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

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