A Hybrid Algorithm Based on PSO and DE and Its Application in Complexity System

摘要：

The optimization of complex system is a challenging research field in intelligent optimization. In this paper, the problem of how to decouple the unit of the complex system was proposed. The model on order link settlement in system reconfiguration model based on time Petri-net is put forward, order intelligent operation series is guided by a hybrid particle swarm optimization(HPSO) algorithm with Differential Evolution(DE) algorithm. PSO provides initial solution for DE during the hybrid search process. Such hybrid algorithm can be converted to tradition DE by setting swarm size to one particle. Simulation results show that the proposed model and algorithm are effective to order evaluation and implementation.

关键词： Particle Swarm Optimization(PSO) Differential Evolution(DE) Petri Net Complex System

作者: Yahong Yang Ying Wang

作者单位: College of Civil Engineering, LanZhou University of Technology Lanzhou, China

会议类型: 国际会议

会议名称: 2010 International Conference on Advanced Mechanical Engineering(2010年先进机械工程国际学术会议 AME 2010)

会议地点: 洛阳

会议语种:英文

页码: 1155-1158

在线出版日期: 2010-09-04（万方平台首次上网日期，不代表论文的发表时间）