iterator
Class TwoStageRiskPerfAlgoBuilder<T extends BasicBoundConstrainedProblem,V extends MultiObjectiveDiviner,W extends NSGA2>

java.lang.Object
  iterator.AbstractIterator
      iterator.AbstractOptimizer<T>
          iterator.AbstractPointOptimizer<T>
              iterator.TwoStageRiskPerfAlgoBuilder<T,V,W>

All Implemented Interfaces:

DataListener, Iterable, LoggableIterator, RepeatableLoggableIterator

Direct Known Subclasses:

MultiPointRiskPerfAlgoBuilder

public class TwoStageRiskPerfAlgoBuilder<T extends BasicBoundConstrainedProblem,V extends MultiObjectiveDiviner,W extends NSGA2>
extends AbstractPointOptimizer<T>
implements RepeatableLoggableIterator

Sets up a two-stage optimization algorithm and solves it. Might have multifidelity problems, constrained problems, various kinds of diviners, etc., but the overall algorithm is the same. Uses the Java 'builder' pattern, which is standard for setting up a complex object and then using it. The best way to instantiate and use this class is by using the spring framework.

Author:

dgorur

Field Summary

Fields inherited from class iterator.AbstractOptimizer

doubleFormat, funEvalCount, logWriter

Fields inherited from class iterator.AbstractIterator

diagnosticString, iter

Constructor Summary

TwoStageRiskPerfAlgoBuilder()

Method Summary

protected double[]	computeNextPoint() NOTE: Does nothing!
java.util.ArrayList<ApproxModel>	getApproxModels() Returns the list of approximation models.
W	getAuxOptimizer() Returns the auxiliary optimizer.
MultiObjectiveProblem	getAuxProblem() Returns the auxiliary problem.
int	getCalibrationInterval()
V	getDiviner() Returns the diviner.
protected int	getFunEvalCount() Returns the number of function evaluations.
TwoStageRiskPerfOptimizer<T,W>	getMainOptimizer() Returns the main optimizer.
int	getMaxFunEval() Returns the maximum number of allowed function evaluations.
T	getProblem() Returns the main problem.
int	getRandomSeed() Returns the random seed.
void	init() Initialization routine
boolean	isTerminated() Returns true if termination criteria are satisfied.
protected void	printDiagnostics() Prints diagnostic output.
void	setApproxModels(java.util.ArrayList<ApproxModel> approxModels) Sets the list of approximation models.
void	setAuxOptimizer(W auxOptimizer) Sets the auxiliary optimizer.
void	setAuxProblem(MultiObjectiveProblem auxProblem) Sets the auxiliary optimization problem.
void	setCalibrationInterval(int calibrationInterval)
void	setDiviner(V diviner) Sets the diviner.
protected void	setFunEvalCount(int funEvalCount) Sets the number of function evaluations.
void	setMainOptimizer(TwoStageRiskPerfOptimizer<T,W> mainOptimizer) Sets the main optimizer.
void	setMaxFunEval(int maxFunEval) Sets the maximum number of allowed function evaluations.
void	setProblem(T mainProblem) Sets the problem.
void	setRandomSeed(int randomSeed) Sets the random seed.
void	singleIteration() Performs a single iteration.
protected void	update() Any updates that need to be performed at each iteration are encapsulated in this routine.

Methods inherited from class iterator.AbstractOptimizer

clear, dataAdded, dataAdded, dataRemoved, dataRemoved, getDataHandler, getLogFileName, iterate, setDataHandler, setLogFileName, updateDiagnostics, writeInitialRunLog

Methods inherited from class iterator.AbstractIterator

isVerbose, setVerbose

Methods inherited from class java.lang.Object

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

Methods inherited from interface iterator.LoggableIterator

getLogFileName, setLogFileName

Methods inherited from interface iterator.Iterable

iterate

Constructor Detail

TwoStageRiskPerfAlgoBuilder

public TwoStageRiskPerfAlgoBuilder()

Method Detail

getApproxModels

public java.util.ArrayList<ApproxModel> getApproxModels()

Returns the list of approximation models.

Returns:

the list of approximation models.

getAuxOptimizer

public W getAuxOptimizer()

Returns the auxiliary optimizer.

Returns:

the auxiliary optimizer.

getAuxProblem

public MultiObjectiveProblem getAuxProblem()

Returns the auxiliary problem.

Returns:

the auxiliary problem.

getCalibrationInterval

public int getCalibrationInterval()

getDiviner

public V getDiviner()

Returns the diviner.

Returns:

the diviner.

getMainOptimizer

public TwoStageRiskPerfOptimizer<T,W> getMainOptimizer()

Returns the main optimizer.

Returns:

the main optimizer.

getMaxFunEval

public int getMaxFunEval()

Description copied from class: AbstractOptimizer

Returns the maximum number of allowed function evaluations.

Overrides:

getMaxFunEval in class AbstractOptimizer<T extends BasicBoundConstrainedProblem>

Returns:

max function evaluations allowed.

getProblem

public T getProblem()

Returns the main problem.

Overrides:

getProblem in class AbstractOptimizer<T extends BasicBoundConstrainedProblem>

Returns:

the problem.

getRandomSeed

public int getRandomSeed()

Description copied from interface: RepeatableLoggableIterator

Returns the random seed.

Specified by:

getRandomSeed in interface RepeatableLoggableIterator

Returns:

the random seed.

init

public void init()

Description copied from interface: Iterable

Initialization routine

Specified by:

init in interface Iterable

Overrides:

init in class AbstractOptimizer<T extends BasicBoundConstrainedProblem>

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.

setApproxModels

public void setApproxModels(java.util.ArrayList<ApproxModel> approxModels)

Sets the list of approximation models.

Parameters:

approxModels - the given list of approximation models.

setAuxOptimizer

public void setAuxOptimizer(W auxOptimizer)

Sets the auxiliary optimizer.

Parameters:

auxOptimizer - the given auxiliary optimizer.

setAuxProblem

public void setAuxProblem(MultiObjectiveProblem auxProblem)

Sets the auxiliary optimization problem.

Parameters:

auxProblem - the given auxiliary optimization problem.

setCalibrationInterval

public void setCalibrationInterval(int calibrationInterval)

setDiviner

public void setDiviner(V diviner)

Sets the diviner.

Parameters:

diviner - the given diviner.

setMainOptimizer

public void setMainOptimizer(TwoStageRiskPerfOptimizer<T,W> mainOptimizer)

Sets the main optimizer.

Parameters:

mainOptimizer - the given main optimizer.

setMaxFunEval

public void setMaxFunEval(int maxFunEval)

Description copied from class: AbstractOptimizer

Sets the maximum number of allowed function evaluations.

Overrides:

setMaxFunEval in class AbstractOptimizer<T extends BasicBoundConstrainedProblem>

Parameters:

maxFunEval - the given maxFunEval.

setProblem

public void setProblem(T mainProblem)

Sets the problem.

Overrides:

setProblem in class AbstractOptimizer<T extends BasicBoundConstrainedProblem>

Parameters:

mainProblem - the given problem.

setRandomSeed

public void setRandomSeed(int randomSeed)

Description copied from interface: RepeatableLoggableIterator

Sets the random seed.

Specified by:

setRandomSeed in interface RepeatableLoggableIterator

Parameters:

randomSeed - the given random seed.

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>

computeNextPoint

protected double[] computeNextPoint()

NOTE: Does nothing!

Specified by:

computeNextPoint in class AbstractPointOptimizer<T extends BasicBoundConstrainedProblem>

Returns:

the next design to be evaluated.

See Also:

AbstractPointOptimizer.computeNextPoint()

getFunEvalCount

protected int getFunEvalCount()

Description copied from class: AbstractOptimizer

Returns the number of function evaluations.

Overrides:

getFunEvalCount in class AbstractOptimizer<T extends BasicBoundConstrainedProblem>

Returns:

the number of function evaluations.

printDiagnostics

protected void printDiagnostics()

Description copied from class: AbstractIterator

Prints diagnostic output.

Overrides:

printDiagnostics in class AbstractIterator

setFunEvalCount

protected void setFunEvalCount(int funEvalCount)

Description copied from class: AbstractOptimizer

Sets the number of function evaluations.

Overrides:

setFunEvalCount in class AbstractOptimizer<T extends BasicBoundConstrainedProblem>

Parameters:

funEvalCount - the given number of evaluations.

update

protected void update()

Any updates that need to be performed at each iteration are encapsulated in this routine.