搜索资源列表
pso
- 程序说明： jblzq.m为基本粒子群程序求函数的最大值 lzq2.m是惯性权重法求函数的最大值 lzq3.m是惯性权重法求函数最小值。当然也可以用lzq2.m实现，在函数前加个负号 lzq4.m是收敛因子法求函数最小值 lzq5.m是带变异的惯性权重法求最大值，变异条件比较简单，变异次数多。还有一种变异是利用各粒的最优位置与全局最优位置的差的平方和，再开根号的值小于某一值最为收敛条件，将在我的报告中叙述 lzq6.m是分层粒子群优化算法，即利用两个粒子群同时进行搜索，一
pso
- pso algorithme NOTE: THIS IS AN ALPHA RELEASE. FOR TESTING ONLY. 1. Installation: -Unzip and copy the files to a folder (directory). -Add the path to Matlab. (File>Set Path>Add with Subfolders) -Read help for get_psoOptions.m an
PSwarmM_v2_1
- pso Developed by: Mahamed G.H. Omran (omran.m@gust.edu.kw) and Maurice Clerc
PSO
- Hi this zip file includes tow m files for applying simple pso. extrat the files and enjoy it
fa3dd53de757701114f64c8293eeb163
- 粒子群算法的程序，相信帮助很大。很多地方值得借鉴。我的受益很大-Application of particle swarm optimization (pso), believe a great help.In many places is worth using for reference.I m under a lot of benefits
nunfou
- 已经调试成功.内含m文件，可直接运行，仿真效果非常好，基于分段非线性权重值的Pso算法。- Has been successful debugging. M contains files can be directly run, Simulation of the effect is very good, Based on piecewise nonlinear weight value Pso algorithm.
pso
- 基本粒子群的优化算法，m代码文件，可直接运行- Basic particle swarm optimization algorithm, M code files, can be directly run
PSO-basic
- 该文件是最基本的粒子群算法的M文件源代码。-The most basic particle PSO algorithm of M files.
pso
- 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。它具有精度高，收敛快等优点，广泛用于系统辨识、函数优化等领域。文件pso.m是粒子群算法辨识程序，在此基础上，需要自行编写目标函数计算程序以实现不同系统的参数辨识。(Particle swarm optimization (PSO), also known as particle swarm optimization algorithm or bird swarm foragi
scmt.m
- 用PSO-BPNN算法对时间序列数据进行拟合并预测未来一段时间数据(Using pso-bpnn algorithm to predict the future time series data)