bool SimulatedAnnealing::transitionAccepted(IBestSolutionManager& bestSolutionManager, ISolution& currentSolution, ISolution& newSolution, ALNS_Iteration_Status& status)
{
double temperature = coolingSchedule->getCurrentTemperature();
if(newSolution < currentSolution)
{
return true;
}
else
{
double difference = newSolution.getPenalizedObjectiveValue() - currentSolution.getPenalizedObjectiveValue();
double randomVal = static_cast<double>(rand())/static_cast<double>(RAND_MAX);
return (exp(-1*difference/temperature)>randomVal);
}
}
ExponentialCoolingSchedule::ExponentialCoolingSchedule(ISolution& initSol, CoolingSchedule_Parameters& csParam) {
// The fields are instantiated to default values.
this->maximumIt = csParam.maxIt;
this->currentIt = 0;
this->currentThreshold = 0;
this->nbThresholds = csParam.nbThresholds;
this->decreasingFactor = csParam.expPercentageKept;
this->runTime = csParam.maxRT;
currentTemperature = (csParam.setupPercentage*initSol.getPenalizedObjectiveValue())/(-log(0.5));
}
MixLinearCoolingSchedule::MixLinearCoolingSchedule(ISolution& initSol, CoolingSchedule_Parameters& csParam) {
startTemperature = (csParam.setupPercentage*initSol.getPenalizedObjectiveValue())/(-log(0.5));
runTime = csParam.maxRT;
maxIt = csParam.maxIt;
currentIt = 0;
}
