A constrained multi-objective evolutionary algorithm using valuable infeasible solutions

Many studies have shown that the effective mixture of feasible and infeasible solutions is beneficial to solve the constrained multi-objective optimization problems (CMOPs). So, it is of great importance to fully identify the valuable infeasible solutions that are helpful to find the constrained Par...

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Veröffentlicht in:	Swarm and evolutionary computation Jg. 68; S. 101020
Hauptverfasser:	Yuan, Jiawei, Liu, Hai-Lin, He, Zhaoshui
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.02.2022
Schlagworte:	Constraint handling Criterion Evolutionary algorithm Multi-Objective optimization Constraint handling Multi-Objective optimization Criterion Evolutionary algorithm 0000 1111
ISSN:	2210-6502
Online-Zugang:	Volltext
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