使用动态编程的旅行推销员问题

Anosike Joseph Ugonna, Amagoh Maureen Nkechi, Orumie, Ukamaka Cynthia
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引用次数: 0

摘要

在运筹学和计算机科学领域,旅行推销员问题(又称 TSP)是一个经典的算法问题。动态编程是解决 TSP 的一种方法,它能以尽可能低的成本确定最优路径。它首先确定两点之间的最短路径,然后扩展到确定通往其他地点的路径。为了解决旅行推销员问题,本研究采用了动态编程作为一种求解技术。除了 AM-EXPRESS NIGERIA LIMITED 的实际应用外,还考虑到了旅行推销员难题的示例,并利用动态编程技术进行了处理。研究结果表明,提供物流服务所需的最少资金为 6500 美元,并找到了可能的最短路径或路线。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Travel Salesman Problem Using Dynamic Programming
In the fields of operations research and computer science, the traveling salesman problem (also known as TSP) is a classic algorithmic issue. One method for solving TSP is dynamic programming, which identifies the optimal path at the lowest possible cost. It starts by determining the shortest path between two points, and then it expands to identify routes to other sites. In order to solve the Travel salesman Problem, Dynamic Programming was used in this study as a a solution technique. In addition to a real-world application from AM-EXPRESS NIGERIA LIMITED, illustrative examples of travel salesman difficulties were taken into consideration and handled utilizing the dynamic programming technique. The finding's outcome showed that the least amount of money needed to provide logistical services is ₦6500, and the shortest possible paths or routes were found.
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