Simulation of Route Planning for Deep Sea Mining Vehicle Based on Improved Ant Colony Algorithm

In this paper, the deep sea mining vehicle is taken as the research object, and the complex terrain environment model of the deep sea is established based on the grid method. On the basis of basic ant colony algorithm, an improved ant colony algorithm is proposed, and the corresponding mathematical model is established, which can offset the drawbacks of the basic ant colony algorithm in the route planning of deep sea mining vehicle. The basic ant colony algorithm and improved ant colony algorithm are used to simulate and compare the driving path of deep-sea mining vehicle. The results show that the improved ant colony algorithm has better search efficiency in the path planning of deep sea mining vehicle, and it is beneficial to obtain the optimal path, being of guiding significance for the autonomous driving of seabed mining vehicle.