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
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;
Conference_Titel :
American Control Conference, 2003. Proceedings of the 2003
Print_ISBN :
0-7803-7896-2
DOI :
10.1109/ACC.2003.1242442
