搜索资源列表
粒子群算法程序
- 粒子群算法程序集,应用于粒子优化处理!最新的算法.-PSO algorithm set, optimized for particle! The latest algorithm.
pso_gray.rar
- 粒子群优化算法结合灰色模型进行电力市场的预测,自己编写的源代码,使用标准粒子群算法,Particle swarm optimization algorithm combined with a gray model forecast of the electricity market, I have written the source code, using the standard particle swarm optimization
cross-pso.rar
- 带交叉因子的粒子群优化算法,有关粒子群算法的改进并举例说明,Cross-factor with particle swarm optimization algorithm, the particle swarm algorithm and illustrates
PSOGABPDRNN.rar
- 此包含有遗传算法、粒子群算法、BP算法优化对角递归神经网络的MATLAB程序,This includes genetic algorithms, particle swarm optimization, BP algorithm for diagonal recurrent neural network of the MATLAB program
tunningPIDbyPSO.zip
- 埃及人wael korani写的采用粒子群算法(pso)代码调用simulink模型优化pid参数,与大家共享,Wael korani Egyptians wrote using particle swarm optimization (pso) code pid call simulink model optimization parameters, and share
pso-bp
- 这是一个采用粒子群算法优化bp神经网络权值的MATLAB程序-This is a particle swarm optimization using neural network weights bp MATLAB program
PSO_C++
- 一个很好的学习粒子群算法的例子。(刘康C++版本) 程序介绍: 模拟一群鸟捕食的情景,从而达到优化目标函数的目的,这就是粒子群算法!起初在可行的空间中随机的产生一群粒子,然后让每个粒子开始在虚拟的空间中向四面八方飞翔,并且每个粒子都记下他们飞过的适应值(也就是目标优化函数)最高的点,而且整个粒子群有一个最高适应值个体,这样,粒子在飞翔的时候尽量朝向自己曾飞过的最好的点和集体的最好的点。最后达到收敛到近似最优点的目的。 备注:目标优化函数程序中已经内定了,f6 ={0.
MY_PSO_zyk_cgaus_rldc
- 给予粒子群算法的优点,将其用于电力系统中进行参数优化有明显效果-this is a alagorithm of var power optimization
Optimization_of_RBF_Network
- Matlab粒子群算法优化RBF网络 采用了粒子群算法对RBF神经网络中的参数进行了优化,在测试程序中验证了经过粒子群算法优化的RBF神经网络的函数逼近能力比未经过优化的逼近能力强-Matlab PSO RBF network optimization using particle swarm optimization on RBF neural network parameters are optimized, in the test procedures and verified thr
CLSPSO
- 混沌的粒子群算法,求解无约束优化问题,可以保持个体多样性-Chaotic particle swarm algorithm for solving unconstrained optimization problems, can maintain the diversity of individual
PSOHMM11
- pso粒子群算法与隐马尔科夫模型的结合,用粒子群优化算法度模型参数进行优化,用于度序列观察。-pso particle swarm algorithm with a combination of hidden Markov model, using particle swarm optimization algorithm to optimize the degree of model parameters for the degree of sequence observations.
SAPSO
- 模拟退火-粒子群算法,该程序将模拟退火算法和粒子群算法相结合,对优化参数有很好的效果-Simulated annealing- particle swarm optimization, the program will be simulated annealing algorithm and particle swarm optimization by combining optimization parameters have a good effect
SimuAPSO
- 基于模拟退火的粒子群算法,解决无约束优化问题-Based on simulated annealing particle swarm algorithm to solve unconstrained optimization problems
pso
- pso(粒子群算法)优化神经网络 MATLAB的m 文件
基于粒子群优化的无线MESH网信道分配算法
- 基于粒子群优化的无线MESH网信道分配算法通用MATLAB函数(General MATLAB function of wireless MESH network channel allocation algorithm based on particle swarm optimization)
chapter14 基于粒子群算法的PID控制器优化设计
- chapter14 基于粒子群算法的PID控制器优化设计,粒子群算法也是个不错的优化参数算法(chapter14 Particle swarm optimization algorithm based on PID controller design, Particle Swarm Optimization algorithm is also a good optimization algorithm)
粒子群算法1
- 粒子群算法,强引导粒子群与混沌优化的电力系统无功优化(Particle swarm optimization, strongly guided particle swarm optimization and chaotic optimization for reactive power optimization in power systems)
改进粒子群算法的PID控制器优化设计
- 基本的pid控制器算法以及simulink仿真模型,可以在线更改仿真参数。(Simulation optimization)
遗传粒子群优化算法-GAPSO
- 遗传算法改进粒子群算法及混沌粒子群算法的源码(Improved genetic algorithm for particle swarm optimization and chaotic particle swarm optimization)
粒子群算法
- 粒子群算法,也称粒子群优化算法或鸟群觅食算法(Particle Swarm Optimization),缩写为 PSO, 是近年来由J. Kennedy和R. C. Eberhart等 开发的一种新的进化算法(Evolutionary Algorithm - EA)。PSO 算法属于进化算法的一种,和模拟退火算法相似,它也是从随机解出发,通过迭代寻找最优解,它也是通过适应度来评价解的品质,但它比遗传算法规则更为简单,它没有遗传算法的"交叉"(Crossover) 和"