	Li, Zhiyong, Lin, Ke, Nouioua, Mourad, Jiang, Shilong, Gu, Yu
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Elsevier Ltd 15.03.2019 Elsevier BV
Schlagworte:	Algorithms Convergence Decomposition Distance measurement Diversity Evolutionary algorithm Evolutionary algorithms Many-objective optimization Multiple objective analysis Optimization Pareto optimality State of the art Subspaces Pareto optimality Decomposition Many-objective optimization Evolutionary algorithm Diversity Convergence
ISSN:	0957-4174, 1873-6793
Online-Zugang:	Volltext
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