#region License Information
/* HeuristicLab
* Copyright (C) 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 HeuristicLab.Common;
using HeuristicLab.Core;
using HeuristicLab.Encodings.RealVectorEncoding;
using HeuristicLab.Parameters;
using HEAL.Attic;
using HeuristicLab.Problems.TestFunctions.Evaluators;
namespace HeuristicLab.Problems.TestFunctions {
[Item("MultinormalAdditiveMoveEvaluator", "Class for evaluating an additive move on the multinormal function.")]
[StorableType("BF3794EF-E2C1-457C-8460-75EE179B0B30")]
public class MultinormalAdditiveMoveEvaluator : AdditiveMoveEvaluator {
public LookupParameter EvaluatorParameter {
get { return (LookupParameter)Parameters["Evaluator"]; }
}
[StorableConstructor]
protected MultinormalAdditiveMoveEvaluator(StorableConstructorFlag _) : base(_) { }
protected MultinormalAdditiveMoveEvaluator(MultinormalAdditiveMoveEvaluator original, Cloner cloner) : base(original, cloner) { }
public MultinormalAdditiveMoveEvaluator() {
Parameters.Add(new LookupParameter("Evaluator", ""));
}
public override IDeepCloneable Clone(Cloner cloner) {
return new MultinormalAdditiveMoveEvaluator(this, cloner);
}
public override System.Type EvaluatorType {
get { return typeof(MultinormalEvaluator); }
}
protected override double Evaluate(double quality, RealVector point, AdditiveMove move) {
RealVectorAdditiveMoveWrapper wrapper = new RealVectorAdditiveMoveWrapper(move, point);
var eval = EvaluatorParameter.ActualValue as MultinormalEvaluator;
if (eval != null)
return eval.Evaluate(wrapper);
throw new InvalidOperationException("evaluator is not a multinormal evaluator");
}
}
}