Modified game theory approach to multiobjective optimization

T. I. Freiheit, Singiresu S Rao

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

4 Scopus citations

Abstract

This paper presents an algorithm utilizing a modification of cooperative game theory to generate compromise solutions to multiobjective design problems. The importance of this algorithm is that it creates a systematic method of solving conflicting multiobjective problems with no need for interaction with the designer during optimization. Furthermore, the designer is given a measure of how good a compromise solution is by the formulation of supercriterion within the problem. The algorithm is tested on two problems including the probabilistic design of a machine tool gear train.

Original languageEnglish
Title of host publicationAmerican Society of Mechanical Engineers, Design Engineering Division (Publication) DE
Place of PublicationNew York, NY, United States
PublisherPubl by American Soc of Mechanical Engineers (ASME)
Pages107-114
Number of pages8
Volume14
StatePublished - Dec 1 1988
Externally publishedYes
EventAdvances in Design Automation - 1988 - Kissimmee, FL, USA
Duration: Sep 25 1988Sep 28 1988

Other

OtherAdvances in Design Automation - 1988
CityKissimmee, FL, USA
Period9/25/889/28/88

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Freiheit, T. I., & Rao, S. S. (1988). Modified game theory approach to multiobjective optimization. In American Society of Mechanical Engineers, Design Engineering Division (Publication) DE (Vol. 14, pp. 107-114). Publ by American Soc of Mechanical Engineers (ASME).