@inproceedings{8f2ef811a8ae4d0d86e61e7c2bc9ed1c,
title = "UAV Number Optimal Recombination as an Air Transport Technologies Resource-Element",
abstract = "The presented study is dedicated to the case of the airline's optimal resources recombination. The airline, owning UAVs, deploys the aircraft number optimally in accordance with the maximal value of the individuals, preferences subjective entropy. The air transport technologies' elements (aircraft) optimal deployment meets the linear programming solution which proves the correctness of the proposed approach application. The subjective analysis illustration shows the maximum of the objective function (profit) in a prospective case and in a nonlinear manner. This allows to judge how much the optimal solution better is and in a cognitively perceptible form. The necessary computer simulation is conducted and corresponding diagrams are plotted.",
keywords = "air transport, maximum, objective functional, optimization, preferences, profit, recombination, resource, subjective entropy, technology, unmanned aerial vehicle",
author = "Goncharenko, \{A. V.\} and Iliushyn, \{V. V.\}",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 7th IEEE International Conference on Actual Problems of Unmanned Aerial Vehicles Development, APUAVD 2024 ; Conference date: 22-10-2024 Through 24-10-2024",
year = "2024",
doi = "10.1109/APUAVD64488.2024.10765899",
language = "英语",
series = "2024 IEEE 7th International Conference on Actual Problems of Unmanned Aerial Vehicles Development, APUAVD 2024 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "155--158",
booktitle = "2024 IEEE 7th International Conference on Actual Problems of Unmanned Aerial Vehicles Development, APUAVD 2024 - Proceedings",
}