DocumentCode
3210907
Title
Research on Optimization of Fuzzy Membership Function Based on Ant Colony Algorithm
Author
Chang Jianghui ; Zhao Yongsheng ; Wei Chongzhu
Author_Institution
Res. Inst. of Autom., Dalian Maritime Univ., China
fYear
2006
fDate
7-11 Aug. 2006
Firstpage
1209
Lastpage
1213
Abstract
The successful application of fuzzy control depends on some subjectively decided parameters, such as fuzzy membership functions. In this paper, a new method utilizing ant colony algorithm (ACA) was proposed to optimize the fuzzy membership function´s parameters. The subjectivity and blindness were avoided by using this method in the process of designing the input and output membership function. The fuzzy controller optimized by ACA has been applied to control the shipping course and the simulation results show good control performance.
Keywords
artificial life; fuzzy control; fuzzy set theory; optimal control; optimisation; ant colony algorithm; fuzzy control; fuzzy membership function; optimization; shipping course; Ant colony optimization; Blindness; Fuzzy control; IEEE catalog; Influenza; Process design; Ant Colony Algorithm; Fuzzy Control; Fuzzy Membership Function;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference, 2006. CCC 2006. Chinese
Conference_Location
Harbin
Print_ISBN
7-81077-802-1
Type
conf
DOI
10.1109/CHICC.2006.280607
Filename
4060273
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