最优优先搜索算法在求解X市旅行商问题中的应用

Etza Nofarita Nofarita
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引用次数: 1

摘要

启发式搜索是人们在解决寻找最短路径问题时经常使用的一种方法,寻找最短路径来解决距离问题可以转换成一个图结构,其中点代表城市,边代表连接两个城市的路径。通用测试过程是用例测试中使用启发式函数的方法之一。在这种情况下,经常出现的问题是找到城市的最短路径和各种可用路径。这种方法的过程是以确定城市之间的距离的形式进行的,从它走了多远可以看出,这样它就可以采取另一种方法来找到最短的路径。解决这种情况的主要目的是寻找寻找最短路径的替代方法,并且在节省时间和成本方面有好处,从而获得最优结果。在通用和测试算法的使用可以作为一个信息系统在制定一个旅行路线。采用最佳优先搜索法在一般和测试中都可以用来搜索最短路径以获得最大结果
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Utilization of The Best First Search Algorithm in The Solution of The Traveling Salesman Problem Case In City X
The heuristic search is part of a method that is often used by people in solving the case of finding the shortest route, the search for the shortest path to solve the distance problem can be converted into a graph structure, where the point represents the city and the side represents the path that connects the two cities. The General and test process is one of the methods in which the case testing uses heuristic functions. The problem that often occurs in this case is to find the shortest path of a city and the various available paths. The process of this method is in the form of determining the distance between cities which can be seen from how far it is traveled so that it can take an alternative to find the shortest path. The main purpose of solving this case is to find alternative ways to find the shortest path and have benefits in saving time and costs so that optimal results are obtained. The use of algorithms in General and test can be used as an information system in making decisions on a travel route. The use of the best first search method in general and tests can be used to search for the shortest path to obtain maximum results
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