edu.indiana.iucbrf.adaptation
Class WeightedAverageAdapter

java.lang.Object
  edu.indiana.iucbrf.adaptation.Adaptation
      edu.indiana.iucbrf.adaptation.WeightedAverageAdapter

All Implemented Interfaces:

java.io.Serializable

public class WeightedAverageAdapter
extends Adaptation

WeightedAverageAdapter finds a solution to the new problem by taking the average of the suggested solution of each retrieved case, giving each retrieved case importance in the average based on the weightings provided to the object's constructor. It is assumed that the Solution class used defines the doubleValue() method.

If weights are not specified for all retrieved cases, then the weight is defined as 0 for the worst cases. If more weights are specified than cases are retrieved, then the extra weights are ignored.

See Also:

Serialized Form

Field Summary

Fields inherited from class edu.indiana.iucbrf.adaptation.Adaptation

debugMode, wts

Constructor Summary

WeightedAverageAdapter()
Construct a WeightedAverageAdapter without specifying the weights.

WeightedAverageAdapter(double[] wts)
Creates new WeightedAverageAdapter

WeightedAverageAdapter(double[] wts, boolean debugMode)
Creates new WeightedAverageAdapter

Method Summary

Solution

adaptTo(RetrievalResults retrieved, Problem currentProblem, Domain domain) Adapt retrieved solutions by taking a weighted average.

Methods inherited from class edu.indiana.iucbrf.adaptation.Adaptation

setDebugMode, setWeights

Methods inherited from class java.lang.Object

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

Constructor Detail

WeightedAverageAdapter

public WeightedAverageAdapter()

Construct a WeightedAverageAdapter without specifying the weights. The weights must be specified with setWeights() before the adapter is used.

WeightedAverageAdapter

public WeightedAverageAdapter(double[] wts)

Creates new WeightedAverageAdapter

Parameters:

Wts - An array of doubles, of weights to be used by the average adapter.

WeightedAverageAdapter

public WeightedAverageAdapter(double[] wts,
                              boolean debugMode)

Creates new WeightedAverageAdapter

Parameters:

Wts - An array of doubles, of weights to be used by the average adapter.

debugMode - Set to true to print debugging information, false otherwise.

Method Detail

adaptTo

public Solution adaptTo(RetrievalResults retrieved,
                        Problem currentProblem,
                        Domain domain)

Adapt retrieved solutions by taking a weighted average.

Specified by:

adaptTo in class Adaptation

Parameters:

Retrieved - A RetrievalResults of Case objects deemed relevant to this problem

CurrentProblem - The Problem object being adapted to. In this implementation, this parameter is ignored.

Returns:

A Solution object of the adapted solution.