An Adapted Genetic Algorithm for Vehicle Routing Problem Confronting Uncertainty

During the past decade, there have been tremendous efforts on the concept of supply chain such as Vehicle Routing Problem (VRP). VRP is normally formulated as a mixed integer problem. However, exact solution often cannot be found for large scale problems when some of the parameters are under uncertainty. In the paper, an application of a genetic algorithm is considered to solve the VRP which serves customers with uncertain demand

کلیدواژه ها:

Vehicle Routing Problem ، Robust Optimization ، Heuristic methods ، Genetic Algorithm ، Demand uncertainty