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An Adaptive Controller for Real-Time Resolution of the Vehicle Routing Problem

机译:一种自适应控制器,用于车辆路由问题的实时分辨率

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The Vehicle Routing Problem (VRP) is a mathematical model that closely approximates the real-world problems freight companies must deal with on a daily basis. Given the dynamic nature of these problems, VRP can have different levels of constraints and consequently many varied solving techniques. Different constraints on the VRP such as time constraints or the number of vehicles in a fleet, has brought about a need for tailor-made algorithms. Many hybrid techniques to solve the VRP have been established [1-3]. The success of these multiple strategy procedures on different types of problems and the underlining evidence that no one method has shown superiority in solving various versions of this problem has led to the investigation of an Adaptive Controller for resolving the VRP.
机译:车辆路由问题(VRP)是一个与日常运输公司必须处理的现实世界问题密切近似的数学模型。鉴于这些问题的动态性质,VRP可以具有不同的约束级别,因此许多变化的求解技术。对VRP的不同约束,如时间限制或车辆中的车辆数量,所带来了对量身定制的算法的需求。已经建立了许多解决VRP的混合动力技术[1-3]。这些多种策略程序在不同类型的问题上的成功和下划线证据表明,没有一种方法在解决各种版本的解决方案中,这导致了用于解决VRP的自适应控制器的调查。

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