Capacitated Vehicle Routing Problems: Nearest Neighbour vs. Tabu Search

I. Masudin, Risma F. Sa’diyah, D. M. Utama, D. Restuputri, F. Jie
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引用次数: 6

Abstract

The purpose of the Vehicle Routing Problem is to obtain a vehicle route with a minimum mileage in meeting customer demand according to their respective locations. One variant of the Vehicle Routing Problem (VRP) is the Capacitated Vehicle Routing Problem (CVRP), namely VRP with vehicle capacity constraints. Problems with Capacitated Vehicle Routing Problems (CVRP), can be solved by using the nearest neighbour and Tabu Search Algorithm. The step to complete the Tabu Search Algorithm begins with the determination of the initial solution using Nearest Neighbour, determining alternative solutions with exchange, namely to move two points in the solution, evaluate alternative solutions with Tabu list, choose the best solution and set the optimum solution, update tabu list, then if the discharge criteria are met then the process stops and if not, then returns to the determination of alternative solutions. Based on the results of calculations using the Tabu Search Algorithm, the traveling distance is less about 10.01% than the nearest neighbor.
有能力车辆路径问题:最近邻与禁忌搜索
车辆路线问题的目的是根据客户各自的位置,获得满足客户需求的最小行驶里程的车辆路线。车辆路线问题(VRP)的一种变体是有能力车辆路线问题(CVRP),即有车辆容量约束的车辆路线问题。有能力车辆路径问题(CVRP)可以用最近邻算法和禁忌搜索算法来解决。完成禁忌搜索算法的步骤是从使用最近邻确定初始解开始,通过交换确定备选解,即在解中移动两个点,使用禁忌列表评估备选解,选择最佳解并设置最优解,更新禁忌列表,然后如果满足排放标准则停止进程,如果不满足则返回到确定备选解。根据禁忌搜索算法的计算结果,移动距离比最近的邻居少10.01%左右。
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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