1 Department of Information Technology, Faculty of General Education, University of Labour and Social Affairs, No. 43, Tran Duy Hung Street, Trung Hoa Ward, Cau Giay District, Hanoi City, Vietnam.
2 Metrology Department, Faculty of Fundamental Technical, AD-AF Academy of Vietnam.
World Journal of Advanced Research and Reviews, 2024, 21(02), 616–623
Article DOI: 10.30574/wjarr.2024.21.1.0059
DOI url: https://doi.org/10.30574/wjarr.2024.21.1.0059
Received on 28 November 2023; revised on 06 January 2024; accepted on 08 January 2024
Unmanned Aerial Vehicles (UAVs) are increasingly demonstrating their superiority in air raids. Making accurate and effective coordinated attack decisions is one of the most important factors in ensuring victory in aerial combat involving drones. Therefore, optimizing joint attack decisions for UAVs is also garnering increasing attention. This article introduces a method of using genetic algorithms to determine the threat index and optimize target distribution and firepower.
Unmanned Aerial Vehicles; Genetic algorithms; Attacks; Air raids; Threat index; Target; Firepower
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Vuong Thuy Linh and Le Ngoc Giang. Optimization of attack coordination decisions for UAVs based on genetic algorithms. World Journal of Advanced Research and Reviews, 2024, 21(02), 616–623. Article DOI: https://doi.org/10.30574/wjarr.2024.21.1.0059
Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0