Description: Path planning is one of the key technologies of underwater vehicle intelligent control, whose task is to follow a certain environment in a known obstacle
The optimal index searches for a collision free path from the starting point to the target point. Three dimensional space path planning for underwater vehicle using ant colony algorithm
Questions were studied in order to
ACS
Based on the algorithm, a path optimization search algorithm is designed, and the pheromone representation method and path are discussed in detail
The principle of point selection, heuristic function design and pheromone updating rules are given. The flow chart of the algorithm is given. The simulation results show that the algorithm is very effective,
The algorithm can realize path planning in 3D space conveniently and effectively.
To Search:
File list (Check if you may need any files):
蚁群算法\CacuFit.asv
蚁群算法\CacuFit.m
蚁群算法\CacuQfz.asv
蚁群算法\CacuQfz.m
蚁群算法\data.asv
蚁群算法\data.m
蚁群算法\data.mat
蚁群算法\data1.m
蚁群算法\information1.mat
蚁群算法\initiation.asv
蚁群算法\main.asv
蚁群算法\main.m
蚁群算法\main1.asv
蚁群算法\main1.m
蚁群算法\path.asv
蚁群算法\path1.asv
蚁群算法\path1.m
蚁群算法\searchpath.asv
蚁群算法\searchpath.m
蚁群算法\z1.mat
蚁群算法\~$附件1 区域高程数据.xlsx
蚁群算法\结果.bmp
蚁群算法\适应度变化.bmp
蚁群算法\附件1 区域高程数据.xlsx
蚁群算法
Download