/**
?*?@file?example1.cpp
?*?Very?short?example?source?code.?The?purpose?of?the?example?codes?is?to?be
?*?edited/extended.
?*/

#include?
#include?
#include?“cmaes.h“

/**
?*?例子：擬合y=2*x+1
?*/

double?x_t[15]?=?{123456789};
double?y_t[15]?=?{35791113151719};


/**
?*?fitfun擬合函數（損失函數）
?*/
double?fitfun（double?const?*x?int?N）
{
????double?sum?=?0;
????for（int?i=0;?i<9;?i++）
????{
????????sum+=（（x[0]*x_t[i]+x[1]）?-?y_t[i]）*（（x[0]*x_t[i]+x[1]）?-?y_t[i]）;
????}
????return?sum;
}


int?main（int?char**）
{
????CMAES?evo;
????double?*arFunvals?*const*pop?*xfinal*xx;

????/**
?????*?這里設置參數個數，目前為2
?????*/
????const?int?dim?=?2;???//
????double?xstart[dim];
????for（int?i=0;?i????double?stddev[dim];
????for（int?i=0;?i????Parameters?parameters;

????parameters.init（dim?xstart?stddev）;
????arFunvals?=?evo.init（parameters）;

????std::cout?<

????while（!evo.testForTermination（））
????{
????????pop?=?evo.samplePopulation（）;
????????for?（int?i?=?0;?i?::Lambda）;?++i）
????????????arFunvals[i]?=?fitfun（pop[i]?（int）?evo.get（CMAES::Dimension））;
????????evo.updateDistribution（arFunvals）;
????????xx?=?evo.getNew（CMAES::XMean）;
????????/**
?????????*?xx為中間的參數值，可在此判斷準確率
?????????*/
????}
????std::cout?<????evo.writeToFile（CMAES::WKResume?“resumeevo1.dat“）;
????/**
?????*?xfinal為擬合的參數最終結果
?????*/
????xfinal?=?evo.getNew（CMAES::XMean）;
????for（int?i=0;?i????std::cout<
????delete[]?xfinal;

????return?0;
}

?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----
?????目錄???????????0??2018-05-07?10:09??CMAES\
?????文件???????51429??2013-08-02?05:00??CMAES\cmaes.h
?????文件????????1831??2018-05-07?10:08??CMAES\example.cpp
?????文件???????10456??2013-08-02?05:00??CMAES\parameters.h
?????文件????????1795??2013-08-02?05:00??CMAES\random.h
?????文件????????2338??2013-08-02?05:00??CMAES\timings.h
?????文件?????????993??2013-08-02?05:00??CMAES\utils.h