source: branches/2936_GQAPIntegration/HeuristicLab.Problems.GeneralizedQuadraticAssignment/3.3/Operators/Manipulators/RelocateEquipmentManipluator.cs @ 16077

#region License Information
/* HeuristicLab
 * Copyright (C) 2002-2018 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
 *
 * This file is part of HeuristicLab.
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 * HeuristicLab is free software: you can redistribute it and/or modify
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#endregion

using System;
using System.Linq;
using HeuristicLab.Common;
using HeuristicLab.Core;
using HeuristicLab.Encodings.IntegerVectorEncoding;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
using HeuristicLab.Random;

namespace HeuristicLab.Problems.GeneralizedQuadraticAssignment {

  [Item("RelocateEquipmentManipluator", "Relocates a random equipment from an overstuffed location to a random one with space or a random equipment if constraints are satisfied.")]
  [StorableClass]
  public class RelocateEquipmentManipluator : GQAPManipulator {
    
    [StorableConstructor]
    protected RelocateEquipmentManipluator(bool deserializing) : base(deserializing) { }
    protected RelocateEquipmentManipluator(RelocateEquipmentManipluator original, Cloner cloner) : base(original, cloner) { }
    public RelocateEquipmentManipluator()
      : base() {
    }

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

    public static void Apply(IRandom random, IntegerVector assignment, int locations, double stopProb) {
      if (locations < 2) throw new InvalidOperationException("There are not enough locations for relocation operations.");

      var equipments = Enumerable.Range(0, assignment.Length).Shuffle(random);
      foreach (var equipment in equipments) {
        var oldLoc = assignment[equipment];
        assignment[equipment] = (oldLoc + random.Next(1, locations)) % locations;
        if (random.NextDouble() < stopProb) break;
      }
    }

    protected override void Manipulate(IRandom random, IntegerVector vector, GQAPInstance problemInstance) {
      Apply(random, vector, problemInstance.Capacities.Length, 4.0 / problemInstance.Demands.Length);
    }
  }
}