A mixed-integer robust design optimization and genetic algorithm

Sangmun Shin, Madhumohan S. Govindaluri, Byung Rae Cho

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 languageEnglish
Title of host publicationIIE Annual Conference and Exhibition 2004
Pages1-6
Number of pages6
Publication statusPublished - 2004
EventIIE Annual Conference and Exhibition 2004 - Houston, TX, United States
Duration: May 15 2004May 19 2004

Other

OtherIIE Annual Conference and Exhibition 2004
CountryUnited States
CityHouston, TX
Period5/15/045/19/04

Fingerprint

Genetic algorithms
Systems engineering
Product design
Process design
Design optimization

Keywords

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

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Shin, S., Govindaluri, M. S., & Cho, B. R. (2004). A mixed-integer robust design optimization and genetic algorithm. In IIE Annual Conference and Exhibition 2004 (pp. 1-6)

A mixed-integer robust design optimization and genetic algorithm. / Shin, Sangmun; Govindaluri, Madhumohan S.; Cho, Byung Rae.

IIE Annual Conference and Exhibition 2004. 2004. p. 1-6.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Shin, S, Govindaluri, MS & Cho, BR 2004, A mixed-integer robust design optimization and genetic algorithm. in IIE Annual Conference and Exhibition 2004. pp. 1-6, IIE Annual Conference and Exhibition 2004, Houston, TX, United States, 5/15/04.
Shin S, Govindaluri MS, Cho BR. A mixed-integer robust design optimization and genetic algorithm. In IIE Annual Conference and Exhibition 2004. 2004. p. 1-6
Shin, Sangmun ; Govindaluri, Madhumohan S. ; Cho, Byung Rae. / A mixed-integer robust design optimization and genetic algorithm. IIE Annual Conference and Exhibition 2004. 2004. pp. 1-6
@inproceedings{0c6a38835957470192db4406ca2832a9,
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}",
year = "2004",
language = "English",
pages = "1--6",
booktitle = "IIE Annual Conference and Exhibition 2004",

}

TY - GEN

T1 - A mixed-integer robust design optimization and genetic algorithm

AU - Shin, Sangmun

AU - Govindaluri, Madhumohan S.

AU - Cho, Byung Rae

PY - 2004

Y1 - 2004

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

UR - http://www.scopus.com/inward/record.url?scp=30044451778&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=30044451778&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:30044451778

SP - 1

EP - 6

BT - IIE Annual Conference and Exhibition 2004

ER -