[5557] | 1 | #region License Information
|
---|
| 2 | /* HeuristicLab
|
---|
[12130] | 3 | * Copyright (C) 2002-2015 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
|
---|
[5557] | 4 | *
|
---|
| 5 | * This file is part of HeuristicLab.
|
---|
| 6 | *
|
---|
| 7 | * HeuristicLab is free software: you can redistribute it and/or modify
|
---|
| 8 | * it under the terms of the GNU General Public License as published by
|
---|
| 9 | * the Free Software Foundation, either version 3 of the License, or
|
---|
| 10 | * (at your option) any later version.
|
---|
| 11 | *
|
---|
| 12 | * HeuristicLab is distributed in the hope that it will be useful,
|
---|
| 13 | * but WITHOUT ANY WARRANTY; without even the implied warranty of
|
---|
| 14 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
|
---|
| 15 | * GNU General Public License for more details.
|
---|
| 16 | *
|
---|
| 17 | * You should have received a copy of the GNU General Public License
|
---|
| 18 | * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
|
---|
| 19 | */
|
---|
| 20 | #endregion
|
---|
| 21 |
|
---|
| 22 | using HeuristicLab.Common;
|
---|
| 23 | using HeuristicLab.Core;
|
---|
| 24 | using HeuristicLab.Data;
|
---|
| 25 | using HeuristicLab.Parameters;
|
---|
| 26 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
|
---|
| 27 |
|
---|
| 28 | namespace HeuristicLab.Problems.DataAnalysis.Symbolic {
|
---|
| 29 | /// <summary>
|
---|
| 30 | /// Abstract base class for multi objective symbolic data analysis analyzers.
|
---|
| 31 | /// </summary>
|
---|
| 32 | [StorableClass]
|
---|
| 33 | public abstract class SymbolicDataAnalysisMultiObjectiveAnalyzer : SymbolicDataAnalysisAnalyzer, ISymbolicDataAnalysisMultiObjectiveAnalyzer {
|
---|
| 34 | private const string QualitiesParameterName = "Qualities";
|
---|
| 35 | private const string MaximizationParameterName = "Maximization";
|
---|
[8664] | 36 | private const string ApplyLinearScalingParameterName = "ApplyLinearScaling";
|
---|
[5557] | 37 | #region parameter properties
|
---|
| 38 | public IScopeTreeLookupParameter<DoubleArray> QualitiesParameter {
|
---|
| 39 | get { return (IScopeTreeLookupParameter<DoubleArray>)Parameters[QualitiesParameterName]; }
|
---|
| 40 | }
|
---|
| 41 | public ILookupParameter<BoolArray> MaximizationParameter {
|
---|
| 42 | get { return (ILookupParameter<BoolArray>)Parameters[MaximizationParameterName]; }
|
---|
| 43 | }
|
---|
[8664] | 44 | public ILookupParameter<BoolValue> ApplyLinearScalingParameter {
|
---|
| 45 | get { return (ILookupParameter<BoolValue>)Parameters[ApplyLinearScalingParameterName]; }
|
---|
| 46 | }
|
---|
[5557] | 47 | #endregion
|
---|
| 48 | #region properties
|
---|
| 49 | public ItemArray<DoubleArray> Qualities {
|
---|
| 50 | get { return QualitiesParameter.ActualValue; }
|
---|
| 51 | }
|
---|
| 52 | public BoolArray Maximization {
|
---|
| 53 | get { return MaximizationParameter.ActualValue; }
|
---|
| 54 | }
|
---|
| 55 | #endregion
|
---|
| 56 | [StorableConstructor]
|
---|
| 57 | protected SymbolicDataAnalysisMultiObjectiveAnalyzer(bool deserializing) : base(deserializing) { }
|
---|
| 58 | protected SymbolicDataAnalysisMultiObjectiveAnalyzer(SymbolicDataAnalysisMultiObjectiveAnalyzer original, Cloner cloner)
|
---|
| 59 | : base(original, cloner) {
|
---|
| 60 | }
|
---|
| 61 | public SymbolicDataAnalysisMultiObjectiveAnalyzer()
|
---|
| 62 | : base() {
|
---|
| 63 | Parameters.Add(new ScopeTreeLookupParameter<DoubleArray>(QualitiesParameterName, "The qualities of the trees that should be analyzed."));
|
---|
| 64 | Parameters.Add(new LookupParameter<BoolArray>(MaximizationParameterName, "The directions of optimization for each dimension."));
|
---|
[8664] | 65 | Parameters.Add(new LookupParameter<BoolValue>(ApplyLinearScalingParameterName, "Flag that indicates if the individual should be linearly scaled before evaluating."));
|
---|
[5557] | 66 | }
|
---|
[8664] | 67 |
|
---|
| 68 | [StorableHook(HookType.AfterDeserialization)]
|
---|
| 69 | private void AfterDeserialization() {
|
---|
| 70 | if (Parameters.ContainsKey(ApplyLinearScalingParameterName) && Parameters[ApplyLinearScalingParameterName] is LookupParameter<BoolValue>)
|
---|
| 71 | Parameters.Remove(ApplyLinearScalingParameterName);
|
---|
| 72 | if (!Parameters.ContainsKey(ApplyLinearScalingParameterName))
|
---|
| 73 | Parameters.Add(new LookupParameter<BoolValue>(ApplyLinearScalingParameterName, "Flag that indicates if the individual should be linearly scaled before evaluating."));
|
---|
| 74 | }
|
---|
[5557] | 75 | }
|
---|
| 76 | }
|
---|