ACS::ACS(ParamMap &v) : m_beta(2), m_Q(0.9), m_NC(2500), m_coeff(0.1), m_saveFre(1500), m_num(0), Population<CodeVInt, Ant>(int(v[param_popSize])), \
m_globalBest(), m_isHaveGlobalBest(false), m_impRadio(0)
{
mvv_phero.resize(int(v[param_numDim]));
for (int i = 0; i<int(v[param_numDim]); i++)
mvv_phero[i].resize(int(v[param_numDim]));
m_stopCriterion = MIN_COVER;
m_t = getLenOfNN();
m_t = 1.0 / (int(v[param_numDim]) * m_t);
if (m_stopCriterion == MIN_COVER){
m_term.reset(new TermMean(v));
}
else if (m_stopCriterion == MAX_GEN){
m_term.reset(new TermMaxGen(v));
}
}
void MMAS::setDefaultParameters()
{
m_alpha = 1.0;
m_beta = 2.0;
m_length = 20;
m_rho = 0.02;
m_branchFrc = 1.00001;
m_lambda = 0.05;
m_uGB = LONG_MAX;
m_iter = 1;
m_restartFoundBest = 0;
TravellingSalesman * ptr = dynamic_cast<TravellingSalesman*>(Global::msp_global->mp_problem.get());
double temp = getLenOfNN();
m_pheroMax = 1. / (m_rho * temp);
m_pheroMin = m_pheroMax / (2. * m_globalBest.getNumDim());
}
ACS::ACS(double beta, double Q, int Popsize, int NC, int numDim, double coeff) :m_beta(beta), m_Q(Q), m_isHaveGlobalBest(false), \
m_NC(NC), m_coeff(coeff), m_saveFre(1500), m_num(0), Population<CodeVInt, Ant>(Popsize), m_globalBest(), m_impRadio(0)
{
mvv_phero.resize(numDim);
for (int i = 0; i<numDim; i++)
mvv_phero[i].resize(numDim);
m_stopCriterion = MIN_COVER;
m_t = getLenOfNN();
m_t = 1.0 / (numDim * m_t);
if (m_stopCriterion == MIN_COVER){
m_term.reset(new TermMean(Global::g_arg));
}
else if (m_stopCriterion == MAX_GEN){
m_term.reset(new TermMaxGen(Global::g_arg));
}
}
