source: branches/GeneralizedQAP/HeuristicLab.Problems.GeneralizedQuadraticAssignment/3.3/Moves/StochasticNMoveSingleMoveGenerator.cs @ 15511

#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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 * GNU General Public License for more details.
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#endregion

using System;
using System.Collections.Generic;
using System.Linq;
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;
using HeuristicLab.Random;

namespace HeuristicLab.Problems.GeneralizedQuadraticAssignment {
  [Item("Stochastic N-Move SingleMoveGenerator", "Randomly samples a single N-Move.")]
  [StorableClass]
  public class StochasticNMoveSingleMoveGenerator : GQAPNMoveGenerator, IStochasticOperator, ISingleMoveGenerator {
    
    public ILookupParameter<IRandom> RandomParameter {
      get { return (ILookupParameter<IRandom>)Parameters["Random"]; }
    }

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

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

    public static NMove GenerateUpToN(IRandom random, IntegerVector assignment, int n, DoubleArray capacities) {
      return GenerateExactlyN(random, assignment, random.Next(n) + 1, capacities);
    }

    public static NMove GenerateExactlyN(IRandom random, IntegerVector assignment, int n, DoubleArray capacities) {
      if (capacities.Length <= 1) throw new ArgumentException("There must be at least two locations.");
      var dim = assignment.Length;
      var reassignment = new int[dim];
      var equipments = Enumerable.Range(0, dim).SampleRandomWithoutRepetition(random, n, dim).ToList();
      for (var i = 0; i < n; i++) {
        var equip = equipments[i];
        do {
          reassignment[equip] = random.Next(capacities.Length) + 1;
        } while (reassignment[equip] == assignment[equip] + 1);
      }
      return new NMove(reassignment, equipments);
    }

    public override IEnumerable<NMove> GenerateMoves(IntegerVector assignment, int n, GQAPInstance problemInstance) {
      yield return GenerateUpToN(RandomParameter.ActualValue, assignment, n, problemInstance.Capacities);
    }
  }
}