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Single/two-objective aerodynamic shape optimization by a Stackelberg/adjoint method

机译:Stackelberg /伴随方法的单/双目标空气动力学优化

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摘要

In this article, the Stackelberg game strategy is coupled with the adjoint method and applied in single-objective and two-objective aerodynamic shape optimizations. In the proposed method, two types of player (leader and follower) are involved, and each of these players is responsible for the optimization of one objective function by adjusting a subset of design variables. A Stackelberg equilibrium is reached when the leader cannot improve his/her objective function further. Note that the success of the proposed method is highly dependent on the choice of a few influential factors, including the maximal number of iterations for each player, the splitting and mapping schemes of design variables, and the allocation strategies of objective functions to different players. Therefore, the impacts of these factors are firstly assessed by a two-objective optimization case of the NACA0012 airfoil, and some useful inferences are produced for the choice of these factors. After that, single-objective and two-objective aerodynamic optimizations of the RAE2822 airfoil and the ONERA M6 wing are conducted to verify the usefulness of these inferences, and to validate the efficiency and effectiveness of the proposed method in optimization problems with a complex numerical model or a large number of design variables.
机译:在本文中,Stackelberg游戏策略与伴随方法耦合并应用于单目标和双目标空气动力形状优化。在所提出的方法中,涉及两种类型的玩家(领导者和追随者),并且这些玩家中的每一个通过调整设计变量的子集来优化一个客观函数。当领导者进一步无法改善他/她的目标函数时,达到了一个Stackelberg均衡。注意,所提出的方法的成功高度依赖于选择几个有影响因素的选择,包括每个玩家的最大迭代次数,设计变量的分裂和映射方案,以及对不同玩家的客观函数的分配策略。因此,首先通过NaCA0012翼型的双目标优化情况进行评估这些因素的影响,并且为这些因素选择了一些有用的推论。之后,进行RAE2822翼型的单目标和双目标空气动力学优化和ONERA M6机翼以验证这些推断的有用性,并验证所提出的方法在优化问题中的效率和有效性与复杂的数值模型或大量的设计变量。

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