The application research for ship collision avoidance with hybrid optimization algorithm

A hybrid optimization algorithm, including an improved bacterial foraging algorithm and particle swarm optimization with strong global searching ability and quick local convergence ability, is applied to optimize the route of ship collision avoidance. The ship collision avoidance simulation is done based on MATLAB simulation environment by means of a hybrid optimization algorithm in conjunction with a collision risk model and optimization function. And then, ship collision risk is analyzed; optimization collision avoidance parameters including avoidance collision angle, reorientation angle and time parameters are chosen and displayed, route of ship collision avoidance is generated. By summarizing the simulation diagram and the results of the analysis are effective and feasible. This research proposes a new idea for intelligent avoidance collision.