基于粒子系统的舰船航迹仿真

提出一种基于开尔文波理论和粒子系统技术的船行波模拟方法，采用开尔文波理论构建二维船行波模型，使用粒子系统技术对船行波的三维模型进行动态建模，从实际观察出发，根据艏浪、艉浪的形状特征、作用范围和浪花的随机运动特性，给出艏浪、艉浪的粒子系统建模方法。实验证明该方法能快速逼真地模拟舰船航行时的航迹。

Ship Wakes Simulation Based on Particle Systems

K-means algorithm is simple and fast, however its result is affected by the initial clustering center and easily falls into the local optimum. This paper combines Particle Swarm Optimization(PSO) and adjusting mechanism and the immune memory function of immune system to improve K-means algorithm, and proposes a clustering algorithm based on Immune Particle Swarm Optimization algorithm(IM-PSO-KMEANS). The experiments show that the IM-PSO-KMEANS algorithm overcomes the problems of K-means algorithm, and the results of clustering are better than algorithm based on PSO.