standard-PSO

用拉格朗日乘子法求解约束最优化问题，很好的实例程序。(Lagrange multiplier method for solving constrained optimization problems, very good example programs.)

多目标粒子群优化算法，可用于优化多目标计算(multi-objective Particle Swarm Optimization)

自己编写的求解本证值的程序，用以对崩政治求解方法的理解，也可以做成其它线性代数程序的子函数(their preparation for the certification of the value of the procedure to solve the political collapse of understanding, can also cause other linear algebra procedures Functions)

游程编码 输入一个一维数组，会将其内容进行编码，编码程序中包含十进制与二进制之间的相互转换。解码为其逆过程(RLE enter a one-dimensional array, its contents will be encoded, encoding process includes the interaction between decimal and binary conversion. Decode its reverse process)

用训练数据优化DPCM方法，对一个余弦信号数据进行标量量化。(we take optimize the training data DPCM method for the cosine signal data scalar quantization to get a wonderfull understanding.)

牛顿拉夫逊算法进行潮流计算，数据处理程序，方便处理实验数据，并取得数学表达式(Newton Raphson algorithm flow calculation, data processing procedures, facilitate the processing of experimental data and mathematical expression made)

说明：  很好的MATLAB开发源程序 基于VQ矢量量化的语音识别程序(MATLAB to develop a very good source of vector quantization VQ-based speech recognition procedures)

pso optimization function

fuzzypid模糊控制的程序，c++环境编程(fuzzypid fuzzy control program, c++ programming environment)

计盒分形维数计算的matlab源代码编程实现过程(Function [Fdgen NoisfreFD ]=fractaldim(y,Q,M) __________________________________________________________________________ Usage: Computes fractal dimension by box counting(BC) method. NOTE: Running the code may take a little time, because it calculates dimensions for all embedding dimensions up to M. This code is based on an algorithm that constructs a box for the first observation and for other observations test which it belongs to previous box(s). If the observation belongs to one of the existent boxes then increases number of points in the relevant box,otherwise makes a new box. the algorithm of this code uses only rounding down and it does not need binary coding, sorting and so on. It uses only transformation data to [0,2^32-1] and finding valid boxes based on Leibovich and Toth(1989). Inputs: y is a vector time series. q stands for generalized dimension q=1 entropy dimension,q=2 correlation dimension and so on. q=0 is box counting dimen)