Title

A Game Theoretic Based Scheme for Multidisciplinary Optimization with Uncertainty

Abstract

A game theoretic based scheme is considered in this study for multidisciplinary design optimization under uncertain conditions. The methodology developed is illustrated by considering the example of an internal combustion (IC) engine. Various game protocols are used to model the optimization process and the results obtained are compared with each other. A genetic algorithm (GA) is used as an optimization and constraining tool. Convergence, constraint handling and processing time are considered to evaluate the efficacy of the methodology developed.

Meeting Name

2004 ASME International Mechanical Engineering Congress and Exposition (2004: Nov. 13-19, Anaheim, CA)

Department(s)

Mechanical and Aerospace Engineering

Sponsor(s)

ASME, Dynamic Systems and Control Division

Keywords and Phrases

Constraint theory; Genetic algorithms; Optimization; Probability; Product development; Risk assessment; Sensitivity analysis; Uncertain systems; Engineering system design; Non-cooperative optimization; Robust design; Uncertainty in design; Game theory

Library of Congress Subject Headings

Game theory
Genetic algorithms

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2004 American Society of Mechanical Engineers (ASME), All rights reserved.

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