A-Star算法的实现来确定马郎最近的旅游目的地

Riyan Fahmi Syihabuddin, M. N. Jauhari, Muhammad Khudzaifah, Hisyam Fahmi
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引用次数: 0

摘要

旅行是每个人从每天的忙碌中放松心灵的需要之一。玛琅是东爪哇的一个城市,是旅游的首选。这个城市大约有43个旅游目的地。通常,游客不仅想参观一个地方,而且想参观几个地方。协助他们决定先去哪些目的地,使行程更有效。本研究中最短的搜索过程使用了A-Star算法,这是一种真正考虑启发式价值的BFS算法。测试最短路线的过程是通过选择一个起点,然后选择几个旅游地点来完成的。接下来,在每个目的地使用a星算法搜索最短的路线,然后首先访问哪个目的地。以此类推,直到最终目的地。路线的有效性,包括与谷歌地图提供的路线进行比较。基于对多个综合目的地的30次实验结果,A-Star算法的平均路线搜索时间比google地图短44.17%。这是由于算法的唯一性,每个目的地都有一个启发式值和选择,从而使路径更有效。
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Implementasi Algoritma A-Star dalam Menentukan Rute Terpendek Destinasi Wisata Kota Malang
Traveling is one of the needs of everyone to relax the mind from the busyness that is lived every day. One of the cities in East Java which is a prima donna for traveling is Malang. The city has approximately 43 tourist destinations. Usually, tourists who want to visit not only one place, but several places. generate assistance in deciding which destinations to visit first in order for their trip to be effective. The shortest search process in this study uses the A-Star Algorithm, one of the BFS algorithms which in the process really considers the heuristic value. The process of testing the shortest route is done by selecting a starting point, then selecting several tourist locations. Next, the shortest route will be searched using the A-star algorithm at each destination, then which destination will be visited first. And so on until the final destination. The effectiveness of the route which involves comparison with the route presented by google maps. Based on the results of 30 experiments on several comprehensive destinations, it was found that the average route search using the A-Star algorithm was 44.17% shorter than that presented on google maps. This is due to the uniqueness of the algorithm in which there is a heuristic value and selection for each destination so as to make the route more effective.
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