Model of Using the Exhaustive Search Algorithm in Solving of Traveling Salesman Problem (TSP) on the Example of the Transport Network Optimization of Primorje-Gorski Kotar County (PGC)

Slavomir Vukmirovic, Z. Capko, A. Babic
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引用次数: 4

Abstract

This paper considers and presents a model of the use of an exhaustive search algorithm in solving problems of a salesman on the example of the transportation network optimization of Primorsko Goranska County. By identifying the suboptimal solutions of transportation network, that enable insight into more transportation routes and can be significantly influenced by the reduction of transportation costs and creating increased opportunities for the carrier in the context of flexible designing the structure of the commodity flows, greater utilization of transport capacity, and thus achieve greater profit. In the analyzed example, transportation network of Primorje-Gorski Kotar County (PGC) is divided into two sets (segment): 1) a set of cities (nodes) that are located (placed) on the same traffic direction (transportation route) that represents the optimal transportation route, and 2) a set of cities (nodes) that connect through a variety of transport relationships and that are included in the calculation by using the exhaustive search algorithm. In the example are also defined nodes that are common to both the two sets and that are connecting by the virtual transportation route in the spreadsheet optimization model.
穷尽搜索算法求解旅行商问题(TSP)的模型——以滨海戈尔斯基-科塔尔县(PGC)交通网络优化为例
本文以Primorsko Goranska县的交通网络优化为例,研究并提出了一个用穷举搜索算法求解销售问题的模型。通过识别运输网络的次优解决方案,可以洞察更多的运输路线,并且可以显著影响运输成本的降低,并在灵活设计商品流结构的背景下为承运人创造更多的机会,更好地利用运输能力,从而实现更大的利润。在分析的示例中,将primorye - gorski Kotar县(PGC)的交通网络分为两组(segment): 1)位于(放置)同一交通方向(交通路线)上代表最优交通路线的一组城市(节点);2)通过各种交通关系连接的一组城市(节点),使用穷举搜索算法将其包含在计算中。在本例中,还定义了两个集合共有的节点,它们通过电子表格优化模型中的虚拟运输路线连接。
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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