[13368] | 1 | #region License Information
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[5209] | 2 | /* HeuristicLab
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[12012] | 3 | * Copyright (C) 2002-2015 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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[5209] | 4 | *
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| 5 | * This file is part of HeuristicLab.
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| 6 | *
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| 7 | * HeuristicLab is free software: you can redistribute it and/or modify
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| 8 | * it under the terms of the GNU General Public License as published by
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| 9 | * the Free Software Foundation, either version 3 of the License, or
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| 10 | * (at your option) any later version.
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| 11 | *
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| 12 | * HeuristicLab is distributed in the hope that it will be useful,
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| 13 | * but WITHOUT ANY WARRANTY; without even the implied warranty of
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| 14 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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| 15 | * GNU General Public License for more details.
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| 16 | *
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| 17 | * You should have received a copy of the GNU General Public License
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| 18 | * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
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| 19 | */
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| 20 | #endregion
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| 21 |
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| 22 | using System.Collections.Generic;
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| 23 | using System.Linq;
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| 24 | using HeuristicLab.Common;
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| 25 | using HeuristicLab.Core;
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| 26 | using HeuristicLab.Data;
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| 27 | using HeuristicLab.Parameters;
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| 28 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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[5435] | 29 |
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[5209] | 30 | namespace HeuristicLab.Algorithms.ParticleSwarmOptimization {
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[5316] | 31 | [Item("Random Topology Initializer", "Randomly connectes every particle with k other particles.")]
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[14711] | 32 | [StorableType("51896760-09D3-404D-8ADD-F1A38E21C95A")]
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[5435] | 33 | public sealed class RandomTopologyInitializer : TopologyInitializer {
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[5209] | 34 | #region Parameters
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[5410] | 35 | public ILookupParameter<IRandom> RandomParameter {
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| 36 | get { return (ILookupParameter<IRandom>)Parameters["Random"]; }
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[5209] | 37 | }
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[5410] | 38 | public IValueLookupParameter<IntValue> NrOfConnectionsParameter {
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| 39 | get { return (IValueLookupParameter<IntValue>)Parameters["NrOfConnections"]; }
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[5209] | 40 | }
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| 41 | #endregion
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| 42 |
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| 43 | #region Parameter Values
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[5435] | 44 | private IRandom Random {
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[5209] | 45 | get { return RandomParameter.ActualValue; }
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| 46 | }
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[5435] | 47 | private int NrOfConnections {
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[5209] | 48 | get { return NrOfConnectionsParameter.ActualValue.Value; }
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| 49 | }
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| 50 | #endregion
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| 51 |
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| 52 | #region Construction & Cloning
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[5435] | 53 | [StorableConstructor]
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| 54 | private RandomTopologyInitializer(bool deserializing) : base(deserializing) { }
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| 55 | private RandomTopologyInitializer(RandomTopologyInitializer original, Cloner cloner) : base(original, cloner) { }
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[5209] | 56 | public RandomTopologyInitializer() {
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| 57 | Parameters.Add(new LookupParameter<IRandom>("Random", "A random number generation."));
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| 58 | Parameters.Add(new ValueLookupParameter<IntValue>("NrOfConnections", "Nr of connected neighbors.", new IntValue(3)));
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| 59 | }
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[5435] | 60 |
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[5209] | 61 | public override IDeepCloneable Clone(Cloner cloner) {
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| 62 | return new RandomTopologyInitializer(this, cloner);
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| 63 | }
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| 64 | #endregion
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| 65 |
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| 66 | public override IOperation Apply() {
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[5560] | 67 | ItemArray<IntArray> neighbors = new ItemArray<IntArray>(SwarmSize);
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[5435] | 68 | for (int i = 0; i < SwarmSize; i++) {
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[5209] | 69 | var numbers = Enumerable.Range(0, SwarmSize).ToList();
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| 70 | numbers.RemoveAt(i);
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| 71 | var selectedNumbers = new List<int>(NrOfConnections);
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[5435] | 72 | for (int j = 0; j < NrOfConnections && numbers.Count > 0; j++) {
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[5209] | 73 | int index = Random.Next(numbers.Count);
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| 74 | selectedNumbers.Add(numbers[index]);
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| 75 | numbers.RemoveAt(index);
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| 76 | }
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[5560] | 77 | neighbors[i] = new IntArray(selectedNumbers.ToArray());
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[5209] | 78 | }
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| 79 | Neighbors = neighbors;
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| 80 | return base.Apply();
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| 81 | }
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| 82 | }
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| 83 | }
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