GA_Model
所属分类:人工智能/神经网络/深度学习
开发工具:Visual C++
文件大小:3845KB
下载次数:22
上传日期:2012-12-09 20:08:24
上 传 者:
1033811259
说明: 遗传算法解决负荷优化分配,该算法是在visual c++环境下编译运行的。
(In order to solve the problem of load dispatch,we use the GA in visual c++ environment.)
文件列表:
GA_Model\GA_Model\1.cpp (1578, 2011-09-21)
GA_Model\GA_Model\ga.opt (57856, 2011-09-23)
GA_Model\GA_Model\1.xls (1227776, 2008-02-19)
GA_Model\GA_Model\chromosome.cpp (6530, 2008-04-16)
GA_Model\GA_Model\chromosome.hpp (842, 2008-04-16)
GA_Model\GA_Model\CInFile.cpp (2507, 2005-09-07)
GA_Model\GA_Model\CInFile.h (514, 2005-09-07)
GA_Model\GA_Model\crossover.cpp (6007, 2008-04-16)
GA_Model\GA_Model\crossover.hpp (1037, 2008-04-16)
GA_Model\GA_Model\DISCLAIMER (279, 2007-06-06)
GA_Model\GA_Model\ga.cpp (10388, 2008-04-16)
GA_Model\GA_Model\ga.dsp (5188, 2008-01-29)
GA_Model\GA_Model\ga.dsw (527, 2007-12-17)
GA_Model\GA_Model\ga.exe (766003, 2007-12-17)
GA_Model\GA_Model\ga.hpp (2625, 2008-04-16)
GA_Model\GA_Model\ga.ncb (566272, 2011-09-23)
GA_Model\GA_Model\ga.plg (1097, 2011-09-23)
GA_Model\GA_Model\GA_Setting (5519, 2011-09-23)
GA_Model\GA_Model\globalSetup.cpp (209, 2008-04-16)
GA_Model\GA_Model\globalSetup.hpp (3027, 2008-04-16)
GA_Model\GA_Model\individual.cpp (11481, 2008-04-16)
GA_Model\GA_Model\individual.hpp (4017, 2008-04-16)
GA_Model\GA_Model\Input_Encoder.cpp (4193, 2008-01-29)
GA_Model\GA_Model\Input_Encoder.h (556, 2008-01-29)
GA_Model\GA_Model\localsearch.cpp (4539, 2008-04-16)
GA_Model\GA_Model\localsearch.hpp (1133, 2008-04-16)
GA_Model\GA_Model\MAHASDK (16085, 2007-12-23)
GA_Model\GA_Model\Makefile (861, 2007-06-06)
GA_Model\GA_Model\Network_1.cpp (3135, 2008-02-09)
GA_Model\GA_Model\Network_1.h (778, 2008-01-29)
GA_Model\GA_Model\nsgapopulation.cpp (10862, 2008-04-16)
GA_Model\GA_Model\population.cpp (20429, 2008-04-16)
GA_Model\GA_Model\population.hpp (6940, 2008-04-16)
GA_Model\GA_Model\random.cpp (3720, 2008-04-16)
GA_Model\GA_Model\random.hpp (944, 2008-04-16)
GA_Model\GA_Model\re (53, 2008-02-09)
GA_Model\GA_Model\result (569713, 2008-02-09)
GA_Model\GA_Model\resuly (53, 2008-02-08)
GA_Model\GA_Model\selection.cpp (5863, 2008-04-16)
... ...
Please read the IlliGAL Report No. 2006015 available on the
technical reports page of the IlliGAL website at
http://www-illigal.ge.uiuc.edu/techreps.php3
That report contains instructions on how to compile, run, and
modify the GA toolbox so that you can try it on your own problems.
The code is distributed for academic purposes only. It has no warranty
implied or given, and the authors assume no liability for damage resulting
from its use or misuse. If you have any comments or find any bugs please
send an email to kumara@illigal.ge.uiuc.edu.
For a commercial use of the code please contact Prof. David E. Goldberg at
deg@uiuc.edu.
Kumara Sastry
Illinois Genetic Algorithms Laboratory
Department of Industrial and Enterprise Systems Engineering
University of Illinois at Urbana-Champaign
http://www-illigal.ge.uiuc.edu/~kumara
March 2006
近期下载者:
相关文件:
收藏者: