Multidisciplinary design optimization based on game theory

Qingguo Wen, Baowei Song

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

A novel multidisciplinary design optimization based on Game Theory is proposed in this paper. Game Theory studies strategic situations, and Nash equilibrium is one of the best important concepts of it. Nash equilibrium theory is applied to model the relations among the design players, the design variable and object have been regarded as the game decision-space and game side; the response of system has been looked as the payoff. The method allows that each discipline adopts its own design optimization technique, and need not systematic coordination. So it reduces the calculation task and improves operational efficiency. At last an example has been chosen to test the novel method by using iSIGHT: a gear reducer box design problem. The result shows that the new method is easy to be realized on computer and gets a better optimized result than collaborative optimization (CO) method. The new method is feasible.

Original languageEnglish
Title of host publicationApplied Informatics and Communication - International Conference, ICAIC 2011, Proceedings
Pages148-154
Number of pages7
EditionPART 2
DOIs
StatePublished - 2011
Event2011 International Conference on Applied Informatics and Communication, ICAIC 2011 - Xi'an, China
Duration: 20 Aug 201121 Aug 2011

Publication series

NameCommunications in Computer and Information Science
NumberPART 2
Volume225 CCIS
ISSN (Print)1865-0929

Conference

Conference2011 International Conference on Applied Informatics and Communication, ICAIC 2011
Country/TerritoryChina
CityXi'an
Period20/08/1121/08/11

Keywords

  • Collaborative Optimization
  • Game Theory
  • Multidisciplinary Design Optimization

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