A multi-strategy enhanced sine cosine algorithm for global optimization and constrained practical engineering problems

The Sine Cosine Algorithm (SCA) has received much attention from engineering and scientific fields since it was proposed. Nevertheless, when solving multimodal or complex high dimensional optimization tasks, the conventional SCA still has a high probability of falling into the local optimal stagnati...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Applied mathematics and computation Jg. 369; S. 124872
Hauptverfasser:	Chen, Huiling, Wang, Mingjing, Zhao, Xuehua
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Inc 15.03.2020
Schlagworte:	Cauchy mutation operator Chaotic local search Constrained mathematical modeling Differential evolution Memetic sine cosine algorithm Opposition-based learning Differential evolution Cauchy mutation operator Chaotic local search Constrained mathematical modeling Opposition-based learning Memetic sine cosine algorithm
ISSN:	0096-3003
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!