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摘　要:提出一种新的基于Pareto多目标进化免疫算法(PMEIA)。算法在每一代进化群体中选取最优非支配抗体保存到记忆细胞文档中 同时引入Parzen窗估计法计算记忆细胞的熵值,根据熵值对记忆细胞文档进行动更新,使算法向着理想Pareto最优边界搜索。此外,算法基于点在目标空间分况进行克隆选择,有利于得到分布较广的Pareto最优边界,且加快了收敛速度。与已有算法相比, PMEIA在收敛性、多样性,以及解的分布性方面都得到很好的提高。(Abstract:This paperproposed a new pareto-based multi-object evolutionary mi mune algorithm(PMEIA). PMEIA selected optmi alnon-dominated antibodieswhichwere then reserved inmemory cellarchive, and introducedParzenwindow to calculate entropy ofmemory cells. Updated thememory cell archive according to entropy ofmemory cells. This guarantees the conver- gence to the true Pareto fron.t Moreover, the performance of clone selection was dependent on distribution in the objective space, whichwas favorable forgetting awidely spreadPareto frontand mi proving convergence speed. Comparedwith the exis- ted algorithms, the obtained solutions ofPMEIA havemuch betterperformance in the convergence, diversity and distribution.)

hai check it its very good code..and pv and eindmpptalgoritham

MATLAB数据的统计描述和分析(含教程)(MATLAB description and analysis of statistical data (including tutorials))

各种灰色T型关联度代码，修正的T型关联度，改进的T型关联度,邓氏关联度，绝对关联度，相对关联度等。非常方便！(Various gray T-correlation code, modified T-correlation, improved T-correlation, Tangs correlation, absolute degree, associate degree relative. Very convenient!)

这是一本关于地球物理反演方法的经典著作《Parameter Estimation and Inverse Problems》，学地球物理的可以看看。(this book is for geophysics inverse problem base study. worth reading if you are a student of geophysics.)

MATLAB入门教程,从基础知识开始介绍的一个好文档。非常适合用matlab进行可视化编程。(MATLAB Tutorial, start from the basics of a good presentation document. Very suitable for visualization using matlab programming.)

comperssion algorithm LZW in matlab coding

利用matlab演奏的歌曲《最炫民族风》，挺有意思的，不妨一听(Using matlab to play the song "The most unusual national wind", very interesting, might one)

最小二乘优化算法。Matlab源码，直接可以使用。(Least Squares optimal affine subspace The zip includes: (1) lsqAffineSpace: a low level routine that takes a set of m-dimensional real sample data and returns the optimal-fit k-dimensional affine subspace, with some options for discarding outliers. (2) lsqPlane and lsqLine: lsqAffineSpace wrappers, that compute optimal line and hyperplane (plane, if the samples are 3-vectors) of the input samples. (3) lsqAffineTestScript: demonstrating usage of the functions.)

噪声环境下的予以增强程序，用小波函数 db6 对信号进行3层分解(Noise environment to be enhanced procedures DB6 wavelet function with the signal 3-layer decomposition)