DocumentCode
1978838
Title
Fuzzy multi-objective fitness functions for dynamical system optimization
Author
Fang, Xiaopeng ; Kellog, Brian ; Conlan, Tye ; Dickerson, Julie
Author_Institution
Dept. of Electr. Eng., Iowa State Univ., Ames, IA, USA
fYear
2003
fDate
24-26 July 2003
Firstpage
347
Lastpage
352
Abstract
Genetic algorithms (GA) can be used to design complex multi-objective systems. The fitness function in the GA was designed using fuzzy multi-objective integer programming to capture fuzzy design goals such as driver comfort and quick stopping ability. The effectiveness of methods is demonstrated by a brake control design example.
Keywords
brakes; fuzzy logic; genetic algorithms; integer programming; vehicles; brake control design; complex multiobjective systems; dynamical system optimization; fuzzy logic; fuzzy multiobjective fitness functions; fuzzy multiobjective integer programming; genetic algorithms; vehicles; Algorithm design and analysis; Axles; Fuzzy systems; Genetic algorithms; Hydraulic systems; Pressure control; Space exploration; Valves; Visual databases; Visualization;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Information Processing Society, 2003. NAFIPS 2003. 22nd International Conference of the North American
Print_ISBN
0-7803-7918-7
Type
conf
DOI
10.1109/NAFIPS.2003.1226809
Filename
1226809
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