net.sourceforge.cilib.algorithm.population
Class MultiPopulationCriterionBasedAlgorithm

java.lang.Object
  net.sourceforge.cilib.algorithm.Algorithm
      net.sourceforge.cilib.algorithm.population.PopulationBasedAlgorithm
          net.sourceforge.cilib.algorithm.population.MultiPopulationBasedAlgorithm
              net.sourceforge.cilib.algorithm.population.MultiPopulationCriterionBasedAlgorithm

All Implemented Interfaces:

Serializable, Iterable<PopulationBasedAlgorithm>, Runnable, Cloneable

public class MultiPopulationCriterionBasedAlgorithm
extends MultiPopulationBasedAlgorithm

Generic class that represents the case where a Criterion-based MultiPopulationBasedAlgorithm (like VEPSO) is used to solve a Multi-objective problem. The class makes use of an ObjectiveAssignmentStrategy to assign the MOOptimisationProblem's sub-objectives to the different sub-populations. Some KnowledgeTransferStrategy mechanism is needed to share the knowledge gained during the search among the different sub-populations.

Author:

Wiehann Matthysen

See Also:

Serialized Form

Field Summary

Fields inherited from class net.sourceforge.cilib.algorithm.population.MultiPopulationBasedAlgorithm

algorithmIterator, subPopulationsAlgorithms

Fields inherited from class net.sourceforge.cilib.algorithm.Algorithm

optimisationProblem

Constructor Summary

MultiPopulationCriterionBasedAlgorithm()

MultiPopulationCriterionBasedAlgorithm(MultiPopulationCriterionBasedAlgorithm copy)

Method Summary

protected void	algorithmIteration() The actual operations that the current Algorithm performs within a single iteration.
OptimisationSolution	getBestSolution() Get the best current solution.
MultiPopulationCriterionBasedAlgorithm	getClone() Create a cloned copy of the current object and return it.
ObjectiveAssignmentStrategy	getObjectiveAssignmentStrategy()
List<OptimisationSolution>	getSolutions() Get the collection of best solutions.
void	performInitialisation() Perform the needed initialisation required before the execution of the algorithm starts.
void	performUninitialisation() Perform the needed unintialisation steps after the algorithm completes it's execution.
void	setObjectiveAssignmentStrategy(ObjectiveAssignmentStrategy objectiveAssignmentStrategy)

Methods inherited from class net.sourceforge.cilib.algorithm.population.MultiPopulationBasedAlgorithm

accept, addPopulationBasedAlgorithm, getAlgorithmIterator, getInitialisationStrategy, getPopulations, getTopology, iterator, removePopulationBasedalgorithm, reset, setAlgorithmIterator, setInitialisationStrategy, setPopulations

Methods inherited from class net.sourceforge.cilib.algorithm.Algorithm

addAlgorithmListener, addStoppingCondition, get, getAlgorithmList, getIterations, getOptimisationProblem, getPercentageComplete, getStoppingConditions, initialise, isFinished, performIteration, removeAlgorithmListener, removeStoppingCondition, run, setOptimisationProblem, terminate

Methods inherited from class java.lang.Object

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

Constructor Detail

MultiPopulationCriterionBasedAlgorithm

public MultiPopulationCriterionBasedAlgorithm()

MultiPopulationCriterionBasedAlgorithm

public MultiPopulationCriterionBasedAlgorithm(MultiPopulationCriterionBasedAlgorithm copy)

Method Detail

getClone

public MultiPopulationCriterionBasedAlgorithm getClone()

Description copied from class: PopulationBasedAlgorithm

Create a cloned copy of the current object and return it. In general the created copy will be a deep copy of the provided instance. As a result this operation an be quite expensive if used incorrectly.

Specified by:

getClone in interface Cloneable

Specified by:

getClone in class PopulationBasedAlgorithm

Returns:

An exact clone of the current object instance.

See Also:

Object.clone()

setObjectiveAssignmentStrategy

public void setObjectiveAssignmentStrategy(ObjectiveAssignmentStrategy objectiveAssignmentStrategy)

getObjectiveAssignmentStrategy

public ObjectiveAssignmentStrategy getObjectiveAssignmentStrategy()

performInitialisation

public void performInitialisation()

Description copied from class: Algorithm

Perform the needed initialisation required before the execution of the algorithm starts.

Overrides:

performInitialisation in class Algorithm

algorithmIteration

protected void algorithmIteration()

Description copied from class: MultiPopulationBasedAlgorithm

The actual operations that the current Algorithm performs within a single iteration.

Specified by:

algorithmIteration in class MultiPopulationBasedAlgorithm

performUninitialisation

public void performUninitialisation()

Description copied from class: Algorithm

Perform the needed unintialisation steps after the algorithm completes it's execution.

Overrides:

performUninitialisation in class Algorithm

getBestSolution

public OptimisationSolution getBestSolution()

Description copied from class: PopulationBasedAlgorithm

Get the best current solution. This best solution is determined from the personal bests of the particles.

Specified by:

getBestSolution in class PopulationBasedAlgorithm

Returns:

The OptimisationSolution representing the best solution.

getSolutions

public List<OptimisationSolution> getSolutions()

Description copied from class: PopulationBasedAlgorithm

Get the collection of best solutions. This result does not actually make sense in the normal PSO algorithm, but rather in a MultiObjective optimization.

Specified by:

getSolutions in class PopulationBasedAlgorithm

Returns:

The Collection<OptimisationSolution> containing the solutions.