Global Route Planning for Unmanned Vehicles based on Improved Ant Colony Algorithm
WANG Min
SHI Minghang
HAN Yexin
LI Yongshun
TIAN Zikang
Abstract：Unmanned boats are widely used in maritime search,patrol,resource exploration and other activities due to their small size and fast speed.The trajectory planning model is a key technology for achieving autonomous navigation of unmanned boats.Aiming at the problems of search stagnation and decreased convergence speed in traditional ant colony algorithm,a global route planning algorithm for unmanned boats is proposed by combining the maximum minimum ant system and adaptive ant system by adding multi-dimensional monitoring data.The experimental results show that compared with traditional methods,the unmanned boat route planning model based on improved ant colony algorithm has significant performance advantages and good practical application value.
Keywords：unmanned boatant colonypath planningadaptivepheromone
Publication Date：2024-10-25
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：7( 50-56 )