source: branches/1614_GeneralizedQAP/HeuristicLab.Problems.GeneralizedQuadraticAssignment/3.3/Moves/StochasticNMoveMultiMoveGenerator.cs @ 15683

#region License Information
/* HeuristicLab
 * Copyright (C) 2002-2017 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
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 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 * GNU General Public License for more details.
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 * You should have received a copy of the GNU General Public License
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#endregion

using System.Collections.Generic;
using HeuristicLab.Common;
using HeuristicLab.Core;
using HeuristicLab.Data;
using HeuristicLab.Encodings.IntegerVectorEncoding;
using HeuristicLab.Optimization;
using HeuristicLab.Parameters;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;

namespace HeuristicLab.Problems.GeneralizedQuadraticAssignment {
  [Item("Stochastic N-Move MultiMoveGenerator", "Randomly samples a number of N-Moves.")]
  [StorableClass]
  public class StochasticNMoveMultiMoveGenerator : GQAPNMoveGenerator, IStochasticOperator, IMultiMoveGenerator {
    
    public ILookupParameter<IRandom> RandomParameter {
      get { return (ILookupParameter<IRandom>)Parameters["Random"]; }
    }
    public IValueLookupParameter<IntValue> SampleSizeParameter {
      get { return (IValueLookupParameter<IntValue>)Parameters["SampleSize"]; }
    }

    [StorableConstructor]
    protected StochasticNMoveMultiMoveGenerator(bool deserializing) : base(deserializing) { }
    protected StochasticNMoveMultiMoveGenerator(StochasticNMoveMultiMoveGenerator original, Cloner cloner) : base(original, cloner) { }
    public StochasticNMoveMultiMoveGenerator()
      : base() {
      Parameters.Add(new LookupParameter<IRandom>("Random", "The random number generator that should be used."));
      Parameters.Add(new ValueLookupParameter<IntValue>("SampleSize", "The number of moves to generate."));
    }

    public override IDeepCloneable Clone(Cloner cloner) {
      return new StochasticNMoveMultiMoveGenerator(this, cloner);
    }

    public static IEnumerable<NMove> Generate(IRandom random, IntegerVector assignment, int n, GQAPInstance problemInstance, int sampleSize) {
      for (int i = 0; i < sampleSize; i++)
        yield return StochasticNMoveSingleMoveGenerator.GenerateUpToN(random, assignment, n, problemInstance.Capacities);
    }

    public override IEnumerable<NMove> GenerateMoves(IntegerVector assignment, int n, GQAPInstance problemInstance) {
      return Generate(RandomParameter.ActualValue, assignment, n, problemInstance, SampleSizeParameter.ActualValue.Value);
    }
  }
}