route optimization

Development of a Method for Optimal Selection of Unmanned Aerial Vehicle Flight Routes

This paper presents an in-depth study of innovative approaches to improving the methodology for flight planning of unmanned aerial vehicles (UAVs), particularly in the context of enhancing route planning efficiency under changing operational factors. For the first time, a comprehensive assessment of the effectiveness of choosing an optimal route among various developed options is conducted, sig- nificantly reducing the time and resources required to complete a mission.

Tourist route optimization with a combined A* algorithm and genetic algorithm

This article contributes to the optimization of routes and circuits, aiming to enhance the overall tourist experience in alignment with smart tourism objectives.  Employing advanced techniques and tools like A*, genetic algorithms, and geographic information systems, the study aims to propose highly efficient paths for city exploration and touristic attraction visits.  It outlines future projections in optimization tools, attempting to integrate artificial intelligence and machine learning technologies to create customized itineraries based on user preferences.  Acknowl