Gbest-guided artificial bee colony algorithm for numerical function optimization

Artificial bee colony (ABC) algorithm invented recently by Karaboga is a biological-inspired optimization algorithm, which has been shown to be competitive with some conventional biological-inspired algorithms, such as genetic algorithm (GA), differential evolution (DE) and particle swarm optimizati...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Applied mathematics and computation Jg. 217; H. 7; S. 3166 - 3173
Hauptverfasser:	Zhu, Guopu, Kwong, Sam
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Amsterdam Elsevier Inc 01.12.2010 Elsevier
Schlagworte:	Algorithms Artificial bee colony algorithm Biological-inspired optimization algorithm Calculus of variations and optimal control Colonies Differential evolution Exact sciences and technology Exploitation Genetic algorithm Mathematical analysis Mathematical models Mathematics Measure and integration Numerical analysis Numerical analysis. Scientific computation Numerical function optimization Numerical methods in mathematical programming, optimization and calculus of variations Numerical methods in optimization and calculus of variations Optimization Particle swarm optimization Sciences and techniques of general use Searching Differential evolution Artificial bee colony algorithm Biological-inspired optimization algorithm Genetic algorithm Numerical function optimization Particle swarm optimization Optimization method Global solution Search algorithm Experimental result Numerical analysis Applied mathematics Variational calculus Mathematical programming
ISSN:	0096-3003, 1873-5649
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!