UAV Trajectory Planning Based On Cuttlefish Optimization Algorithm

Cuttlefish Algorithem is a new meta-heuristic bio-inspired optimization method.An algorithm of UAV trajectory planning based on cuttlefish algorithm in this paper.The probabilistic map is used to model the battlefield environment,which is a good way to describe kinds of threat sources by probability distribution functions.Compared with traditional heuristic algorithm,the cuttlefish algorithm has quicker speed of convergence.The proposed algorithm can reduce the planning space of probabilistic map effectively,decrease the search range of trajectory planning and shorten computing time.The experiment result demonstrated that the proposed algorithm met the requirements of UAV trajectory planning better than the traditional probabilistic map trajectory planning.Therefore,this paper focuses on the study of UAV path planning based on squid optimization algorithm.The main contents and achievements are as follows:i.A new UAV trajectory planning algorithm is proposed by combining the cuttlefish optimization algorithm with the probabilistic threat map,and the algorithm is compared with the traditional A * algorithm based UAV trajectory in different simulation scenarios Planning algorithm is experimentally contrasted.Through the comparison and analysis of the experimental results,the feasibility and advantages of the proposed algorithm are verified.ii.Analyze the parameters in the simulating process of cuttlefish optimization algorithm,study the influence of parameters on the results of UAV trajectory planning,and determine the appropriate parameters to ensure the ideal result of UAV trajectory planning..Aiming at the cuttlefish optimization algorithm in the simulation process of the layers of cells were stratified analysis,and to improve this.The improved algorithm is compared with the original cuttlefish optimization algorithm,and the improved algorithm is proved to be excellent.iii.Hardware experiments were carried out on the flight platform integrated with the M100 unmanned aerial vehicle and the Manifold embedded development board.The feasibility of the cuttlefish optimization algorithm in UAV flight path planning is verified by hardware experiments.