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 conferencePaperpeer-review


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
Number of pages6
Publication statusPublished - 2004
Externally publishedYes
EventIIE Annual Conference and Exhibition 2004 - Houston, TX, United States
Duration: May 15 2004May 19 2004


OtherIIE Annual Conference and Exhibition 2004
Country/TerritoryUnited States
CityHouston, TX


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

ASJC Scopus subject areas

  • General Engineering


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