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.

Debug
EP.APS
EP.clw
EP.cpp
EP.dsp
EP.dsw
EP.h
EP.ncb
EP.opt
EP.rc
EP2bestResult.txt
EP2Result.txt
EPDlg.cpp
EPDlg.h
example2.txt
ReadMe.txt
res

...\EP.rc2
resource.h
Result_30var-32success.txt
Result_30var-32success2.txt
Result_30var-32success3.txt
Result_30var1001-19.txt
Result_30var1001-31.txt
Result_30var1001.txt
Result_onevar.txt
Result_threevar.txt
StdAfx.cpp
StdAfx.h

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