Research on ship route planning based on improved ant colony algorithm

Ship navigation in obstacle environments using traditional manual route plotting methods is not only time-consuming and labor-intensive, but also results in highly inaccurate route drawings. In case of changes in obstacle positions, the entire route needs to be redesigned and redrawn. Additionally, manually plotted route maps are not easily preserved and have limited applicability. In order to overcome the limitations of manual route plotting, a ship route planning method based on an improved ant colony algorithm is proposed. Simulation of the improved ant colony algorithm is conducted to obtain the optimal ship route in obstacle environments.