Linear Weighted Gbest-guided Artificial Bee Colony Algorithm

摘要：

Artificial bee colony (ABC) algorithm invented recently by Karaboga is a competitive stochastic population-based optimization algorithm. However, solution search equation used in the original ABC algorithm is good at exploration but poor at exploitation. An improved ABC algorithm called Gbestguided ABC (GABC) was introduced by researchers to improve the exploitation of ABC algorithm. In order to improve the GABC algorithm further, we propose an improved GABC algorithm with a linear weight called WGABC, and introduce a novel solution search equation used at scout bee stage of WGABC algorithm. Experimental results tested on a set of numerical benchmark functions show that WGABC can outperform ABC and GABC algorithms in most of the experiments.

关键词： Artificial bee colony algorithm Biological-inspired optimization algorithm Numerical function optimization Swarm intelligence

作者: Yanyu Zhang Peng Zeng Yang Wang Baohui Zhu Fangjun Kuang

作者单位: Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang China School of Computer and Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang China Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang China Graduate School of Chi

会议类型: 国际会议

会议名称: 2012 Fifth International Symposium on Computational Intelligence and Design 第五届计算智能与设计国际会议 ISCID 2012

会议地点: 杭州

会议语种:英文

页码: 733-737

在线出版日期: 2012-10-28（万方平台首次上网日期，不代表论文的发表时间）