搜索资源列表
pso
- 本程序是关于粒子群优化算法PSO的代码 运行环境是vc6.0
PSO.pdf
- pso program 附录1、标准微粒群算法源程序 附录2、随机微粒群算法程序
job-shop.rar
- 基于PSO的job-shop调度源代码,上面已经上传了一个基于flow-shop调度问题,可以讲二者对比看,PSO-based job-shop scheduling of the source code has been uploaded above based on the flow-shop scheduling problem, you can talk about comparing the two to see
Maximum-Power-Point-Tracking-for-PV-System
- power point presentation for maximum power point tracking for PV systems using PSO.
flow-shop
- 基于粒子群的生产调度源代码,简介,易懂,能很少的理解PSO的基本思路-PSO-based production scheduling source code
PSOBPlunwen
- 基于PSO的BP训练算法论文:在BP训练算法中,关于变权值、学习速率、步长的问题已被广泛地研究,几种基于启发式改进的技术也表明具有改善训练时间以及避免陷入局部最小的明显效果。这里BP训练过程由基于PSO同时优化log—Sigmoid函数与网络权值的新算 法(PSO。GainBP)实现。实验结果表明,PSO—GainBP比传统基于PSO的BP算法在网络训练方面具有更好的性能。-PSO based on the BP training algorithm Papers: In the BP tr
ParticleSwarmOptimization(PSO)
- 微粒群算法的课程用ptt,内有学习PSO的课用流程,相信想学习的您,不会错过-Particle Swarm Optimization courses with ptt, there are study classes with PSO flow, I believe you want to study, not to miss
BINARYPSO
- binary pso for particle swarm optimisation
Discrete_PSO_TSP
- discret particle optimisation pso
pso
- c++的pso基本算法的源代码。可改进用于适应自己的工程-c++ of the basic algorithm pso source code. Could be improved to adapt to their own projects. .
PSO1
- PSO code for optimization
PSO3
- PSO a kind of algorithm for optimization
PSO
- 介绍了PSO算法,以及与遗传算法/人工神经网络的区别,并介绍了算法中参数的选取方法等内容。-Introduced the PSO algorithm, as well as with genetic algorithm/artificial neural network differences and describes the algorithm parameter selection methods and so forth.
MATLAB
- PSO算法,标准的粒子群 算法,标准的粒子群 算法,-PSO,slkdndmndmnd.ldd lkdl k
finangle1
- This is about the kalman pso
PSO
- Program of Particle Swarm Optimization
pospdflw
- 这是一个粒子群优化算法的博士毕业论文,适合做毕设,希望对大家有用-This is a PSO Ph.D. thesis, suitable for complete set, we want to be useful
PSOformal
- PSO formal Data clustering using particle swarm optimization
pso
- 比较好的讲粒子群算法及其应用的文章,还有改进的粒子群算法- pso algorithm and its application
求解矩阵特征值的改进PSO算法
- 求解矩阵特征值的改进PSO算法:为了改进粒子群算法在求解矩阵特征值时只能根据矩阵特征值范围逐一求解特征值的现状提出了一种改进的粒子群 算法改进的粒子群算法采用寻找到一个特征值后,适当改变适应值函数的策略,使搜索区域远离已寻找到的特征值,继续寻找 其他的特征值,如此反复,直到寻找到所有的特征值为止利用四个不同类型的矩阵求解特征值进行仿真,实验结果也验证了算 法的实用性和有效性