//************************************
// Method: constructSolutions
// FullName: CAntColonySystem::constructSolutions
// Access: virtual public
// Returns: void
// Qualifier:
//************************************
void CAntColonySystem::constructSolutions()
{
m_tourTime.startTimer();
//clear ants memory and shuffle start pos
initAnts();
//place ants in ramdom citys for starting
for (size_t k = 0; k < m_Ants.size(); k++ )
{
m_Ants[k].setAntCity(0,m_randomPath[k]);
m_Ants[k].setCityVisited(m_randomPath[k]);
}
uniform_real<double> rndSelTrsh(0.0, 1.0);
uniform_real<double> m_ChoiceExplore(0.0 , 1.0);
for(size_t step = 1 ; step < m_noNodes; step++)
{
for(size_t k = 0; k < m_Ants.size(); k++)
{
decisionRule(k,step, rndSelTrsh, m_ChoiceExplore);
// localPheromoneUpdate(k,m_Ants[k].getCity(step));
}
}
for(size_t k = 0; k < m_Ants.size(); k++)
{
int tourstart=m_Ants[k].getCity(0);
m_Ants[k].setAntCity(m_noNodes,tourstart);
m_Ants[k].setAntTourLength((int)this->calculateAntPathLength(m_Ants[k]));
// size_t idx1 = this->m_Ants[k].getCity(m_noNodes);
// size_t idx2 = m_Ants[k].getCity(m_noNodes-1);
// m_newPheromoneMatrix->local_pheromone_update(m_noNodes-1, m_Ants[k].getAntsCityTour()[0] ,xi, tau0);
// localPheromoneEndIndexUpdate(idx1, idx2);
}
for(size_t k = 0; k < m_Ants.size(); k++)
for(size_t i=0;i<m_Ants[k].getAntsCityTour().size();i++)
{
if(i==0)
m_newPheromoneMatrix->local_pheromone_update(m_noNodes-1, m_Ants[k].getAntsCityTour()[i] ,xi, tau0);
else
m_newPheromoneMatrix->local_pheromone_update(m_Ants[k].getAntsCityTour()[i-1], m_Ants[k].getAntsCityTour()[i],xi , tau0 );
}
m_tourStats.tourAverageTime = (m_tourTime.getElapsedTime())/ (m_Ants.size()-1);
m_tourTime.stopTimer();
updateBestSoFarPath();
}
void main(void)
{
FILE*fid1;
FILE*fid2;
FILE*fid3;
fid1=fopen("hiddenweights","r");
fid2=fopen("outputweights","r");
fid3=fopen("inputvalues","r");
double *ptrhid=&hiddenWeights;
double *ptrout=&outputWeights;
double *ptrin=&inputVector;
fread(ptrhid,sizeof(double),numberofHiddenUnits*inputDimension,fid1);
fread(ptrout,sizeof(double),numberofHiddenUnits*outputDimension,fid2);
fread(ptrin,sizeof(double),inputDimension,fid3);
fclose(fid1);
fclose(fid2);
fclose(fid3);
activationfunction=logisticSigmoid;
dActivationFunction=dLogisticSigmoid;
evaluateTwoLayerPerceptron();
decisionRule();
}
