期刊
APPLIED SOFT COMPUTING
卷 8, 期 1, 页码 687-697出版社
ELSEVIER
DOI: 10.1016/j.asoc.2007.05.007
关键词
swarm intelligence; bee colony algorithm; ABC; DE; PSO; EA; numerical optimization
Artificial bee colony (ABC) algorithm is an optimization algorithm based on a particular intelligent behaviour of honeybee swarms. This work compares the performance of ABC algorithm with that of differential evolution ( DE), particle swarm optimization (PSO) and evolutionary algorithm ( EA) for multi-dimensional numeric problems. The simulation results show that the performance of ABC algorithm is comparable to those of the mentioned algorithms and can be efficiently employed to solve engineering problems with high dimensionality. (C) 2007 Elsevier B.V. All rights reserved.
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