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Solving Full-Vehicle-Mode Vehicle Routing Problems Using ACO

机译:使用ACO解决全车模式车辆路径问题

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The capacitated vehicle routing problem is a very classic but simple type of vehicle routing problem (VRP). There are variants of the VRP in practice based on different constraints which are called rich VRP (RVRP). In this article, variants of the VRP, including fixed vehicle types and dynamic vehicle type combinations are analyzed. An improved ant colony optimization (ACO) algorithm is designed to resolve this group of VRPs. The fixed vehicle type VRP, homogenous fleet VRP and heterogeneous fleet VRP are defined by one or multiple vehicle types in RVRP. Because of the evolution of transportation equipment, some new vehicle types such as truck and full trailer as well as tractor and semitrailer are introduced. The static and dynamic usages of different vehicle types vary with the business operations. We define this kind of VRPs as full-vehicle-mode (FVM) VRP in this paper. The associated ACO algorithm is developed to solve FVM-VRP problems. Computational experiments are performed and the results are presented to demonstrate the efficiency of the proposed algorithm.
机译:受限制的车辆路线问题是一种非常经典但简单的车辆路线问题(VRP)。实际上,基于不同的约束,VRP有多种变体,称为丰富VRP(RVRP)。在本文中,将分析VRP的变体,包括固定车辆类型和动态车辆类型组合。设计了一种改进的蚁群优化(ACO)算法来解决这组VRP。固定车辆类型VRP,同质车队VRP和异质车队VRP由RVRP中的一种或多种车辆类型定义。由于运输设备的发展,引入了一些新的车辆类型,例如卡车和全挂车以及牵引车和半挂车。不同车辆类型的静态和动态用法随业务运营而变化。在本文中,我们将这种VRP定义为全车模(FVM)VRP。开发了关联的ACO算法来解决FVM-VRP问题。进行了计算实验,并给出了结果以证明所提出算法的效率。

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