simeqs.cpp

相当不错的

#include "Genetik_R.hpp"    // Header files, 
                            // Genetik class,
				    // Chromosome class,
                            // Randoms
       

//------------------------------------------------------------------
// **** Nonlinear sim. equations
// **** Answer --> X={1,2,3}
//------------------------------------------------------------------
double simEqs (double x[])
{
        double  f1,f2,f3,
                x1=x[0],
                x2=x[1],
                x3=x[2];
        f1 = x1+exp(x1-1.0)+pow(x2+x3,2)-27.0;
        f2 = exp(x2-2.0)/x1+x3*x3-10.0;
        f3 = x3+sin(x2-2.0)+x2*x2-7.0;
        return  (f1*f1+f2*f2+f3*f3);       //Least square
}

void main()
{                          
    double xLimit[3]={10.0,10.0,10.0};     // Upper limits
    double nLimit[3]={0.01,0.01,0.01};     // Lower limits
 
    Genetik eqs				//Create Genetik object eqs
        (
        simEqs,				//Objective or fitness function
        3,					//Number of variables
        100,				//Population size
        0.85,				//Probability of crossover
        0.05,				//Probability of mutation
	  0.95,				//Probability of win
        5.0,				//Mutation parameter
        xLimit,				//Upper limits
        nLimit				//Lower limits
        );
	eqs.runGa(100,20);		//Run 100 generations
						//Print each 20 generation
    
}