ДОСЛІДЖЕННЯ МЕТОДУ РОЙОВОГО ІНТЕЛЕКТУ ДЛЯ БАГАТОПАРАМЕТРИЧНИХ ЗАДАЧ

In this thesis, the relevant topic of using unmanned aerial vehicles (UAVs) in the conditions of modern conflicts is explored. The main focus is on the development and improvement of swarm algorithms for autonomous drones capable of efficiently performing reconnaissance and combat tasks in uncertain conditions. A significant portion of the work is devoted to the mathematical formalization of the task at hand and the development of an efficient algorithm based on a modified ant colony method.