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PSOtoolbox.rar
- 微粒群算法[PSO ] 是由Kennedy 和Eberhart等于1995 年开发的一种演化计算技术, 来源于对鸟群捕食过程的模拟。PSO同遗传算法类似，是一种基于叠代的优化工具，但与遗传算法使用遗传操作子进行优化不同，利用群体中各个体之间的“协作”与“竞争”关系，根据自身及其竞争者的飞行经验，调整自己的行为。同遗传算法比较，PSO的优势在于简单容易实现并且没有许多参数需要调整。目前已广泛应用于函数优化，神经网络训练，模糊系统控制以及其他遗传算法的应用领域。,Particle Swarm Opt
pso
- matlab实现的PSO算法，主要功能是模拟粒子群算法，经过测试可以运行。-matlab implementation of the PSO algorithm, the main function is to simulate particle swarm algorithm is tested to run.
pso
- 简单粒子群算法 能优化但目标函数 算法简单 效果好-A simple particle swarm optimization algorithm to optimize the objective function, but simple and good results
PSO-extremum-optimization-algorithm
- 基于粒子群优化算法的非线性函数极值寻优,这里的适应度函数为Ackley函数，适应度值为函数值。根据初始粒子适应度值确定个体极限和群体极限。-Nonlinear function based on particle swarm optimization extremal optimization, where the fitness function for the Ackley function, the value of the fitness function value. Accordin
clear-all
- 这是一个pso的函数可以运行-This is a the pso The function can run! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !
PSO
- 老师做的一个课题，关于神经网络的，基于PSO的函数极值寻优-extremal optimization algorithms based on the function of PSO
pso
- 本文为基于matlab的粒子群算法的程序，以求函数最小值为例，讲述如何用粒子群算法求得局部和全局最优解。-This article is based on particle swarm algorithm matlab procedures, in order to the minimum function, for example, on how to use PSO obtain local and global optimal solution.
PSO
- 基本粒子群算法，用于计算函数最小值，其中适应度函数fitness可以自定。-PSO function，which used to calculate the minimum value
espopso
- espopso,一种高级PSO算法，通过改变粒子数目达到较好的优化，如需改变测试函数，须将主程序内所有测试函数名字全部改变。-espopso, an advanced PSO algorithm, by changing the number of particles to achieve a better optimization, need to change the test function, all test functions within the main program shal
ssxsjPSO
- 实数编码的小生境PSO算法优化多模态函数-Real-coded niche PSO algorithm for multimodal function optimization
program
- 在matlab, 利用粒子群算法（PSO）实现函数极值优化-In matlab, using particle swarm optimization (PSO) to achieve function extreme optimization
pso-fd
- PSO算法和最速下降法混合算法，求解单目标优化问题，测试函数是非线性方程组，解决MinF(x)的问题。-PSO algorithm and steepest descent method hybrid algorithm for solving single-objective optimization problem, the test function is non-linear equations, solving MinF (x) of the problem.
PSOtool---PSO-Trelea-vectorized
- 基于PSO工具箱的函数寻优算法，包括工具箱，mtlab程序的实现-PSO toolbox based on the function optimization algorithm, including the toolbox, MTLAB program to achieve
pso61wtl
- 粒子群算法用于优化求解函数最小值，此算法收敛速度快，很快找到最小值。-Particle Swarm Optimization (PSO) is used to optimize the minimum value of the function. The algorithm converges quickly and finds the minimum value.
PID
- PID控制器参数主要是人工调整，这种方法不仅费时，而且不能保证获得最佳的性能。PSO已经广泛应用于函数优化、神经网络训练、模式分类、模糊系统控制以及其它应用领域，本案例将使用PSO进行PID控制器参数的优化设计。-The main parameters of PID controller are manual adjustment. This method is not only time-consuming, but also can not guarantee the best perfor
yanqoupan
- BP神经网络用于函数拟合与模式识别，基于K均值的PSO聚类算法,使用拉亚普诺夫指数的公式。- BP neural network function fitting and pattern recognition, K-means clustering algorithm based on the PSO, Raya Punuo Fu index using the formula.
kiufing-V2.7
- 构成不同频率的调制信号，基于K均值的PSO聚类算法,窗函数法设计一个数字带通FIR滤波器。( Constituting the modulated signals of different frequencies, K-means clustering algorithm based on the PSO, A window function design FIR digital band-pass filter.)
pso-vmd
- 提供 基于粒子群算法优化的变分模态分解算法，适应度函数选择的是模糊熵(This paper presents a variational mode decomposition algorithm based on particle swarm optimization, and the selection of fitness function is fuzzy entropy)