org.chocosolver.solver.constraints.nary.knapsack.PropKnapsack Maven / Gradle / Ivy
/*
* This file is part of choco-solver, http://choco-solver.org/
*
* Copyright (c) 2022, IMT Atlantique. All rights reserved.
*
* Licensed under the BSD 4-clause license.
*
* See LICENSE file in the project root for full license information.
*/
package org.chocosolver.solver.constraints.nary.knapsack;
import org.chocosolver.solver.constraints.Propagator;
import org.chocosolver.solver.constraints.PropagatorPriority;
import org.chocosolver.solver.exception.ContradictionException;
import org.chocosolver.solver.variables.IntVar;
import org.chocosolver.solver.variables.events.IntEventType;
import org.chocosolver.util.ESat;
import org.chocosolver.util.sort.ArraySort;
import org.chocosolver.util.tools.ArrayUtils;
/**
* Propagator for the Knapsack constraint
* based on Dantzig-Wolfe relaxation
*
* @author Jean-Guillaume Fages
*/
public class PropKnapsack extends Propagator {
//***********************************************************************************
// VARIABLES
//***********************************************************************************
private final int[] weigth;
private final int[] energy;
private final int[] order;
private final double[] ratio;
private final int n;
private final IntVar capacity;
private final IntVar power;
//***********************************************************************************
// CONSTRUCTORS
//***********************************************************************************
public PropKnapsack(IntVar[] itemOccurence, IntVar capacity, IntVar power,
int[] weight, int[] energy) {
super(ArrayUtils.append(itemOccurence, new IntVar[]{capacity, power}), PropagatorPriority.LINEAR, false);
this.weigth = weight;
this.energy = energy;
this.n = itemOccurence.length;
this.capacity = vars[n];
this.power = vars[n + 1];
this.ratio = new double[n];
for (int i = 0; i < n; i++) {
ratio[i] = weight[i] == 0?Double.MAX_VALUE : ((double) (energy[i]) / (double) (weight[i]));
}
this.order = ArrayUtils.array(0,n-1);
ArraySort sorter = new ArraySort(n,false,true);
sorter.sort(order, n, (i1, i2) -> Double.compare(ratio[i2],ratio[i1]));
}
//***********************************************************************************
// METHODS
//***********************************************************************************
@Override
public int getPropagationConditions(int vIdx) {
return IntEventType.boundAndInst();
}
@Override
public void propagate(int evtmask) throws ContradictionException {
int remainingCapacity = capacity.getUB();
int maxPower = 0;
for (int i = 0; i < n; i++) {
int lb = vars[i].getLB();
remainingCapacity -= weigth[i] * lb;
maxPower += energy[i] * lb;
}
power.updateLowerBound(maxPower, this);
if (remainingCapacity < 0) {
power.updateUpperBound(power.getLB() - 1, this); // fails
} else {
int idx;
for (int i = 0; i < n; i++) {
assert remainingCapacity >= 0;
idx = order[i];
int range = vars[idx].getUB() - vars[idx].getLB();
if (range > 0) {
int delta = weigth[idx] * (range);
if (delta <= remainingCapacity) {
maxPower += energy[idx] * (range);
remainingCapacity -= delta;
if (weigth[idx] > 0 && remainingCapacity == 0) {
power.updateUpperBound(maxPower, this);
return;
}
} else {
int deltaPow = (int) Math.ceil((double)remainingCapacity * ratio[idx]);
power.updateUpperBound(maxPower + deltaPow, this);
return;
}
}
}
}
}
@Override
public ESat isEntailed() {
double camax = capacity.getUB();
double pomin = 0;
for (int i = 0; i < n; i++) {
camax -= (long)weigth[i] * vars[i].getLB(); // potential overflow
pomin += (long)energy[i] * vars[i].getLB(); // potential overflow
}
if (camax < 0 || pomin > power.getUB()) {
return ESat.FALSE;
}
if (isCompletelyInstantiated()) {
if (pomin == power.getValue()) {
return ESat.TRUE;
}
}
return ESat.UNDEFINED;
}
}
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