#region License Information
/* HeuristicLab
* Copyright (C) 2002-2011 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.Linq;
using HeuristicLab.Common;
using HeuristicLab.Core;
using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
namespace HeuristicLab.Problems.DataAnalysis.Symbolic {
[StorableClass]
[Item("MwDruGrammar", "Represents a grammar for modeling with fixed structures for the voest B1 MwDru target variable.")]
public class MwDruGrammar : SymbolicExpressionGrammar, ISymbolicDataAnalysisGrammar {
[StorableConstructor]
protected MwDruGrammar(bool deserializing) : base(deserializing) { }
protected MwDruGrammar(MwDruGrammar original, Cloner cloner) : base(original, cloner) { }
public MwDruGrammar()
: base(ItemAttribute.GetName(typeof(MwDruGrammar)), ItemAttribute.GetDescription(typeof(TypeCoherentExpressionGrammar))) {
Initialize();
}
public override IDeepCloneable Clone(Cloner cloner) {
return new MwDruGrammar(this, cloner);
}
private HeuristicLab.Problems.DataAnalysis.Symbolic.Variable ggDru;
private HeuristicLab.Problems.DataAnalysis.Symbolic.Variable flamTmp;
private void Initialize() {
var add = new Addition();
var sub = new Subtraction();
var mul = new Multiplication();
var div = new Division();
var log = new Logarithm();
var exp = new Exponential();
var constant = new Constant();
constant.MinValue = -20;
constant.MaxValue = 20;
var variableSymbol = new HeuristicLab.Problems.DataAnalysis.Symbolic.Variable();
var fixedAdd1 = new Addition();
fixedAdd1.Name = "fixed Addition 1";
fixedAdd1.Fixed = true;
var fixedAdd2 = new Addition();
fixedAdd2.Name = "fixed Addition 2";
fixedAdd2.Fixed = true;
var fixedMul = new Multiplication();
fixedMul.Name = "fixed Multiplication";
fixedMul.Fixed = true;
ggDru = new HeuristicLab.Problems.DataAnalysis.Symbolic.Variable();
ggDru.Name = "fixed Variable GGDru";
ggDru.Fixed = true;
ggDru.VariableNames = new List() { "GGDRU" };
ggDru.WeightManipulatorMu = 1;
ggDru.WeightManipulatorSigma = 0;
ggDru.WeightMu = 1;
ggDru.WeightSigma = 0;
ggDru.MultiplicativeWeightManipulatorSigma = 0;
ggDru.Changed += new EventHandler(ggDru_Changed);
flamTmp = new HeuristicLab.Problems.DataAnalysis.Symbolic.Variable();
flamTmp.Name = "fixed Variable FlamTmp";
flamTmp.Fixed = true;
flamTmp.VariableNames = new List() { "FLAMTMP" };
flamTmp.WeightManipulatorMu = 1;
flamTmp.WeightManipulatorSigma = 0;
flamTmp.WeightMu = 1;
flamTmp.WeightSigma = 0;
flamTmp.MultiplicativeWeightManipulatorSigma = 0;
flamTmp.Changed += new EventHandler(flamTmp_Changed);
var c273 = new Constant();
c273.Name = "fixed Constant 273";
c273.Fixed = true;
c273.MinValue = 273;
c273.MaxValue = 273;
c273.ManipulatorMu = 0;
c273.ManipulatorSigma = 0;
c273.MultiplicativeManipulatorSigma = 0;
var allSymbols = new List()
{ add, sub, mul, div, log, exp, constant, variableSymbol,
fixedAdd1,fixedAdd2,fixedMul,ggDru,flamTmp,c273};
var unaryFunctionSymbols = new List() { log, exp };
var binaryFunctionSymbols = new List() { add, sub, mul, div };
var terminalSymbols = new List() { variableSymbol, constant };
var fixedTerminalSymbols = new List() { ggDru, flamTmp, c273 };
var realValuedSymbols = unaryFunctionSymbols.Concat(binaryFunctionSymbols).Concat(terminalSymbols);
foreach (var symb in allSymbols)
AddSymbol(symb);
foreach (var terminalSymbol in terminalSymbols) {
SetSubtreeCount(terminalSymbol, 0, 0);
}
foreach (var terminalSymbol in fixedTerminalSymbols) {
SetSubtreeCount(terminalSymbol, 0, 0);
}
foreach (var unaryFun in unaryFunctionSymbols) {
SetSubtreeCount(unaryFun, 1, 1);
}
foreach (var binaryFun in binaryFunctionSymbols) {
SetSubtreeCount(binaryFun, 2, 2);
}
SetSubtreeCount(fixedAdd1, 3, 3);
SetSubtreeCount(fixedMul, 3, 3);
SetSubtreeCount(fixedAdd2, 2, 2);
AddAllowedChildSymbol(StartSymbol, fixedAdd1);
AddAllowedChildSymbol(fixedAdd1, fixedMul, 0);
AddAllowedChildSymbol(fixedAdd1, ggDru, 1);
foreach (var symb in unaryFunctionSymbols.Concat(binaryFunctionSymbols).Concat(terminalSymbols))
AddAllowedChildSymbol(fixedAdd1, symb, 2);
AddAllowedChildSymbol(fixedMul, constant, 0);
AddAllowedChildSymbol(fixedMul, fixedAdd2, 1);
foreach (var symb in realValuedSymbols)
AddAllowedChildSymbol(fixedMul, symb, 2);
AddAllowedChildSymbol(fixedAdd2, c273, 0);
AddAllowedChildSymbol(fixedAdd2, flamTmp, 1);
foreach (var symb in unaryFunctionSymbols) {
foreach (var childSymb in realValuedSymbols) {
AddAllowedChildSymbol(symb, childSymb);
}
}
foreach (var symb in binaryFunctionSymbols) {
foreach (var childSymb in realValuedSymbols) {
AddAllowedChildSymbol(symb, childSymb);
}
}
}
private void flamTmp_Changed(object sender, System.EventArgs e) {
if (flamTmp.VariableNames.Count() != 1 || flamTmp.VariableNames.ElementAt(0) != "FLAMTMP")
flamTmp.VariableNames = new List() { "FLAMTMP" };
}
private void ggDru_Changed(object sender, System.EventArgs e) {
if (ggDru.VariableNames.Count() != 1 || ggDru.VariableNames.ElementAt(0) != "GGDRU")
ggDru.VariableNames = new List() { "GGDRU" };
}
}
}