#region License Information
/* HeuristicLab
* Copyright (C) 2002-2019 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 HEAL.Attic;
using HeuristicLab.Common;
using HeuristicLab.Core;
using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
using HeuristicLab.Random;
using System.Collections.Generic;
using System.Linq;
namespace HeuristicLab.Algorithms.EvolvmentModelsOfModels {
[Item("IslandMap", "A map of models of models of models")]
[StorableType("E4AB04B9-FD5D-47EE-949D-243660754F3A")]
public class EMMIslandMap : EMMMapBase {
[Storable]
public List ClusterNumber { get; set; } // May be only Island Map really need it
#region conctructors
[StorableConstructor]
protected EMMIslandMap(StorableConstructorFlag _) : base(_) { }
public EMMIslandMap() {
ModelSet = new List();
ClusterNumber = new List();
}
public override IDeepCloneable Clone(Cloner cloner) {
return new EMMIslandMap(this, cloner);
}
public EMMIslandMap(EMMIslandMap original, Cloner cloner) : base(original, cloner) {
if (original.ClusterNumber != null) {
ClusterNumber = original.ClusterNumber.ToList();
}
}
#endregion
#region MapApplayFunctions
override public void CreateMap(IRandom random, int k) {
k = EMModelsClusterizationAlgorithm.ApplyClusteringAlgorithm(random, CalculateDistances(), ClusterNumber, k);
MapSizeCheck(k);
for (int i = 0; i < ModelSet.Count; i++) {
Map[ClusterNumber[i]].Add(i);
}
}
override public ISymbolicExpressionTree NewModelForInizializtionNotTree(IRandom random, out int treeNumber) {
return NewModelForInizializtion(random, out treeNumber);
}
public override ISymbolicExpressionTree NewModelForMutation(IRandom random, out int treeNumber, int parentTreeNumber) {
if (parentTreeNumber == -10) {
treeNumber = random.Next(ModelSet.Count);
} else {
treeNumber = Map[ClusterNumber[parentTreeNumber]].SampleRandom(random);
}
return (ISymbolicExpressionTree)ModelSet[treeNumber].Clone();
}
public void ClusterNumbersCalculate() { // May be it should be transported to Child Clase (IslandMap)
for (int i = 0; i < Map.Count; i++) {
for (int j = 0; j < Map[i].Count; j++) {
ClusterNumber.Add(0);
}
}
for (int i = 0; i < Map.Count; i++) {
for (int j = 0; j < Map[i].Count; j++) {
ClusterNumber[Map[i][j]] = i;
}
}
}
#endregion
}
}