com.ibm.able.examples.genetic
Class TstGeneticFunction2a

java.lang.Object
  com.ibm.able.beans.AbleGeneticObject
      com.ibm.able.examples.genetic.TstGeneticFunction2a

All Implemented Interfaces:

java.io.Serializable

public class TstGeneticFunction2a

extends AbleGeneticObject

This class implements the F6 function described in the first chapter of The Handbook of Genetic Algorithms (Davis) Is used a hybrid (numeric) chromosome representation

See Also:

Serialized Form

Field Summary

static double	factor
protected static long	serialVersionUID Serialized version identifier in form YYYYMMDDVerRelModxx

Fields inherited from class com.ibm.able.beans.AbleGeneticObject

chromosome, chromosomeLength, chromosomeType, crossoverRate, evaluationAgent, fitness, fitnessComputed, member, mutationRate, normalizedFitness, searchAgent, vocabulary

Constructor Summary

TstGeneticFunction2a()

Method Summary

java.lang.Object[]	average(java.lang.Object[] parents) Given 2 parent chromosomes Average their values , creating 2 children chromosomes
double	computeFitness() just add up the number of ones in the chromosome
protected double	f6(double x, double y)
double	getFitness() return the fitness value for this member Note: use computeFitness() to do the computation
java.util.Hashtable	getOperatorFitness() Return a hashtable of operator names (keys) and fitness values (Doubles) fitness values must sum to 100 Note: this hashtable may be extended to using operator fitness objects vs fixed values so that we can adapt the operators selection during the search process
java.lang.Object	getRandomChromosome() generate a random chromosome for this genetic object
double[]	mutateChromosome(double[] chromosome) Mutate a single chromosome.
java.lang.Object[]	onePointCrossoverAndMutate(java.lang.Object[] parents) Given 2 parent chromosomes Do a single point crossover (or not), creating 2 children chromosomes And mutate bits at the specified rate
void	registerOperators(AbleAgent agent) Register any unique or overridden operators (user-defined functions) with the SearchAgent.
java.lang.String	toString() return a string formatted for display default is the chromosome string and fitness if chromosome is not a string, then just fitness is returned Subclasses should override if necessary

Methods inherited from class com.ibm.able.beans.AbleGeneticObject

binaryToInteger, generateRandomChromosome, getBean, getChromosome, getChromosomeLength, getChromosomeType, getCrossoverRate, getMutationRate, getNormalizedFitness, getVocabulary, initBean, initEvaluationAgent, mutate, mutateChromosome, onePointCrossover, removeBean, setChromosome, setCrossoverRate, setEvaluationAgent, setMutationRate, setNormalizedFitness, twoPointCrossover, uniformCrossover

Methods inherited from class java.lang.Object

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

Field Detail

serialVersionUID

protected static final long serialVersionUID

Serialized version identifier in form YYYYMMDDVerRelModxx

See Also:

Constant Field Values

factor

public static final double factor

See Also:

Constant Field Values

Constructor Detail

TstGeneticFunction2a

public TstGeneticFunction2a()

Method Detail

getFitness

public double getFitness()

Description copied from class: AbleGeneticObject

return the fitness value for this member Note: use computeFitness() to do the computation

Overrides:

getFitness in class AbleGeneticObject

getRandomChromosome

public java.lang.Object getRandomChromosome()

generate a random chromosome for this genetic object

Overrides:

getRandomChromosome in class AbleGeneticObject

computeFitness

public double computeFitness()

just add up the number of ones in the chromosome

Overrides:

computeFitness in class AbleGeneticObject

Returns:

the fitness value for this population member

f6

protected double f6(double x,
                    double y)

mutateChromosome

public double[] mutateChromosome(double[] chromosome)

Mutate a single chromosome. Note: this operator does a bitwise test against the mutationRate and then rolls the dice to select a delta to the current value

Parameters:

chromosome - The original chromosome array.

Returns:

the (potentially) mutated chromosome array.

onePointCrossoverAndMutate

public java.lang.Object[] onePointCrossoverAndMutate(java.lang.Object[] parents)

Given 2 parent chromosomes Do a single point crossover (or not), creating 2 children chromosomes And mutate bits at the specified rate

Overrides:

onePointCrossoverAndMutate in class AbleGeneticObject

average

public java.lang.Object[] average(java.lang.Object[] parents)

Given 2 parent chromosomes Average their values , creating 2 children chromosomes

getOperatorFitness

public java.util.Hashtable getOperatorFitness()
                                       throws AbleException

Return a hashtable of operator names (keys) and fitness values (Doubles) fitness values must sum to 100 Note: this hashtable may be extended to using operator fitness objects vs fixed values so that we can adapt the operators selection during the search process

Overrides:

getOperatorFitness in class AbleGeneticObject

Returns:

the hashtable with operator fitness values

Throws:

AbleException

registerOperators

public void registerOperators(AbleAgent agent)

Register any unique or overridden operators (user-defined functions) with the SearchAgent.

Overrides:

registerOperators in class AbleGeneticObject

Parameters:

agent - The search agent.

toString

public java.lang.String toString()

return a string formatted for display default is the chromosome string and fitness if chromosome is not a string, then just fitness is returned Subclasses should override if necessary

Overrides:

toString in class AbleGeneticObject

Returns:

a string formatted for display purposes