Electric vehicles are already a reality in many cities around the world. However, the penetration of the electric vehicle depends on several factors, including the existence of an adequate network of charging stations. This article aims to address this problem by defining a multi-agent system (MAS) that collects information about the state of a city and proposes different configurations for the location of charging stations. More specifically, the proposed system integrates information from heterogeneous data sources and applies a genetic algorithm to characterize the areas where charging stations could potentially be located. The system has been tested with real information from the city of Valencia (Spain).
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