Package samples.integer

Source Code of samples.integer.CumulativeSample

/**
*  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.
*/

/**
* Created by IntelliJ IDEA.
* User: Jean-Guillaume Fages
* Date: 29/11/13
* Time: 15:11
*/

package samples.integer;

import samples.AbstractProblem;
import solver.ResolutionPolicy;
import solver.Solver;
import solver.constraints.ICF;
import solver.search.strategy.ISF;
import solver.variables.IntVar;
import solver.variables.Task;
import solver.variables.VF;

import java.util.Random;

public class CumulativeSample extends AbstractProblem{

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

  IntVar[] start;
  IntVar makespan;

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

  @Override
  public void createSolver() {
    solver = new Solver("Cumulative example: makespan minimisation");
  }

  @Override
  public void buildModel() {
    IntVar capa = VF.fixed(6,solver);
    int n = 10;
    int max = 1000;
    makespan = VF.bounded("makespan",0,max,solver);
    start = VF.boundedArray("start",n,0,max,solver);
    IntVar[] end = new IntVar[n];
    IntVar[] duration = new IntVar[n];
    IntVar[] height = new IntVar[n];
    Task[] task = new Task[n];
    Random rd = new Random(0);
    for(int i=0;i<n;i++){
      duration[i] = VF.fixed(rd.nextInt(20)+1,solver);
      height[i] = VF.fixed(rd.nextInt(5)+1,solver);
      end[i] = VF.offset(start[i],duration[i].getValue());
      task[i] = new Task(start[i],duration[i],end[i]);
    }
    solver.post(ICF.cumulative(task,height,capa,true));
    solver.post(ICF.maximum(makespan,end));
  }

  @Override
  public void configureSearch() {
    solver.set(ISF.minDom_LB(start));
    solver.set(ISF.lastConflict(solver,solver.getStrategy()));
  }

  @Override
  public void solve() {
    solver.findOptimalSolution(ResolutionPolicy.MINIMIZE,makespan);
  }

  @Override
  public void prettyOut() {}

  public static void main(String[] args){
    new CumulativeSample().execute();
  }
}
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