algorithm-optimization-

代码说明：

  采用遗传算法和例子群算法进行优化，可以采用试验设计方法构建试验样本，用Kriging方法构建适应度函数，然后进行优化求解，记住，采用此程序是，应该安装Kring工具箱子(Using genetic algorithm and example of algorithm optimization, experimental design method can be used to build the test sample, with the Kriging method constructing fitness function, and then optimized solution, remember, is using this program, should be installed Kring tool box)

文件列表：

遗传和蚁群优化-Kriging
......................\cd.mat,35791,2014-06-23
......................\htm" target=_blank>changelog,4352,2014-06-25
......................\Contents.m,1202,2014-06-25
......................\corrcubic.m,1207,2014-06-25
......................\correxp.m,1039,2014-06-25
......................\correxpg.m,1176,2014-06-25
......................\corrgauss.m,1028,2014-06-25
......................\corrlin.m,1091,2014-06-25
......................\corrspherical.m,1227,2014-06-25
......................\corrspline.m,1868,2014-06-25
......................\DACE.mht,22061,2014-06-25
......................\dace.pdf,1578894,2014-06-25
......................\data1.mat,2040,2014-06-25
......................\dsmerge.m,3942,2014-06-25
......................\gridsamp.m,1205,2014-06-25
......................\lhsamp.m,592,2014-06-25
......................\Myfit.m,368,2014-06-25
......................\predictor.m,4398,2014-06-25
......................\regpoly0.m,377,2014-06-25
......................\regpoly1.m,385,2014-06-25
......................\regpoly2.m,789,2014-06-25
......................\SelectParents_Fcn.m,591,2009-04-19
......................\程序使用说明.doc,24576,2011-08-18