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