On the performance of artificial bee colony (ABC) algorithm
On the performance of artificial bee colony (ABC) algorithm
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DOI：
10.1016/j.asoc.2007.05.007
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发表时间：
2008-01-01
影响因子：
8.7
通讯作者：
Basturk, B.
中科院分区：
文献类型：
--
作者：
Karaboga, D.;Basturk, B.
人工蜂群算法（ABC）是一种基于蜂群特定智能行为的优化算法。这项工作针对多维数值问题，将 ABC 算法与差分进化 (DE)、粒子群优化 (PSO) 和进化算法 (EA) 的性能进行了比较。仿真结果表明，ABC算法的性能与上述算法相当，可以有效地解决高维工程问题。 (C) 2007 Elsevier B.V. 保留所有权利。
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.