DistributedEvolutionaryAlgorithmsFramework
Class Individual

java.lang.Object
  DistributedEvolutionaryAlgorithmsFramework.Individual

All Implemented Interfaces:

java.lang.Comparable<Individual>, org.apache.hadoop.io.Writable, org.apache.hadoop.io.WritableComparable<Individual>

public class Individual
extends java.lang.Object
implements org.apache.hadoop.io.WritableComparable<Individual>

Individual used to populate Population

Constructor Summary

Individual(Population pop, java.io.DataInput in)

Individual(Population pop, double[] vals)

Individual(Population pop, int d)

Method Summary

int	compareTo(Individual o)
double	getFitness()
double	getGene(int i)
double[]	getGenotype()
int	getIndex()
void	randomize() Sets genes to random values within restrictions
void	readFields(java.io.DataInput in)
void	setFitness(double f) Sets Individuals fitness to given value f
void	setGene(int ind, double val) Sets one gene to defined value val
void	setIndex(int i) Sets population index to value i
void	setPopulation(Population pop) Sets population pointer to pop
void	setValue(int i, double value) Sets value of one gene
void	setValues(double[] values) Sets whole genotype
java.lang.String	toString()
void	write(java.io.DataOutput out)

Methods inherited from class java.lang.Object

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

Constructor Detail

Individual

public Individual(Population pop,
                  int d)

Parameters:

pop - Population in which Individual will be inserted into

d - Number of dimensions

Individual

public Individual(Population pop,
                  double[] vals)

Parameters:

pop - Population in which Individual will be inserted into

vals - Array of values used as genes

Individual

public Individual(Population pop,
                  java.io.DataInput in)
           throws java.io.IOException

Parameters:

pop - Population in which Individual will be inserted into

in - DataInput with file to be read from

Throws:

java.io.IOException

Method Detail

randomize

public void randomize()

Sets genes to random values within restrictions

getGenotype

public double[] getGenotype()

Returns:

genotype array

getGene

public double getGene(int i)

Parameters:

i - index of requested gene

Returns:

gene with given index

setGene

public void setGene(int ind,
                    double val)

Sets one gene to defined value val

Parameters:

ind - Index of gene to set

val - Value to set to the gene

setFitness

public void setFitness(double f)

Sets Individuals fitness to given value f

Parameters:

f - Value to set

getFitness

public double getFitness()

Returns:

fitness of Individual

getIndex

public int getIndex()

Returns:

population index

setIndex

public void setIndex(int i)

Sets population index to value i

Parameters:

i - Index to set

toString

public java.lang.String toString()

Overrides:

toString in class java.lang.Object

setValues

public void setValues(double[] values)

Sets whole genotype

Parameters:

values -

setValue

public void setValue(int i,
                     double value)

Sets value of one gene

Parameters:

i - Index of gene to set

value - Value to set

setPopulation

public void setPopulation(Population pop)

Sets population pointer to pop

Parameters:

pop - Population to set

write

public void write(java.io.DataOutput out)
           throws java.io.IOException

Specified by:

write in interface org.apache.hadoop.io.Writable

Throws:

java.io.IOException

readFields

public void readFields(java.io.DataInput in)
                throws java.io.IOException

Specified by:

readFields in interface org.apache.hadoop.io.Writable

Throws:

java.io.IOException

compareTo

public int compareTo(Individual o)

Specified by:

compareTo in interface java.lang.Comparable<Individual>