遗传算法工具箱matlab_gatbx
所属分类：matlab编程
开发工具：matlab
文件大小：414KB
下载次数：6
上传日期：2018-09-16 12:45:23
上 传 者：
5978728
说明： 遗传算法可以解决传统的目标优化问题，但是，它摒弃了传统的搜索方式（如遍历搜索、枚举搜索等等），取而代之地采用一种基于搜索目标的“进化”搜索，即模拟了生物变异的随机性、遗传性，使得每一代的“搜索”跟前一代相比，既可能有共性（遗传），又可能有新的特征（变异）。遗传算法的搜索是“一代一代”地进行的，经过一定次数的搜索后，可以得出接近于搜索目标的结果（自然选择）。
(Genetic algorithm can solve the traditional target optimization problem, but it abandons the traditional search methods (such as traversal search, enumeration search, etc.). Instead, it uses an "evolutionary" search based on the search objective, which simulates the randomness and heredity of biological mutation, so that each generation of "search" ahead. Compared to the same generation, there may be common features and new features. The search of genetic algorithm is carried out from generation to generation. After a certain number of searches, the results close to the search target (natural selection) can be obtained.)
文件列表:
gatbx\BS2RV.M (3217, 1998-04-22)
gatbx\CONTENTS.M (1835, 1998-04-22)
gatbx\CRTBASE.M (1168, 1998-04-22)
gatbx\CRTBP.M (2187, 1998-04-22)
gatbx\CRTRP.M (2091, 2005-12-04)
gatbx\DOC\GA TOOLBOX FREQUENTLY ASKED QUESTIONS.txt (12501, 2005-11-28)
gatbx\DOC\GATBXA0.LOG (273, 2005-12-02)
gatbx\DOC\GATBXA0.PDF (16715, 2005-12-02)
gatbx\DOC\GATBXA0.PS (53484, 1998-04-22)
gatbx\DOC\GATBXA1.LOG (458, 2005-12-02)
gatbx\DOC\GATBXA1.PDF (109101, 2005-12-02)
gatbx\DOC\GATBXA1.PS (204230, 1998-04-22)
gatbx\DOC\GATBXA2.LOG (273, 2005-12-02)
gatbx\DOC\GATBXA2.PDF (101958, 2005-12-02)
gatbx\DOC\GATBXA2.PS (200234, 1998-04-22)
gatbx\DOC\gpl.txt (18351, 2005-11-28)
gatbx\DOC\The MathWorks - 1-18GTU Why do I get an error in MATLAB 6_0 (R12) where I got a warning in R11 with reference to uninitialized variables.mht (98687, 2005-11-28)
gatbx\DOC (0, 2006-11-23)
gatbx\MIGRATE.M (7205, 1998-04-22)
gatbx\MPGA.M (4019, 1998-04-22)
gatbx\MUT.M (1609, 1998-04-22)
gatbx\MUTATE.M (3437, 1998-04-22)
gatbx\MUTBGA.M (4943, 1998-04-22)
gatbx\OBJFUN1.M (2629, 1998-04-22)
gatbx\OBJHARV.M (2559, 1998-04-22)
gatbx\RANKING.M (4709, 1998-04-22)
gatbx\RECDIS.M (1825, 1998-04-22)
gatbx\RECINT.M (1895, 1998-04-22)
gatbx\RECLIN.M (1953, 1998-04-22)
gatbx\RECMUT.M (4852, 1998-04-22)
gatbx\RECOMBIN.M (2438, 1998-04-22)
gatbx\REINS.M (5574, 1998-04-22)
gatbx\REP.M (1208, 1998-04-22)
gatbx\RESPLOT.M (2080, 1998-04-22)
gatbx\RWS.M (1090, 1998-04-22)
gatbx\SCALING.M (1270, 1998-04-22)
gatbx\SELECT.M (2401, 1998-04-22)
gatbx\SGA.M (2143, 1998-04-22)
gatbx\SUS.M (1319, 1998-04-22)
... ...
----------------------------------------------------------------------
Genetic Algorithm Toolbox for MATLAB, v1.2
==========================================
Thank you for requesting a copy of the Genetic Algorithm Toolbox.
The Genetic Algorithm Toolbox for MATLAB was developed at the
Department of Automatic Control and Systems Engineering of The
University of Sheffield, UK, in order to make GA's accessible to the
control engineer within the framework of a existing computer-aided
control system design package. The toolbox was written with the
support of a UK SERC grant, and the final version (v1.2) was
completed in 1994.
The Toolbox was originally developed for MATLAB v4.2. It has also
been successfully used with subsequent versions up to and including
MATLAB 7.
For a more detailed introduction to the capabilities and use of the
GA Toolbox, please refer to the two introductory papers and the
Toolbox User's Guide, all of which are available at the GA Toolbox
homepage at http://www.shef.ac.uk/acse/research/ecrg/gat.html.
The GA Toolbox is copyright the original authors and The University
of Sheffield, and is published here under the GNU General Public
License. (See http://www.fsf.org/licenses/licenses.html)
We would be interested to hear of your experiences with, criticisms
of, and enhancements to, the GA Toolbox. Please direct all such
correspondence to ga-toolbox@acse.sheffield.ac.uk.
----------------------------------------------------------------------
近期下载者：
相关文件：
收藏者：