net.sourceforge.cilib.pso.niching
Class Niche

java.lang.Object
  net.sourceforge.cilib.algorithm.Algorithm
      net.sourceforge.cilib.algorithm.population.PopulationBasedAlgorithm
          net.sourceforge.cilib.algorithm.population.MultiPopulationBasedAlgorithm
              net.sourceforge.cilib.pso.niching.Niche

All Implemented Interfaces:

Serializable, Iterable<PopulationBasedAlgorithm>, Runnable, Cloneable

public class Niche
extends MultiPopulationBasedAlgorithm

Author:

gpampara

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

Niche()

Method Summary

protected void	algorithmIteration() The actual operations that the current Algorithm performs within a single iteration.
OptimisationSolution	getBestSolution() Get the best current solution.
PopulationBasedAlgorithm	getClone() Create a cloned copy of the current object and return it.
PopulationBasedAlgorithm	getMainSwarm()
List<OptimisationSolution>	getSolutions() Get the collection of best solutions.
void	performInitialisation() Perform the needed initialisation required before the execution of the algorithm starts.

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, performUninitialisation, 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

Niche

public Niche()

Method Detail

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

getClone

public PopulationBasedAlgorithm 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()

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.

getMainSwarm

public PopulationBasedAlgorithm getMainSwarm()