| 1 | #region License Information
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| 2 | /* HeuristicLab
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| 3 | * Copyright (C) 2002-2018 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 |
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| 22 | using System;
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| 23 | using System.Collections.Generic;
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| 24 | using HeuristicLab.Random;
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| 25 |
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| 26 | namespace HeuristicLab.Problems.Instances.DataAnalysis {
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| 27 | public class KeijzerInstanceProvider : ArtificialRegressionInstanceProvider {
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| 28 | public override string Name {
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| 29 | get { return "Keijzer Benchmark Problems"; }
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| 30 | }
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| 31 | public override string Description {
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| 32 | get { return ""; }
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| 33 | }
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| 34 | public override Uri WebLink {
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| 35 | get { return new Uri("http://www.gpbenchmarks.org/wiki/index.php?title=Problem_Classification#Keijzer"); }
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| 36 | }
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| 37 | public override string ReferencePublication {
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| 38 | get { return "McDermott et al., 2012 \"Genetic Programming Needs Better Benchmarks\", in Proc. of GECCO 2012."; }
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| 39 | }
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| 40 | public int Seed { get; private set; }
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| 41 |
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| 42 | public KeijzerInstanceProvider() : this((int)System.DateTime.Now.Ticks) {
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| 43 | }
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| 44 | public KeijzerInstanceProvider(int seed) : base() {
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| 45 | Seed = seed;
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| 46 | }
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| 47 |
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| 48 | public override IEnumerable<IDataDescriptor> GetDataDescriptors() {
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| 49 | List<IDataDescriptor> descriptorList = new List<IDataDescriptor>();
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| 50 | var rand = new MersenneTwister((uint)Seed);
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| 51 | descriptorList.Add(new KeijzerFunctionOne());
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| 52 | descriptorList.Add(new KeijzerFunctionTwo());
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| 53 | descriptorList.Add(new KeijzerFunctionThree());
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| 54 | descriptorList.Add(new KeijzerFunctionFour());
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| 55 | descriptorList.Add(new KeijzerFunctionFive(rand.Next()));
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| 56 | descriptorList.Add(new KeijzerFunctionSix());
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| 57 | descriptorList.Add(new KeijzerFunctionSeven());
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| 58 | descriptorList.Add(new KeijzerFunctionEight());
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| 59 | descriptorList.Add(new KeijzerFunctionNine());
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| 60 | descriptorList.Add(new KeijzerFunctionTen(rand.Next()));
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| 61 | descriptorList.Add(new KeijzerFunctionEleven(rand.Next()));
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| 62 | descriptorList.Add(new KeijzerFunctionTwelve(rand.Next()));
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| 63 | descriptorList.Add(new KeijzerFunctionThirteen(rand.Next()));
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| 64 | descriptorList.Add(new KeijzerFunctionFourteen(rand.Next()));
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| 65 | descriptorList.Add(new KeijzerFunctionFifteen(rand.Next()));
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| 66 | return descriptorList;
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| 67 | }
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| 68 | }
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| 69 | }
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