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Genetic algorithm for a discrete-continuous project scheduling problem with discounted cash flows

机译:具有现金流量折现的离散连续项目调度问题的遗传算法

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In this paper a discrete-continuous project scheduling problem with discounted cash flows is considered. In discrete-continuous project scheduling activities require for their processing discrete and continuous resources. Processing rate of an activity is the same function of the amount of the continuous resource allotted to this activity at a time. A positive cash flow is associated with each activity. A common payment model — payments at activity completion times is considered. The objective is the maximization of the net present value of all cash flows of the project. An application of genetic algorithm is described, and the algorithm is computationally tested. Some conclusions as well as directions for future research are given.
机译:本文考虑了现金流量折现的离散连续项目调度问题。在离散连续项目中,调度活动需要处理离散和连续资源。活动的处理率与一次分配给该活动的连续资源量的函数相同。每个活动都与正现金流量相关。常见的付款模式-考虑在活动完成时付款。目的是使项目所有现金流量的净现值最大化。描述了遗传算法的一种应用,并对该算法进行了计算测试。给出了一些结论以及未来研究的方向。

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