An improved firefly algorithm for numerical optimization problems and it’s application in constrained optimization

Metaheuristic algorithms are successful methods of optimization. The firefly algorithm is one of the known metaheuristic algorithms used in a variety of applications. Recently, a new and efficient version of this algorithm was introduced as NEFA, which indicated a good performance in solving optimiz...

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Veröffentlicht in:	Engineering with computers Jg. 38; H. 4; S. 3793 - 3813
Hauptverfasser:	Rezaei, Kamran, Rezaei, Hassan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Springer London 01.08.2022 Springer Nature B.V
Schlagworte:	Algorithms Attraction CAE) and Design Calculus of Variations and Optimal Control; Optimization Classical Mechanics Clustering Computer Science Computer-Aided Engineering (CAD Control Heuristic methods Math. Applications in Chemistry Mathematical and Computational Engineering Optimization Original Article Performance enhancement Performance evaluation Systems Theory Mutation Clustering Firefly algorithm Attraction model
ISSN:	0177-0667, 1435-5663
Online-Zugang:	Volltext
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