Particle Swarm Optimization (PSO) algorithm for solving multiple Nash equilibrium solutions of bimatrix game is presented in this paper.
提出了一种求解双矩阵对策多重纳什均衡解的粒子群优化算法。
In this paper, the preferences on stochastic payoffs are defined by quantiles, and the Nash equilibrium of the bimatrix game with stochastic payoffs is given base on the preferences.
首先,本文将引人中位数来定义随机支苟值的偏好,并在此偏好的基础上进一步定义带随机支付双矩阵博弈的纳什均衡。
In this paper, the preferences on stochastic payoffs are defined by quantiles, and the Nash equilibrium of the bimatrix game with stochastic payoffs is given base on the preferences.
首先,本文将引人中位数来定义随机支苟值的偏好,并在此偏好的基础上进一步定义带随机支付双矩阵博弈的纳什均衡。
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