Evolutionary dynamic constrained optimization: Test suite construction and algorithm comparisons

Many real-world applications can be modelled as dynamic constrained optimization problems (DCOPs). Due to the fact that objective function and/or constraints change over time, solving DCOPs is a challenging task. Although solving DCOPs by evolutionary algorithms has attracted increasing interest in...

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Veröffentlicht in:	Swarm and evolutionary computation Jg. 50; S. 100559
Hauptverfasser:	Wang, Yong, Yu, Jian, Yang, Shengxiang, Jiang, Shouyong, Zhao, Shuang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.11.2019
Schlagworte:	Benchmark test functions Constraint-handling technique Dynamic constrained optimization Evolutionary algorithms Performance comparison Performance comparison Evolutionary algorithms Constraint-handling technique Dynamic constrained optimization Benchmark test functions
ISSN:	2210-6502
Online-Zugang:	Volltext
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