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.
A Game Theoretic Based Scheme for Multidisciplinary Optimization With Uncertainty
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Gupta, A, & Krishnamurthy, K. "A Game Theoretic Based Scheme for Multidisciplinary Optimization With Uncertainty." Proceedings of the ASME 2004 International Mechanical Engineering Congress and Exposition. Dynamic Systems and Control, Parts A and B. Anaheim, California, USA. November 13–19, 2004. pp. 645-652. ASME. https://doi.org/10.1115/IMECE2004-59742
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