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Applications of the Heuristic Optimization Approach for Determining a Maximum Flow Problem Based on the Graphs’ Theory

机译:启发式优化方法基于图形理论确定最大流量问题的应用

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In the present paper, a universal approach for determining the maximum flow problem in directed graph for solving different problems is applied. It can be considered as a heuristic and it can be used as a denomination for analyzing an arbitrary system with a mathematical description as a directed graph. The physical nature of the flows passing through the arcs of the system considered can be energy, information, transportation, or material. Then the studied system will be power, communication, transport, or manufacturing, respectively. In the present article five types of maximum flow problems are considered. Each of them is solved analytically by the universal heuristic method. The common between these problems is expressed in the fact that its behavior can be presented with the same mathematical model in the form of a directed graph including one initial (pending) vertex and one final (blocked) vertex, respectively. These vertexes are called either real (if they exist) or fictive (if they are introduced additionally) source and receiver depending on the topology of the associated directed graph’s model. The final solution obtained with this approach for Problem 1 is compared with the similar one found through Ford-Fulkerson’s, Edmonds-Karp’s and Dinic’s algorithms and it has been shown to be better than those determined by them.
机译:在本文中,应用了用于确定用于解决不同问题的引导图中的最大流量问题的通用方法。它可以被认为是启发式,它可以用作用于分析具有数学描述作为定向图的任意系统的面额。通过系统的弧形的流动的物理性质可以是能量,信息,运输或材料。然后,研究的系统将分别为电源,通信,运输或制造。在本文中,考虑了五种类型的最大流量问题。每个人都通过通用启发式方法进行分析解决。这些问题之间的常见是表示其行为可以以相同的数学模型以具有一个初始(未决的)顶点和一个最终(被阻塞的)顶点的指向图的形式呈现。根据相关指示图模型的拓扑,这些顶点被称为真实(如果存在)或虚构(如果另外介绍)源和接收器)。通过这种问题1方法获得的最终解决方案与通过Ford-Fulkerson,Edmonds-Karp和Dinic的算法发现的类似人进行比较,并且已被证明比由它们决定的那些更好。

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