A Particle Swarm Optimization(PSO) Algorithm Based on Multi-Agent System

摘要：

In this paper, a distributed PSO algorithm in the JADE platform is studied based on traditional PSO. A parallel PSO algorithm structure based on Multi-agent corporative is proposed. The structure is made up of several compute units. Each unit is a compute agent running basic particle swarm optimization. Simulation results show that the distributed structure can enhance system running efficiency. With the principal and subordinate running mechanism, the communication step is simplified, the running efficiency is optimized and the realization speed is enhanced.

作者: Sheng Shangxiong

作者单位: School of Mechanical and Electronical Engineering, Lanzhou University of Technology, Lanzhou, Gansu, 730050,P.R. China

会议类型: 国际会议

会议名称: International Conference on Intelligent Computation Technology and Automation(2008 智能计算技术与自动化国际会议 ICICTA 2008)

会议地点: 长沙

会议语种:英文

页码: 2093-2096

在线出版日期: 2008-10-20（万方平台首次上网日期，不代表论文的发表时间）