Transport Planning of Supplies Using Genetic Algorithms Under Consideration For Roads of Plural Vehicles

Abstract

The first, the scheduling of this research introduced a genetic algorithm and a fuzzy theory to this scheduling, and describe how to display the best route obtained from that. Second, when multi-transport vehicles are taken into consideration, from the mesh map, the area maps which integrated some mesh data with a certain fixed size are created, and transportation scheduling assigns the area maps to multi-transport vehicles. From results of the fuzzy scheduling and the simulations, we discuss the usefulness of this method.