完整的遗传算法程序

DESCRIPTION: This Matlab algorithm performs many tasks associated with power system analysis. First, it has the ability to perform both fully coupled and dc power flow analysis. Second, it has the ability to create measurements (with user-defined error) to be used as input for state estimation. Third, it has the ability to perform state estimation - allowing the user to examine how the placement of measurement devices as well as magnitude of distibution of measurement error affect the discrepency between power flow and state estimation results. In essence, it provides the user with a complete package for the study of both power flow and state estimation in n-bus power systems.

自己搭的一个pmsg模型，能实现最大功率点跟踪(D-PMSG MODEL is built by myself，it can achieve mppt )

基于掌纹识别的在线身份验证 识别算法本科毕设，包含了阵列信号处理的常见算法，Gabor小波变换与PCA的人脸识别代码。( Verify recognition algorithm based on palmprint recognition undergraduate complete set of online identity, Contains a common array signal processing algorithm, Gabor wavelet transform and PCA face recognition code.)

说明：  正向云发生器，隶属度，绘制云图，剔除隶属度过大的云滴(Forward Cloud Generator, Membership Degree)

蚁群算法是通过蚂蚁觅食而发展出的一种新的启发算法，该算法已经成功的解决了诸如TSP问题。本文简要学习探讨了蚂蚁算法和TSP问题的基本内容，尝试通过matlab仿真解决一个实例问题。

实现fisher判别方法，对标准变量建立判别函数，然后判别位置的变量的类别(Achieve fisher discriminant analysis, discriminant function to establish the standard variables, and then determine the type of the variable position)

特征分解型求取离散分数阶傅里叶变换 特征分解算法通过求ＤＦＴ的核矩阵Ｆ（ｋ，ｎ）的特征值 和特征向量构造ＤＦＴ核矩阵的分数幂，以此作为Ｆａ（ｋ，ｎ） 来计算ＤＦｒＦＴ。(The kernel matrix eigenvalue decomposition algorithm for DFT F (k, n) characteristic value And the feature vectors are constructed as the fractional powers of the DFT kernel matrix, which are used as Fa (k, n) To calculate DFrFT.)

本文主要包含以下内容 ： 遗传算法和粒子群的 程序设计的一般结构 。主要介绍 两类算法的程序设计中主要思 想。 介绍 在Matlab编程中 一些需要注意的细节 。在实际编程现中 ，结合 Matlab语言的特色，可以将程序 效率发挥到极致 。 并且给出了一个 遗传算法实例 和一个粒子群算法实例 。将帮助大家更好的理解遗传算法和粒子群算法，在以后的学习和应用中便于熟悉的掌握方法。 还有一个关于遗传算法的小实例，更好的对遗传算法有一个理解和学习。

说明：  自适应作业 具有很高的学习的价值 其中包括RLS和LMS(adaptive operations with a high learning value including RLS and LMS)

高精度的matlab求微分方程组的边值问题的bvp6 c的解算器，精度高于常用的bvp4c。(bvp6c solver for ode bvps in matlab)