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Project duration planning method based on the combination use genetic algorithm and Monte Carlo simulation

机译:基于组合使用遗传算法和蒙特卡罗模拟的项目持续时间规划方法

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This paper proposes a new method to plan the project durations that are modeled as stochastic networks such as GERT network. Since stochastic networks have a variable time and a branching probability for each arrow, the total duration of the network is also modeled as a variable. In order to complete the project by the desired date with a certain confidence, the variable times or branching probabilities of the network should be designed appropriately. We will propose a planning method for branching probabilities to realize the desired project duration using GA and Monte Carlo simulation.
机译:本文提出了一种规划作为随机网络(如GERT网络)建模的项目持续的新方法。由于随机网络具有每个箭头的变量和分支概率,因此网络的总持续时间也被建模为变量。为了通过一定的置信度完成所需日期来完成项目,应该适当地设计网络的可变时间或网络的分支概率。我们将提出一种规划方法,用于使用GA和蒙特卡罗模拟实现所需的项目持续时间。

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