Analysis of Evolutional Algorithms for and their Integration to Unmanned Aerial Vehicles
Davronov Shokhjakhon Rizamat ugliDoctor of Philosophy in Technical Sciences, Associate Professor of the Department of Software of Information Technology, Karshi branch of the Tashkent University of Information Technology named after Muhammad al-KhwarizmiShadiev Rizamat DavranovichProfessor, Head of Department, Karshi State UniversityTuganov Gafurdjan ShokirovichInstitute of Aviation Medicine
2024en
Ochiq kirishOlmos
ABI
Annotatsiya
The article discusses the basic concepts of a genetic algorithm and its components. Processes such as crossover selection and mutation are considered. In addition, a review of the works of scientists is provided, where the capabilities of genetic algorithms are actively used. The article discusses works that study image clustering using a genetic algorithm and the application of genetic algorithms to solve the problem of aircraft arrival scheduling in systems with multiple runways. The types of military unmanned aerial vehicles are also given and the advantages of using genetic algorithms in them are discussed.
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