com.numericalmethod.suanshu.optimization.multivariate.geneticalgorithm.minimizer.deoptim

Class DEOptimCellFactory

java.lang.Object

com.numericalmethod.suanshu.optimization.multivariate.geneticalgorithm.minimizer.simplegrid.SimpleCellFactory

com.numericalmethod.suanshu.optimization.multivariate.geneticalgorithm.minimizer.deoptim.DEOptimCellFactory

Direct Known Subclasses:

ConstrainedCellFactory, Rand1Bin

public abstract class DEOptimCellFactory
extends SimpleCellFactory

A DEOptimCellFactory produces DEOptimCellFactory.DeOptimCells. A DEOptimCellFactory.DeOptimCell is a chromosome for a real valued function (an optimization problem) and a candidate solution. They together define the two genetic operations of an Differential Evolution implementation.

• Mutation by perturbing the vector population by vector differences;
• Crossover by performing a uniform crossover (discrete recombination).

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
class	DEOptimCellFactory.DeOptimCell A DeOptimCell is a chromosome for a real valued function (an optimization problem) and a candidate solution.

Nested classes/interfaces inherited from class com.numericalmethod.suanshu.optimization.multivariate.geneticalgorithm.minimizer.simplegrid.SimpleCellFactory

SimpleCellFactory.SimpleCell

Field Summary

Fields

Modifier and Type	Field and Description
protected double	Cr the crossover probability
protected double	F the scaling factor

Fields inherited from class com.numericalmethod.suanshu.optimization.multivariate.geneticalgorithm.minimizer.simplegrid.SimpleCellFactory

uniform

Constructor Summary

Constructors

Modifier	Constructor and Description
protected	DEOptimCellFactory(DEOptimCellFactory that) Copy constructor.
protected	DEOptimCellFactory(double Cr, double F, RandomLongGenerator uniform) Construct an instance of a DEOptimCellFactory.

Method Summary

Modifier and Type	Method and Description
static double	Fmin(double Cr, int nPopulation) Compute the F critical value.
DEOptimCellFactory.DeOptimCell	getBase() Pick a base chromosome from the population.
DEOptimCellFactory.DeOptimCell	getOne() Pick a random chromosome from the population.
protected List<Chromosome>	getPopulation() Get the current generation.
void	setPopulation(List<Chromosome> population) Set the current generation.

Methods inherited from class com.numericalmethod.suanshu.optimization.multivariate.geneticalgorithm.minimizer.simplegrid.SimpleCellFactory

getSimpleCell

Methods inherited from class java.lang.Object

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

Field Detail

Cr

protected final double Cr

the crossover probability

F

protected final double F

the scaling factor

Constructor Detail

DEOptimCellFactory

protected DEOptimCellFactory(double Cr,
                             double F,
                             RandomLongGenerator uniform)

Construct an instance of a DEOptimCellFactory.

Parameters:

Cr - the crossover probability

F - the scaling factor

uniform - a uniform random number generator

DEOptimCellFactory

protected DEOptimCellFactory(DEOptimCellFactory that)

Copy constructor.

Parameters:

that - a DEOptimCellFactory

Method Detail

Fmin

public static double Fmin(double Cr,
                          int nPopulation)

Compute the F critical value.

Parameters:

Cr - the crossover probability

nPopulation - the population size

Returns:

the minimum value for F

See Also:

"eq. 2.32"

setPopulation

public void setPopulation(List<Chromosome> population)

Set the current generation.

Parameters:

population - the current population pool

getPopulation

protected List<Chromosome> getPopulation()

Get the current generation.

Returns:

the current generation

getBase

public DEOptimCellFactory.DeOptimCell getBase()

Pick a base chromosome from the population.

Returns:

the base chromosome

getOne

public DEOptimCellFactory.DeOptimCell getOne()

Pick a random chromosome from the population.

Returns:

a random chromosome