救生快递——车辆路线中最短距离的发现

M. Hema, Kanaga Suba Raja, K. Valarmathi, D. Hema Ruba, Sv Abishyna, Kiruthiga Manivel
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引用次数: 0

摘要

在计算机领域研究路线优化的一个著名的例子是旅行推销员问题(TSP)。多年来,研究人员开发了各种算法来尝试求解TSP,但在产生最佳解时总是存在疑问。TSP适用于运输途径、交付服务、航班路线、旅客等许多方面,这意味着需要预先规划路线时间表,以确保执行优化的旅行。本文的目的是解决车辆路径的最优路径问题。目标是选择最好的路线,使快速到达目标的可能性最大化。为了包含一个最优路径,一个我生成的最优路径集。利用路径集可以很容易地找到最优路径。TSP是使用一种改进的优化算法来处理复杂和巨大的环境约束。TSP在复杂和巨大的环境约束下生成路线。TSP是一种在动态约束下提供短而安全路线的有效方法,其有效性已得到验证。
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Life Saving Express-Discovery The Shortest Distance In Vehicle Routing
One of the famous examples in the study of route optimization in the field of computers is Travelling Saleman Problem (TSP). Researches throughout the years various algorithms have been developed attempting to solve the TSP yet there is always doubt in producing the best solution. TSP applies in transportation pathways, delivery services, flight routes, travellers and many more which means there is a need for a pre-planned route schedule to ensure an optimized travelling has been performed. The aim of this paper is to solve the optimal path problem in vehicle routing. The goal is to choose the best route that maximises the likelihood of rapidly reaching the target.. In an attempt to include an optimal path, an optimal path set I’d generated. Using the path set the optimal path can be easily found. TSP is formulated using a modified optimization algorithm for handling complicated and vast environmental constraints. TSP generates routes in complicated and vast environmental constraints. The TSP is an effective technique for providing short and safe routes under dynamic restrictions and its efficiency has been experimented.
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