免疫粒子群算法在船舶避碰上的应用研究

Application of Improved Immune Particle Swarm Algorithm in Ship Collision Avoidance

在船舶避碰决策过程中,转向避让是采用频率最高的一种避让方法。为了获得更加有效和合理的转向幅度,以来船与本船构成的方位、距离、船速比、最近会遇距离和最近会遇时间为主要参数,并综合考虑其他因素来确定船舶间的碰撞危险度,通过改进的免疫粒子群算法,建立相应的适应度函数模型,进而求出最优转向幅度。仿真结果表明,改进的免疫粒子群算法对于处理多船会遇情况下的本船最优转向幅度,结果准确可行。

In the process of decision making for ship collision avoidance,steering operation is used most frequently as a means of avoidance.In order to obtain more effective and rational steering amplitude,the coming ship＇s orientation and distance,speed ratio of ships,distance to closest point of approach,time to closest point of approach,and other factors are taken as main parameters into account to determine the risk extent of collision between ships.Through improved immunity particle swarm optimization,corresponding fitness function models are established and optimized,with which the optimal steering angle can be obtained.Simulation results prove that the model is accurate and practical.