DocumentCode :
2538126
Title :
An Adaptive Fuzzy Weight PSO Algorithm
Author :
Changxin Liu ; Chunjuan OuYang ; Ping Zhu ; Weidong Tang
Author_Institution :
Coll. of Electron. & Inf. Eng., Jinggangshan Univ., Ji´an, China
fYear :
2010
fDate :
13-15 Dec. 2010
Firstpage :
8
Lastpage :
10
Abstract :
In this paper, we propose a novel adaptive fuzzy weight parameter PSO Algorithm (FPSO). In the improved algorithm, the inertia weight reserves its decreasing property after fuzzy treatment, and the position is controlled by fuzzy parameter. Simulations have been done to illustrate that the improved algorithm can regulate global search and local search, and has better search accuracy than the basic PSO and the linear decreasing inertia weight particle swarm optimization (WPSO).
Keywords :
fuzzy set theory; particle swarm optimisation; adaptive fuzzy weight PSO algorithm; fuzzy parameter; fuzzy treatment; inertia weight particle swarm optimization; Accuracy; Convergence; Educational institutions; Equations; Optimization; Particle swarm optimization; Simulation; PSO; fuzzy weight; global optimum;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Genetic and Evolutionary Computing (ICGEC), 2010 Fourth International Conference on
Conference_Location :
Shenzhen
Print_ISBN :
978-1-4244-8891-9
Electronic_ISBN :
978-0-7695-4281-2
Type :
conf
DOI :
10.1109/ICGEC.2010.10
Filename :
5715357
Link To Document :
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