Route Optimization with Q-learning

Due to increasing energy requirement the consideration of route determination is becoming important. The aim of this project is to find optimum result considering its important criteria. In this work, Geographic Information System (GIS) based energy transmission route optimization had been performed. In this optimization, using Multiagent Systems which is subdirectory of Distributed Artificial Intelligence the criteria affecting energy transmission line had been severally analyzed. The application had been actualized on the Selcuk University Campus Area. Therefore the digital map of the campus area particularly had been composed containing of relevant criteria. Using Q-learning Algorithm of Multiagent System the optimum route had been determined.