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

Keywords

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

ASJC Scopus subject areas

  • Engineering(all)

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  • 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)