Abdelhafid, SouadSayad, Lamri: supervisor2024-07-102024-07-102023-09https://dspace.univ-msila.dz/handle/123456789/43578This project explores the innovative concept of In-Flight Energy-Driven Composition of Drones to improve the capabilities and sustainability of unmanned aerial vehicles (UAVs). By harnessing renewable energy sources such as solar cells and using genetic algorithms in Python, the goal is to optimize the in-flight composition of drones, resulting in longer operational life, lower carbon emissions, and increased payload capacity.enUAVs (Unmanned Aerial Vehicles)Genetic AlgorithmsMATHEMATICS::Applied mathematics::Optimization, systems theoryThesis