UNCERTAINTY BASED ROBUST OPTIMIZATION METHOD USING GRADIENT TECHNIQUE AND GAME STRATEGIES FOR DRAG M

来源 :The Second International Symposium on Physics of Fluids(第二届流 | 被引量 : 0次 | 上传用户:artec1
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  In this paper, the Taguchi robust design concept is combined with the multi-objective deterministic optimization method to overcome single piont optimization problems in Aerodynamics.The latter techniques produce solutions that perform well for the selected design point but have poor off-design performance.Here, we show how our approach can provide robust solutions using game theory in the sense that the solutions are as less insensitive to the uncertainty of the input parameters as possible.Starting from a statistical definition of stability, the method finds, Pareto non-dominated and Nash equilibrium solutions for performance and stability simultaneously.
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