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

Class DEOptim.Solution

java.lang.Object

com.numericalmethod.suanshu.optimization.geneticalgorithm.GeneticAlgorithm

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

com.numericalmethod.suanshu.optimization.geneticalgorithm.minimizer.deoptim.DEOptim.Solution

All Implemented Interfaces:

IterativeMethod<Vector>, IterativeMinimizer<Vector>, MinimizationSolution<Vector>, java.io.Serializable

Enclosing class:

DEOptim

protected class DEOptim.Solution
extends SimpleGridMinimizer.Solution

This is the solution to a minimization problem using DEOptim.

See Also:

Serialized Form

Field Summary

Fields inherited from class com.numericalmethod.suanshu.optimization.geneticalgorithm.minimizer.simplegrid.SimpleGridMinimizer.Solution

f, factory, fmin, fminLast, initials, iteration, nNoChanges, xmin

Fields inherited from class com.numericalmethod.suanshu.optimization.geneticalgorithm.GeneticAlgorithm

parallel, population, uniform

Method Summary

Modifier and Type	Method and Description
Chromosome	getChild(int i) Produce a child chromosome.
java.util.List<Chromosome>	getNextGeneration(java.util.List<Chromosome> parents, java.util.List<Chromosome> children) Populate the next generation using the parent and children chromosome pools.

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

initialization, isConverged, minimizer, minimum, search, setInitials, step

Methods inherited from class com.numericalmethod.suanshu.optimization.geneticalgorithm.GeneticAlgorithm

getBest, getNewPool, getOne, nChildren, nPopulation, run

Methods inherited from class java.lang.Object

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

Method Detail

getNextGeneration

public java.util.List<Chromosome> getNextGeneration(java.util.List<Chromosome> parents,
                                                    java.util.List<Chromosome> children)

Description copied from class: GeneticAlgorithm

Populate the next generation using the parent and children chromosome pools.

This implementation chooses the best chromosomes among the parents and children.

Overrides:

getNextGeneration in class GeneticAlgorithm

Parameters:

parents - the parent chromosome pool

children - the children chromosome pool

Returns:

the next generation population

getChild

public Chromosome getChild(int i)

Description copied from class: GeneticAlgorithm

Produce a child chromosome.

This implementation first applies the crossover and then the mutation operators.

Overrides:

getChild in class GeneticAlgorithm

Parameters:

i - an index that ranges from 0 to (population size - 1)

Returns:

a child chromosome