Comparativa entre métodos de enrutamiento: algoritmo genético modificado, Waze y Google Maps

Abstract

Currently organizations have to deal with the problem of generating optimal routes, both distribution and delivery, either raw materials or finished products, not only to save resources for these activities, but to generate a greater value perceived by the customer. Through the delivery time and thus achieve a greater competitive advantage, the problem that is generated is knowing which of the different methods that exist is the optimum. In this essay we describe the different routing methods that exist, taking as a point of comparison three of them: Modified Genetic Algorithm of Chu-Bealsey, Google Maps and Waze. Which were applied in a real environment, allowing data collection and reaching the conclusion of which is the best.