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org.chocosolver.samples.integer.CarSequencing Maven / Gradle / Ivy
/**
* Copyright (c) 2015, 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:
* 1. Redistributions of source code must retain the above copyright
* notice, this list of conditions and the following disclaimer.
* 2. 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.
* 3. All advertising materials mentioning features or use of this software
* must display the following acknowledgement:
* This product includes software developed by the .
* 4. Neither the name of the 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 ''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 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 org.chocosolver.samples.integer;
import org.chocosolver.samples.AbstractProblem;
import org.chocosolver.solver.Solver;
import org.chocosolver.solver.constraints.IntConstraintFactory;
import org.chocosolver.solver.search.strategy.IntStrategyFactory;
import org.chocosolver.solver.variables.IntVar;
import org.chocosolver.solver.variables.VariableFactory;
import org.kohsuke.args4j.Option;
import java.util.Scanner;
/**
* CSPLib prob001:
* "A number of cars are to be produced;
* they are not identical, because different options are available as variants on the basic model.
*
* The assembly line has different stations which install the various options (air-conditioning, sun-roof, etc.).
* These stations have been designed to handle at most a certain percentage of the cars passing along the assembly line.
* Furthermore, the cars requiring a certain option must not be bunched together,
* otherwise the station will not be able to cope.
* Consequently, the cars must be arranged in a sequence so that the capacity of each station is never exceeded.
*
* For instance, if a particular station can only cope with at most half of the cars passing along the line,
* the sequence must be built so that at most 1 car in any 2 requires that option.
*
* The problem has been shown to be NP-complete (Gent 1999)"
*
*
* @author Charles Prud'homme
* @since 03/08/11
*/
public class CarSequencing extends AbstractProblem {
@Option(name = "-d", aliases = "--data", usage = "Car sequencing data.", required = false)
Data data = Data.P4_72;
IntVar[] cars;
int nCars, nClasses, nOptions;
int[] demands;
int[][] optfreq, matrix, options, idleConfs;
@Override
public void createSolver() {
solver = new Solver("CarSequencing");
}
@Override
public void buildModel() {
parse(data.source());
prepare();
int max = nClasses - 1;
cars = VariableFactory.enumeratedArray("cars", nCars, 0, max, solver);
IntVar[] expArray = new IntVar[nClasses];
for (int optNum = 0; optNum < options.length; optNum++) {
int nbConf = options[optNum].length;
for (int seqStart = 0; seqStart < (cars.length - optfreq[optNum][1]); seqStart++) {
IntVar[] carSequence = extractor(cars, seqStart, optfreq[optNum][1]);
// configurations that include given option may be chosen
IntVar[] atMost = new IntVar[nbConf];
for (int i = 0; i < nbConf; i++) {
// optfreq[optNum][0] times AT MOST
atMost[i] = VariableFactory.bounded("atmost_" + optNum + "_" + seqStart + "_" + nbConf, 0, optfreq[optNum][0], solver);
}
solver.post(IntConstraintFactory.global_cardinality(carSequence, options[optNum], atMost, false));
IntVar[] atLeast = VariableFactory.boundedArray("atleast_" + optNum + "_" + seqStart, idleConfs[optNum].length, 0, max, solver);
solver.post(IntConstraintFactory.global_cardinality(carSequence, idleConfs[optNum], atLeast, false));
// all others configurations may be chosen
IntVar sum = VariableFactory.bounded("sum", optfreq[optNum][1] - optfreq[optNum][0], 99999999, solver);
solver.post(IntConstraintFactory.sum(atLeast, sum));
}
}
int[] values = new int[expArray.length];
for (int i = 0; i < expArray.length; i++) {
expArray[i] = VariableFactory.enumerated("var_" + i, 0, demands[i], solver);
values[i] = i;
}
solver.post(IntConstraintFactory.global_cardinality(cars, values, expArray, false));
}
private static IntVar[] extractor(IntVar[] cars, int initialNumber, int amount) {
if ((initialNumber + amount) > cars.length) {
amount = cars.length - initialNumber;
}
IntVar[] tmp = new IntVar[amount];
System.arraycopy(cars, initialNumber, tmp, 0, initialNumber + amount - initialNumber);
return tmp;
}
@Override
public void configureSearch() {
solver.set(IntStrategyFactory.lexico_LB(cars));
}
@Override
public void solve() {
solver.findSolution();
}
@Override
public void prettyOut() {
}
public static void main(String[] args) {
new CarSequencing().execute(args);
}
private int[][] parse(String source) {
int[][] data = null;
Scanner sc = new Scanner(source);
nCars = sc.nextInt();
nOptions = sc.nextInt();
nClasses = sc.nextInt();
optfreq = new int[nOptions][2];
// get frequencies
for (int i = 0; i < nOptions; i++) {
optfreq[i][0] = sc.nextInt();
}
for (int i = 0; i < nOptions; i++) {
optfreq[i][1] = sc.nextInt();
}
// get the demand and options
demands = new int[nClasses];
matrix = new int[nClasses][nOptions];
for (int i = 0; i < nClasses; i++) {
sc.nextInt();
demands[i] = sc.nextInt();
for (int j = 0; j < nOptions; j++) {
matrix[i][j] = sc.nextInt();
}
}
sc.close();
return data;
}
private void prepare() {
options = new int[nOptions][];
idleConfs = new int[nOptions][];
for (int i = 0; i < matrix[0].length; i++) {
int nbNulls = 0;
int nbOnes = 0;
for (int j = 0; j < matrix.length; j++) {
if (matrix[j][i] == 1)
nbOnes++;
else
nbNulls++;
}
options[i] = new int[nbOnes];
idleConfs[i] = new int[nbNulls];
int countOnes = 0;
int countNulls = 0;
for (int j = 0; j < matrix.length; j++) {
if (matrix[j][i] == 1) {
options[i][countOnes] = j;
countOnes++;
} else {
idleConfs[i][countNulls] = j;
countNulls++;
}
}
}
}
/////////////////////////////////// DATA //////////////////////////////////////////////////
enum Data {
myPb("10 5 6\n" +
"1 2 1 2 1\n" +
"2 3 3 5 5\n" +
"0 1 1 0 1 1 0\n" +
"1 1 0 0 0 1 0\n" +
"2 2 0 1 0 0 1\n" +
"3 2 0 1 0 1 0\n" +
"4 2 1 0 1 0 0\n" +
"5 2 1 1 0 0 0"),
P4_72("80 5 22\n" +
"1 2 1 2 1\n" +
"2 3 3 5 5\n" +
"0 6 1 0 0 1 0\n" +
"1 10 1 1 1 0 0\n" +
"2 2 1 1 0 0 1\n" +
"3 2 0 1 1 0 0\n" +
"4 8 0 0 0 1 0\n" +
"5 15 0 1 0 0 0\n" +
"6 1 0 1 1 1 0\n" +
"7 5 0 0 1 1 0\n" +
"8 2 1 0 1 1 0\n" +
"9 3 0 0 1 0 0\n" +
"10 2 1 0 1 0 0\n" +
"11 1 1 1 1 0 1\n" +
"12 8 0 1 0 1 0\n" +
"13 3 1 0 0 1 1\n" +
"14 10 1 0 0 0 0\n" +
"15 4 0 1 0 0 1\n" +
"16 4 0 0 0 0 1\n" +
"17 2 1 0 0 0 1\n" +
"18 4 1 1 0 0 0\n" +
"19 6 1 1 0 1 0\n" +
"20 1 1 0 1 0 1\n" +
"21 1 1 1 1 1 1"),
P6_76("100 5 22\n" +
"1 2 1 2 1\n" +
"2 3 3 5 5\n" +
"0 13 1 0 0 0 0\n" +
"1 8 0 0 0 1 0\n" +
"2 7 0 1 0 0 0\n" +
"3 1 1 0 0 1 0\n" +
"4 12 0 0 1 0 0\n" +
"5 5 0 1 0 1 0\n" +
"6 5 0 0 1 1 0\n" +
"7 6 0 1 1 0 0\n" +
"8 3 1 0 0 0 1\n" +
"9 12 1 1 0 0 0\n" +
"10 8 1 1 0 1 0\n" +
"11 2 1 0 0 1 1\n" +
"12 2 1 1 1 0 0\n" +
"13 1 0 1 0 1 1\n" +
"14 4 1 0 1 0 0\n" +
"15 4 0 1 0 0 1\n" +
"16 1 1 1 0 1 1\n" +
"17 2 1 0 1 1 0\n" +
"18 1 0 0 0 0 1\n" +
"19 1 1 1 1 1 0\n" +
"20 1 1 1 0 0 1\n" +
"21 1 0 1 1 1 0"),
P10_93("100 5 25\n" +
"1 2 1 2 1\n" +
"2 3 3 5 5\n" +
"0 7 1 0 0 1 0\n" +
"1 11 1 1 0 0 0\n" +
"2 1 0 1 1 1 1\n" +
"3 3 1 0 1 0 0\n" +
"4 15 0 1 0 0 0\n" +
"5 2 1 0 1 1 0\n" +
"6 8 0 1 0 1 0\n" +
"7 5 0 0 1 0 0\n" +
"8 3 0 0 0 1 0\n" +
"9 4 0 1 1 1 0\n" +
"10 5 1 0 0 0 0\n" +
"11 2 1 1 1 0 1\n" +
"12 6 0 1 1 0 0\n" +
"13 2 0 0 1 0 1\n" +
"14 2 0 1 0 0 1\n" +
"15 4 1 1 1 1 0\n" +
"16 3 1 0 0 0 1\n" +
"17 5 1 1 0 1 0\n" +
"18 2 1 1 1 0 0\n" +
"19 4 1 1 0 0 1\n" +
"20 1 1 0 0 1 1\n" +
"21 1 1 1 0 1 1\n" +
"22 1 0 1 0 1 1\n" +
"23 1 0 1 1 0 1\n" +
"24 2 0 0 0 0 1"),
P16_81("100 5 26\n" +
"1 2 1 2 1\n" +
"2 3 3 5 5\n" +
"0 10 1 0 0 0 0\n" +
"1 2 0 0 0 0 1\n" +
"2 8 0 1 0 1 0\n" +
"3 8 0 0 0 1 0\n" +
"4 6 0 1 1 0 0\n" +
"5 11 0 1 0 0 0\n" +
"6 3 0 0 1 0 0\n" +
"7 2 0 0 1 1 0\n" +
"8 7 1 1 0 0 0\n" +
"9 2 1 0 0 1 1\n" +
"10 4 1 0 1 0 0\n" +
"11 7 1 0 0 1 0\n" +
"12 1 1 1 1 0 1\n" +
"13 3 0 1 1 1 0\n" +
"14 4 0 1 0 0 1\n" +
"15 5 1 1 1 0 0\n" +
"16 2 1 1 0 0 1\n" +
"17 1 1 0 1 1 1\n" +
"18 2 1 0 1 1 0\n" +
"19 3 1 0 0 0 1\n" +
"20 2 0 1 1 0 1\n" +
"21 1 0 1 0 1 1\n" +
"22 3 1 1 0 1 0\n" +
"23 1 0 0 1 1 1\n" +
"24 1 1 1 1 1 1\n" +
"25 1 1 1 1 1 0"),
P10_71("100 5 23\n" +
"1 2 1 2 1\n" +
"2 3 3 5 5\n" +
"0 2 0 0 0 1 1\n" +
"1 2 0 0 1 0 1\n" +
"2 5 0 1 1 1 0\n" +
"3 4 0 0 0 1 0\n" +
"4 4 0 1 0 1 0\n" +
"5 1 1 1 0 0 1\n" +
"6 3 1 1 1 0 1\n" +
"7 4 0 0 1 0 0\n" +
"8 19 0 1 0 0 0\n" +
"9 7 1 1 0 1 0\n" +
"10 10 1 0 0 0 0\n" +
"11 1 0 0 1 1 0\n" +
"12 5 1 1 1 1 0\n" +
"13 2 1 0 1 1 0\n" +
"14 6 1 1 0 0 0\n" +
"15 4 1 1 1 0 0\n" +
"16 8 1 0 0 1 0\n" +
"17 1 1 0 0 0 1\n" +
"18 4 0 1 1 0 0\n" +
"19 2 0 0 0 0 1\n" +
"20 4 0 1 0 0 1\n" +
"21 1 1 1 0 1 1\n" +
"22 1 0 1 1 0 1"),
P21_90("100 5 23\n" +
"1 2 1 2 1\n" +
"2 3 3 5 5\n" +
"0 14 0 1 0 0 0\n" +
"1 11 1 0 0 0 0\n" +
"2 2 0 1 1 1 0\n" +
"3 1 0 1 1 0 1\n" +
"4 1 1 0 0 1 1\n" +
"5 3 1 0 1 0 0\n" +
"6 5 0 0 0 1 0\n" +
"7 4 1 0 0 1 0\n" +
"8 1 1 1 1 1 1\n" +
"9 5 0 0 1 0 0\n" +
"10 3 1 1 0 1 0\n" +
"11 2 1 1 0 1 1\n" +
"12 2 1 1 1 0 1\n" +
"13 7 0 1 1 0 0\n" +
"14 9 0 1 0 1 0\n" +
"15 14 1 1 0 0 0\n" +
"16 3 0 1 0 1 1\n" +
"17 2 0 0 1 0 1\n" +
"18 6 1 1 1 0 0\n" +
"19 2 1 1 1 1 0\n" +
"20 1 0 1 0 0 1\n" +
"21 1 0 0 0 0 1\n" +
"22 1 0 0 0 1 1"),
P36_92("100 5 22\n" +
"1 2 1 2 1\n" +
"2 3 3 5 5\n" +
"0 20 0 1 0 0 0\n" +
"1 7 1 1 1 0 0\n" +
"2 3 0 0 1 1 0\n" +
"3 9 0 0 0 1 0\n" +
"4 3 0 0 0 0 1\n" +
"5 1 0 1 1 1 1\n" +
"6 7 1 0 0 0 0\n" +
"7 3 0 1 0 0 1\n" +
"8 3 1 1 1 1 0\n" +
"9 1 1 0 0 1 1\n" +
"10 2 1 1 0 0 1\n" +
"11 5 0 1 1 1 0\n" +
"12 9 1 1 0 0 0\n" +
"13 3 0 1 0 1 0\n" +
"14 1 1 0 1 1 1\n" +
"15 6 1 1 0 1 0\n" +
"16 4 1 0 0 1 0\n" +
"17 7 0 1 1 0 0\n" +
"18 1 1 1 0 1 1\n" +
"19 2 1 0 0 0 1\n" +
"20 2 1 0 1 1 0\n" +
"21 1 0 0 0 1 1"),
P41_66("100 5 19\n" +
"1 2 1 2 1\n" +
"2 3 3 5 5\n" +
"0 7 1 0 0 0 0\n" +
"1 9 0 1 1 0 0\n" +
"2 4 0 0 0 1 0\n" +
"3 2 0 1 0 1 1\n" +
"4 6 0 0 1 0 0\n" +
"5 18 0 1 0 0 0\n" +
"6 6 0 1 0 0 1\n" +
"7 6 0 0 0 0 1\n" +
"8 1 1 1 0 1 1\n" +
"9 10 1 1 0 0 0\n" +
"10 2 1 0 0 0 1\n" +
"11 11 0 1 0 1 0\n" +
"12 5 0 0 1 1 0\n" +
"13 1 0 1 1 1 0\n" +
"14 1 0 1 1 0 1\n" +
"15 3 1 0 1 0 0\n" +
"16 3 1 1 1 0 0\n" +
"17 3 1 1 0 1 0\n" +
"18 2 1 1 1 1 0"),
P26_82("100 5 24\n" +
"1 2 1 2 1\n" +
"2 3 3 5 5\n" +
"0 2 1 1 0 1 0\n" +
"1 13 0 1 0 0 0\n" +
"2 10 0 1 0 1 0\n" +
"3 14 1 1 0 0 0\n" +
"4 5 0 0 0 1 0\n" +
"5 2 0 1 0 1 1\n" +
"6 2 0 1 1 0 0\n" +
"7 8 1 0 0 1 0\n" +
"8 5 0 0 1 1 0\n" +
"9 3 1 1 1 0 0\n" +
"10 9 1 0 0 0 0\n" +
"11 6 1 1 0 0 1\n" +
"12 2 1 1 1 1 0\n" +
"13 2 0 0 0 0 1\n" +
"14 1 1 1 1 0 1\n" +
"15 2 0 1 1 1 0\n" +
"16 2 1 0 1 0 0\n" +
"17 1 1 0 0 0 1\n" +
"18 1 1 0 1 1 0\n" +
"19 6 0 0 1 0 0\n" +
"20 1 1 1 1 1 1\n" +
"21 1 0 0 1 1 1\n" +
"22 1 0 1 1 0 1\n" +
"23 1 0 0 1 0 1"),;
final String source;
Data(String source) {
this.source = source;
}
String source() {
return source;
}
}
}