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Off-line computation of Stackelberg solutions with the genetic algorithm

机译:基于遗传算法的Stackelberg解决方案的离线计算

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The paper studies off-line computation of the Stackelberg solution in a repeated game framework, utilizing the Genetic Algorithm. Simulations are conducted with a numerical linear quadratic example and a Fish War game example. Furthermore, it is shown that an evolutionary mutation probability is preferable to a fixed one as usually assumed.
机译:利用遗传算法,本文在重复的游戏框架中脱离线路计算堆栈策划解决方案。用数值线性二次示例和鱼类战争游戏示例进行仿真。此外,示出了通常假设的固定突变概率优选进化突变概率。

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