Online 3D path planning for Tri-copter drone using GWO-IBA algorithm

Path planning is a fundamental part of UAVs because the drone follows the path that leads it to goal with obstacle avoidance. [...]this paper proposes a hybrid algorithm (Grey Wolf Optimization -Intelligent Bug Algorithm GWO-IBA) to determine the best, shortest and without obstacles path. In sections three and four, a hybrid algorithm Grey Wolf Optimization-Intelligent Bug algorithm (GWO-IBA) was proposed to determine the best and shortest path with obstacles avoidance. In mathematical calculations of how to catch grey wolves, it was assumed that alpha, beta, and delta knew the possible location of prey. [...]the three best solutions are saved, and the other wolf group is obligated to update their positions according to the best research process, as shown in the following as shown in (7)-(13) [21]. In that case, the other algorithm works by drawing a path along with the barrier until it reaches the opposite side of the obstacle where the wolf algorithm can operate. [...]the flowchart is illustrated in Figure 4 how the algorithm works and defines it for the shortest path free of obstacles. 5.