Implementation of the Bees Algorithm for UAV Mission Plan
Anubhab Dasgupta, Vedant Zope, Asrul Harun Ismail · Engineering headway · 2025
The increasing use of Unmanned Aerial Vehicles (UAVs) in various applications, such as military operations and civilian tasks, has created a demand for efficient algorithms to plan their mission. This study explores the use of the Bees Algorithm (BA), a nature-inspired optimisation method, to solve two main problems in UAV mission planning: the UAV collision avoidance problem (UCAP) and the Asymmetric TSP (ATSP). Results of comparison between the proposed algorithm and other metaheuristic algorithms indicate that BA can produce competitive solutions. However, the study also found that the BA had a deviation of 10% on ATSP instances, whereas it was able to achieve similar deviation when solving symmetrical TSP of 200 dimensions. This highlights the need for further improvement of the neighbour search mechanism in the BA for better accuracy on the problems.