1 | #region License Information
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2 | /* HeuristicLab
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3 | * Copyright (C) 2002-2016 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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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 | using System;
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22 | using HeuristicLab.Problems.MultiObjectiveTestFunctions;
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23 | using Microsoft.VisualStudio.TestTools.UnitTesting;
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24 |
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25 | namespace MultiObjectiveTestfunctionTests {
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26 | [TestClass]
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27 | public class SpacingTest {
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28 |
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29 |
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30 |
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31 |
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32 | [TestMethod]
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33 | [ExpectedException(typeof(ArgumentException))]
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34 | public void EmptyFrontTest() {
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35 | double[][] front = { };
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36 |
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37 | Spacing.Calculate(front);
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38 | }
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39 |
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40 | [TestMethod]
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41 | public void SamePointTest() {
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42 |
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43 | double[] point = new double[2];
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44 | point[0] = 0.5;
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45 | point[1] = 0.5;
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46 |
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47 | double[] point1 = new double[2];
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48 | point1[0] = 0.5;
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49 | point1[1] = 0.5;
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50 | double[][] front = { point, point1 };
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51 | double dist = Spacing.Calculate(front);
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52 | Assert.AreEqual(0, dist);
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53 | }
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54 |
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55 | [TestMethod]
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56 | public void SinglePointTest() {
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57 | double[] point = new double[2];
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58 | point[0] = 0;
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59 | point[1] = 0;
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60 | double[][] front = { point };
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61 | double dist = Spacing.Calculate(front);
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62 | Assert.AreEqual(0, dist);
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63 | }
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64 |
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65 | [TestMethod]
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66 | public void QuadraticTest() {
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67 | double[] point = new double[2];
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68 | point[0] = 0;
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69 | point[1] = 0;
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70 | double[] point1 = new double[2];
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71 | point1[0] = 0;
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72 | point1[1] = 1;
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73 |
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74 | double[] point2 = new double[2];
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75 | point2[0] = 1;
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76 | point2[1] = 0;
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77 | double[] point3 = new double[2];
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78 | point3[0] = 1;
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79 | point3[1] = 1;
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80 | double[][] front = { point, point1, point2, point3 };
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81 | double dist = Spacing.Calculate(front);
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82 | Assert.AreEqual(0, dist);
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83 | }
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84 |
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85 | [TestMethod]
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86 | public void RectangularTest() {
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87 | double[] point = new double[2];
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88 | point[0] = 0;
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89 | point[1] = 0;
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90 | double[] point1 = new double[2];
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91 | point1[0] = 0;
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92 | point1[1] = 1;
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93 |
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94 | double[] point2 = new double[2];
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95 | point2[0] = 2;
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96 | point2[1] = 0;
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97 | double[] point3 = new double[2];
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98 | point3[0] = 2;
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99 | point3[1] = 1;
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100 | double[][] front = { point, point1, point2, point3 };
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101 | double dist = Spacing.Calculate(front);
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102 | Assert.AreEqual(0, dist);
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103 | }
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104 |
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105 | /// <summary>
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106 | /// deltoid with 3 points of the 1-unit-square and the northeastern point at 4,4
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107 | /// which gives d=(1,1,1,5) for minimal distances. Mean of d is 2 and variance of d is 3
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108 | /// Spacing is defined as the standarddeviation of d
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109 | /// </summary>
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110 | [TestMethod]
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111 | public void DeltoidTest() {
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112 | double[] point = new double[2];
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113 | point[0] = 0;
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114 | point[1] = 0;
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115 | double[] point1 = new double[2];
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116 | point1[0] = 0;
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117 | point1[1] = 1;
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118 |
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119 | double[] point2 = new double[2];
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120 | point2[0] = 1;
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121 | point2[1] = 0;
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122 | double[] point3 = new double[2];
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123 | point3[0] = 4;
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124 | point3[1] = 4;
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125 | double[][] front = { point, point1, point2, point3 };
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126 | double dist = Spacing.Calculate(front);
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127 | Assert.AreEqual(Math.Sqrt(3), dist);
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128 | }
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129 |
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130 |
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131 | }
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132 |
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133 |
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134 | }
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