iterator
Class MultiPointRiskPerfOptimizer<T extends BasicBoundConstrainedProblem,V extends NSGA2>

java.lang.Object
  iterator.AbstractIterator
      iterator.AbstractOptimizer<T>
          iterator.AbstractPointOptimizer<T>
              iterator.TwoStageOptimizer<T,V>
                  iterator.TwoStageRiskPerfOptimizer<T,V>
                      iterator.MultiPointRiskPerfOptimizer<T,V>

Type Parameters:

T -

V -

All Implemented Interfaces:

DataListener, InitialSamplesSettable, Iterable, LoggableIterator

Direct Known Subclasses:

AdaptiveMultiPointRiskPerfOptimizer

public class MultiPointRiskPerfOptimizer<T extends BasicBoundConstrainedProblem,V extends NSGA2>
extends TwoStageRiskPerfOptimizer<T,V>

Multiobjective two-stage optimizer that can evaluate multiple points in a single iteration.

Author:

dgorur

Field Summary

protected cern.colt.matrix.DoubleMatrix2D

infillSample

Fields inherited from class iterator.AbstractOptimizer

doubleFormat, funEvalCount, logWriter

Fields inherited from class iterator.AbstractIterator

diagnosticString, iter

Constructor Summary

MultiPointRiskPerfOptimizer()

Method Summary

cern.colt.matrix.DoubleMatrix2D	constructInfillSample()
ApproxModel	getApproxModel() Returns the approxModel.
int	getInfillSampleSize() Returns the infillSampleSize.
boolean	isTerminated() Returns true if termination criteria are satisfied.
void	setApproxModel(ApproxModel gp) Sets the approxModel.
void	setInfillSampleSize(int infillSampleSize) Sets the infillSampleSize.
void	singleIteration() Performs a single iteration.

Methods inherited from class iterator.TwoStageRiskPerfOptimizer

computeNextPoint, getDeltaFraction, includeBestDesign, setDeltaFraction

Methods inherited from class iterator.TwoStageOptimizer

getAuxiliaryOptimizer, getInitialSampleCount, getRandomSeed, init, makeInitialSamples, setAuxiliaryOptimizer, setInitialSampleCount, setInitialSamples, setInitialSamples, setInitialSamples, setRandomSeed, updateDiagnostics, writeInitialRunLog

Methods inherited from class iterator.AbstractOptimizer

clear, dataAdded, dataAdded, dataRemoved, dataRemoved, getDataHandler, getFunEvalCount, getLogFileName, getMaxFunEval, getProblem, iterate, setDataHandler, setFunEvalCount, setLogFileName, setMaxFunEval, setProblem

Methods inherited from class iterator.AbstractIterator

isVerbose, printDiagnostics, setVerbose

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

infillSample

protected cern.colt.matrix.DoubleMatrix2D infillSample

Constructor Detail

MultiPointRiskPerfOptimizer

public MultiPointRiskPerfOptimizer()

Method Detail

getApproxModel

public ApproxModel getApproxModel()

Returns the approxModel.

Returns:

the approxModel.

setApproxModel

public void setApproxModel(ApproxModel gp)

Sets the approxModel.

Parameters:

approxModel - the given approxModel.

getInfillSampleSize

public int getInfillSampleSize()

Returns the infillSampleSize.

Returns:

the infillSampleSize.

setInfillSampleSize

public void setInfillSampleSize(int infillSampleSize)

Sets the infillSampleSize.

Parameters:

infillSampleSize - the given infillSampleSize.

singleIteration

public void singleIteration()

Description copied from interface: Iterable

Performs a single iteration.

Specified by:

singleIteration in interface Iterable

Overrides:

singleIteration in class AbstractPointOptimizer<T extends BasicBoundConstrainedProblem>

constructInfillSample

public cern.colt.matrix.DoubleMatrix2D constructInfillSample()

Returns:

isTerminated

public boolean isTerminated()

Description copied from interface: Iterable

Returns true if termination criteria are satisfied.

Specified by:

isTerminated in interface Iterable

Overrides:

isTerminated in class AbstractOptimizer<T extends BasicBoundConstrainedProblem>

Returns:

true when done.