sot::GASampling Class Reference

Use a GA to minimize the surrogate. More...

#include <adaptive_sampling.h>

Inheritance diagram for sot::GASampling:

Public Member Functions
	GASampling (const std::shared_ptr< Problem > &data, const std::shared_ptr< Surrogate > &surf, int numIndividuals, int numGenerations)
	Constructor. More...
void	reset (int budget)
	Virtual method for reseting the object. More...
mat	makePoints (const vec &xBest, const mat &points, const vec &sigma, int newPoints)
	Virtual method for proposing new evaluations. More...

Protected Attributes
std::shared_ptr< Problem >	mData
std::shared_ptr< Surrogate >	mSurf
int	mDim
vec	mxLow
vec	mxUp
int	mNumIndividuals
int	mNumGenerations
double	mDistTol

Detailed Description

Use a GA to minimize the surrogate.

This method generates each candidate points as a uniformly chosen point from the domain.

Author

David Eriksson, dme65.nosp@m.@cor.nosp@m.nell..nosp@m.edu

Constructor & Destructor Documentation

sot::GASampling::GASampling ( const std::shared_ptr< Problem > &  data, const std::shared_ptr< Surrogate > &  surf, int  numIndividuals, int  numGenerations  )

inline

Constructor.

Parameters

data	A shared pointer to the optimization problem
surf	A shared pointer to the surrogate model
numIndividuals	Population size
numGenerations	Number of generations

Member Function Documentation

mat sot::GASampling::makePoints ( const vec &  xBest, const mat &  points, const vec &  sigma, int  newPoints  )

inlinevirtual

Virtual method for proposing new evaluations.

Parameters

xBest	The best solution found so far
points	Previously evaluated points
sigma	The sampling radius for each dimension
newPoints	Number of new evaluations to be generated

Returns

The proposed points

Implements sot::Sampling.

void sot::GASampling::reset ( int  budget )

inlinevirtual

Virtual method for reseting the object.

Parameters

budget

The remaining evaluation budget

Implements sot::Sampling.

Member Data Documentation

std::shared_ptr<Problem> sot::GASampling::mData

protected

A shared pointer to the optimization problem

int sot::GASampling::mDim

protected

Number of dimensions (extracted from mData)

double sot::GASampling::mDistTol

protected

Distance tolerance

int sot::GASampling::mNumGenerations

protected

Number of generations

int sot::GASampling::mNumIndividuals

protected

Population size

std::shared_ptr<Surrogate> sot::GASampling::mSurf

protected

A shared pointer to the surrogate model

vec sot::GASampling::mxLow

protected

Lower variable bounds (extracted from mData)

vec sot::GASampling::mxUp

protected

Upper variable bounds (extracted from mData)

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The documentation for this class was generated from the following file:

• include/sot_bits/adaptive_sampling.h