001package org.cpsolver.ifs.algorithms; 002 003import org.cpsolver.ifs.assignment.Assignment; 004import org.cpsolver.ifs.model.Model; 005import org.cpsolver.ifs.model.Neighbour; 006import org.cpsolver.ifs.model.Value; 007import org.cpsolver.ifs.model.Variable; 008import org.cpsolver.ifs.solution.Solution; 009import org.cpsolver.ifs.util.DataProperties; 010 011/** 012 * Step counting hill climber. Unlike with the ordinary hill climber, there is a bound. 013 * The bound is updated (to the value of the current solution) after a given number of 014 * moves. Based on the given mode, either all moves, only accepted moves, or only improving 015 * moves are counted. 016 * <br> 017 * 018 * @author Tomáš Müller 019 * @version IFS 1.3 (Iterative Forward Search)<br> 020 * Copyright (C) 2014 Tomáš Müller<br> 021 * <a href="mailto:muller@unitime.org">muller@unitime.org</a><br> 022 * <a href="http://muller.unitime.org">http://muller.unitime.org</a><br> 023 * <br> 024 * This library is free software; you can redistribute it and/or modify 025 * it under the terms of the GNU Lesser General Public License as 026 * published by the Free Software Foundation; either version 3 of the 027 * License, or (at your option) any later version. <br> 028 * <br> 029 * This library is distributed in the hope that it will be useful, but 030 * WITHOUT ANY WARRANTY; without even the implied warranty of 031 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU 032 * Lesser General Public License for more details. <br> 033 * <br> 034 * You should have received a copy of the GNU Lesser General Public 035 * License along with this library; if not see 036 * <a href='http://www.gnu.org/licenses/'>http://www.gnu.org/licenses/</a>. 037 * @param <V> Variable 038 * @param <T> Value 039 */ 040public class StepCountingHillClimber<V extends Variable<V, T>, T extends Value<V, T>> extends HillClimber<V, T> { 041 public static enum Mode { 042 ALL, 043 ACCEPTED, 044 IMPROVING 045 } 046 protected int iCounterLimit = 100; 047 protected Mode iCounterMode = Mode.ACCEPTED; 048 protected Double[] iCounterLimitAdjusts = null; 049 050 /** 051 * Constructor 052 * <ul> 053 * <li>HillClimber.CounterLimit ... number of moves after which the bound is reset (defaults to 1000) 054 * <li>HillClimber.CounterMode ... counter mode (all: count all moves, accepted: count accepted moves, improving: count improving moves) 055 * </ul> 056 * @param properties solver configuration 057 */ 058 public StepCountingHillClimber(DataProperties properties) { 059 super(properties); 060 iSetHCMode = false; 061 iCounterLimit = properties.getPropertyInt(getParameterBaseName() + ".CounterLimit", iCounterLimit); 062 iCounterMode = Mode.valueOf(properties.getProperty(getParameterBaseName() + ".CounterMode", iCounterMode.name()).toUpperCase()); 063 iCounterLimitAdjusts = properties.getPropertyDoubleArry(getParameterBaseName() + ".CounterLimitAdjustments", null); 064 } 065 066 @Override 067 public NeighbourSearchContext createAssignmentContext(Assignment<V, T> assignment) { 068 return new StepCountingHillClimberContext(); 069 } 070 071 public class StepCountingHillClimberContext extends HillClimberContext { 072 protected Double iBound = null; 073 protected int iCounter = 0; 074 075 /** 076 * Reset the bound and the steps counter. 077 */ 078 @Override 079 public void activate(Solution<V, T> solution) { 080 super.activate(solution); 081 iBound = solution.getModel().getTotalValue(solution.getAssignment()); 082 iCounter = 0; 083 } 084 085 protected int getCounterLimit(int idx) { 086 if (idx < 0 || iCounterLimitAdjusts == null || idx >= iCounterLimitAdjusts.length || iCounterLimitAdjusts[idx] == null) return iCounterLimit; 087 return (int) Math.round(iCounterLimit * iCounterLimitAdjusts[idx]); 088 } 089 090 /** 091 * Increase iteration number, also update bound when the given number of steps is reached. 092 */ 093 @Override 094 public void incIteration(Solution<V, T> solution) { 095 iIter++; 096 if (iIter % 10000 == 0) { 097 info("Iter=" + (iIter / 1000)+"k, NonImpIter=" + iDF2.format((iIter-iLastImprovingIter)/1000.0)+"k, Speed="+iDF2.format(1000.0*iIter/getTimeMillis())+" it/s, Bound=" + iDF2.format(iBound)); 098 logNeibourStatus(); 099 } 100 // iProgress.setProgress(Math.round(100.0 * (iIter - iLastImprovingIter) / iMaxIdleIters)); 101 if (iCounter >= getCounterLimit(solution.getAssignment().getIndex() - 1)) { 102 iBound = solution.getModel().getTotalValue(solution.getAssignment()); 103 iCounter = 0; 104 } 105 } 106 107 /** 108 * Accept any move that does not worsen the solution (value <= 0) or that is below the bound. Also increase the step counter. 109 */ 110 @Override 111 protected boolean accept(Assignment<V, T> assignment, Model<V,T> model, Neighbour<V, T> neighbour, double value, boolean lazy) { 112 boolean accept = (value <= 0.0 || (lazy ? model.getTotalValue(assignment) : value + model.getTotalValue(assignment)) < iBound); 113 switch (iCounterMode) { 114 case ALL: 115 iCounter ++; 116 break; 117 case ACCEPTED: 118 if (accept) iCounter ++; 119 break; 120 case IMPROVING: 121 if (value < 0) iCounter ++; 122 break; 123 } 124 return accept; 125 } 126 127 /** 128 * Stop the search when the number of idle iterations is reached and the bound is no longer decreasing 129 */ 130 @Override 131 protected boolean canContinue(Solution<V, T> solution) { 132 return super.canContinue(solution) || iCounter < getCounterLimit(solution.getAssignment().getIndex() - 1) || solution.getModel().getTotalValue(solution.getAssignment()) < iBound; 133 } 134 } 135}