NEA
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：37KB
下载次数：77
上传日期：2005-10-02 20:37:30
上 传 者：
huangsl_2002
说明： 针对现有遗传算法在多维非线性优选方面的不足，本文提出了一种基于小生境进化算法（NEA）的非线性优选模型，探讨了NEA算法的参数选择原则。通过大量仿真和比较，表明算法在复杂非线性优选中具有快速、高效、鲁棒性强的特点，并能在全局范围内有效搜索所有最优解。
(against existing genetic algorithms in three-dimensional nonlinear optimization for the shortage, the paper presents a niche evolutionary algorithm (NEA) nonlinear optimization model, the NEA on the parameters chosen algorithm principle. Through simulation and large, the algorithm shown in a complex nonlinear optimization is fast, efficient, robust features of the strong, and the global scope effective search all the optimal solution.)
文件列表:
Debug (0, 2005-07-18)
EP.APS (20524, 2004-02-03)
EP.clw (1027, 2004-02-09)
EP.cpp (2007, 2003-03-24)
EP.dsp (4087, 2003-03-24)
EP.dsw (527, 2003-03-24)
EP.h (1280, 2003-03-24)
EP.ncb (58368, 2005-07-18)
EP.opt (55808, 2005-07-18)
EP.rc (5189, 2003-03-24)
EP2bestResult.txt (1604, 2003-04-29)
EP2Result.txt (1604, 2003-04-29)
EPDlg.cpp (8161, 2003-10-30)
EPDlg.h (1939, 2003-10-27)
example2.txt (644, 2003-04-29)
res (0, 2005-03-16)
resource.h (680, 2003-03-24)
Result_30var-32success.txt (5360, 2003-10-19)
Result_30var-32success2.txt (5376, 2003-10-21)
Result_30var-32success3.txt (5338, 2003-10-29)
Result_30var1001-19.txt (1324, 2003-10-28)
Result_30var1001-31.txt (2069, 2003-10-30)
Result_30var1001.txt (198, 2003-10-31)
Result_onevar.txt (6000, 2003-09-07)
Result_threevar.txt (1110, 2003-05-27)
res\EP.ico (1078, 2003-03-24)
res\EP.rc2 (394, 2003-03-24)
StdAfx.cpp (204, 2003-03-24)
StdAfx.h (1054, 2003-03-24)
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