Improvement scheme of vehicle routing for community group purchase based on adjustable orders

Firstly, this paper puts forward vehicle routing problem for community group purchase. Based on the order quantity and distance principle, screening some self-pickup points and assigns orders from these points to the other self-pickup points. Then taking the data of VRP(vehicle routing problem) benchmark as an example and the genetic algorithm is designed to solve VRP after adjusting the orders of self-pickup points. In addition, by sensitivity analysis of order quantity and distance, this paper studies the impact of changes in order quantity and distance standard on total distribution costs.