#region License Information
/* HeuristicLab
* Copyright (C) 2002-2009 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 System;
using System.Collections.Generic;
using System.Text;
using HeuristicLab.Core;
using HeuristicLab.Data;
using HeuristicLab.Operators;
namespace HeuristicLab.Evolutionary {
///
/// Initializes and prepares the children for crossover
///
public class ChildrenInitializer : OperatorBase {
///
public override string Description {
get {
return @"This operator prepares the individuals for crossover.";
}
}
///
/// Initializes a new instance of with one variable info: ParentsPerChild.
///
public ChildrenInitializer()
: base() {
AddVariableInfo(new VariableInfo("ParentsPerChild", "Denotes the number of parents that should be crossed per child. Note that some of the typical crossover operators can only work with 2 parents.", typeof(IntData), VariableKind.In));
GetVariableInfo("ParentsPerChild").Local = true;
AddVariable(new Variable("ParentsPerChild", new IntData(2)));
}
///
/// Initializes the children as new scopes and inserts their parents as subscopes.
///
/// Thrown when the number of selected parents is not a natural multiple of ParentsPerChild.
/// The scope that houses all the selected parents as subscopes.
/// null.
public override IOperation Apply(IScope scope) {
int parents = GetVariableValue("ParentsPerChild", scope, true).Data;
int children = scope.SubScopes.Count;
if (children % parents > 0) throw new InvalidOperationException("ERROR in ChildrenInitializer: The number of selected parents is not a natural multiple of ParentsPerChild");
children /= parents;
for (int i = 0; i < children; i++) {
IScope child = new Scope(i.ToString());
for (int y = 0; y < parents; y++) {
IScope parenty = scope.SubScopes[0];
scope.RemoveSubScope(parenty);
child.AddSubScope(parenty);
}
scope.AddSubScope(child);
}
return null;
}
}
}