Solving capacitated vehicle routing problem using intelligent water drops algorithm

A. Wedyan, A. Narayanan
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引用次数: 5

Abstract

The Capacitated Vehicle Routing Problem (CVRP) is a well-known NP-hard problem of importance to real life applications such as transportation and logistics. The CVRP finds the best set of paths between a specific number of customers to deliver goods by a number of vehicles with a fixed capacity. In this paper, we apply a new nature inspired optimization algorithm called Intelligent Water Drops (IWD) inspired by water flow. The results of this IWD approach are compared against a classical approach and show that IWD algorithm gives optimal and near optimal solutions for some CVRP instances.
用智能水滴算法求解有容车辆路径问题
有能力车辆路径问题(CVRP)是一个众所周知的np困难问题,在交通和物流等现实应用中具有重要意义。CVRP找到特定数量的客户之间的最佳路径集,通过一定数量的固定容量的车辆来运送货物。本文采用了一种新的受自然启发的优化算法——受水流启发的智能水滴优化算法(IWD)。将该方法与经典方法进行了比较,结果表明,对于一些CVRP实例,IWD算法给出了最优解和近似最优解。
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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