uk.ac.leeds.ccg.andyt.projects.moses.process
Class GeneticAlgorithm

java.lang.Object
  uk.ac.leeds.ccg.andyt.projects.moses.process.GeneticAlgorithm

Direct Known Subclasses:

GeneticAlgorithm_HSARHP_ISARCEP, GeneticAlgorithm_ISARHP_ISARCEP

public class GeneticAlgorithm
extends java.lang.Object

An abstract class to be extended by classes that evolve a better fitting Individual and Household level data for the UK.

Field Summary

protected CASDataRecord	_CASDataRecord For holding a reference to a CASDataRecord
protected CASKS002DataRecord	_CASKS002DataRecord For holding a reference to a CASKS002DataRecord
int	_ConvergenceThreshold Stores the convergence threshold used during an optimisation
protected java.lang.Object[]	_FitnessCounts For holding fitness counts
protected IndividualCensus	_IndividualCensus For holding a reference to the IndividualCensus class which instantiated this.
int	_InitialPopulationSize Stores the initial population size for an optimisation
int	_MaxNumberOfMutationsPerChild Stores the maximum number of mutations or changes per child used during an optimisation
int	_MaxNumberOfMutationsPerParent Stores the maximum number of mutations or changes per parent used during an optimisation
int	_MaxNumberOfSolutions Stores the maximum number of solutions stored during an optimisation
int	_NumberOfOptimisationIterations Stores the number of optimisation iterations of an optimisation
protected java.util.Random	_Random For holding a reference to a random number generator.
protected long	_RandomSeed For storing the seed for random number generation.

Constructor Summary

GeneticAlgorithm()

GeneticAlgorithm(int _InitialPopulationSize, int _NumberOfOptimisationIterations, int _MaxNumberOfSolutions, int _ConvergenceThreshold, int _MaxNumberOfMutationsPerChild, int _MaxNumberOfMutationsPerParent, long _RandomSeed)

Method Summary

Methods inherited from class java.lang.Object

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

Field Detail

_IndividualCensus

protected IndividualCensus _IndividualCensus

For holding a reference to the IndividualCensus class which instantiated this.

_InitialPopulationSize

public int _InitialPopulationSize

Stores the initial population size for an optimisation

_MaxNumberOfSolutions

public int _MaxNumberOfSolutions

Stores the maximum number of solutions stored during an optimisation

_ConvergenceThreshold

public int _ConvergenceThreshold

Stores the convergence threshold used during an optimisation

_MaxNumberOfMutationsPerChild

public int _MaxNumberOfMutationsPerChild

Stores the maximum number of mutations or changes per child used during an optimisation

_MaxNumberOfMutationsPerParent

public int _MaxNumberOfMutationsPerParent

Stores the maximum number of mutations or changes per parent used during an optimisation

_NumberOfOptimisationIterations

public int _NumberOfOptimisationIterations

Stores the number of optimisation iterations of an optimisation

_Random

protected java.util.Random _Random

For holding a reference to a random number generator.

_RandomSeed

protected long _RandomSeed

For storing the seed for random number generation.

_FitnessCounts

protected java.lang.Object[] _FitnessCounts

For holding fitness counts

_CASDataRecord

protected CASDataRecord _CASDataRecord

For holding a reference to a CASDataRecord

_CASKS002DataRecord

protected CASKS002DataRecord _CASKS002DataRecord

For holding a reference to a CASKS002DataRecord

Constructor Detail

GeneticAlgorithm

public GeneticAlgorithm()

GeneticAlgorithm

public GeneticAlgorithm(int _InitialPopulationSize,
                        int _NumberOfOptimisationIterations,
                        int _MaxNumberOfSolutions,
                        int _ConvergenceThreshold,
                        int _MaxNumberOfMutationsPerChild,
                        int _MaxNumberOfMutationsPerParent,
                        long _RandomSeed)