[14162] | 1 | #region License Information
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| 2 | /* HeuristicLab
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[16565] | 3 | * Copyright (C) 2002-2019 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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[14162] | 4 | *
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| 5 | * This file is part of HeuristicLab.
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| 6 | *
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| 7 | * HeuristicLab is free software: you can redistribute it and/or modify
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| 8 | * it under the terms of the GNU General Public License as published by
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| 9 | * the Free Software Foundation, either version 3 of the License, or
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| 10 | * (at your option) any later version.
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| 11 | *
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| 12 | * HeuristicLab is distributed in the hope that it will be useful,
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| 13 | * but WITHOUT ANY WARRANTY; without even the implied warranty of
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| 14 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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| 15 | * GNU General Public License for more details.
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| 16 | *
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| 17 | * You should have received a copy of the GNU General Public License
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| 18 | * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
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| 19 | */
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| 20 | #endregion
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| 21 |
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| 22 |
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| 23 | using System;
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| 24 | using System.Collections.Generic;
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| 25 | using System.Diagnostics.Contracts;
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| 26 | using System.IO;
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| 27 | using System.Linq;
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| 28 | using HeuristicLab.Core;
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| 29 | using HeuristicLab.Problems.Instances;
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| 30 | using HeuristicLab.Random;
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| 31 |
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| 32 | namespace HeuristicLab.Problems.BinPacking2D {
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| 33 | // make sure that for each class we have a separate entry in the problem instance providers
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| 34 | public class RandomInstanceClass1Provider : RandomInstanceProvider {
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| 35 | public RandomInstanceClass1Provider() : base() {
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| 36 | @class = 1;
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| 37 | binWidth = binHeight = 10;
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| 38 | }
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| 39 | protected override void SampleItemParameters(IRandom rand, out int w, out int h) {
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| 40 | w = rand.Next(1, 11);
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| 41 | h = rand.Next(1, 11);
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| 42 | }
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| 43 | }
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| 44 | public class RandomInstanceClass2Provider : RandomInstanceProvider {
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| 45 | public RandomInstanceClass2Provider() : base() {
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| 46 | @class = 2;
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| 47 | binWidth = binHeight = 30;
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| 48 | }
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| 49 | protected override void SampleItemParameters(IRandom rand, out int w, out int h) {
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| 50 | w = rand.Next(1, 11);
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| 51 | h = rand.Next(1, 11);
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| 52 | }
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| 53 | }
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| 54 | public class RandomInstanceClass3Provider : RandomInstanceProvider {
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| 55 | public RandomInstanceClass3Provider() : base() {
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| 56 | @class = 3;
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| 57 | binWidth = binHeight = 40;
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| 58 | }
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| 59 | protected override void SampleItemParameters(IRandom rand, out int w, out int h) {
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| 60 | w = rand.Next(1, 36);
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| 61 | h = rand.Next(1, 36);
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| 62 | }
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| 63 | }
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| 64 |
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| 65 | public class RandomInstanceClass4Provider : RandomInstanceProvider {
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| 66 | public RandomInstanceClass4Provider() : base() {
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| 67 | @class = 4;
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| 68 | binWidth = binHeight = 100;
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| 69 | }
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| 70 | protected override void SampleItemParameters(IRandom rand, out int w, out int h) {
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| 71 | w = rand.Next(1, 36);
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| 72 | h = rand.Next(1, 36);
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| 73 | }
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| 74 | }
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| 75 | public class RandomInstanceClass5Provider : RandomInstanceProvider {
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| 76 | public RandomInstanceClass5Provider() : base() {
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| 77 | @class = 5;
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| 78 | binWidth = binHeight = 100;
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| 79 | }
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| 80 | protected override void SampleItemParameters(IRandom rand, out int w, out int h) {
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| 81 | w = rand.Next(1, 101);
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| 82 | h = rand.Next(1, 101);
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| 83 | }
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| 84 | }
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| 85 | public class RandomInstanceClass6Provider : RandomInstanceProvider {
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| 86 | public RandomInstanceClass6Provider() : base() {
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| 87 | @class = 6;
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| 88 | binWidth = binHeight = 300;
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| 89 | }
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| 90 | protected override void SampleItemParameters(IRandom rand, out int w, out int h) {
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| 91 | w = rand.Next(1, 101);
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| 92 | h = rand.Next(1, 101);
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| 93 | }
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| 94 | }
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| 95 | public class RandomInstanceClass7Provider : RandomInstanceProvider {
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| 96 | public RandomInstanceClass7Provider() : base() { @class = 7; binWidth = binHeight = 100; }
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| 97 | }
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| 98 | public class RandomInstanceClass8Provider : RandomInstanceProvider {
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| 99 | public RandomInstanceClass8Provider() : base() { @class = 8; binWidth = binHeight = 100; }
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| 100 | }
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| 101 | public class RandomInstanceClass9Provider : RandomInstanceProvider {
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| 102 | public RandomInstanceClass9Provider() : base() { @class = 9; binWidth = binHeight = 100; }
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| 103 | }
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| 104 | public class RandomInstanceClass10Provider : RandomInstanceProvider {
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| 105 | public RandomInstanceClass10Provider() : base() { @class = 10; binWidth = binHeight = 100; }
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| 106 | }
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| 107 | public abstract class RandomInstanceProvider : ProblemInstanceProvider<BPPData>, IProblemInstanceProvider<BPPData> {
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| 108 |
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| 109 | protected int @class;
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| 110 | protected int binWidth, binHeight;
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| 111 |
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| 112 | public override string Name {
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| 113 | get { return string.Format("Lodi, Martelli, Vigo (class={0})", @class); }
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| 114 | }
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| 115 |
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| 116 | public override string Description {
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| 117 | get { return "Randomly generated 2d bin packing problems as described in Lodi, Martello, and Vigo. 'Heuristic and metaheuristic approaches for a class of two-dimensional bin packing problems.' INFORMS Journal on Computing 11.4 (1999): 345-357."; }
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| 118 | }
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| 119 |
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| 120 | public override Uri WebLink {
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| 121 | get { return null; }
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| 122 | }
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| 123 |
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| 124 | public override string ReferencePublication {
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| 125 | get { return "Lodi, Martello, and Vigo. 'Heuristic and metaheuristic approaches for a class of two-dimensional bin packing problems.' INFORMS Journal on Computing 11.4 (1999): 345-357."; }
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| 126 | }
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| 127 |
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| 128 | public RandomInstanceProvider() : base() { }
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| 129 |
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| 130 | public override IEnumerable<IDataDescriptor> GetDataDescriptors() {
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| 131 | // 10 classes
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| 132 | var rand = new MersenneTwister(1234); // fixed seed to makes sure that instances are always the same
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| 133 | foreach (int numItems in new int[] { 20, 40, 60, 80, 100 }) {
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| 134 | // get class parameters
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| 135 | // generate 30 different instances for each class
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| 136 | foreach (int instance in Enumerable.Range(1, 30)) {
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| 137 | string name = string.Format("n={0}-id={1:00} (class={2})", numItems, instance, @class);
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| 138 | var dd = new RandomDataDescriptor(name, name, numItems, seed: rand.Next());
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| 139 | yield return dd;
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| 140 | }
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| 141 | }
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| 142 | }
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| 143 |
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| 144 | public override BPPData LoadData(IDataDescriptor dd) {
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| 145 | var randDd = dd as RandomDataDescriptor;
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| 146 | if (randDd == null) throw new NotSupportedException("Cannot load data descriptor " + dd);
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| 147 |
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| 148 | var data = new BPPData() {
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| 149 | BinShape = new PackingShape(binWidth, binHeight),
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| 150 | Items = new PackingItem[randDd.NumItems]
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| 151 | };
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| 152 | var instanceRand = new MersenneTwister((uint)randDd.Seed);
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| 153 | for (int i = 0; i < randDd.NumItems; i++) {
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| 154 | int w, h;
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| 155 | SampleItemParameters(instanceRand, out w, out h);
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| 156 | data.Items[i] = new PackingItem(w, h, data.BinShape);
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| 157 | }
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| 158 | return data;
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| 159 | }
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| 160 |
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| 161 | // default implementation for class 7 .. 10
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| 162 | protected virtual void SampleItemParameters(IRandom rand, out int w, out int h) {
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| 163 | // for classes 1 - 5
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| 164 | Contract.Assert(@class >= 7 && @class <= 10);
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| 165 | var weights = new double[] { 0.1, 0.1, 0.1, 0.1 };
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| 166 | weights[@class - 7] = 0.7;
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| 167 | var type = Enumerable.Range(1, 4).SampleProportional(rand, 1, weights).First();
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| 168 |
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| 169 | int minW, maxW;
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| 170 | int minH, maxH;
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| 171 | GetItemParameters(type, rand, binWidth, binHeight,
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| 172 | out minW, out maxW, out minH, out maxH);
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| 173 |
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| 174 | w = rand.Next(minW, maxW + 1);
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| 175 | h = rand.Next(minH, maxH + 1);
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| 176 | }
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| 177 |
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| 178 | private void GetItemParameters(int type, IRandom rand,
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| 179 | int w, int h,
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| 180 | out int minW, out int maxW, out int minH, out int maxH) {
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| 181 | switch (type) {
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| 182 | case 1: {
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| 183 | minW = w * 2 / 3; maxW = w; // integer division on purpose (see paper)
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| 184 | minH = 1; maxH = h / 2;
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| 185 | break;
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| 186 | }
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| 187 | case 2: {
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| 188 | minW = 1; maxW = w / 2;
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| 189 | minH = h * 2 / 3; maxH = h;
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| 190 | break;
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| 191 | }
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| 192 | case 3: {
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| 193 | minW = w / 2; maxW = w;
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| 194 | minH = h / 2; maxH = h;
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| 195 | break;
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| 196 | }
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| 197 | case 4: {
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| 198 | minW = 1; maxW = w / 2;
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| 199 | minH = 1; maxH = h / 2;
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| 200 | break;
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| 201 | }
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| 202 | default: {
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| 203 | throw new InvalidProgramException();
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| 204 | }
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| 205 | }
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| 206 | }
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| 207 |
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| 208 | public override bool CanImportData {
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| 209 | get { return false; }
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| 210 | }
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| 211 | public override BPPData ImportData(string path) {
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| 212 | throw new NotSupportedException();
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| 213 | }
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| 214 |
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| 215 | public override bool CanExportData {
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| 216 | get { return true; }
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| 217 | }
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| 218 |
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| 219 | public override void ExportData(BPPData instance, string file) {
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| 220 | using (Stream stream = new FileStream(file, FileMode.OpenOrCreate, FileAccess.Write)) {
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| 221 | Export(instance, stream);
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| 222 | }
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| 223 | }
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| 224 | public static void Export(BPPData instance, Stream stream) {
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| 225 |
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| 226 | using (var writer = new StreamWriter(stream)) {
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| 227 | writer.WriteLine(String.Format("{0,-5} {1,-5} WBIN,HBIN", instance.BinShape.Width, instance.BinShape.Height));
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| 228 | for (int i = 0; i < instance.NumItems; i++) {
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| 229 | if (i == 0)
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| 230 | writer.WriteLine("{0,-5} {1,-5} W(I),H(I),I=1,...,N", instance.Items[i].Width, instance.Items[i].Height);
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| 231 | else
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| 232 | writer.WriteLine("{0,-5} {1,-5}", instance.Items[i].Width, instance.Items[i].Height);
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| 233 |
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| 234 | }
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| 235 | writer.Flush();
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| 236 | }
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| 237 | }
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| 238 |
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| 239 | }
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| 240 | }
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