文献类型：会议论文

英文题名：A Competitive Swarm Optimizer Integrated with Cauchy and Gaussian Mutation for Large Scale Optimization

作者：Zhang, Qiang[1];Cheng, Hui[1];Ye, Zhencheng[1];Wang, Zhenlei[1]

机构：[1]East China Univ Sci & Technol, Minist Educ, Key Lab Adv Control & Optimizat Chem Proc, Shanghai 200237, Peoples R China

会议论文集：36th Chinese Control Conference (CCC)

会议日期：JUL 26-28, 2017

会议地点：Dalian, PEOPLES R CHINA

语种：英文

外文关键词：Competitive Swarm Optimizer; Cauchy Mutation; Neighborhood Topology; Particle Swarm Optimization; Large Scale Optimization

摘要：Competitive swarm optimizer (CSO) has shown promising results for solving large scale global optimization problems proposed recently. However, CSO shows insufficient exploitation of the population. In this paper, a competitive swarm optimizer integrated with Cauchy and Gaussian mutation (CGCSO) is proposed for large scale optimization. The new algorithm does not only update the losers' positions with the CSO method, but also update the winners' positions by Cauchy and Gaussian mutation to improve the exploitation capability of the population. Moreover, CGCSO utilizes the ring topology to enhance the swarm diversity and alleviate premature convergence. A comparative study between CGCSO and CSO evaluated on the CEC'08 benchmark functions has been carried out. The experimental results indicate that CGCSO performs better on the whole, especially on the non-separable functions and 500-dimensional problems.