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
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;
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
DOI :
10.1109/ISSCAA.2006.1627633
