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Optimization reformulations of the generalized Nash equilibrium problem using Nikaido-Isoda-type functions

机译:使用Nikaido-Isoda型函数的广义Nash平衡问题的优化公式

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摘要

We consider the generalized Nash equilibrium problem which, in contrast to the standard Nash equilibrium problem, allows joint constraints of all players involved in the game. Using a regularized Nikaido-Isoda-function, we then present three optimization problems related to the generalized Nash equilibrium problem. The first optimization problem is a complete reformulation of the generalized Nash game in the sense that the global minima are precisely the solutions of the game. However, this reformulation is nonsmooth. We then modify this approach and obtain a smooth constrained optimization problem whose global minima correspond to so-called normalized Nash equilibria. The third approach uses the difference of two regularized Nikaido-Isoda-functions in order to get a smooth unconstrained optimization problem whose global minima are, once again, precisely the normalized Nash equilibria. Conditions for stationary points to be global minima of the two smooth optimization problems are also given. Some numerical results illustrate the behaviour of our approaches.
机译:我们考虑广义纳什均衡问题,与标准纳什均衡问题相反,纳什均衡问题允许游戏中所有参与者的共同约束。然后使用正则化的Nikaido-Isoda函数,提出与广义Nash平衡问题有关的三个优化问题。第一个优化问题是广义纳什博弈的完全重新表述,其意义是全局最小值恰好是博弈的解。然而,这种重新制定是不顺利的。然后,我们修改此方法,并获得一个光滑的约束优化问题,该问题的全局最小值对应于所谓的归一化Nash均衡。第三种方法使用两个正则化的Nikaido-Isoda函数的差,以获得光滑的无约束优化问题,该问题的全局最小值再次恰好是归一化的Nash均衡。给出了两个平稳优化问题的全局极小值的固定点的条件。一些数值结果说明了我们方法的行为。

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