ACO

说明：  newmark-beta法解多个自由度的结构动力响应，并输出结构响应图形(Newmark-beta method is used to solve the structural dynamic response of two degrees of freedom and output the structural response graph.)

total for 16 bus system load flow

蕞优分组周游路线问题是一类物流智能调度问题，是众多的计算难度极大的组合爆炸问题之一。自从运输问题最早是由Hitchcock在1941年提出的[2][4]后，人们对这一类问题给予了极大的关注并进行了大量的研究，提出了有效解决问题的优化算法——单纯形法的变形[2]。但由于问题规模的扩大，纯数学方法在允许的时间和空间上都很难找到问题的最优解，于是人们开始转向寻找问题的近似最优解，遗传算法以其在求解最优化问题中的独特的自组织性、自适应性很快进入人们的视野。 经典的遗传算法对于求解多目标的NP完全性问题非常有效，但对于有多个限制条件的多目标最优化问题缺显得有点力不从心，很难得到稳定度较高、收敛较快的解。本文提出的双层遗传算法模型给这一类问题提供了一个很好的解决方法，虽然建模条件限制了描述的问题的通用性，有待推广，但它能有效利用问题的领域知识，提高了求解效率，保证了解的可行性和最优性，算法思想极具推广潜力，可在其它物流智能调度问题求解算法设计中借鉴。(The most optimal packet travel route problem is a kind of intelligent logistic scheduling problem is one of combinatorial calculation difficult problem many. Since the transportation problem was first proposed by Hitchcock in 1941 after the [2][4], the people of this class of problems given great attention and made a lot of research, the deformation of [2] optimization, simplex method algorithm is effective to solve the problem of. But due to the expansion of the scale of the problem, the pure mathematical methods in the allowed time and space are very difficult to find the optimal solution of the problem, so people begin to turn to the approximate optimal solution for the problem, genetic algorithm in solving optimization problems with its unique in the self-organizing, adaptive soon entered people s field of vision. Very effective classical genetic algorithm for solving multi-objective NP complete problems, but for the multi-objective optimization problem with multiple constraints. I)

正弦函数，在0到2π区间，当有一个输入时，对应有一个输出，最后在matlab上显示出图像(Sine function, within the range of zero to 2 PI, when have an input, due to an output, and finally show the image in matlab )

除去接受信号中期望信号的mvdr 自适应波束形成算法（自相关矩阵估计）(Remove accepts signals desired signal mvdr adaptive beamforming algorithm (autocorrelation matrix estimation))

这里是matlab的图像处理及其他重要处理的思路及算法过程，十分有用(Here is the matlab image processing and other important process of dealing with the ideas and algorithms are useful)

training phase of speech recognition project

说明：  matlab时频分析程序 功能完善的用户界面(matlab TFR)

Conjugate gradient method

求解一个多层分层流体中色散方程频率和波数关系的程序(Solving a multi-layer stratified fluid in the dispersion equation the relationship between the frequency and wave number of the procedures)