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Improved algorithm using generalised flows for an optimisation problem in a cash flow network

机译:使用通用流解决现金流网络优化问题的改进算法

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We consider a cash-flow optimisation problem for the cash management method proposed by Golden et al. One of the important objectives of a company is to maximise the total cash at the final term in the network, with the constraints that the total cash supply meets the total demand and some money is invested at each term j= 1,2,...,n, where n is the number of terms run by the company. Golden et al. formulated this as a flow problem with gains or losses in a cash flow network, and they gave an algorithm for finding the optimal flow in the network. This algorithm is not necessarily efficient from a computational complexity point of view. The three main results of this paper are as follows: 1) we propose an efficient algorithm for this optimisation problem; 2) we point out close relations between the optimisation of cash flow and the generalised flow problem with gains or losses; 3) we improve an algorithm that we developed in an earlier study. Our proposed algorithm runs in O(n(min{n,i~*})~2) time where i~* > 0 is an integer calculated from a given instance. The complexity is strongly polynomial, which implies that the computation time depends on only the structure of the underlying graph of the cash flow network. Our algorithm can be directly applied to the cash flow management of a real industry, such as an agricultural business.
机译:我们考虑了Golden等人提出的现金管理方法的现金流量优化问题。公司的重要目标之一是在网络的最后一项中使总现金最大化,但要满足以下条件:总现金供应量满足总需求,并且在每一项中都投入一定的资金j = 1,2,.。 。,n,其中n是公司运行的条款数。黄金等。将其描述为现金流量网络中具有收益或损失的流量问题,他们给出了一种算法,用于寻找网络中的最佳流量。从计算复杂度的角度来看,该算法不一定有效。本文的三个主要结果如下:1)针对该优化问题提出了一种有效的算法; 2)我们指出了现金流量的优化与带有收益或损失的广义流动问题之间的密切关系; 3)我们改进了先前研究中开发的算法。我们提出的算法在O(n(min {n,i〜*})〜2)时间运行,其中i〜*> 0是根据给定实例计算的整数。复杂度是强多项式,这意味着计算时间仅取决于现金流量网络的基础图的结构。我们的算法可以直接应用于实际行业的现金流量管理,例如农业业务。

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