A comparative study of Artificial Bee Colony algorithm

Artificial Bee Colony (ABC) algorithm is one of the most recently introduced swarm-based algorithms. ABC simulates the intelligent foraging behaviour of a honeybee swarm. In this work, ABC is used for optimizing a large set of numerical test functions and the results produced by ABC algorithm are co...

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Veröffentlicht in:	Applied mathematics and computation Jg. 214; H. 1; S. 108 - 132
Hauptverfasser:	Karaboga, Dervis, Akay, Bahriye
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Amsterdam Elsevier Inc 01.08.2009 Elsevier
Schlagworte:	Artificial Bee Colony algorithm Calculus of variations and optimal control Differential evolution Evolution strategies Exact sciences and technology Genetic algorithms Mathematical analysis Mathematics Measure and integration Numerical analysis Numerical analysis. Scientific computation Numerical methods in mathematical programming, optimization and calculus of variations Particle swarm optimization Sciences and techniques of general use Swarm intelligence Unconstrained optimization Artificial Bee Colony algorithm Unconstrained optimization Evolution strategies Differential evolution Swarm intelligence Particle swarm optimization Genetic algorithms Optimization method Numerical analysis Genetic algorithm Applied mathematics Comparative study Mathematical programming
ISSN:	0096-3003, 1873-5649
Online-Zugang:	Volltext
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