msequence

This is PN code with matlab it s easy. enjoy a this source

Wandering robot avoiding obstacles while wandering and reaching a goal

说明：  这是个关于图像迭代法分割算法的源程序，在matlab上实现(This is iterative image segmentation algorithm on the source, to achieve in matlab)

mean shift algorithme for clustering

进行逐步线性回归算法，找到最合适的回归模型，进行数据分析(making the data is easy to look for the answer )

对给定图像裁剪为384×384，对其分别进行傅立叶等变换 。。。——bianhuan.m(For a given image cut to 384 × 384, so its Fourier transform respectively. . .- Bianhuan. M)

一个matlab扩频通信系统simulink仿真系统从发送端到接收到各个部分(A spread spectrum communication system matlab simulation system simulink Send ended to receive from the various parts of)

求解VRP问题的新解法蚁群算法matlab程序(The new method for solving VRP problems ant colony algorithm matlab program)

说明：  matlab编程画的一幅玫瑰图，直接可用，非常好看(matlab programming painting a the roses directly available, very nice ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~)

The optimization behavior of the self-adaptation (SA) evolution strategy (ES) with intermediate multirecombination (the (=I )-SA-ES) using isotropic mutations is investigated on the general elliptic objective function. An asymptotically exact quadratic progress rate formula is derived. This is used to model the dynamical ES system by a set of difference equations. The solutions of this system are used to analytically calculate the optimal learning parameter  . The theoretical results are compared and validated by comparison with real (=I )-SA-ES runs on typical elliptic test model cases. The theoretical results clearly indicate that using a model-independent learning parameter  leads to suboptimal performance of the (=I )-SA-ES on objective functions with changing local condition numbers as often encountered in practical problems with complex fitness landscapes.