UAV-NavS: Three-Dimensional Navigation System of Multiple Unmanned Aerial Vehicles Using Hybrid Optimization Algorithm

This paper proposes a hybrid approach for multiple Unmanned Aerial Vehicle navigation. This is an NP-hard problem since the robots must find the optimal safe path without colliding with other robots and obstacles in a three-dimensional search space. The proposed approach enhances the exploration capabilities of the whale optimization algorithm. Then, it hybridises this improved whale optimization algorithm with the sine cosine algorithm to improve the overall exploitation capabilities. The efficiency of the proposed hybrid approach is compared with other meta-heuristic algorithms for multi-UAV navigation. Results obtained through simulation ensure the validity of the proposed approach.