Package solver.constraints.nary.cumulative

Source Code of solver.constraints.nary.cumulative.NRJCumulFilter

/**
*  Copyright (c) 1999-2014, Ecole des Mines de Nantes
*  All rights reserved.
*  Redistribution and use in source and binary forms, with or without
*  modification, are permitted provided that the following conditions are met:
*
*      * Redistributions of source code must retain the above copyright
*        notice, this list of conditions and the following disclaimer.
*      * Redistributions in binary form must reproduce the above copyright
*        notice, this list of conditions and the following disclaimer in the
*        documentation and/or other materials provided with the distribution.
*      * Neither the name of the Ecole des Mines de Nantes nor the
*        names of its contributors may be used to endorse or promote products
*        derived from this software without specific prior written permission.
*
*  THIS SOFTWARE IS PROVIDED BY THE REGENTS AND CONTRIBUTORS ``AS IS'' AND ANY
*  EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
*  WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
*  DISCLAIMED. IN NO EVENT SHALL THE REGENTS AND CONTRIBUTORS BE LIABLE FOR ANY
*  DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
*  (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
*  LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
*  ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
*  (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
*  SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/

package solver.constraints.nary.cumulative;

import solver.constraints.Propagator;
import solver.exception.ContradictionException;
import solver.variables.IntVar;
import util.objects.setDataStructures.ISet;
import util.sort.ArraySort;
import util.sort.IntComparator;

/**
* Energy based filtering (greedy)
* @author Jean-Guillaume Fages
*/
public class NRJCumulFilter extends CumulFilter{

  //***********************************************************************************
  // VARIABLES
  //***********************************************************************************

  protected int[] sor_array;
  protected ArraySort sorter;
  protected IntComparator comparator;
  protected int[] slb, dlb, eub, hlb;

  //***********************************************************************************
  // CONSTRUCTORS
  //***********************************************************************************

  public NRJCumulFilter(int n, Propagator cause){
    super(n,cause);
    sor_array = new int[n];
    sorter = new ArraySort(n,false,true);
    slb = new int[n];
    dlb = new int[n];
    eub = new int[n];
    hlb = new int[n];
    comparator = new IntComparator(){
      @Override
      public int compare(int i1, int i2) {
        int coef1 = (100*dlb[i1]*hlb[i1])/(eub[i1]-slb[i1]);
        int coef2 = (100*dlb[i2]*hlb[i2])/(eub[i2]-slb[i2]);
        return coef2 - coef1;
      }
    };
  }

  //***********************************************************************************
  // METHODS
  //***********************************************************************************

  @Override
  public void filter(IntVar[] s, IntVar[] d, IntVar[] e, IntVar[] h, IntVar capa, ISet tasks) throws ContradictionException {
    int idx = 0;
    for (int i = tasks.getFirstElement(); i >= 0; i = tasks.getNextElement()) {
      if(d[i].getLB()>0){
        slb[i] = s[i].getLB();
        dlb[i] = d[i].getLB();
        eub[i] = e[i].getUB();
        hlb[i] = h[i].getLB();
        assert eub[i]>slb[i];
        sor_array[idx++] = i;
      }
    }
    sorter.sort(sor_array,idx,comparator);
    double xMin = Integer.MAX_VALUE / 2;
    double xMax = Integer.MIN_VALUE / 2;
    double surface = 0;
    double camax = capa.getUB();
    for(int k=0; k<idx; k++){
      int i = sor_array[k];
      xMax = Math.max(xMax, eub[i]);
      xMin = Math.min(xMin, slb[i]);
      if(xMax >= xMin){
        double availSurf = ((xMax-xMin)*camax-surface);
        if(dlb[i]>0)
          h[i].updateUpperBound((int)Math.floor((availSurf/(double)dlb[i])+0.01),aCause);
        if(hlb[i]>0)
          d[i].updateUpperBound((int)Math.floor((availSurf/(double)hlb[i])+0.01),aCause);
        surface += dlb[i] * hlb[i];
        if(xMax>xMin){
          capa.updateLowerBound((int)Math.ceil(surface/(xMax-xMin)-0.01),aCause);
        }if(surface>(xMax-xMin)*camax){
          aCause.contradiction(capa,"");
        }
      }
    }
  }
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