void HillClimbing<T>::optimiseImplementation() noexcept {
++this->numberOfIterations_;
this->bestParameter_ = this->initialParameter_;
this->bestSoftConstraintsValue_ = this->getSoftConstraintsValue(this->initialParameter_);
this->bestObjectiveValue_ = this->getObjectiveValue(this->initialParameter_);
while(!this->isFinished() && !this->isTerminated()) {
++this->numberOfIterations_;
const arma::Col<T>& candidateParameter = this->getRandomNeighbour(this->bestParameter_, static_cast<T>(0.0L), maximalStepSize_);
updateBestParameter(candidateParameter, this->getSoftConstraintsValue(candidateParameter), this->getObjectiveValue(candidateParameter));
}
}
void SimulatedAnnealing::optimiseImplementation() {
++numberOfIterations_;
bestParameter_ = initialParameter_;
bestObjectiveValue_ = getObjectiveValue(initialParameter_);
arma::Col<double> state = bestParameter_;
while (!isFinished() && !isTerminated()) {
++numberOfIterations_;
const arma::Col<double>& candidateParameter = getRandomNeighbour(bestParameter_, arma::zeros<arma::Col<double>>(numberOfDimensions_), maximalStepSize_);
const double candidateObjectiveValue = getObjectiveValue(candidateParameter);
if (updateBestParameter(candidateParameter, candidateObjectiveValue) || isAcceptableState(candidateObjectiveValue)) {
state = candidateParameter;
}
}
}
