Unmanned Aerial Vehicle Path Planning Method Based on Improved Artificial Bee Colony Algorithm
A path planning method based on improved artificial bee colony algorithm is proposed for unmanned aerial vehicles in complex three-dimensional unknown environments.Based on the traditional artificial bee colony algorithm,a normal model is introduced to optimize the initial distribution of honey sources,improving the purposiveness of honey source distribution.A sine perturbation and Cauchy distribution strategy is constructed with dynamic step size search factor to optimize the honey source location search method.The directionality of honey source search is improved and the convergence speed of the algorithm is accelerated.Using Matlab software for surface mesh partitioning,a three-dimensional static,dynamic and collaborative simulation environment model is constructed for threat and reconnaissance areas.Through Matlab software simulation,the results show that compared to traditional artificial bee colony algorithm and particle swarm algorithm,the improved artificial bee colony algorithm has shorter path length,faster convergence speed,lower initial fitness,smaller error fluctuations and higher stability in repeated experiments,which verifies the feasibility of the proposed method in this paper.
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