A mixed-integer robust design optimization and genetic algorithm

Sangmun Shin; Madhumohan S. Govindaluri; Byung Rae Cho

A mixed-integer robust design optimization and genetic algorithm

Sangmun Shin^*, Madhumohan S. Govindaluri, Byung Rae Cho

^*Corresponding author for this work

Research output: Contribution to conference › Paper › peer-review

Abstract

The majority of existing robust design models assume that input factors are continuous. In today's complex engineering systems, however, combined discrete-continuous factors are often used for the product and process design. In this paper, we propose a mixed-integer based robust design model in the context of response surface design. We then show how the genetic algorithm can be used for solving this particular robust design problem.

Original language	English
Pages	1-6
Number of pages	6
Publication status	Published - 2004
Externally published	Yes
Event	IIE Annual Conference and Exhibition 2004 - Houston, TX, United States Duration: May 15 2004 → May 19 2004

Other

Other	IIE Annual Conference and Exhibition 2004
Country/Territory	United States
City	Houston, TX
Period	5/15/04 → 5/19/04

Keywords

Genetic algorithm
Modified central composite design
Optimization
Response surface methodology
Robust design

ASJC Scopus subject areas

Engineering(all)

Cite this

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title = "A mixed-integer robust design optimization and genetic algorithm",

abstract = "The majority of existing robust design models assume that input factors are continuous. In today's complex engineering systems, however, combined discrete-continuous factors are often used for the product and process design. In this paper, we propose a mixed-integer based robust design model in the context of response surface design. We then show how the genetic algorithm can be used for solving this particular robust design problem.",

keywords = "Genetic algorithm, Modified central composite design, Optimization, Response surface methodology, Robust design",

author = "Sangmun Shin and Govindaluri, {Madhumohan S.} and Cho, {Byung Rae}",

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AU - Shin, Sangmun

AU - Govindaluri, Madhumohan S.

AU - Cho, Byung Rae

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N2 - The majority of existing robust design models assume that input factors are continuous. In today's complex engineering systems, however, combined discrete-continuous factors are often used for the product and process design. In this paper, we propose a mixed-integer based robust design model in the context of response surface design. We then show how the genetic algorithm can be used for solving this particular robust design problem.

AB - The majority of existing robust design models assume that input factors are continuous. In today's complex engineering systems, however, combined discrete-continuous factors are often used for the product and process design. In this paper, we propose a mixed-integer based robust design model in the context of response surface design. We then show how the genetic algorithm can be used for solving this particular robust design problem.

KW - Genetic algorithm

KW - Modified central composite design

KW - Optimization

KW - Response surface methodology

KW - Robust design

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M3 - Paper

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T2 - IIE Annual Conference and Exhibition 2004

Y2 - 15 May 2004 through 19 May 2004

ER -

A mixed-integer robust design optimization and genetic algorithm

Abstract

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Keywords

ASJC Scopus subject areas

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