using System.Linq; using HeuristicLab.Common; using HeuristicLab.Core; using HeuristicLab.Data; using HeuristicLab.Operators; using HeuristicLab.Optimization; using HeuristicLab.Parameters; using HEAL.Attic; namespace HeuristicLab.Problems.MetaOptimization { // todo: item name/descr... [StorableType("ACFF1652-4E03-4A30-9A93-331F32FC13EF")] public abstract class ParameterConfigurationManipulator : SingleSuccessorOperator, IParameterConfigurationManipulator, IStochasticOperator { public override bool CanChangeName { get { return false; } } public ILookupParameter RandomParameter { get { return (ILookupParameter)Parameters["Random"]; } } public IValueLookupParameter ParameterConfigurationTreeParameter { get { return (IValueLookupParameter)Parameters["ParameterConfigurationTree"]; } } public IValueLookupParameter IntValueManipulatorParameter { get { return (IValueLookupParameter)Parameters[MetaOptimizationProblem.IntValueManipulatorParameterName]; } } public IValueLookupParameter DoubleValueManipulatorParameter { get { return (IValueLookupParameter)Parameters[MetaOptimizationProblem.DoubleValueManipulatorParameterName]; } } public ParameterConfigurationManipulator() { Parameters.Add(new ValueLookupParameter("Random", "The pseudo random number generator which should be used for stochastic manipulation operators.")); Parameters.Add(new ValueLookupParameter("ParameterConfigurationTree", "The parameter configuration which should be manipulated.")); Parameters.Add(new ValueLookupParameter(MetaOptimizationProblem.IntValueManipulatorParameterName, "")); Parameters.Add(new ValueLookupParameter(MetaOptimizationProblem.DoubleValueManipulatorParameterName, "")); } [StorableConstructor] protected ParameterConfigurationManipulator(StorableConstructorFlag _) : base(_) { } protected ParameterConfigurationManipulator(ParameterConfigurationManipulator original, Cloner cloner) : base(original, cloner) { } public override IOperation Apply() { Apply(RandomParameter.ActualValue, ParameterConfigurationTreeParameter.ActualValue, IntValueManipulatorParameter.ActualValue, DoubleValueManipulatorParameter.ActualValue); return base.Apply(); } public static void Apply(IRandom random, IValueConfiguration configuration, IIntValueManipulator intValueManipulator, IDoubleValueManipulator doubleValueManipulator) { configuration.Mutate(random, Mutate, intValueManipulator, doubleValueManipulator); } public static void Mutate(IRandom random, IOptimizable configuration, IIntValueManipulator intValueManipulator, IDoubleValueManipulator doubleValueManipulator) { var vc = configuration as RangeValueConfiguration; var pc = configuration as IParameterConfiguration; if (vc != null) { var value = vc.ActualValue.Value; var range = vc.RangeConstraint; if (value is IntValue) { intValueManipulator.Apply(random, (IntValue)value, (IntValueRange)range); } else if (value is PercentValue) { doubleValueManipulator.Apply(random, (PercentValue)value, ((PercentValueRange)range).AsDoubleValueRange()); } else if (value is DoubleValue) { doubleValueManipulator.Apply(random, (DoubleValue)value, (DoubleValueRange)range); } } else if (pc != null) { do { pc.ActualValueConfigurationIndex = random.Next(pc.ValueConfigurations.Count()); } while (!pc.ValueConfigurations.ItemChecked(pc.ValueConfigurations[pc.ActualValueConfigurationIndex])); pc.ActualValue = pc.ValueConfigurations[pc.ActualValueConfigurationIndex].ActualValue; } } } }