#region License Information
/* HeuristicLab
* Copyright (C) 2002-2012 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 HeuristicLab.Common;
using HeuristicLab.Core;
using HeuristicLab.Data;
using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
using HeuristicLab.Operators;
using HeuristicLab.Optimization;
using HeuristicLab.Parameters;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
namespace HeuristicLab.Problems.ArtificialAnt {
[Item("ArtificialAntEvaluator", "Evaluates an artificial ant solution.")]
[StorableClass]
public class Evaluator : SingleSuccessorOperator, ISingleObjectiveEvaluator {
public ILookupParameter QualityParameter {
get { return (ILookupParameter)Parameters["Quality"]; }
}
public ILookupParameter SymbolicExpressionTreeParameter {
get { return (ILookupParameter)Parameters["SymbolicExpressionTree"]; }
}
public ILookupParameter WorldParameter {
get { return (ILookupParameter)Parameters["World"]; }
}
public ILookupParameter MaxTimeStepsParameter {
get { return (ILookupParameter)Parameters["MaxTimeSteps"]; }
}
[StorableConstructor]
protected Evaluator(bool deserializing) : base(deserializing) { }
protected Evaluator(Evaluator original, Cloner cloner) : base(original, cloner) { }
public override IDeepCloneable Clone(Cloner cloner) { return new Evaluator(this, cloner); }
public Evaluator()
: base() {
Parameters.Add(new LookupParameter("Quality", "The quality of the evaluated artificial ant solution."));
Parameters.Add(new LookupParameter("SymbolicExpressionTree", "The artificial ant solution encoded as a symbolic expression tree that should be evaluated"));
Parameters.Add(new LookupParameter("World", "The world for the artificial ant with scattered food items."));
Parameters.Add(new LookupParameter("MaxTimeSteps", "The maximal number of time steps that the artificial ant should be simulated."));
}
public sealed override IOperation Apply() {
SymbolicExpressionTree expression = SymbolicExpressionTreeParameter.ActualValue;
BoolMatrix world = WorldParameter.ActualValue;
IntValue maxTimeSteps = MaxTimeStepsParameter.ActualValue;
AntInterpreter interpreter = new AntInterpreter();
interpreter.MaxTimeSteps = maxTimeSteps.Value;
interpreter.World = world;
interpreter.Expression = expression;
interpreter.Run();
QualityParameter.ActualValue = new DoubleValue(interpreter.FoodEaten);
return null;
}
}
}