IMPLEMENTATION OF DIJKSTRA'S ALGORITHM IN DETERMINING THE SHORTEST PATH (CASE STUDY: SPECIALIST DOCTOR SEARCH IN BANDAR LAMPUNG)

Rakhmat Dedi Gunawan, Riduwan Napianto, Rohmat Indra Borman, I. Hanifah
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引用次数: 9

Abstract

The shortest route from a trip will shorten the travel time. Likewise, in the case of the search for specialists. In the search for a specialist the community must come to the health service to ask for specialist information needed. The shortest path is a problem to find the path between two or more vertices in the minimum numbered weighted graph. To make it easier to solve the shortest path problems, a search algorithm is needed. The algorithm that is commonly used in solving problems in finding the shortest path or path is Dijkstra's algorithm. The basic idea of Dijkstra's own algorithm is to find the cost value closest to the destination that functions in a weighted graph. In this study, the Dijkstra algorithm finds the shortest path based on the smallest weight from one point to another, so that it can help provide path choices. Based on the trial of Dijkstra's algorithm, it has the ability to find the shortest path, because in the algorithm each graph is selected the side with the minimum weight that connects a selected node with another node that has not been selected.
DIJKSTRA算法在确定最短路径中的应用(以班达朗蓬的专科医生搜索为例)
最短的旅行路线会缩短旅行时间。同样,在寻找专家的情况下。在寻找专家的过程中,社区必须向卫生服务部门询问所需的专家信息。最短路径是在最小编号加权图中找到两个或多个顶点之间的路径的问题。为了更容易地解决最短路径问题,需要一种搜索算法。在求解最短路径或路径的问题时常用的算法是Dijkstra算法。Dijkstra自己的算法的基本思想是找到最接近加权图中的目的地的成本值。在这项研究中,Dijkstra算法根据从一点到另一点的最小权重找到最短路径,从而有助于提供路径选择。基于Dijkstra算法的试验,它能够找到最短路径,因为在该算法中,每个图都选择了连接选定节点和另一个未选定节点的具有最小权重的边。
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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