#region License Information /* HeuristicLab * Copyright (C) 2002-2015 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 . */ #endregion using System; using System.Linq; using HeuristicLab.Common; using HeuristicLab.Core; using HeuristicLab.Data; using HeuristicLab.Operators; using HeuristicLab.Parameters; using HeuristicLab.Persistence.Default.CompositeSerializers.Storable; namespace HeuristicLab.Algorithms.ALPS { [Item("WeightingReducer", "An operator that combines two values based on the weight of the lower (0.0) and higher (1.0) value.")] [StorableClass] public sealed class WeightingReducer : SingleSuccessorOperator { public IScopeTreeLookupParameter ParameterToReduce { get { return (IScopeTreeLookupParameter)Parameters["ParameterToReduce"]; } } public ILookupParameter TargetParameter { get { return (ILookupParameter)Parameters["TargetParameter"]; } } public IValueLookupParameter WeightParameter { get { return (IValueLookupParameter)Parameters["Weight"]; } } [StorableConstructor] private WeightingReducer(bool deserializing) : base(deserializing) { } private WeightingReducer(WeightingReducer original, Cloner cloner) : base(original, cloner) { } public override IDeepCloneable Clone(Cloner cloner) { return new WeightingReducer(this, cloner); } public WeightingReducer() : base() { Parameters.Add(new ScopeTreeLookupParameter("ParameterToReduce", "The parameter on which the weighting should be applied.")); Parameters.Add(new LookupParameter("TargetParameter", "The target variable in which the weighted value should be stored.")); Parameters.Add(new ValueLookupParameter("Weight", "Weight of the two values (0.0 for the smaller, 1.0 for the larger).")); } public override IOperation Apply() { var values = ParameterToReduce.ActualValue; if (values.Length != 2) throw new InvalidOperationException("Weighting between values can only done for two values."); double weight = WeightParameter.ActualValue.Value; double max = values.Max(v => v.Value); double min = values.Min(v => v.Value); double result = max * weight + min * (1 - weight); if (TargetParameter.ActualValue == null) TargetParameter.ActualValue = new DoubleValue(result); else TargetParameter.ActualValue.Value = result; return base.Apply(); } } }