Application of Improved Ant Colony Algorithm in Path Planning

Abstract

Aiming at the problem of path planning in topography, this paper studies the influence of relevant factors on speed and path planning, and proposes an intelligent algorithm for terrain path planning based on slope factor and ant colony algorithm. Firstly, the slope factors affecting walking speed are analyzed, then the terrain data are pretreated, and the ant colony algorithm is improved according to the walking requirements. Finally, the optimal walking path is obtained. The simulation results show that the algorithm can achieve better terrain path planning according to walking requirements.