Research on optimization of UAV patrol inspection path planning for the intelligent warehouse
Yi Ding, Lisha Zhang, Ge Song · 2023
The Unmanned Aerial Vehicle (UAV) inspection path planning for intelligent warehouse is a typical indoor path planning technology. Through the UAV intelligent inspection of each work area in the intelligent warehouse and workshop, we can solve some issues occurred in the work area timely. In order to solve the problem of path planning efficiently, an improved hybrid optimization algorithm is proposed to minimize the inspection path, which combines intelligent optimization algorithms of particle swarm optimization and genetic algorithm. By optimizing the structure of the genetic algorithm and finding the optimal parameter combination, it is easier to converge to the shortest path for the intelligent warehouse. Simulation results show that, compared with the traditional algorithms, the convergence ability of the optimized hybrid algorithm has been greatly improved, which has also been verified.