[5209] | 1 | #region License Information
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| 2 | /* HeuristicLab
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[16453] | 3 | * Copyright (C) 2002-2019 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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[15091] | 27 | using HeuristicLab.Optimization;
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[5209] | 28 | using HeuristicLab.Parameters;
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[16559] | 29 | using HEAL.Attic;
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[5435] | 30 |
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[5209] | 31 | namespace HeuristicLab.Algorithms.ParticleSwarmOptimization {
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[15214] | 32 | [Item("Random Distinct Topology Initializer", "Each particle is informed by exactly k+1 distinct other particles (including itself).")]
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[16462] | 33 | [StorableType("50A4DB55-5C5C-4C0E-A438-6C7DE14EA8A6")]
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[15091] | 34 | public sealed class RandomTopologyInitializer : TopologyInitializer, IStochasticOperator {
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[5209] | 35 | #region Parameters
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[5410] | 36 | public ILookupParameter<IRandom> RandomParameter {
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| 37 | get { return (ILookupParameter<IRandom>)Parameters["Random"]; }
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[5209] | 38 | }
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[5410] | 39 | public IValueLookupParameter<IntValue> NrOfConnectionsParameter {
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| 40 | get { return (IValueLookupParameter<IntValue>)Parameters["NrOfConnections"]; }
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[5209] | 41 | }
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| 42 | #endregion
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[15091] | 43 |
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[5209] | 44 | #region Construction & Cloning
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[5435] | 45 | [StorableConstructor]
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[16462] | 46 | private RandomTopologyInitializer(StorableConstructorFlag _) : base(_) { }
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[5435] | 47 | private RandomTopologyInitializer(RandomTopologyInitializer original, Cloner cloner) : base(original, cloner) { }
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[5209] | 48 | public RandomTopologyInitializer() {
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| 49 | Parameters.Add(new LookupParameter<IRandom>("Random", "A random number generation."));
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| 50 | Parameters.Add(new ValueLookupParameter<IntValue>("NrOfConnections", "Nr of connected neighbors.", new IntValue(3)));
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| 51 | }
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[5435] | 52 |
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[5209] | 53 | public override IDeepCloneable Clone(Cloner cloner) {
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| 54 | return new RandomTopologyInitializer(this, cloner);
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| 55 | }
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| 56 | #endregion
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| 57 |
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| 58 | public override IOperation Apply() {
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[15091] | 59 | var random = RandomParameter.ActualValue;
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| 60 | var swarmSize = SwarmSizeParameter.ActualValue.Value;
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| 61 | var nrOfConnections = NrOfConnectionsParameter.ActualValue.Value;
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| 62 |
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| 63 | ItemArray<IntArray> neighbors = new ItemArray<IntArray>(swarmSize);
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| 64 | for (int i = 0; i < swarmSize; i++) {
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| 65 | var numbers = Enumerable.Range(0, swarmSize).ToList();
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[5209] | 66 | numbers.RemoveAt(i);
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[15181] | 67 | var selectedNumbers = new List<int>(nrOfConnections + 1);
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| 68 | selectedNumbers.Add(i);
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[15091] | 69 | for (int j = 0; j < nrOfConnections && numbers.Count > 0; j++) {
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| 70 | int index = random.Next(numbers.Count);
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[5209] | 71 | selectedNumbers.Add(numbers[index]);
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| 72 | numbers.RemoveAt(index);
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| 73 | }
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[5560] | 74 | neighbors[i] = new IntArray(selectedNumbers.ToArray());
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[5209] | 75 | }
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[15091] | 76 | NeighborsParameter.ActualValue = neighbors;
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[5209] | 77 | return base.Apply();
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| 78 | }
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| 79 | }
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| 80 | }
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