Unmanned Aerial Vehicles Fleet Control via Artificial Bee Colony Algorithm

This paper considers a distributed planner method for multiple unmanned aerial vehicles (UAV), based on a leaderless approach, using an Artificial Bee Colony (ABC) optimization algorithm. The ABC algorithm is a metaheuristic optimization method inspired by the intelligent behavior of the honeybee swarm. The proposed ABC, implemented on each UAV independently, is used to compute velocity profiles that avoid obstacles and collisions between the UAVs while ensuring the fleet formation control and the target tracking. The proposed algorithm is demonstrated by simulations on Matlab/Simulink in different scenarios.