人工智能采用的山地攀岩方法利用信息系统寻找最短的路线

Sestri Novia Rizki, Yopy Mardiansyah
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引用次数: 0

摘要

搜索通常用于搜索最短的路线,爬坡法是使用启发式函数的测试的一部分。经常遇到的问题是以计算距离的错误计算的形式出现的,以至于需要很长的距离,花费很多,需要很长的时间。为了解决这种情况,可以通过从要通过的点的两侧观察城市点来制作结构图来解决。使用算法可以帮助更容易地找到一个位置,节省时间和旅行成本。这样做的好处是,所有的点都会从左右两侧逐一获得和检查,从而获得有效和最大的结果。将使用的爬山方法以地理信息系统的概念为指导,并作为决策系统使用。启发式搜索法是一种常用的寻路方法
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Artificial Intelegence Pemanfaatan Metode Hill Climbing Mencari Lintasan Terpendek Objek Wisata Menggunakan sistem Informasi
The search is often used to search for the shortest route, the Hill Climbing Method is a part of the test that uses heuristic functions. The problem that is often encountered is in the form of miscalculations in calculating the distance so that it requires long distances, costs a lot and takes a very long time. To solve this case, it can be solved by making a structure graph by looking at the city points from the two sides of the point to be passed. Using an algorithm can help make it easier to find a location and save time and travel costs that will be passed. This advantage is that all points will be obtained and checked from the right and left sides one by one so as to obtain effective and maximum results. The Hill Climbing method that will be used has the concept of a geographic information system as a guide and is used as a system for decision making. The heuristic search method is one of the methods commonly used in finding a way
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