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

Class SimpleCellFactory.SimpleCell

java.lang.Object

com.numericalmethod.suanshu.optimization.geneticalgorithm.minimizer.simplegrid.RealScalarFunctionChromosome

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

All Implemented Interfaces:

Chromosome, java.io.Serializable, java.lang.Comparable<Chromosome>

Direct Known Subclasses:

DEOptimCellFactory.DeOptimCell, LocalSearchCellFactory.LocalSearchCell

Enclosing class:

SimpleCellFactory

public class SimpleCellFactory.SimpleCell
extends RealScalarFunctionChromosome

A SimpleCell implements the two genetic operations.

• Mutation by disturbing (scaling) the fitness by a percentage;
• Crossover by taking the midpoint (average) of two cells.

See Also:

Serialized Form

Constructor Summary

Constructors

Modifier	Constructor and Description
protected	SimpleCell(RealScalarFunction f, Vector x)

Method Summary

Modifier and Type	Method and Description
Chromosome	crossover(Chromosome other) Crossover by taking the midpoint.
Chromosome	mutate() Mutate by random disturbs in a neighborhood.

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

compareTo, f, fitness, toString, x

Methods inherited from class java.lang.Object

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

Constructor Detail

SimpleCell

protected SimpleCell(RealScalarFunction f,
                     Vector x)

Method Detail

mutate

public Chromosome mutate()

Mutate by random disturbs in a neighborhood.

Returns:

a mutant chromosome

crossover

public Chromosome crossover(Chromosome other)

Crossover by taking the midpoint.

Parameters:

other - another chromosome

Returns:

a hybrid chromosome