#region License Information
/* HeuristicLab
 * Copyright (C) 2002-2016 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 <http://www.gnu.org/licenses/>.
 */
#endregion

using HeuristicLab.Common;
using HeuristicLab.Core;
using HeuristicLab.Encodings.RealVectorEncoding;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;

// ReSharper disable once CheckNamespace
namespace HeuristicLab.Algorithms.EGO {

  [StorableClass]
  [Item("ExpectedQualityMeassure", "Use the quality predicted by the model")]
  public class ExpectedQuality : InfillCriterionBase {
    #region Constructors, Serialization and Cloning 
    [StorableConstructor]
    protected ExpectedQuality(bool deserializing) : base(deserializing) { }
    protected ExpectedQuality(ExpectedQuality original, Cloner cloner) : base(original, cloner) { }
    public ExpectedQuality() { }
    public override IDeepCloneable Clone(Cloner cloner) {
      return new ExpectedQuality(this, cloner);
    }
    #endregion

    public override double Evaluate(RealVector vector) {
      return ExpensiveMaximization ? RegressionSolution.Model.GetEstimation(vector) : -RegressionSolution.Model.GetEstimation(vector);
    }

    public override void Initialize() {
    }
  }
}