High dimensional system design using genetic algorithms & visualization

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

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 proceeding › Conference Paper › Other › peer-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 language	English
Title of host publication	Proceedings of the American Control Conference 2003
Pages	4561-4566
Number of pages	6
Publication status	Published - 7 Nov 2003
Externally published	Yes
Event	American Control Conference 2003 - Denver, United States of America Duration: 4 Jun 2003 → 6 Jun 2003 https://ieeexplore.ieee.org/xpl/conhome/8775/proceeding?isnumber=27789 (Proceedings)

Conference

Conference	American Control Conference 2003
Abbreviated title	ACC 2003
Country/Territory	United States of America
City	Denver
Period	4/06/03 → 6/06/03
Internet address	https://ieeexplore.ieee.org/xpl/conhome/8775/proceeding?isnumber=27789 (Proceedings)

Cite this

@inproceedings{d41ccd1d50cd4bafa679b88ebd2e0896,

title = "High dimensional system design using genetic algorithms & visualization",

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.",

author = "Xiaopeng Fang and Brian Kellogg and Tye Conlan and Julie Dickerson and Di Cook",

year = "2003",

month = nov,

day = "7",

language = "English",

pages = "4561--4566",

booktitle = "Proceedings of the American Control Conference 2003",

note = "American Control Conference 2003, ACC 2003 ; Conference date: 04-06-2003 Through 06-06-2003",

url = "https://ieeexplore.ieee.org/xpl/conhome/8775/proceeding?isnumber=27789",

}

TY - GEN

T1 - High dimensional system design using genetic algorithms & visualization

AU - Fang, Xiaopeng

AU - Kellogg, Brian

AU - Conlan, Tye

AU - Dickerson, Julie

AU - Cook, Di

PY - 2003/11/7

Y1 - 2003/11/7

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=0142169011&partnerID=8YFLogxK

M3 - Conference Paper

AN - SCOPUS:0142169011

SP - 4561

EP - 4566

BT - Proceedings of the American Control Conference 2003

T2 - American Control Conference 2003

Y2 - 4 June 2003 through 6 June 2003

ER -

High dimensional system design using genetic algorithms & visualization

Abstract

Conference

Other files and links

Cite this