Implementation of Finding Shortest Route for Pharmacy Location Using A-star Algorithm

F. P. Juniawan, Dwi Yuny Sylfania, Dini Agrina
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引用次数: 1

Abstract

The number of pharmacies in the Pangkalpinang City has increased rapidly. This is directly proportional to the needs of the people of Pangkalpinang City to fulfill the health needs, buy medicine or divert doctor's prescriptions. This is a debate for people who do not know the location of pharmacies in this city. Practically, people can just go to a pharmacy with a location that far from user location, even though there is a pharmacy near the user. This is because there is no pharmacy information location in the Pangkalpinang City. To solve this problem, proposed a system that can display the location of all pharmacies in the Pangkalpinang City. In addition, the system can search the shortest path from the user's location to the nearest pharmacy location around using the A * algorithm. This algorithm was chosen because its advantages that are able to produce optimal solutions according to the expected heuristic functions. The results of the testing are that the system can optimize and be able to search the shortest path from the user's location to the nearest pharmacy.
基于a星算法的药房选址最短路径的实现
Pangkalpinang市的药店数量迅速增加。这与邦卡尔比南市人民满足保健需求、购买药品或转移医生处方的需求成正比。这是一场针对不知道这个城市的药店位置的人的辩论。实际上,人们可以去离用户位置很远的药店,即使用户附近有药店。这是因为在Pangkalpinang市没有药房信息位置。为了解决这一问题,提出了一个可以显示邦加尔比南市所有药店位置的系统。此外,系统还可以使用A *算法搜索从用户所在位置到附近最近的药房位置的最短路径。该算法具有根据期望的启发式函数产生最优解的优点。测试结果表明,该系统可以优化并能够搜索从用户位置到最近药房的最短路径。
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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