net.sourceforge.cilib.neuralnetwork.generic.evaluationmediators
Class SAILAEvaluationMediator

java.lang.Object
  net.sourceforge.cilib.algorithm.Algorithm
      net.sourceforge.cilib.algorithm.SingularAlgorithm
          net.sourceforge.cilib.neuralnetwork.foundation.EvaluationMediator
              net.sourceforge.cilib.neuralnetwork.generic.evaluationmediators.SAILAEvaluationMediator

All Implemented Interfaces:

Serializable, Runnable, Cloneable

public class SAILAEvaluationMediator
extends EvaluationMediator

Author:

stefanv

See Also:

Serialized Form

Field Summary

protected NeuralNetworkDataIterator	iteratorDg
protected NeuralNetworkDataIterator	iteratorDt

Fields inherited from class net.sourceforge.cilib.neuralnetwork.foundation.EvaluationMediator

data, errorDg, errorDt, errorDv, nrEvaluationsPerEpoch, prototypeError, topology, totalEvaluations, trainer

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

optimisationProblem

Constructor Summary

SAILAEvaluationMediator()

Method Summary

void	algorithmIteration() The actual operations that the current Algorithm performs within a single iteration.
TypeList	evaluate(NNPattern p)
OptimisationSolution	getBestSolution() Get the best current solution.
Algorithm	getClone() Create a cloned copy of the current object and return it.
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.neuralnetwork.foundation.EvaluationMediator

addPrototypError, computeErrorIteration, finaliseErrors, getData, getEpochStrategy, getErrorDg, getErrorDt, getErrorDv, getNrEvaluationsPerEpoch, getPrototypeError, getTopology, getTotalEvaluations, getTrainer, incrementEvaluationsPerEpoch, performLearning, resetError, setData, setEpochStrategy, setErrorDg, setErrorDt, setErrorDv, setErrorNoOutputs, setErrorNoPatterns, setTopology, setTrainer

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

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

Methods inherited from class java.lang.Object

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

Field Detail

iteratorDt

protected NeuralNetworkDataIterator iteratorDt

iteratorDg

protected NeuralNetworkDataIterator iteratorDg

Constructor Detail

SAILAEvaluationMediator

public SAILAEvaluationMediator()

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 EvaluationMediator

algorithmIteration

public void algorithmIteration()

Description copied from class: SingularAlgorithm

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

Overrides:

algorithmIteration in class EvaluationMediator

evaluate

public TypeList evaluate(NNPattern p)

Overrides:

evaluate in class EvaluationMediator

getBestSolution

public OptimisationSolution getBestSolution()

Description copied from class: Algorithm

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

Overrides:

getBestSolution in class EvaluationMediator

Returns:

The OptimisationSolution representing the best solution.

getClone

public Algorithm getClone()

Description copied from class: Algorithm

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

Overrides:

getClone in class EvaluationMediator

Returns:

An exact clone of the current object instance.

See Also:

Object.clone()

getSolutions

public List<OptimisationSolution> getSolutions()

Description copied from class: Algorithm

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

Overrides:

getSolutions in class EvaluationMediator

Returns:

The Collection<OptimisationSolution> containing the solutions.