High Dimensional System Design using Genetic Algorithms & Visualization

Xiaopeng Fang, Brian Kellogg, Tye Conlan, Julie Dickerson, Di Cook

Research output: Contribution to journalConference articleOtherpeer-review

Abstract

This paper uses genetic algorithms (GA) 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.

Original languageEnglish
Pages (from-to)4561-4566
Number of pages6
JournalProceedings of the American Control Conference
Volume6
Publication statusPublished - 7 Nov 2003
Event2003 American Control Conference - Denver, CO, United States of America
Duration: 4 Jun 20036 Jun 2003

Cite this

Fang, Xiaopeng ; Kellogg, Brian ; Conlan, Tye ; Dickerson, Julie ; Cook, Di. / High Dimensional System Design using Genetic Algorithms & Visualization. In: Proceedings of the American Control Conference. 2003 ; Vol. 6. pp. 4561-4566.
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High Dimensional System Design using Genetic Algorithms & Visualization. / Fang, Xiaopeng; Kellogg, Brian; Conlan, Tye; Dickerson, Julie; Cook, Di.

In: Proceedings of the American Control Conference, Vol. 6, 07.11.2003, p. 4561-4566.

Research output: Contribution to journalConference articleOtherpeer-review

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