Package jeco.core.algorithms

Class EvolutionaryStrategy<V extends Variable<?>>

java.lang.Object

jeco.core.algorithms.Algorithm<V>

jeco.core.algorithms.EvolutionaryStrategy<V>

public class EvolutionaryStrategy<V extends Variable<?>>
extends Algorithm<V>

Evolutionary Strategy algorithm.

Field Summary

Fields

Modifier and Type	Field	Description
protected SinglePointCrossover<V>	crossoverOperator	Crossover operator
protected int	currentGeneration	Current generation
protected SimpleDominance<V>	dominance	Dominance operator
protected int	lambda	Number of offspring
protected int	maxGenerations	Maximum number of generations
protected int	mu	Population size
protected Solutions<V>	muPopulation	Population
protected MutationOperator<V>	mutationOperator	Mutation operator
protected int	rho	Recombination offspring number
static final int	RHO_DEFAULT	Recombination offspring number
static final int	SELECTION_DEFAULT
static final int	SELECTION_PLUS	Selection types
protected SelectionOperator<V>	selectionOperator	Selection operator
protected int	selectionType	Selection type
protected boolean	stopWhenSolved	Stop if the optimal solution is found

Fields inherited from class jeco.core.algorithms.Algorithm

problem

Constructor Summary

Constructors

Constructor	Description
EvolutionaryStrategy(Problem<V> problem, MutationOperator<V> mutationOperator, int mu, int lambda, int maxGenerations)	Constructor
EvolutionaryStrategy(Problem<V> problem, MutationOperator<V> mutationOperator, int mu, int rho, int selectionType, int lambda, int maxGenerations, boolean stopWhenSolved)	Constructor

Method Summary

Modifier and Type	Method	Description
Solutions<V>	execute()	Executes the algorithm
void	initialize(Solutions<V> initialSolutions)	Initializes the algorithm
static void	main(String[] args)
void	step()	Executes one step of the algorithm

Methods inherited from class jeco.core.algorithms.Algorithm

initialize, setProblem

Methods inherited from class java.lang.Object

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

Field Details

SELECTION_PLUS

public static final int SELECTION_PLUS

Selection types

See Also:

• Constant Field Values

SELECTION_DEFAULT

public static final int SELECTION_DEFAULT

See Also:

• Constant Field Values

RHO_DEFAULT

public static final int RHO_DEFAULT

Recombination offspring number

See Also:

• Constant Field Values

stopWhenSolved

protected boolean stopWhenSolved

Stop if the optimal solution is found

maxGenerations

protected int maxGenerations

Maximum number of generations

mu

protected int mu

Population size

selectionType

protected int selectionType

Selection type

rho

protected int rho

Recombination offspring number

lambda

protected int lambda

Number of offspring

dominance

protected SimpleDominance<V extends Variable<?>> dominance

Dominance operator

currentGeneration

protected int currentGeneration

Current generation

muPopulation

protected Solutions<V extends Variable<?>> muPopulation

Population

mutationOperator

protected MutationOperator<V extends Variable<?>> mutationOperator

Mutation operator

crossoverOperator

protected SinglePointCrossover<V extends Variable<?>> crossoverOperator

Crossover operator

selectionOperator

protected SelectionOperator<V extends Variable<?>> selectionOperator

Selection operator

Constructor Details

EvolutionaryStrategy

public EvolutionaryStrategy(Problem<V> problem,
 MutationOperator<V> mutationOperator,
 int mu,
 int rho,
 int selectionType,
 int lambda,
 int maxGenerations,
 boolean stopWhenSolved)

Constructor

Parameters:

problem - Problem to solve

mutationOperator - Mutation operator

mu - Population size

rho - Recombination offspring number

selectionType - Selection type

lambda - Number of offspring

maxGenerations - Maximum number of generations

stopWhenSolved - Stop if the optimal solution is found

EvolutionaryStrategy

public EvolutionaryStrategy(Problem<V> problem,
 MutationOperator<V> mutationOperator,
 int mu,
 int lambda,
 int maxGenerations)

Constructor

Parameters:

problem - Problem to solve

mutationOperator - Mutation operator

mu - Population size

lambda - Number of offspring

maxGenerations - Maximum number of generations

Method Details

initialize

public void initialize(Solutions<V> initialSolutions)

Description copied from class: Algorithm

Initializes the algorithm

Specified by:

initialize in class Algorithm<V extends Variable<?>>

Parameters:

initialSolutions - initial population. If null, a random population is generated.

execute

public Solutions<V> execute()

Description copied from class: Algorithm

Executes the algorithm

Specified by:

execute in class Algorithm<V extends Variable<?>>

Returns:

Set of solutions obtained

step

public void step()

Description copied from class: Algorithm

Executes one step of the algorithm

Specified by:

step in class Algorithm<V extends Variable<?>>

main

public static void main(String[] args)