Title :
A Particle Swarm Optimization (PSO) Algorithm Based on Multi-agent System
Author :
Shangxiong, Sheng
Author_Institution :
Sch. of Mech. & Electron. Eng., Lanzhou Univ. of Technol., Lanzhou
Abstract :
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.
Keywords :
Java; multi-agent systems; parallel processing; particle swarm optimisation; JADE platform; distributed PSO algorithm; multiagent corporative; parallel PSO algorithm; particle swarm optimization; Automation; Computational modeling; Containers; Distributed computing; Genetic mutations; Java; Multiagent systems; Particle swarm optimization; Programming profession; Standardization; JADE; multi-agent system; particle swarm optimization;
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2008 International Conference on
Conference_Location :
Hunan
Print_ISBN :
978-0-7695-3357-5
DOI :
10.1109/ICICTA.2008.367
