A Fuzzy Adaptive Programming Method of Particle Swarm Optimization

Author

Kang, Qi ; Wang, Lei ; Wu, Qidi

Author_Institution

Dept. of Control, Tongji Univ., Shanghai

fYear

2005

fDate

21-24 Nov. 2005

Firstpage

1

Lastpage

6

Abstract

This paper introduces a novel multi-optimum programming mode for the particle swarm optimization algorithm. Initially, to efficiently control the relationship between multi-optimum information and convergence to the global optimum solution, fuzzy logic is introduced into the process of multi-optimum distribution state dynamic programming. Then, the fuzzy adaptive programming method based on single-variable and two-dimension-input fuzzy control structure for optimum and sub-optimum distribution information is implemented and simulated with different function optimization problems.

Keywords

adaptive systems; dynamic programming; fuzzy control; fuzzy logic; particle swarm optimisation; dynamic programming; fuzzy adaptive programming method; fuzzy logic; global optimum solution; information distribution; multioptimum programming mode; particle swarm optimization; single-variable fuzzy control structure; two-dimension-input fuzzy control structure; Adaptive control; Dynamic programming; Electronic mail; Functional programming; Fuzzy control; Fuzzy logic; Optimization methods; Particle swarm optimization; Programmable control; Programming profession; Fuzzy adaptive programming; Multi-optimum information; Particle swarm optimization;

fLanguage

English

Publisher

ieee

Conference_Titel

TENCON 2005 2005 IEEE Region 10

Conference_Location

Melbourne, Qld.

Print_ISBN

0-7803-9311-2

Electronic_ISBN

0-7803-9312-0

Type

conf

DOI

10.1109/TENCON.2005.300992

Filename

4084938