DocumentCode
2250961
Title
High dimensional system design using genetic algorithms & visualization
Author
Fang, Xiaopeng ; Kellogg, Brian ; Conlan, Tye ; Dickerson, Julie ; Cook, Di
Author_Institution
Dept. of Electr. Eng., Iowa State Univ., Ames, IA, USA
Volume
6
fYear
2003
fDate
4-6 June 2003
Firstpage
4561
Abstract
This paper uses genetic algorithms to explore and optimize a high dimensional multiobjective system for brake control. The design goal is to make a hydraulic brake system efficient and comfortable for a variety of vehicles. High dimensional visualization has been used to visualize the design space and design the fitness function. The effectiveness of methods is demonstrated by the brake design example.
Keywords
brakes; control system analysis computing; data visualisation; genetic algorithms; hydraulic systems; brake control; design space visualization; dimensional visualization; fitness function; genetic algorithm; high dimensional multiobjective system; high dimensional system design; hydraulic brake system; Algorithm design and analysis; Control systems; Data visualization; Genetic algorithms; Genetic engineering; Hydraulic systems; Process design; Space exploration; Valves; Visual databases;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 2003. Proceedings of the 2003
ISSN
0743-1619
Print_ISBN
0-7803-7896-2
Type
conf
DOI
10.1109/ACC.2003.1242442
Filename
1242442
Link To Document