orbital.algorithm.evolutionary
Class GeneticAlgorithm.Configuration

java.lang.Object
  orbital.algorithm.template.AlgorithmicTemplate.Configuration
      orbital.algorithm.evolutionary.GeneticAlgorithm.Configuration

All Implemented Interfaces:

java.io.Serializable, AlgorithmicConfiguration

Enclosing class:

GeneticAlgorithm

public static class GeneticAlgorithm.Configuration
extends AlgorithmicTemplate.Configuration

Algorithmic configuration objects for genetic algorithms.

Author:

André Platzer

See Also:

Serialized Form

Constructor Summary

GeneticAlgorithm.Configuration(GeneticAlgorithmProblem problem, Function selector, java.lang.Class algorithm)

GeneticAlgorithm.Configuration(GeneticAlgorithmProblem problem, Function selector, double maximumRecombination, double maximumMutation, java.lang.Class algorithm)

GeneticAlgorithm.Configuration(GeneticAlgorithmProblem problem, Function selector, int parentCount, int childrenCount, double maximumRecombination, double maximumMutation, java.lang.Class algorithm)
Construct a new configuration.

Method Summary

AlgorithmicTemplate	getAlgorithm() Gets the algorithm used for solving the problem.
int	getChildrenCount() Get the number of children produced with one reproduction involving parentCount parents.
double	getMaximumMutation() Get the maximum probability rating of mutation level for reproduction.
double	getMaximumRecombination() Get the maximum probability rating of recombining parental genomes per production.
int	getParentCount() Get the number of abstract parents required to produce children.
AlgorithmicProblem	getProblem() Get a modified view of the problem.
Function	getSelection() Get the selection scheme to apply while evolving.
void	setChildrenCount(int n) Set the number of children produced with one reproduction involving parentCount parents.
void	setMaximumMutation(double mutation) Set the maximum probability rating of mutation level for reproduction.
void	setMaximumRecombination(double recombination) Set the maximum probability rating of recombining parental genomes per production.
void	setParentCount(int n) Set the number of abstract parents required to produce children.
java.lang.Object	solve() Solves the problem with the algorithm with regard to the additional parameters managed by this algorithmic configuration.

Methods inherited from class orbital.algorithm.template.AlgorithmicTemplate.Configuration

flexible

Methods inherited from class java.lang.Object

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

Constructor Detail

GeneticAlgorithm.Configuration

public GeneticAlgorithm.Configuration(GeneticAlgorithmProblem problem,
                                      Function selector,
                                      int parentCount,
                                      int childrenCount,
                                      double maximumRecombination,
                                      double maximumMutation,
                                      java.lang.Class algorithm)

Construct a new configuration.

Parameters:

problem - the problem to solve.

selector - the selection function Population→Genome for selecting parents.

parentCount - The number of abstract parents required to produce children.

childrenCount - The number of children produced with one reproduction involving parentCount parents.

maximumRecombination - Maximum recombination rating. Maximum probability rating of recombining parental genomes per production.

maximumMutation - Maximum mutation rating. Maximum probability rating of mutation level for reproduction.

algorithm - the class of the AlgorithmicTemplate to instantiate for solving the problem.

See Also:

Selectors

GeneticAlgorithm.Configuration

public GeneticAlgorithm.Configuration(GeneticAlgorithmProblem problem,
                                      Function selector,
                                      double maximumRecombination,
                                      double maximumMutation,
                                      java.lang.Class algorithm)

GeneticAlgorithm.Configuration

public GeneticAlgorithm.Configuration(GeneticAlgorithmProblem problem,
                                      Function selector,
                                      java.lang.Class algorithm)

Method Detail

getSelection

public Function getSelection()

Get the selection scheme to apply while evolving.

See Also:

Selectors

getParentCount

public int getParentCount()

Get the number of abstract parents required to produce children.

setParentCount

public void setParentCount(int n)

Set the number of abstract parents required to produce children.

Preconditions:

n > 0

getChildrenCount

public int getChildrenCount()

Get the number of children produced with one reproduction involving parentCount parents.

setChildrenCount

public void setChildrenCount(int n)

Set the number of children produced with one reproduction involving parentCount parents.

Preconditions:

n >= 0

getMaximumRecombination

public double getMaximumRecombination()

Get the maximum probability rating of recombining parental genomes per production.

setMaximumRecombination

public void setMaximumRecombination(double recombination)

Set the maximum probability rating of recombining parental genomes per production.

Preconditions:

recombination∈[0,1] is a probability

getMaximumMutation

public double getMaximumMutation()

Get the maximum probability rating of mutation level for reproduction.

setMaximumMutation

public void setMaximumMutation(double mutation)

Set the maximum probability rating of mutation level for reproduction.

Preconditions:

mutation∈[0,1] is a probability

getProblem

public AlgorithmicProblem getProblem()

Get a modified view of the problem. Modifies the problem by letting its GeneticAlgorithmProblem.getPopulation() return a PopulationImpl with all properties set according to this configuration.

Specified by:

getProblem in interface AlgorithmicConfiguration

Overrides:

getProblem in class AlgorithmicTemplate.Configuration

getAlgorithm

public AlgorithmicTemplate getAlgorithm()

Description copied from interface: AlgorithmicConfiguration

Gets the algorithm used for solving the problem.

Specified by:

getAlgorithm in interface AlgorithmicConfiguration

Overrides:

getAlgorithm in class AlgorithmicTemplate.Configuration

Returns:

the algorithm, with our additional parameters already adjusted.

solve

public java.lang.Object solve()

Description copied from interface: AlgorithmicConfiguration

Solves the problem with the algorithm with regard to the additional parameters managed by this algorithmic configuration.

Specified by:

solve in interface AlgorithmicConfiguration

Overrides:

solve in class AlgorithmicTemplate.Configuration

Returns:

the solution to the problem AlgorithmicConfiguration.getProblem() by using the algorithm AlgorithmicConfiguration.getAlgorithm() after adjusting our additional parameters.

See Also:

Convenience method