ga
所属分类：matlab编程
开发工具：matlab
文件大小：132KB
下载次数：52
上传日期：2013-12-26 19:00:06
上 传 者：
eva-you
说明： 简单的遗传算法解决优化问题的汇编代码，包括单变量无约束优化、单变量有约束优化及多变量优化问题，并配以实例进行说明
(Genetic Algorithms)
文件列表:
ga\adjswapMutation.m (1419, 1998-04-14)
ga\arithXover.m (1487, 1998-04-15)
ga\b2f.m (1495, 1998-04-14)
ga\binaryExample.m (2080, 1998-04-14)
ga\binaryMutation.m (1504, 1998-04-15)
ga\boundaryMutation.m (1639, 1998-04-14)
ga\calcbits.m (1382, 1998-04-14)
ga\Contents.m (4761, 1998-04-17)
ga\coranaEval.m (1451, 1998-04-14)
ga\coranaFeval.m (1538, 1998-04-14)
ga\coranaMin.m (1222, 1998-04-14)
ga\cyclicXover.m (1654, 1998-04-14)
ga\delta.m (1471, 1998-04-14)
ga\dists.m (6837, 1998-04-28)
ga\EER.m (1586, 1998-04-14)
ga\enhancederXover.m (2348, 1998-04-14)
ga\erXover.m (2118, 1998-04-14)
ga\f2b.m (1501, 1998-04-14)
ga\floatExample.m (2322, 1998-04-14)
ga\floatGradExample.m (2137, 1998-04-14)
ga\ga.m (10805, 1998-04-14)
ga\gademo.m (4253, 2001-05-27)
ga\gademo1.m (3887, 1998-04-14)
ga\gademo1eval1.asv (1277, 2004-03-01)
ga\gademo1eval1.m (1275, 1998-04-14)
ga\gademo2.m (2840, 1998-09-08)
ga\gademo3.m (6262, 1998-04-14)
ga\gaMichEval.m (193, 1998-04-14)
ga\gaotv5.ps (132728, 1998-09-08)
ga\gaZBGrad.m (174, 1998-04-14)
ga\gaZBGradEval.m (684, 1998-04-14)
ga\heuristicXover.m (2136, 1998-04-14)
ga\initializega.m (1177, 2003-03-20)
ga\initializeoga.m (1561, 1998-04-14)
ga\inversionMutation.m (1555, 1998-04-14)
ga\linerorderXover.m (1850, 1998-04-14)
ga\maxGenTerm.m (1345, 1998-04-14)
ga\multiNonUnifMutation.m (1991, 1998-04-14)
ga\nonUnifMutation.m (2190, 1998-04-15)
ga\normGeomSelect.m (2308, 1998-04-14)
... ...
This directory contains the Genetic Algorithm Optimization Toolbox for
Matlab 5.
To use this, if you are local to NCSU and have AFS access to this
directory, simply extend the matlab path using the following command.
You can also place this command in a file called startup.m. Everytime
you start Matlab in the directory containing this file, the path will
always be extended.
>>path(path,'/afs/eos/service/ie/research/kay_res/GAToolBox/gaot');
Otherwise, install the .m files into a directory named gaot and extend
the matlab path to that directory. The compressed tar archive and the
zip file should automatically create the gaot directory for you.
The companion paper describing this toolbox is included here as
gaotv5.ps. The paper, the three demo files, gademo1.m gademo2.m
gademo3.m, and four example scripts, binaryExample, floatExample,
floatGradExample, and orderbasedExample, should be sufficient
explanation of this toolbox. For any questions, comments, suggestions
send mail to jjoine@eos.ncsu.edu.
For a list of the files in the tool box get help on gaot.
Thanks for trying the toolbox.
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