基于粒子群算法的高速公路速度可变控制。可以用来仿真-Based on particle swarm optimization variable speed control of the highway. Simulation can be used to

An Improved PSO Algorithm to Optimize BP Neural Network Abstract This paper presents a new BP neural network algorithm which is based on an improved particle swarm optimization (PSO) algorithm. The improved PSO (which is called IPSO) algori

下面的函数BaseStepPso实现了标准全局版粒子群算法的单步更新位置速度的功能-The following function BaseStepPso to realize one-step global version of standard particle swarm optimization algorithm to update the position of the speed function following BaseStepPso function to achieve t

改进的粒子群算法，适用与多目标最优化项目，收敛速度快(The improved particle swarm optimization algorithm is applicable to multi objective optimization projects, and the convergence speed is fast)

粒子群算法优化vmd算法，极大提高算法的精确性和运行速度(Particle swarm optimization algorithm optimizes VMD algorithm, which greatly improves the accuracy and running speed of the algorithm)