The New Methodology for Long-Haul Time Dependent Vehicular Network

This work aims to propose a new methodology for the vehicular network. In this work, long-haul transportation with time dependent is investigated. The fuzzy technique, local search method and greedy selection method are combined into the artificial bee colony algorithm. Effective customers' location networks are constructed in order to minimize the overall distance. The proposed algorithm is tested on the dataset which customer service times are wide and serviced by the vast vehicles. The results from the proposed algorithm are shown in comparison with other algorithms in the literature. The findings from the computational results are very encouraging, it shows that the algorithm is very competitive to the best solution for all testing problem instances.