Geodesic
Intellectual ways of solving the problem of constructing the optimal route of an unmanned aerial vehicle in the conditions of counteraction
Žurnal Sibirskogo federalʹnogo universiteta. Matematika i fizika, Tome 15 (2022) no. 4, pp. 431-443

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Traditional and modern algorithms for solving the problem of planning the optimal route of an unmanned aerial vehicle under the influence of low-altitude air defense systems is presented in the paper. The principles of the methods, as well as, the tools used in them are described. Classical approaches of reinforcement learning and its modification using artificial neural networks are considered. The proposed algorithms are implemented and simulation with the use of these algorithms is carried out. A comparative analysis of the results is performed and conclusions about the effectiveness of the algorithms are presented.
Keywords: unmanned aerial vehicle, artificial neural network, reinforcement learning.
Mots-clés : information technologies, intelligent agent 
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     title = {Intellectual ways of solving the problem of constructing the optimal route of an unmanned aerial vehicle in the conditions of counteraction},
     journal = {\v{Z}urnal Sibirskogo federalʹnogo universiteta. Matematika i fizika},
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     language = {en},
     url = {http://geodesic.mathdoc.fr/item/JSFU_2022_15_4_a1/}
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Igor N. Ischuk; Bogdan K. Telnykh; Valeriy N. Tyapkin; Nikolay S. Kremez. Intellectual ways of solving the problem of constructing the optimal route of an unmanned aerial vehicle in the conditions of counteraction. Žurnal Sibirskogo federalʹnogo universiteta. Matematika i fizika, Tome 15 (2022) no. 4, pp. 431-443. http://geodesic.mathdoc.fr/item/JSFU_2022_15_4_a1/