High dimensional system design using genetic algorithms & visualization

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

Research output: Chapter in Book/Report/Conference proceedingConference PaperOtherpeer-review


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
Title of host publicationProceedings of the American Control Conference 2003
Number of pages6
Publication statusPublished - 7 Nov 2003
Externally publishedYes
EventAmerican Control Conference 2003 - Denver, United States of America
Duration: 4 Jun 20036 Jun 2003
https://ieeexplore.ieee.org/xpl/conhome/8775/proceeding?isnumber=27789 (Proceedings)


ConferenceAmerican Control Conference 2003
Abbreviated titleACC 2003
Country/TerritoryUnited States of America
Internet address

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