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

Volume

2

fYear

2008

fDate

20-22 Oct. 2008

Firstpage

802

Lastpage

805

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Computation Technology and Automation (ICICTA), 2008 International Conference on

Conference_Location

Hunan

Print_ISBN

978-0-7695-3357-5

Type

conf

DOI

10.1109/ICICTA.2008.367

Filename

4659872