A Particle Swarm Optimization (PSO) Algorithm Based on Multi-agent System
Sheng Shangxiong · 2008
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.