A novel binary artificial bee colony algorithm based on genetic operators

This study proposes a novel binary version of the artificial bee colony algorithm based on genetic operators (GB-ABC) such as crossover and swap to solve binary optimization problems. Integrated to the neighbourhood searching mechanism of the basic ABC algorithm, the modification comprises four stag...

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Veröffentlicht in:	Information sciences Jg. 297; S. 154 - 170
Hauptverfasser:	Ozturk, Celal, Hancer, Emrah, Karaboga, Dervis
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Inc 10.03.2015
Schlagworte:	Algorithms Artificial bee colony Binary optimization Children Dynamic clustering Foods Genetic algorithm Genetics Knapsack problem Mathematical models Operators Optimization Swarm intelligence Artificial bee colony Dynamic clustering Binary optimization Genetic algorithm Knapsack problem
ISSN:	0020-0255
Online-Zugang:	Volltext
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