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A Comparison of Exact Method - Metaheuristic Method in Determination for Vehicle Routing Problem

机译:基于车辆路径问题的精确方法 - 综合方法的比较

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This paper will address Vehicle Routing Problem with Time Windows (VRPTW) for single product. VRPTW is developed from its basic model called by Vehicle Routing Problem (VRP). VRP is utilized to determine route with minimum cost from depot to costumer which is spreading out of location with certain demand. In one way route must be end and start in depot. In one way route should not exceeded more than its vehicle capacity. This paper has two fold: first, modelling the algorithm of VRP with Time Windows constraint using Mixed Integer Linear Programming (MILP), and second development of Cross Entropy (CE) Algorithm to solve VRP. Algorithm will run with computational experiment Lingo 11 version for MILP and Matlab R201b for CE Algorithm. Then we will compare the result from computational experiment from both MILP and CE. Computational from CE results the initial solution almost the same from computational result for Exact Method (MILP).
机译:本文将在单个产品中与时间窗口(VRPTW)解决车辆路由问题。 VRPTW由其基本模型开发,由车辆路由问题(VRP)称为。 VRP用于确定具有最小成本的路线,从仓库到服装,这在具有某些需求的情况下散布。在一种方面,路由必须结束并从仓库开始。以一种方式,不应超过其车辆容量超过其车辆。本文具有两倍:首先,使用混合整数线性编程(MILP)和跨熵(CE)算法的第二开发来建模VRP算法,以及跨熵(CE)算法来解决VRP的第二开发。算法将使用计算实验Lingo 11版本用于CE算法的MILP和Matlab R201B。然后,我们将从MILP和CE的计算实验进行比较。从CE计算结果结果对于精确的方法(MILP),初始解决方案几乎与计算结果几乎相同。

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