An Exact Solution Framework for Multitrip Vehicle-Routing Problems with Time Windows

Exact Algorithms for Electric Vehicle-Routing Problems with Time Windows

Effective route planning for battery electric commercial vehicle (ECV) fleets has to take into account their limited autonomy and the possibility of visiting recharging stations during the course of a route. In this paper, we consider four variants of the electric vehicle-routing problem with time windows: (i) at most a single recharge per route is allowed, and batteries are fully recharged on ...

An Exact Algorithm for the Multitrip Vehicle Routing Problem

An Improved Hybrid Cuckoo Search Algorithm for Vehicle Routing Problem with Time Windows

Transportation in economic systems such as services, production and distribution enjoys a special and important position and provides a significant portion of the country's gross domestic product. Improvements in transportation system mean improvements in the traveling routes and the elimination of unnecessary distances in any system. The Vehicle Routing Problem (VRP) is one of the practical co...

An Milp Framework for Dynamic Vehicle Routing Problems with Time Windows

−− A key issue in logistics is the efficient management of a vehicle fleet servicing a set of customers with known demands. Every vehicle route must start and finish at the assigned depot, each customer is to be visited by a single vehicle and vehicle capacities must not be exceeded. These are the constraints for the capacitated vehicle routing problem (VRP) whose objective is usually the minim...

Competitive Vehicle Routing Problem with Time Windows and Stochastic Demands

The competitive vehicle routing problem is one of the important issues in transportation area. In this paper a new method for competitive VRP with time windows and stochastic demand is introduced. In the presented method a three time bounds are given and the probability of arrival time between each time bound is assumed to be uniform. The demands of each customer are different in each time wind...