#region License Information
/* HeuristicLab
* Copyright (C) 2002-2015 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 HeuristicLab.Common;
using HeuristicLab.Core;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
using HeuristicLab.Data;
namespace HeuristicLab.Algorithms.ParticleSwarmOptimization {
[Item("Ring Topology Initializer", "Connected every particle with its preceeding and its following particle.")]
[StorableType("1A5B1CD5-ACE0-49F7-89D7-EB567677BD09")]
public sealed class RingTopologyInitializer : TopologyInitializer {
#region Construction & Cloning
[StorableConstructor]
private RingTopologyInitializer(bool deserializing) : base(deserializing) { }
private RingTopologyInitializer(RingTopologyInitializer original, Cloner cloner) : base(original, cloner) { }
public RingTopologyInitializer() : base() { }
public override IDeepCloneable Clone(Cloner cloner) {
return new RingTopologyInitializer(this, cloner);
}
#endregion
public override IOperation Apply() {
ItemArray neighbors = new ItemArray(SwarmSize);
for (int i = 0; i < SwarmSize; i++) {
neighbors[i] = new IntArray(new[] { (SwarmSize + i - 1) % SwarmSize, (i + 1) % SwarmSize });
}
Neighbors = neighbors;
return base.Apply();
}
}
}