An Algorithm for the Fuzzy Maximum Flow Problem

F. Hernandes, M. T. Lamata, M. Takahashi, A. Yamakami, J. Verdegay
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引用次数: 15

Abstract

The problem of finding the maximum flow between a source and a destination node in a network with uncertainties in its capacities is an important problem of network flows, since it has a wide range of applications in different areas (telecommunications, transportations, manufacturing, etc) and therefore deserves special attention. However, due to complexity in working with this kind of problems, there are a few algorithms in literature, which demand that the user informs the desirable maximum flow, which is difficult when the network is the large scale. In this paper, an algorithm based on the classic algorithm of Ford-Fulkerson is proposed. The algorithm uses the technique of the incremental graph and it does not request that the decisionmaker informs the desirable flow, in contrast of the main works of literature. The uncertainties of the parameters are resolved using the fuzzy sets theory.
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模糊最大流问题的一种算法
在容量不确定的网络中,寻找源节点和目的节点之间的最大流量问题是网络流的一个重要问题,因为它在不同领域(电信、运输、制造等)有着广泛的应用,因此值得特别关注。然而,由于处理此类问题的复杂性,文献中有一些算法要求用户告知期望的最大流量,这在网络规模较大时是困难的。本文在经典Ford-Fulkerson算法的基础上,提出了一种新的算法。该算法采用增量图技术,不要求决策者告知理想的流程,这与文献中的主要作品形成了对比。利用模糊集理论解决了参数的不确定性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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