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/*
 * This file is part of examples, http://choco-solver.org/
 *
 * Copyright (c) 2023, 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.examples.integer;

import org.chocosolver.examples.AbstractProblem;
import org.chocosolver.solver.Model;
import org.chocosolver.solver.search.strategy.Search;
import org.chocosolver.solver.variables.BoolVar;
import org.chocosolver.util.ESat;
import org.kohsuke.args4j.Option;

import static java.lang.String.format;
import static org.chocosolver.util.tools.ArrayUtils.flatten;

/**
 * CSPLib prob028:
* "A Balanced Incomplete Block Design (BIBD) is defined as an arrangement of * v distinct objects into b blocks such that * each block contains exactly k distinct objects, * each object occurs in exactly r different blocks, * and every two distinct objects occur together in exactly lambda blocks. *
* Another way of defining a BIBD is in terms of its incidence matrix, * which is a v by b binary matrix with exactly r ones per row, * k ones per column, * and with a scalar product of lambda between any pair of distinct rows. *
* A BIBD is therefore specified by its parameters (v,b,r,k,lambda)." *
* * @author Charles Prud'homme * @since 02/08/11 */ public class BIBD extends AbstractProblem { @SuppressWarnings("FieldMayBeFinal") @Option(name = "-v", usage = "matrix first dimension.", required = false) private int v = 7; @SuppressWarnings("FieldMayBeFinal") @Option(name = "-k", usage = "ones per column.", required = false) private int k = 3; @SuppressWarnings("FieldMayBeFinal") @Option(name = "-p", usage = "scalar product.", required = false) private int l = 20; @Option(name = "-b", usage = "matrix second dimension.", required = false) private int b = -1; @Option(name = "-r", usage = "ones per row.", required = false) private int r = -1; BoolVar[][] vars, _vars; @Override public void buildModel() { model = new Model("BIBD"); if (b == -1) { b = (v * (v - 1) * l) / (k * (k - 1)); } if (r == -1) { r = (l * (v - 1)) / (k - 1); } vars = new BoolVar[v][b]; _vars = new BoolVar[b][v]; for (int i = 0; i < v; i++) { for (int j = 0; j < b; j++) { vars[i][j] = model.boolVar("V(" + i + "," + j + ")"); _vars[j][i] = vars[i][j]; } } // r ones per row for (int i = 0; i < v; i++) { model.sum(vars[i], "=", r).post(); } // k ones per column for (int j = 0; j < b; j++) { model.sum(_vars[j], "=", k).post(); } // Exactly l ones in scalar product between two different rows for (int i1 = 0; i1 < v; i1++) { for (int i2 = i1 + 1; i2 < v; i2++) { BoolVar[] score = model.boolVarArray(format("row(%d,%d)", i1, i2), b); for (int j = 0; j < b; j++) { model.times(_vars[j][i1], _vars[j][i2], score[j]).post(); } model.sum(score, "=", l).post(); } } // Symmetry breaking BoolVar[][] rev = new BoolVar[v][]; for (int i = 0; i < v; i++) { rev[i] = vars[v - 1 - i]; } model.lexChainLessEq(rev).post(); BoolVar[][] _rev = new BoolVar[b][]; for (int i = 0; i < b; i++) { _rev[i] = _vars[b - 1 - i]; } model.lexChainLessEq(_rev).post(); } @Override public void configureSearch() { model.getSolver().setSearch(Search.inputOrderLBSearch(flatten(vars))); } @Override public void solve() { model.getSolver().solve(); System.out.printf("BIBD(%d,%d,%d,%d,%d)%n", v, b, r, k, l); StringBuilder st = new StringBuilder(); if (model.getSolver().isFeasible() == ESat.TRUE) { for (int i = 0; i < v; i++) { st.append("\t"); for (int j = 0; j < b; j++) { st.append(_vars[j][i].getValue()).append(" "); } st.append("\n"); } } else { st.append("\tINFEASIBLE"); } System.out.println(st); } public static void main(String[] args) { new BIBD().execute(args); } }




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