Analysis of Evolutional Algorithms for and their Integration to Unmanned Aerial Vehicles

Abstract

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.