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Chapter 14 A Metaheuristic Approach to Compute Pure Nash Equilibria

机译:第14章计算纯纳什均衡的元启发式方法

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A pure Nash equilibrium is a famous concept in the field of game theory and has a wide range of applications. In the last decade, a lot of progress has been made in determining the computational complexity of finding equilibria in games. Deciding if a pure Nash equilibrium exists in n-player normal form games and several subclasses has been shown to be NP-complete. Current exact approaches to compute them are impractical and only able to solve small instances. In this paper, we apply three local search-based metaheuristics for solving the problem. Results on 280 randomly generated instances with different sizes show the clear outperformance of the metaheuristic approaches over the exact method based on Mixed Integer Linear Programming.
机译:纯粹的纳什均衡是博弈论领域中一个著名的概念,具有广泛的应用。在过去的十年中,在确定游戏中寻找平衡点的计算复杂性方面取得了许多进展。确定n个玩家正常形式游戏中是否存在纯纳什均衡,并且已经证明几个子类是NP完全的。当前计算它们的精确方法是不切实际的,并且只能解决小实例。在本文中,我们应用了三种基于局部搜索的元启发式方法来解决该问题。在280个随机生成的大小不同的实例上的结果表明,与基于混合整数线性规划的精确方法相比,元启发式方法的明显优于其他方法。

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