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首页> 外文期刊>International journal of productivity and quality management >Finding the shortest route surveying through proposed genetic algorithm
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Finding the shortest route surveying through proposed genetic algorithm

机译：通过提出的遗传算法找到最短的路线测量

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Surveying has long been one of the techniques used by human beings to determine the limits of lands. Today, this science is witnessed in all engineering tasks. The main objective of surveying is to determine the relative position of points on land surface or close to it. To survey on area, the distance between the existing lands must be covered. This paper intends to locate a tree in the area so that the shortest route may be covered. Therefore, the satellite map of the area is studied prior to surveying and a graph, which involves five benchmarks and their distances, is attained. The minimum spanning tree between the locations is then obtained by means of metaheuristic genetic algorithm (GA). When the tree (i.e., route) is located, surveying of the area can be made via covering the shortest route, decreasing the surveying time and increasing its efficiency.
机译：长期以来，测量一直是人类用来确定土地范围的技术之一。如今，在所有工程任务中都见证了这一科学。勘测的主要目的是确定地面上或靠近地面的点的相对位置。要进行面积调查，必须涵盖现有土地之间的距离。本文打算在该区域中定位一棵树，以便覆盖最短的路线。因此，在测量之前先研究该地区的卫星地图，然后得出一个包含五个基准及其距离的图形。然后，通过元启发式遗传算法（GA）获得位置之间的最小生成树。当树（即路线）位于时，可以通过覆盖最短的路线，减少测量时间并提高其效率来进行区域的测量。

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