org.moeaframework.algorithm
Class AbstractEvolutionaryAlgorithm

java.lang.Object
  org.moeaframework.algorithm.AbstractAlgorithm
      org.moeaframework.algorithm.AbstractEvolutionaryAlgorithm

All Implemented Interfaces:

Algorithm, EvolutionaryAlgorithm

Direct Known Subclasses:

EpsilonMOEA, GDE3, IBEA, NSGAII, PAES, PESA2, SMSEMOA, SPEA2, VEGA

public abstract class AbstractEvolutionaryAlgorithm
extends AbstractAlgorithm
implements EvolutionaryAlgorithm

Abstract class providing default implementations for several EvolutionaryAlgorithm methods. Primarily, the initialize() method generates and evaluates the initial population, adding the solutions to the archive if available. The getResult() method returns the non-dominated solutions from the population and, if available, the archive. The majority of evolutionary algorithms should only need to override the AbstractAlgorithm.iterate() method.

Field Summary

protected NondominatedPopulation	archive The archive storing the non-dominated solutions.
protected Initialization	initialization The initialization operator.
protected Population	population The current population.

Fields inherited from class org.moeaframework.algorithm.AbstractAlgorithm

initialized, numberOfEvaluations, problem, terminated

Constructor Summary

AbstractEvolutionaryAlgorithm(Problem problem, Population population, NondominatedPopulation archive, Initialization initialization)
Constructs an abstract evolutionary algorithm.

Method Summary

NondominatedPopulation	getArchive() Returns the current non-dominated archive of the best solutions generated by this evolutionary algorithm, or null if no archive is used.
Population	getPopulation() Returns the current population of this evolutionary algorithm.
NondominatedPopulation	getResult() Returns the current best-known result.
Serializable	getState() Returns a Serializable object representing the internal state of this algorithm.
protected void	initialize() Performs any initialization that is required by this algorithm.
void	setState(Object objState) Sets the internal state of of this algorithm.

Methods inherited from class org.moeaframework.algorithm.AbstractAlgorithm

evaluate, evaluateAll, evaluateAll, finalize, getNumberOfEvaluations, getProblem, isInitialized, isTerminated, iterate, step, terminate

Methods inherited from class java.lang.Object

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

Methods inherited from interface org.moeaframework.core.Algorithm

evaluate, getNumberOfEvaluations, getProblem, isTerminated, step, terminate

Field Detail

population

protected final Population population

The current population.

archive

protected final NondominatedPopulation archive

The archive storing the non-dominated solutions.

initialization

protected final Initialization initialization

The initialization operator.

Constructor Detail

AbstractEvolutionaryAlgorithm

public AbstractEvolutionaryAlgorithm(Problem problem,
                                     Population population,
                                     NondominatedPopulation archive,
                                     Initialization initialization)

Constructs an abstract evolutionary algorithm.

Parameters:

problem - the problem being solved

population - the population

archive - the archive storing the non-dominated solutions

initialization - the initialization operator

Method Detail

getResult

public NondominatedPopulation getResult()

Description copied from interface: Algorithm

Returns the current best-known result.

Specified by:

getResult in interface Algorithm

Returns:

the current best-known result

initialize

protected void initialize()

Description copied from class: AbstractAlgorithm

Performs any initialization that is required by this algorithm. This method is called automatically by the first invocation of AbstractAlgorithm.step(), but may also be called manually prior to any invocations of step. Implementations should always invoke super.initialize() to ensure the hierarchy is initialized correctly.

Overrides:

initialize in class AbstractAlgorithm

getArchive

public NondominatedPopulation getArchive()

Description copied from interface: EvolutionaryAlgorithm

Returns the current non-dominated archive of the best solutions generated by this evolutionary algorithm, or null if no archive is used.

Specified by:

getArchive in interface EvolutionaryAlgorithm

Returns:

the current non-dominated archive of the best solutions generated by this evolutionary algorithm, or null if no archive is used

getPopulation

public Population getPopulation()

Description copied from interface: EvolutionaryAlgorithm

Returns the current population of this evolutionary algorithm.

Specified by:

getPopulation in interface EvolutionaryAlgorithm

Returns:

the current population of this evolutionary algorithm

getState

public Serializable getState()
                      throws NotSerializableException

Description copied from interface: Algorithm

Returns a Serializable object representing the internal state of this algorithm.

Specified by:

getState in interface Algorithm

Overrides:

getState in class AbstractAlgorithm

Returns:

a Serializable object representing the internal state of this algorithm

Throws:

NotSerializableException - if this algorithm does not support serialization

setState

public void setState(Object objState)
              throws NotSerializableException

Description copied from interface: Algorithm

Sets the internal state of of this algorithm.

Specified by:

setState in interface Algorithm

Overrides:

setState in class AbstractAlgorithm

Parameters:

objState - the internal state of this algorithm

Throws:

NotSerializableException - if this algorithm does not support serialization