Research on Ship Collision Avoidance Decision Based on Improved Ant Colony Algorithm

It is an effective way to solve the problem of human factors to improve the technical means to realize the automatic collision avoidance of ships, The dependence on human subjective judgment will be reduced. The key technology of ship automatic collision avoidance is the decision model and the algorithm to solve the model. Considering the safety and economy as well as the GOLREGS, a decision model for ship steering collision avoidance path planning and a decision model for ship deceleration collision avoidance were established. The ant colony algorithm was chosen to solve the model, and the state transition probability formula and pheromone update formula were improved by combining the roulette method to solve the problem that the ant colony algorithm could not be used in continuous space optimization. The results show that the improved ant colony algorithm was feasible and effective, and the improved ant colony algorithm can be effectively applied to the model established above. The ship collision avoidance decision simulation system based on improved ant colony algorithm was constructed to simulate different encounter situations. Simulation results show that the model was feasible and effective. It has certain theoretical guiding significance to ship collision avoidance.