D:/Projekt/ECF_trunk/examples/GAFunctionMin/FunctionMinEvalOp.cpp

#include <ecf/ECF.h>
#include "FunctionMinEvalOp.h"


FitnessP FunctionMinEvalOp::evaluate(IndividualP individual)
{
    // evaluation creates a new fitness object using a smart pointer
    // in our case, we try to minimize the function value, so we use FitnessMin fitness (for minimization problems)
    FitnessP fitness (new FitnessMin);

    // we define Binary as the only genotype (in the configuration file)
    Binary::Binary* gen = (Binary::Binary*) individual->getGenotype().get();
    // (you can also use boost smart pointers:)
    //BinaryP gen = boost::dynamic_pointer_cast<Binary::Binary> (individual->getGenotype());

    // alternative encoding: FloatingPoint Genotype
    //FloatingPointP gen = boost::dynamic_pointer_cast<FloatingPoint::FloatingPoint> (individual->getGenotype());
    //FloatingPoint::FloatingPoint* gen = (FloatingPoint::FloatingPoint*) individual->getGenotype().get();

    // we implement the fitness function 'as is', without any translation
    // the number of variables we read from the genotype itself (size of 'realValue' vactor)
    double realTemp = 0, value = 0;
    for (uint i = 0; i < gen->realValue.size(); i++){
        realTemp = pow((gen->realValue.at(i) - (i + 1)), 2.);
        value += realTemp;
    }

    fitness->setValue(value);
    return fitness;
}