登录
首页 » matlab » GA

GA

于 2010-12-15 发布 文件大小:2KB
0 171
下载积分: 1 下载次数: 0

代码说明:

说明:  solving traveling salesman problem with matlab

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • MPC-fleet-control-master避障
    说明:  用于解决多机器人编队的避障的MPC-fleet算法(MPC-fleet algorithm for solving obstacle avoidance of multi-robot formation)
    2019-03-21 10:58:21下载
    积分:1
  • Matlabautofocus
    这是我毕设做自动调焦仿真实验时,编写的自动调焦函数的Matlab代码,把基于灰度梯度的调焦函数都仿真了(This is what I do complete auto-focus based simulation experiments, the preparation of the automatic focusing function of the Matlab code, the gray gradient-based simulation of the focusing functions)
    2021-06-10 11:30:08下载
    积分:1
  • autocorrelation-function
    说明:  信号处理输入相关矩阵的创建程序以及傅里叶变换(Signal processing procedures for the creation of the input correlation matrix and Fourier transform)
    2011-03-13 17:30:27下载
    积分:1
  • 80308116wavelet_code
    基于MATLAB的小波变换,源码很有用,可以直接运行(using VC++ Wavelet image enhancement)
    2013-11-28 01:41:04下载
    积分:1
  • icdtool
    code to test the mimo system for the ML and MZ
    2011-05-10 18:36:56下载
    积分:1
  • wuyuandingwei
    关于无源雷达定位的最新文献,个人感觉很有用(Recent literature on passive radar positioning, personal feeling useful)
    2012-04-14 00:23:29下载
    积分:1
  • fecgm
    独立成份分析(ICA)以及winner滤波 Source separation of complex signals with JADE. Jade performs `Source Separation in the following sense: X is an n x T data matrix assumed modelled as X = A S + N where o A is an unknown n x m matrix with full rank. o S is a m x T data matrix (source signals) with the properties a) for each t, the components of S(:,t) are statistically independent b) for each p, the S(p,:) is the realization of a zero-mean `source signal . c) At most one of these processes has a vanishing 4th-order cumulant. o N is a n x T matrix. It is a realization of a spatially white Gaussian noise, i.e. Cov(X) = sigma*eye(n) with unknown variance sigma. This is probably better than no modeling at all...( Source separation of complex signals with JADE. Jade performs `Source Separation in the following sense: X is an n x T data matrix assumed modelled as X = A S+ N where o A is an unknown n x m matrix with full rank. o S is a m x T data matrix (source signals) with the properties a) for each t, the components of S(:,t) are statistically independent b) for each p, the S(p,:) is the realization of a zero-mean `source signal . c) At most one of these processes has a vanishing 4th-order cumulant. o N is a n x T matrix. It is a realization of a spatially white Gaussian noise, i.e. Cov(X) = sigma*eye(n) with unknown variance sigma. This is probably better than no modeling at all...)
    2010-05-27 23:08:51下载
    积分:1
  • linearizeabt_5deg_roll
    Linearized model of quadrotor about a 5 degree roll angle.
    2011-05-31 06:03:24下载
    积分:1
  • JSR_louvain_2
    Gathers and compares the best methods for the joint spectral radius computation
    2014-02-06 17:56:50下载
    积分:1
  • func_SPIHT_Main
    SET PARTITON INTO HIERARCHIAL TREES:IT IS THE GENERALISATION OF THE EZW ALGORITHM IN A MANNER THAT TENDS TO KEEP INSIGNIFICANT COEFFICIENTS TOGETHER IN LARGER SUBSETS
    2013-07-22 20:42:59下载
    积分:1
  • 696516资源总数
  • 106409会员总数
  • 8今日下载