[3623] | 1 | #region License Information
|
---|
| 2 | /* HeuristicLab
|
---|
[17181] | 3 | * Copyright (C) Heuristic and Evolutionary Algorithms Laboratory (HEAL)
|
---|
[3623] | 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 |
|
---|
[4722] | 22 | using HeuristicLab.Common;
|
---|
[3623] | 23 | using HeuristicLab.Core;
|
---|
| 24 | using HeuristicLab.Data;
|
---|
| 25 | using HeuristicLab.Operators;
|
---|
| 26 | using HeuristicLab.Parameters;
|
---|
[17097] | 27 | using HEAL.Attic;
|
---|
[3623] | 28 |
|
---|
| 29 | namespace HeuristicLab.Analysis {
|
---|
| 30 | /// <summary>
|
---|
[3662] | 31 | /// An operator which calculates the minimum, average and maximum of a value in the scope tree.
|
---|
[3623] | 32 | /// </summary>
|
---|
[3662] | 33 | [Item("MinAverageMaxValueCalculator", "An operator which calculates the minimum, average and maximum of a value in the scope tree.")]
|
---|
[17097] | 34 | [StorableType("C10C55BB-737F-4A0A-BAB0-F3DAC28FBCB8")]
|
---|
[3623] | 35 | public sealed class MinAverageMaxValueCalculator : SingleSuccessorOperator {
|
---|
[3662] | 36 | public ScopeTreeLookupParameter<DoubleValue> ValueParameter {
|
---|
| 37 | get { return (ScopeTreeLookupParameter<DoubleValue>)Parameters["Value"]; }
|
---|
[3623] | 38 | }
|
---|
[3662] | 39 | public ValueLookupParameter<DoubleValue> MinValueParameter {
|
---|
| 40 | get { return (ValueLookupParameter<DoubleValue>)Parameters["MinValue"]; }
|
---|
[3623] | 41 | }
|
---|
[3662] | 42 | public ValueLookupParameter<DoubleValue> AverageValueParameter {
|
---|
| 43 | get { return (ValueLookupParameter<DoubleValue>)Parameters["AverageValue"]; }
|
---|
[3623] | 44 | }
|
---|
[3662] | 45 | public ValueLookupParameter<DoubleValue> MaxValueParameter {
|
---|
| 46 | get { return (ValueLookupParameter<DoubleValue>)Parameters["MaxValue"]; }
|
---|
[3623] | 47 | }
|
---|
| 48 |
|
---|
[4722] | 49 | #region Storing & Cloning
|
---|
| 50 | [StorableConstructor]
|
---|
[17097] | 51 | private MinAverageMaxValueCalculator(StorableConstructorFlag _) : base(_) { }
|
---|
[4722] | 52 | private MinAverageMaxValueCalculator(MinAverageMaxValueCalculator original, Cloner cloner) : base(original, cloner) { }
|
---|
| 53 | public override IDeepCloneable Clone(Cloner cloner) {
|
---|
| 54 | return new MinAverageMaxValueCalculator(this, cloner);
|
---|
| 55 | }
|
---|
| 56 | #endregion
|
---|
[3623] | 57 | public MinAverageMaxValueCalculator()
|
---|
| 58 | : base() {
|
---|
[3662] | 59 | Parameters.Add(new ScopeTreeLookupParameter<DoubleValue>("Value", "The value contained in the scope tree for which the minimum, average and maximum should be calculated."));
|
---|
[3623] | 60 | Parameters.Add(new ValueLookupParameter<DoubleValue>("MinValue", "The minimum of the value."));
|
---|
| 61 | Parameters.Add(new ValueLookupParameter<DoubleValue>("AverageValue", "The average of the value."));
|
---|
| 62 | Parameters.Add(new ValueLookupParameter<DoubleValue>("MaxValue", "The maximum of the value."));
|
---|
| 63 | }
|
---|
| 64 |
|
---|
| 65 | public override IOperation Apply() {
|
---|
| 66 | ItemArray<DoubleValue> values = ValueParameter.ActualValue;
|
---|
| 67 |
|
---|
| 68 | if (values.Length > 0) {
|
---|
| 69 | double min = double.MaxValue, max = double.MinValue, sum = 0.0;
|
---|
| 70 | for (int i = 0; i < values.Length; i++) {
|
---|
| 71 | if (values[i].Value < min) min = values[i].Value;
|
---|
| 72 | if (values[i].Value > max) max = values[i].Value;
|
---|
| 73 | sum += values[i].Value;
|
---|
| 74 | }
|
---|
| 75 |
|
---|
| 76 | DoubleValue minValue = MinValueParameter.ActualValue;
|
---|
| 77 | if (minValue == null) MinValueParameter.ActualValue = new DoubleValue(min);
|
---|
| 78 | else minValue.Value = min;
|
---|
| 79 | DoubleValue averageValue = AverageValueParameter.ActualValue;
|
---|
| 80 | if (averageValue == null) AverageValueParameter.ActualValue = new DoubleValue(sum / values.Length);
|
---|
| 81 | else averageValue.Value = sum / values.Length;
|
---|
| 82 | DoubleValue maxValue = MaxValueParameter.ActualValue;
|
---|
| 83 | if (maxValue == null) MaxValueParameter.ActualValue = new DoubleValue(max);
|
---|
| 84 | else maxValue.Value = max;
|
---|
| 85 | }
|
---|
| 86 | return base.Apply();
|
---|
| 87 | }
|
---|
| 88 | }
|
---|
| 89 | }
|
---|