A Genetic Algorithm for Synchromodal Transportation Problem

This paper studies the concept of synchromodal freight transportation. A mathematical model which minimizes the total duration and the CO2 emissions is presented along with a metaheuristic approach using Genetic Algorithm (GA). The model is validated on the instances based on the Seine axis river in France, which has a multitude of inland waterways and terminals. The GA obtains optimal solutions for small-sized instances and provides good enough solutions with a low deviation from the best-known solution in larger instances.