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说明：  本程序为粒子群算法的源代码可应用于微电网的多目标经济优化调度(This program is the source code of particle swarm optimization algorithm and can be applied to multi-objective economic optimal dispatch of microgrid)

说明：  互信息计算，用于获取两个随机变量相关程度(Mutual information Mutual information calculation is used to obtain the correlation degree of two random variables)

说明：  这个基于MATLAB的遗传算法的源程序，希望对有需要的同志提供帮助！(the MATLAB-based genetic algorithm source, and I hope to be in need of help comrades!)

添加高斯白噪声子程序 内容虽然很简单，但是很有用哦(Add white Gaussian noise subroutine)

使用principal component analysis PCA减少特征数目(Use principal component analysis (PCA) to reduce the number features.)

matlab控制双摄像头拍照。。。以及gui设计界面。。。操作界面。。(matlab control dual cameras to take pictures. . . And gui interface design. . . Interface. .)

JA模型的simulink实现，适用于学习迟滞非线性建模的同学(The Simulink implementation of JA model is suitable for students with learning hysteresis nonlinearity modeling.)

说明：  先进PID控制Matlab仿真(刘金琨编)第4版-仿真程序 全书分17章，包括基本的PID控制、PID控制器的整定、时滞系统PID控制、基于微分器的PID控制、基于观测器的PID控制、自抗扰控制器及其PID控制、PD鲁棒自适应控制、专家PID控制和模糊PD控制、神经网络PID控制、基于差分进化的PID控制、伺服系统PID控制、迭代学PID控制、挠性及奇异摄动系统的PD控制、机械PID控制，以及其他控制方法的设计。每种方法都给出了算法推导、实例分析和相应的MATLAB仿真设计程序。(Advanced PID Control matlab simulation (edited by Liu Jinqi) - 4th Edition - simulation program The book is divided into 17 chapters, including basic PID control, tuning of PID controller, PID control of time-delay system, PID control based on differentiator, PID control based on observer, ADRC and its PID control, PD robust adaptive control, expert PID control and fuzzy PD control, neural network PID control, PID control based on differential evolution, PID control of servo system and iterative PID control. The design of PD control, mechanical PID control and other control methods for flexible and singular perturbation systems. Each method gives the algorithm derivation, case analysis and corresponding MATLAB simulation design program.)

基于matlab GUI的贪吃蛇游戏程序。(Matlab GUI based on the Snake games.)

这是2007年安徽理工大学 多目标遗传算法应用研究硕士论文(This is 2007, Anhui University of application of multi-objective genetic algorithm pp)