source: branches/GrammaticalEvolution/HeuristicLab.Problems.GrammaticalEvolution/Mappers/GenotypeToPhenotypeMapper.cs @ 10039

#region License Information
/* HeuristicLab
 * Copyright (C) 2002-2013 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 <http://www.gnu.org/licenses/>.
 */
#endregion

using System.Collections.Generic;
using System.Linq;
using HeuristicLab.Common;
using HeuristicLab.Encodings.IntegerVectorEncoding;
using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
using HeuristicLab.Problems.GrammaticalEvolution.Mappers;
using HeuristicLab.Random;

namespace HeuristicLab.Problems.GrammaticalEvolution {
  /// <summary>
  /// GenotypeToPhenotypeMapper
  /// </summary>
  public abstract class GenotypeToPhenotypeMapper : IntegerVectorOperator, IGenotypeToPhenotypeMapper {
    
    [StorableConstructor]
    protected GenotypeToPhenotypeMapper(bool deserializing) : base(deserializing) { }
    protected GenotypeToPhenotypeMapper(GenotypeToPhenotypeMapper original, Cloner cloner) : base(original, cloner) { }
    protected GenotypeToPhenotypeMapper() : base() { }
    
    public abstract SymbolicExpressionTree Map(ISymbolicExpressionGrammar grammar,
                                               IntegerVector genotype);
    
    /// <summary>
    /// Randomly returns a terminal node for the given <paramref name="parentNode"/>.
    /// (A terminal has got a minimum and maximum arity of 0.)
    /// </summary>
    /// <param name="parentNode">parent node for which a child node is returned randomly</param>
    /// <param name="grammar">grammar definition to determine the allowed child symbols for parentNode</param>
    /// <returns>randomly chosen terminal node with arity 0</returns>
    protected ISymbolicExpressionTreeNode GetRandomTerminalNode(ISymbolicExpressionTreeNode parentNode,
                                                              ISymbolicExpressionGrammar  grammar) {
      var possibleSymbolsList = from   s in grammar.GetAllowedChildSymbols(parentNode.Symbol)
                                where  s.MaximumArity == 0
                                where  s.MinimumArity == 0
                                select s;
      // TODO: Check, if symbol list is empty (no terminal nodes found) - what should happen? 
      return possibleSymbolsList.SelectRandom(new MersenneTwister()).CreateTreeNode();
    }
    
    
    /// <summary>
    /// Returns a randomly chosen child node for the given <paramref name="parentNode"/>.
    /// </summary>
    /// <param name="parentNode">parent node to find a child node randomly for</param>
    /// <param name="genotype">integer vector, which should be mapped to a tree</param>
    /// <param name="grammar">grammar definition used to define the allowed child symbols</param>
    /// <param name="genotypeIndex">index in the integer vector; can be greater than vector length</param>
    /// <returns>randomly chosen child node for parentNode</returns>
    protected ISymbolicExpressionTreeNode GetNewChildNode(ISymbolicExpressionTreeNode parentNode,
                                                          IntegerVector genotype,
                                                          ISymbolicExpressionGrammar grammar,
                                                          int genotypeIndex) {
      
      IEnumerable<ISymbol> symbolList = grammar.GetAllowedChildSymbols(parentNode.Symbol);
      int prodRuleCount = symbolList.Count();
      int prodRuleIndex = genotype[genotypeIndex % genotype.Length] % prodRuleCount;
      
      return symbolList.ElementAt(prodRuleIndex).CreateTreeNode();
    }
  }
}