Analysis and Research on Particle Swarm Optimization Algorithm

doi:10.3969/j.issn.1006-2475.2009.07.006

Computer and Modernization ›› 2009, Vol. 1 ›› Issue (7): 22-25.doi: 10.3969/j.issn.1006-2475.2009.07.006

• 人工智能 • Previous Articles Next Articles

Analysis and Research on Particle Swarm Optimization Algorithm

WANG Jin; ZHANG Qiu-ming; HUANG Bo

School of Computer, China University of Geosciences, Wuhan 430074, China

Received:2008-07-04 Revised:1900-01-01 Online:2009-07-10 Published:2009-07-10

Abstract

Abstract: Particle swarm optimization algorithm is a kind of new evolutionary computation technology. The algorithm completes the iterative process through following the personal best solution and the global best value. The basic principles of PSO are introduced firstly. Then several typical improved algorithms of PSO are introduced and analyzed and compared by simulation experiment. Finally, future research issues are given.

Key words: particle swarm optimization, swarm intelligence, evolutionary computation

CLC Number:

TP301.6

WANG Jin;ZHANG Qiu-ming;HUANG Bo. Analysis and Research on Particle Swarm Optimization Algorithm[J]. Computer and Modernization, 2009, 1(7): 22-25.

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