国产欧美精品一区二区,中文字幕专区在线亚洲,国产精品美女网站在线观看,艾秋果冻传媒2021精品,在线免费一区二区,久久久久久青草大香综合精品,日韩美aaa特级毛片,欧美成人精品午夜免费影视

In order to solve the problems of the standard particle swarm algorithm in UAV 3D path planning, such as easy to fall into local optimum, insufficient dynamicization and poor path smoothing, an optimization algorithm based on particle swarm algorithm and genetic algorithm, incorporating K-mean elitization and Corsi variation, is proposed. In the comparison experiments, an actual complex 3D environment is simulated and the total path length, flight altitude difference and Markovian survival state are selected to form the objective function; the results show that the robustness of the improved algorithm is improved by 98% and the solution quality is higher than that of the IPSO algorithm and PSO algorithm by 5.8% and 10.6%, respectively, verifying the effectiveness and robustness of the optimized method.