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matlab 遗传算法GA，粒子群算法PSO,蚁群算法AS 前段时间上智能计算方法实验课上，自己做的程序。帖到这里，希望有人能改进它们，交流经验这样更有价值。 遗传算法解决最小生成树问题，PURFER编码。 粒子群算法做无约束最优化问题。 蚁群算法解决TSP问题。 如果有宝贵经验希望能交流一下，谢谢，呵呵(matlab genetic algorithm GA, particle swarm optimization PSO, ant colony algorithm for calculation of AS some time ago on the intelligent test classes, make their own procedures. Quote here, hope someone can improve them, and exchange of experience which is more valuable. Genetic algorithm to solve the minimum spanning tree problem, PURFER coding. Particle swarm optimization to do unconstrained optimization problem. Ant colony algorithm to solve the TSP problem. If there is hope to exchange our experience, thank you, He He)

经典的小波纹理分割，基于matlab实现(The classic texture segmentation, matlab implementation)

Face recognitiion and detection system in matlab

多元格兰杰因果检验的matlab程序包，是继GCCA之后的升级版，分析结果更加简洁，直观(The matlab package of multivariate Grainger causality test is an upgraded version after GCCA. The result is more concise and intuitive.)

用Matlab来进行信号分析。源码及说明都有。(Carried out using Matlab signal analysis. Both source and description.)

it is useful to one who are study GA. I hope it can hope you ,i will very happy.

系统辨识与自适应控制MATLAB仿真教材里递推增广最小二乘法的参数估计的matlab实现的程序(Estimation of system identification and adaptive control of MATLAB simulation in the textbook recursive extended least squares method of the parameters of the matlab program)

分析灰色预测模型基本原理的基础上，利用MATLAB强大的矩阵功能，用MATLAB实现灰色预测GM(1，1)模型算法，并通过实例分析验证了程序的准确性和可靠性。(Grey forecasting model of the basic principle, using the powerful MATLAB matrix functions, with the MATLAB implementation Grey GM (1,1) model algorithm, and an example of program verify the accuracy and reliability. )

《现代控制理论参考答案》，刘豹，唐万生版。现代控制理论参考答案(Modern control theory reference for the answer)

STK 是卫星仿真工具包，由美国AGI开发的一款在航天工业领域中处于绝对领先地位的商品化分析软件。这里附上的是这个软件的教程。(STK is a satellite simulation tool kit developed by the United States AGI a field in the aerospace industry in the commercialization of the absolute leading position analysis software. Here attached is the software tutorial.)