DocumentCode :
2823143
Title :
A New Kind of PSO--Convergent Fuzzy Particle Swarm Optimization and Performance Analysis
Author :
Meng, Xuelei ; Jia, Limin
Author_Institution :
State Key Lab. of Rail Traffic, Beijing Jiaotong Univ., Beijing
Volume :
2
fYear :
2008
fDate :
2-4 Sept. 2008
Firstpage :
102
Lastpage :
107
Abstract :
In this paper, a new kind of FPSO is proposed, called convergent fuzzy particle swarm optimization (CFPSO) to enhance the convergent performance. A convergent gene is introduced in the velocity equation of the FPSO, thus it turns to CFPSO. And it differs from convergent particle swarm optimization (CPSO) in that it employs the fuzzy membership function in the velocity equation. The CFPSO performance is evaluated with four popular benchmark functions, compared with the performance of FPSO, CPSO and standard PSO. The experimental results show that better performance can be gained with the new optimization algorithm, both in convergent ability and high precision.
Keywords :
fuzzy set theory; particle swarm optimisation; CFPSO performance analysis; convergent fuzzy particle swarm optimization; convergent gene; fuzzy membership function; velocity equation; Computer networks; Equations; Fuzzy control; Information management; Laboratories; Particle swarm optimization; Performance analysis; Rails; Railway safety; Traffic control; Covergent; Fuzzy; Particle swarm optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Networked Computing and Advanced Information Management, 2008. NCM '08. Fourth International Conference on
Conference_Location :
Gyeongju
Print_ISBN :
978-0-7695-3322-3
Type :
conf
DOI :
10.1109/NCM.2008.222
Filename :
4624125
Link To Document :
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