source: branches/3.2/sources/HeuristicLab.GP.Tests/TournamentPruningTest.cs @ 9620

#region License Information
/* HeuristicLab
 * Copyright (C) 2002-2008 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
 *
 * This file is part of HeuristicLab.
 *
 * HeuristicLab is free software: you can redistribute it and/or modify
 * it under the terms of the GNU General Public License as published by
 * the Free Software Foundation, either version 3 of the License, or
 * (at your option) any later version.
 *
 * HeuristicLab is distributed in the hope that it will be useful,
 * but WITHOUT ANY WARRANTY; without even the implied warranty of
 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 * GNU General Public License for more details.
 *
 * You should have received a copy of the GNU General Public License
 * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
 */
#endregion

using HeuristicLab.GP.StructureIdentification;
using Microsoft.VisualStudio.TestTools.UnitTesting;
using HeuristicLab.GP.Interfaces;
using System.IO;
using HeuristicLab.DataAnalysis;
using System;
using HeuristicLab.Random;
using System.Collections.Generic;
using HeuristicLab.GP.Operators;
using System.Diagnostics;
using HeuristicLab.Core;
namespace HeuristicLab.GP.Test {


  [TestClass()]
  public class TournamentPruningTest {
    private TestContext testContextInstance;

    /// <summary>
    ///Gets or sets the test context which provides
    ///information about and functionality for the current test run.
    ///</summary>
    public TestContext TestContext {
      get {
        return testContextInstance;
      }
      set {
        testContextInstance = value;
      }
    }

    [TestMethod()]
    public void TournamentPruningPruneTest() {
      IRandom random = new MersenneTwister();

      Dataset ds = new Dataset(new double[,] {
        { 1.0, 1.0, 1.0 },
        { 2.0, 2.0, 2.0 },
        { 3.0, 1.0, 2.0 }
      });

      ds.SetVariableName(0, "y");
      ds.SetVariableName(1, "a");
      ds.SetVariableName(2, "b");

      var importer = new SymbolicExpressionImporter();
      HL3TreeEvaluator evaluator = new HL3TreeEvaluator();


      IFunctionTree prunedTree = null;
      prunedTree = TournamentPruning.Prune(random, importer.Import("(+ 1.5 3.5)"), 3, ds, "y", 0, 2, evaluator, 1.0, 1.0);
      prunedTree = TournamentPruning.Prune(random, importer.Import("(+ (variable 2.0 a 0) (+ 1.5 3.5))"), 3, ds, "y", 0, 2, evaluator, 1.0, 1.0);
      prunedTree = TournamentPruning.Prune(random, importer.Import("(+ (variable 2.0 a 0) (variable 0.00001 a 0))"), 3, ds, "y", 0, 2, evaluator, 1.0, 1.0);
      prunedTree = TournamentPruning.Prune(random, importer.Import("(+ (variable 1.0 a 0) (variable 1.0 b 0))"), 3, ds, "y", 0, 2, evaluator, 1.0, 1.0);
    }
  }
}