A Particle Swarm Optimization Algorithm with Partial Mutation Strategy and its Application

摘要：

A particle swarm optimization algorithm with partial mutation strategy (PMPSO) is developed. During the searching process, only premature convergence particles are mutated to escape from local optimum, and they are no more mutated in next several generations in order to search efficiently in other areas; other non-premature particles go on their evolutions normally. Several parameters of the PMPSO algorithm are studied in this paper. Experimental results show the feasibility and validity of PMPSO. Furthermore, application result demonstrates that PMPSO is more feasible and efficient for optimal design of three-dimensional hydrofoil.

关键词： particle swarm optimization partial mutation strategy optimal design three-dimensional hydrofoil

作者: CAI Haopeng SU Yumin ZHANG He

作者单位: State Key Laboratory of Autonomous Underwater Vehicle Harbin Engineering University Harbin 150001,China

会议类型: 国际会议

会议名称: 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems(2009 IEEE 智能计算与智能系统国际会议)

会议地点: 上海

会议语种:英文

页码: 522-526

在线出版日期: 2009-11-20（万方平台首次上网日期，不代表论文的发表时间）