Gbest-guided Artificial Chemical Reaction Algorithm for global numerical optimization

摘要：

Chemical reaction(ACR) optimization algorithm invented recently by Bilal Alatas is a heuristics algorithm.However, there is still an insufficiency in ACR algorithm regarding its solution search equation, which is good at exploration but poor at exploitation.Inspired by Particle swarm optimization, we propose an improved ACR algorithm called gbest-guided ACR (GACR) algorithm by incorporating the information of global best (gbest) solution into the solution search equation to improve the exploitation.The experimental results tested on a set of numerical benchmark functions show that GACR algorithm can outperform ACR algorithm in most of the experiments.

关键词： artificial chemical reaction optimization algorithm Numerical optimization

作者: YANG Shi-da YI Ya-lin SHAN Zhi-yong

作者单位: College of Computer Science and Technology,Wuhan University of Science and Technology,Wuhan,Hubei 43 School of Mathematics and Statistics,Central China Normal University,Wuhan,Hubei430079,China College of Information Science and Technology,Donghua University,Shanghai,shanghai 200051,China

会议类型: 国际会议

会议名称: International Conference on Advances in Engineering 2011(2011年工程研究进展国际学术会议 ICAE2011)

会议地点: 南京

会议语种:英文

页码: 197-201

在线出版日期: 2011-12-17（万方平台首次上网日期，不代表论文的发表时间）