Study on the fuzzy travel time vehicle routing problem based on the improved ant colony algorithm

摘要

Vehicle routing problem was an important study element of logistics management, which solved effectively, can not only reduce distribution costs, but also increase the responsiveness speed for individuation requirement of customer service quality and customer satisfaction for logistics and distribution service. Travel time directly impacts on customer satisfaction with the logistics and distribution services. Vehicle routing problem with fuzzy travel time should consider the impact of ambiguous appointed time on customer satisfaction. We integrate multiple objective functions based on the tlinear weighted method, and analyze result of the improved ant colony algorithm parameters through an example.