All Downloads are FREE. Search and download functionalities are using the official Maven repository.

org.chocosolver.parser.flatzinc.ast.searches.IntSearch Maven / Gradle / Ivy

/*
 * Copyright (c) 1999-2012, 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 org.chocosolver.parser.flatzinc.ast.searches;

import org.chocosolver.solver.Solver;
import org.chocosolver.solver.search.strategy.assignments.DecisionOperator;
import org.chocosolver.solver.search.strategy.selectors.IntValueSelector;
import org.chocosolver.solver.search.strategy.selectors.VariableSelector;
import org.chocosolver.solver.search.strategy.selectors.VariableSelectorWithTies;
import org.chocosolver.solver.search.strategy.selectors.values.*;
import org.chocosolver.solver.search.strategy.selectors.variables.*;
import org.chocosolver.solver.search.strategy.strategy.AbstractStrategy;
import org.chocosolver.solver.search.strategy.strategy.IntStrategy;
import org.chocosolver.solver.variables.IntVar;

/**
 * 
* * @author Charles Prud'homme * @since 27/01/11 */ public class IntSearch { private static long seed = 29091981; private IntSearch() { } public static AbstractStrategy build(IntVar[] variables, VarChoice varChoice, Assignment assignment, Solver solver) { VariableSelector varsel = variableSelector(varChoice); if (varsel == null) { // free search return new ActivityBased(solver, variables, 0.999d, 0.02d, 8, 1, seed); } return valueSelector(variables, varsel, assignment); } private static VariableSelector variableSelector(VarChoice varChoice) { switch (varChoice) { case input_order: return new InputOrder<>(); case first_fail: return new FirstFail(); case anti_first_fail: return new AntiFirstFail(); case smallest: return new Smallest(); case largest: return new Largest(); case occurrence: return new Occurrence<>(); case most_constrained: // It chooses the variable with the smallest value in its domain, breaking ties using the number of propagators return new VariableSelectorWithTies<>(new Smallest(), new Occurrence<>()); case max_regret: return new MaxRegret(); default: System.err.println("% No implementation for " + varChoice.name() + ". Set default."); return null; } } private static IntStrategy valueSelector(IntVar[] scope, VariableSelector variableSelector, Assignment assignmennt) { IntValueSelector valSelector; DecisionOperator assgnt = DecisionOperator.int_eq; switch (assignmennt) { case indomain: case indomain_min: valSelector = new IntDomainMin(); break; case indomain_max: valSelector = new IntDomainMax(); break; case indomain_middle: valSelector = new IntDomainMiddle(IntDomainMiddle.FLOOR); break; case indomain_median: valSelector = new IntDomainMedian(); break; case indomain_random: valSelector = new IntDomainRandom(seed); break; case indomain_split: case indomain_interval: valSelector = new IntDomainMiddle(IntDomainMiddle.FLOOR); assgnt = DecisionOperator.int_split; break; case indomain_reverse_split: valSelector = new IntDomainMiddle(IntDomainMiddle.CEIL); assgnt = DecisionOperator.int_reverse_split; break; default: System.err.println("% No implementation for " + assignmennt.name() + ". Set default."); valSelector = new IntDomainMin(); } return new IntStrategy(scope, variableSelector, valSelector, assgnt); } }




© 2015 - 2025 Weber Informatics LLC | Privacy Policy