/*******************************************************************************
* Copyright 2006 - 2012 Vienna University of Technology,
* Department of Software Technology and Interactive Systems, IFS
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*
* This work originates from the Planets project, co-funded by the European Union under the Sixth Framework Programme.
******************************************************************************/
package eu.scape_project.planning.model.sensitivity;
import eu.scape_project.planning.model.tree.TreeNode;
/**
* This implementation of IWeightModifier makes the weights of the children more extreme.
* E.g. if you have two children with A=0.2 and B=0.8 this modifier will change them to
* A=0.1 and B=0.9 (drag them even more apart).
* @author Jan Zarnikov
*
*/
public class ExtremeWeightModifier implements IWeightModifier {
public boolean performModification(TreeNode node) {
int nodeCount = node.getChildren().size();
double mean = 1/ ((double) nodeCount);
// make everything thats below mean even smaller and everything above even bigger
for(TreeNode child : node.getChildren()) {
double oldWeight = child.getWeight();
if(oldWeight == 0 || oldWeight == 1) {
continue;
}
// TODO: optimize this!
if(oldWeight < mean) {
double deltaWeight = oldWeight;
double newWeight = oldWeight - deltaWeight/2;
child.setWeight(newWeight);
} else if (oldWeight > mean) {
double deltaWeight = 1 - oldWeight;
double newWeight = oldWeight + deltaWeight/2;
child.setWeight(newWeight);
}
// note that after this, the weights might not be normalized (sum!=1)
// this doesn't matter since they will be normalized by the test anyway
// (as specified by the interface IWeightModifier)
}
return false;
}
}