A Extended Cultural Algorithm Based on Fuzzy Adaptive PSO

摘要：

To improve the parallel Computational ability of the basic Cultural Algorithm (CA) and evolve the optimum Adaptive inertia weight of Particle Swarm Optimization (PSO),in this paper,a extended Cultural Algorithm (ECA) consisting of a social population of PSO divided into some subpopulations corresponding series small belief spaces which constitute the big belief space of the controller of inertia weight by Fuzzy system (ECA-FPSO) is proposed.Each subpopulation can have its own evolution process and different influence on the belief space.Simulations for a series of benchmark test functions show that the proposed method possesses better ability to find the global optimum.

关键词： Cultural Algorithm (CA) Fuzzy system Particle Swarm Optimization (PSO) Adaptive inertia weight

作者: Jianzhou Wang Gaoyuan Zheng Jinzhao Liang Haiyan Lu

作者单位: School of Mathematics & Statistics,Lanzhou University,Lanzhou,730000,China Department of Software Engineering,University of Technology,Sydney,Australia

会议类型: 国际会议

会议名称: The 2008 International Conference on Business Intelligence and Financial Engineering(BIFE 2008)(商业智能和金融工程国际会议)

会议地点: 长沙

会议语种:英文

页码: 591-597

在线出版日期: 2008-10-28（万方平台首次上网日期，不代表论文的发表时间）