Advanced Defensive Tactics: Integrating Simulation and Machine Learning in Aerial Warfare
Abstract
The study developed and evaluated the winding maneuver, a new defensive maneuver against threats, aimed at improving aircraft penetration into hostile territories against passive and semi-active surface-to-air missiles. The maneuver, based on navigation principles and evasive maneuvers, was simulated using the Aerospace Simulation Environment (ASA) software in combat scenarios. Data analysis involved experimental design, statistical testing, application of machine learning models, and optimization through metaheuristics. The results indicated that the winding maneuver significantly improves aircraft survival rates and mission success, as demonstrated by the Victory Capability Determinant (VCD) metric developed in the study. The optimized configuration of the maneuver, obtained using the Genetic Algorithm, was verified through new simulations, confirming its operational effectiveness.
Cite
@article{viscardi2024advanced, author = {Viscardi Filho, Mario and Dantas, Joao P. A. and Geraldo, Diego and Passaro, Angelo}, title = {{Advanced Defensive Tactics: Integrating Simulation and Machine Learning in Aerial Warfare}}, journal = {Spectrum: The Journal of Operational Applications in Defense Areas}, volume = {25}, number = {1}, pages = {12--17}, year = {2024}, doi = {10.55972/spectrum.v25i1.403}, url = {https://doi.org/10.55972/spectrum.v25i1.403} }