Parameter Selection for Ant Colony Algorithm Based on Bacterial Foraging Algorithm

The optimal performance of the ant colony algorithm (ACA) mainly depends on suitable parameters; therefore, parameter selection for ACA is important. We propose a parameter selection method for ACA based on the bacterial foraging algorithm (BFA), considering the effects of coupling between different...

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Veröffentlicht in:	Mathematical problems in engineering Jg. 2016; H. 2016; S. 1 - 12
Hauptverfasser:	Li, Peng, Zhu, Hua
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Cairo, Egypt Hindawi Publishing Corporation 01.01.2016 John Wiley & Sons, Inc
Schlagworte:	Algorithms Ant colony optimization Bacteria Formicidae Genetic algorithms Global optimization Mathematical analysis Methods Operators Optimization Parameters Particle swarm optimization Robots Standard deviation
ISSN:	1024-123X, 1563-5147
Online-Zugang:	Volltext
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