iterator
Class AbstractInitialSampleBasedOptimizer<T extends BoundConstrainedProblem>

java.lang.Object
  iterator.AbstractIterator
      iterator.AbstractOptimizer<T>
          iterator.AbstractInitialSampleBasedOptimizer<T>

Type Parameters:

T - A subclass of BoundConstrainedProblem.

All Implemented Interfaces:

DataListener, InitialSamplesSettable, Iterable, LoggableIterator, RepeatableLoggableIterator

Direct Known Subclasses:

AbstractPopulationOptimizer

public abstract class AbstractInitialSampleBasedOptimizer<T extends BoundConstrainedProblem>
extends AbstractOptimizer<T>
implements InitialSamplesSettable, RepeatableLoggableIterator

Abstract class for an optimizer that needs a set of initial samples, rather than a single initial point. Parametrized by the type of problem it handles.

Author:

dgorur

Field Summary

protected LatinHypercube

uniform

Fields inherited from class iterator.AbstractOptimizer

doubleFormat, funEvalCount, logWriter

Fields inherited from class iterator.AbstractIterator

diagnosticString, iter

Constructor Summary

AbstractInitialSampleBasedOptimizer()

Method Summary

int	getRandomSeed() Returns the random seed.
void	init() Initialization routine
cern.colt.matrix.DoubleMatrix2D	makeInitialSamples(int sampleCount) Makes the desired number of initial samples.
void	setRandomSeed(int randomSeed) Sets the randomSeed.

Methods inherited from class iterator.AbstractOptimizer

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

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

Methods inherited from interface iterator.InitialSamplesSettable

setInitialSamples, setInitialSamples, setInitialSamples

Methods inherited from interface iterator.LoggableIterator

getLogFileName, setLogFileName

Methods inherited from interface iterator.Iterable

isTerminated, iterate, singleIteration

Field Detail

uniform

protected LatinHypercube uniform

Constructor Detail

AbstractInitialSampleBasedOptimizer

public AbstractInitialSampleBasedOptimizer()

Method Detail

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 BoundConstrainedProblem>

makeInitialSamples

public cern.colt.matrix.DoubleMatrix2D makeInitialSamples(int sampleCount)

Description copied from interface: InitialSamplesSettable

Makes the desired number of initial samples.

Specified by:

makeInitialSamples in interface InitialSamplesSettable

Returns:

a matrix containing the x-values of the desired number of initial samples.

setRandomSeed

public void setRandomSeed(int randomSeed)

Sets the randomSeed.

Specified by:

setRandomSeed in interface InitialSamplesSettable

Specified by:

setRandomSeed in interface RepeatableLoggableIterator

Parameters:

randomSeed - the given randomSeed.