#region License Information
/* HeuristicLab
* Copyright (C) 2002-2010 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.Encodings.RealVectorEncoding;
using HeuristicLab.Parameters;
using HeuristicLab.Problems.TestFunctions.Evaluators;
using HEAL.Attic;
namespace HeuristicLab.Problems.TestFunctions {
[Item("CustomAdditiveMoveEvaluator", "Class for evaluating an additive move on a custom test function.")]
[StorableType("F50ACE87-C3E0-42BA-B70C-57EEEEF2DF42")]
public class CustomAdditiveMoveEvaluator : AdditiveMoveEvaluator {
public LookupParameter EvaluatorParameter {
get { return (LookupParameter)Parameters["Evaluator"]; }
}
[StorableConstructor]
protected CustomAdditiveMoveEvaluator(StorableConstructorFlag _) : base(_) { }
protected CustomAdditiveMoveEvaluator(CustomAdditiveMoveEvaluator original, Cloner cloner) : base(original, cloner) { }
public CustomAdditiveMoveEvaluator() {
Parameters.Add(new LookupParameter("Evaluator", ""));
}
public override IDeepCloneable Clone(Cloner cloner) {
return new CustomAdditiveMoveEvaluator(this, cloner);
}
public override System.Type EvaluatorType {
get { return typeof(CustomEvaluator); }
}
protected override double Evaluate(double quality, RealVector point, AdditiveMove move) {
RealVector vector = new RealVector(point.Select((x, i) => move.Dimension == i ? x + move.MoveDistance : x).ToArray());
var eval = EvaluatorParameter.ActualValue as CustomEvaluator;
if (eval != null)
return eval.Evaluate(vector);
throw new InvalidOperationException("evaluator is not a custom evaluator");
}
}
}