Integrating artificial bee colony and bees algorithm for solving numerical function optimization

被引：0
作者：
Hsing-Chih Tsai
机构：
[1] National Taiwan University of Science and Technology,Department of Construction Engineering
[2] National Taiwan University of Science and Technology,Ecological and Hazard Mitigation Engineering Researching Center
来源：
Neural Computing and Applications | 2014年 / 25卷
关键词：
Optimization; Swarm intelligence; Artificial bee colony; Bees algorithm; Two bees algorithm;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
This work integrates artificial bee colony (ABC) and bees algorithm (BA) to develop a two bees (TB) algorithm. Agents of TB are stochastically assigned to ABC and BA sub-swarms in each iteration according to their fitness values. Consequently, the current healthier sub-swarm gains more agents to carry out its actions. Sub-swarm populations therefore vary ceaselessly during iterations, while either the ABC or BA sub-swarms may be superior to the other. Experiments are conducted on 23 benchmark functions. Results demonstrate that the TB performs better than or close to the ABC or BA winner. TB overcomes the poor performance of ABC and BA in handling particular problems.
引用
收藏
页码：635 / 651
页数：16
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