Push and pull search for solving constrained multi-objective optimization problems

This paper proposes a push and pull search (PPS) framework for solving constrained multi-objective optimization problems (CMOPs). To be more specific, the proposed PPS divides the search process into two different stages: push and pull search stages. In the push stage, a multi-objective evolutionary...

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Veröffentlicht in:	Swarm and evolutionary computation Jg. 44; S. 665 - 679
Hauptverfasser:	Fan, Zhun, Li, Wenji, Cai, Xinye, Li, Hui, Wei, Caimin, Zhang, Qingfu, Deb, Kalyanmoy, Goodman, Erik
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.02.2019
Schlagworte:	Constrained multi-objective evolutionary algorithms Constraint-handling mechanisms Multiobjective evolutionary algorithm based on decomposition (MOEA/D) Push and pull search Constraint-handling mechanisms Constrained multi-objective evolutionary algorithms Push and pull search Multiobjective evolutionary algorithm based on decomposition (MOEA/D)
ISSN:	2210-6502
Online-Zugang:	Volltext
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