BlackBoxOptimisationBenchmark::BlackBoxOptimisationBenchmark(
     const arma::uword numberOfDimensions)
     : OptimisationProblem(numberOfDimensions) {
   // A vector with all elements set to -5.
   setLowerBounds(arma::zeros<arma::Col<double>>(numberOfDimensions_) - 5.0);
   // A vector with all elements set to 5.
   setUpperBounds(arma::zeros<arma::Col<double>>(numberOfDimensions_) + 5.0);
   // The objective value translation is randomly chosen from a Cauchy distribution with an approximate 50% chance to be within [-100, 100], rounded up to 2 decimal places.
   // The translation is further bounded between -1000 and 1000.
   setObjectiveValueTranslation(std::min(1000.0, std::max(-1000.0, std::floor(std::cauchy_distribution<double>(0.0, 100.0)(Rng::getGenerator()) * 100.0) / 100.0)));
   setAcceptableObjectiveValue(objectiveValueTranslation_ + 1.0e-8);
 }
Exemplo n.º 2
0
 OptimisationProblem<T>::OptimisationProblem(
     const std::size_t numberOfDimensions) noexcept
   : numberOfDimensions_(numberOfDimensions) {
   reset();
   
   // A vector with all elements set to the lowest representable value.
   setLowerBounds(arma::zeros<arma::Col<T>>(numberOfDimensions_) - std::numeric_limits<T>::max());
   // A vector with all elements set to the largest representable value.
   setUpperBounds(arma::zeros<arma::Col<T>>(numberOfDimensions_) + std::numeric_limits<T>::max());
   
   // (0, ..., numberOfDimensions - 1) 
   setParameterPermutation(arma::linspace<arma::Col<unsigned int>>(0, numberOfDimensions_ - 1, numberOfDimensions));
     
   setParameterScaling(arma::ones<arma::Col<T>>(numberOfDimensions_));
   setParameterTranslation(arma::zeros<arma::Col<T>>(numberOfDimensions_));
   setParameterRotation(arma::eye<arma::Mat<T>>(numberOfDimensions_, numberOfDimensions_));
   
   setObjectiveValueScaling(1.0);
   setObjectiveValueTranslation(0.0);
   setAcceptableObjectiveValue(std::numeric_limits<double>::lowest());
 }
Exemplo n.º 3
0
VariableSettings::VariableSettings( const VariableSettings& rhs )
{
	uint i;

	dim = rhs.dim;
	type = rhs.type;

	if ( rhs.names != 0 )
	{
		names = (char**) calloc( dim,sizeof(char*) );
		for( i=0; i<dim; ++i )
		{
			names[i] = new char[MAX_LENGTH_NAME+1];
			setName( i,rhs.names[i] );
		}
	}
	else
	{
		names = 0;
	}

	if ( rhs.units != 0 )
	{
		units = (char**) calloc( dim,sizeof(char*) );
		for( i=0; i<dim; ++i )
		{
			units[i] = new char[MAX_LENGTH_NAME+1];
			setUnit( i,rhs.units[i] );
		}
	}
	else
	{
		units = 0;
	}


	if ( rhs.scaling.isEmpty( ) == BT_FALSE )
	{
		scaling.init( dim );
		setScaling( rhs.scaling );
	}
	else
	{
		scaling.init( );
	}

	if ( rhs.lb.isEmpty( ) == BT_FALSE )
	{
		lb.init( dim );
		setLowerBounds( rhs.lb );
	}
	else
	{
		lb.init( );
	}

	if ( rhs.ub.isEmpty( ) == BT_FALSE )
	{
		ub.init( dim );
		setUpperBounds( rhs.ub );
	}
	else
	{
		ub.init( );
	}

	autoInit = rhs.autoInit;
}