Opposition based PSO and Mutation Operators(OPSO with Power Mutation)

摘要：

Particle Swarm Optimization (PSO) algorithm has shown good performance in many optimization problems, but PSO suffers from the problem of early convergence into a local minima. Introduction of opposition based initialization and mutation operators have played an important role to overcome the convergence problem in function optimization. In this study we have reviewed different variants of PSO for function optimization. Researchers have proposed different modifications in PSO to prevent it from getting stuck in local optima. At the end, we have proposed a variant of PSO for better conversion.

关键词： PSO Opposition Mutation Survey Function optimization

作者: Muhammad Imran Hajira Jabeen Mubashir Ahmad Qamar Abbas Waqas Bangyal Qamar Abbas

作者单位: Department of Computer Science Iqra University, Islamabad,Pakistan

会议类型: 国际会议

会议名称: 2010 2nd International Conference on Education Technology and Computer(第二届IEEE教育技术与计算机国际会议 ICETC 2010)

会议地点: 上海

会议语种:英文

页码: 506-508

在线出版日期: 2010-06-22（万方平台首次上网日期，不代表论文的发表时间）