本文将 Monte Carlo 方法的基本思想用于规划决策,提出一种能用于多因素规划决策的通用数值解法,分析了求解精度与搜索次数之间的关系。最后以一个全局最优化问题为例,这个例子中有八个决策变量,十六个边界约束,四个复杂非线性不等式约束,一个超越目标函数,给出了它的具体程序和计算结果,并讨论了用这种方法进行计算机辅助决策时的几个问题。 In this paper, the basic idea of ​​Monte Carlo method is used for planning decision-making. A general numerical method which can be used in decision-making of multi-factor programming is proposed. The relationship between solving accuracy and searching times is analyzed. Finally, a global optimization problem is taken as an example. In this example, there are eight decision variables, sixteen boundary constraints and four complex nonlinear inequality constraints. One goes beyond the objective function and gives its concrete procedure and calculation results. Several problems when using this method for computer-assisted decision making are discussed.