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

Considering the limitation of traditional ant colony algorithm's slowish convergence and bad self-adaptability to dynamic path change, a dynamic improved ant colony algorithm based on local information acquisition strategy is proposed in this paper. Firstly,The local information acquisition strategy is used to obtain the optimal local target point. Then, the improved ant colony algorithm is called to obtain the optimal path in the local region.And the new optimal local target point of the neighbor region is obtained by repeating the loop until the global target point is found. Moreover, the improved ant colony algorithm is applied to the path optimization and obstacle avoidance in dynamic path planning. The simulation results show that the new algorithm proposed not only has considerable path optimization performance compared with the traditional ant colony one, but also has self-adaptive capacity faced with time-vary obstacles and faster convergence speed.