DocumentCode
1871692
Title
A new kind of fuzzy particle swarm optimization FUZZY/spl I.bar/PSO algorithm
Author
Wang, Bo ; Liang, GuoQiang ; Wang, ChanLin ; Dong, YunLong
Author_Institution
Naval Aeronaut. Eng. Inst., Yantai
fYear
2006
fDate
19-21 Jan. 2006
Lastpage
311
Abstract
The important condition of fully utilizing the PSO algorithm is to keep the harmony between searching in detail and exploring a new area. In this paper, based on the fuzzy set theory and the relation between individual and colony, a fuzzy control variety method and a PSO algorithm are introduced to cover the shortage of control variety methods. The simulation for the test function shows: compared with the contrast method, the FUZZY_PSO algorithm has the better convergence accuracy and faster evolution velocity
Keywords
fuzzy control; fuzzy set theory; particle swarm optimisation; FUZZY_PSO algorithm; fuzzy control variety method; fuzzy particle swarm optimization; fuzzy set theory; Aerospace engineering; Birds; Convergence; Fuzzy control; Fuzzy set theory; Iterative algorithms; Optimization methods; Particle swarm optimization; Testing; Velocity control;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems and Control in Aerospace and Astronautics, 2006. ISSCAA 2006. 1st International Symposium on
Conference_Location
Harbin
Print_ISBN
0-7803-9395-3
Type
conf
DOI
10.1109/ISSCAA.2006.1627633
Filename
1627633
Link To Document