/// <summary>
/// Resets programs
/// </summary>
private void ResetProgram()
{
//unscribe to events
if (_mainGPFactory != null)
{
this._mainGPFactory.ReportEvolution -= new EvolutionHandler(gpFactory_ReportEvolution);
}
if (_secondFactory != null)
{
this._secondFactory.ReportEvolution -= new EvolutionHandler(gpFactory_ReportEvolution);
}
_mainGPFactory = null;
_secondFactory = null;
}
/// <summary>
///
/// </summary>
/// <param name="factory"></param>
/// <returns></returns>
private string[] PreparePopulationForSave(GPFactory factory)
{
string[] str;
if (factory != null)
{
//var pop = factory.GetPopulation();
var popSize = factory.GetpopSize();
var chroms = factory.GetChromosomes();
var best = factory.BestChromosome();
if (popSize == 0)
{
str = new string[popSize + 1];
str[0] = "0;-";
return(str);
}
str = new string[popSize + 1];
str[0] = popSize.ToString() + ";";
str[0] += best == null ? "-;-" : best.ToString();
for (int i = 0; i < popSize; i++)
{
if (i < chroms.Count)
{
str[i + 1] = chroms[i].ToString();
}
else
{
str[i + 1] = "0;1000";
}
}
return(str);
}
else
{
return(null);
}
}
/// <summary>
///
/// </summary>
/// <param name="lines"></param>
/// <param name="factory"></param>
/// <param name="curLine"></param>
/// <param name="typeChromosome"></param>
/// <returns></returns>
private int SecondPopulationFromString(string[] lines, GPFactory factory, int curLine, int typeChromosome = 1)
{
curLine++;
//Line 8: populationSize; maxFitness; BestChromosome
if (lines.Length <= curLine)
{
//MessageBox.Show("Fie is corrupt!");
return(-1);
}
var str = lines[curLine].Split(';');
if (lines[curLine] == "-" || lines[curLine] == "-\r")
{
return(curLine += 3);
}
//first number is popSIze
int popSize = 0;
if (!int.TryParse(str[0], out popSize))
{
popSize = 0;
}
if (_optimizePanel != null)
{
//last number i +s optimization type
string optType = str[str.Length - 1];
if (optType == "0" || optType == "0\r")
{
_optimizePanel.SetOptType(false);
}
else
{
_optimizePanel.SetOptType(true);
}
if (typeChromosome == 1)
{
PrepareGP(false);
}
else if (typeChromosome == 2)
{
PrepareGA(false);
GANumChromosome.functionSet = factory.GetFunctionSet();
}
}
curLine++;
//Get Optimization function
List <IChromosome> chromosomes = new List <IChromosome>();
curLine++;
for (int i = 0; i < popSize; i++)
{
var ch = GANumChromosome.CreateFromString(lines[i + curLine]);
chromosomes.Add(ch);
}
if (factory != null)
{
factory.SetChromosomes(chromosomes);
factory.CalculatePopulation();
}
return(popSize == 0?2:popSize + curLine);
}
/// <summary>
///
/// </summary>
/// <param name="lines"></param>
/// <param name="factory"></param>
/// <param name="curLine"></param>
/// <param name="typeChromosome"></param>
/// <returns></returns>
private int MainPopulationFromString(string[] lines, GPFactory factory, int curLine)
{
curLine++;
//Line 8: populationSize; maxFitness; BestChromosome
if (lines.Length <= curLine)
{
//MessageBox.Show("Fie is corrupt!");
return(-1);
}
var str = lines[curLine].Split(';');
if (lines[curLine] == "-" || lines[curLine] == "-\r")
{
return(curLine += 2);
}
if (_GPModel == GPModelType.TSP)
{
PrepareTSP(false);
}
else if (_GPModel == GPModelType.AP)
{
PrepareALOC(false);
}
else if (_GPModel == GPModelType.TP)
{
PrepareTrans(false);
}
else
{
PrepareGP(false);
}
int popSize = 0;
if (!int.TryParse(str[0], out popSize))
{
popSize = 0;
}
List <IChromosome> chromosomes = new List <IChromosome>();
for (int i = 0; i < popSize; i++)
{
IChromosome ch = null;
if (_GPModel == GPModelType.TSP || _GPModel == GPModelType.AP)
{
ch = GAVChromosome.CreateFromString(lines[i + curLine + 1]);
}
else if (_GPModel == GPModelType.TP)
{
ch = GAMChromosome.CreateFromString(lines[i + curLine + 1]);
}
else
{
ch = GPChromosome.CreateFromString(lines[i + curLine + 1]);
}
chromosomes.Add(ch);
}
factory.SetChromosomes(chromosomes);
factory.CalculatePopulation();
return(popSize + 7);
}
/// <summary>
///
/// </summary>
/// <param name="strFile"></param>
/// <returns></returns>
bool SaveToFile(string strFile)
{
if (strFile == null)
{
return(false);
}
if (_setPanel == null && _setANNPanel == null)
{
return(false);
}
if ((Globals.gpterminals == null || Globals.gpterminals.TrainingData == null) && _GPModel != GPModelType.ANNMODEL)
{
MessageBox.Show("Cannot save empty model!");
return(false);
}
//Optimization of analitic function is not implemented yet
if (_GPModel == GPModelType.AO)
{
MessageBox.Show("Saving Analytic function optimization model is not supported.!");
return(false);
}
// open selected file and retrieve the content
using (TextWriter tw = new StreamWriter(strFile))
{
tw.Flush();
//Line1: Moel type and header information
//tw.WriteLine("!GPdotNET v2.0 File format ");
tw.WriteLine("!GPdotNET v4.0 File format ");
tw.WriteLine("!");
tw.WriteLine("!line 1: GP Model 1- symbolic regression; 2 -symbolic regression with optimisation, 3 - time series, 4- analytic optimisation, 5- TSP, 6-AP ,7-TP, 8-ANNMODEL, 9 - GPMODEL");
int model = (int)_GPModel;
tw.WriteLine(model.ToString());
string data = null;
//Line2: Training DATA
if (model < 8)
{
tw.WriteLine("!line 2 Training Data");
if (_dataPanel != null)
{
data = _dataPanel.GetStringFromData(_dataPanel.Training);
if (data == null)
{
tw.WriteLine("-");
}
else
{
tw.WriteLine(data);
}
}
else
{
tw.WriteLine("-");
}
}
if (model < 8)
{
//Line3: Teting DATA
tw.WriteLine("!line 3 Testing Data");
if (_dataPanel != null)
{
data = _dataPanel.GetStringFromData(_dataPanel.Testing);
if (data == null)
{
tw.WriteLine("-");
}
else
{
tw.WriteLine(data);
}
}
else
{
tw.WriteLine("-");
}
}
if (model < 8)
{
//Line4: Series DATA
tw.WriteLine("!line 4 TimeSeries Data");
if (_dataPanel != null)
{
data = _dataPanel.GetStringFromData(_dataPanel.TimeSeries);
if (data == null)
{
tw.WriteLine("-");
}
else
{
tw.WriteLine(data);
}
}
else
{
tw.WriteLine("-");
}
}
if (model >= 8)
{
//Line4: Series DATA
tw.WriteLine("!line 4 Experimental Data");
if (_experimentPanel != null)
{
data = _experimentPanel.ExperimentToString();
if (data == null)
{
tw.WriteLine("-");
}
else
{
tw.WriteLine(data);
}
}
else
{
tw.WriteLine("-");
}
tw.WriteLine("!line 3 Training Data");
tw.WriteLine("-");
tw.WriteLine("!line 4 Testing Data");
tw.WriteLine("-");
}
//Line 5: GP Parameters
tw.WriteLine("!line 5: GP Parameters are sorted in the following order");
tw.WriteLine("!popSIze;Fitness;Initialization;InitDepth;OperationDept;Elitism;Sel Method;Param1;Param2;Const_From;COnst_To;Con_COut;CrossOverProb;MutatProb;SeleProb;PermutationProb;EncaptulationProb;EnableEditing;EnableDecimation");
data = _setPanel != null?_setPanel.ParametersToString() : _setANNPanel.ParametersToString();
if (data == null)
{
tw.WriteLine("-");
}
else
{
tw.WriteLine(data);
}
//Line 6: GP Functions
tw.WriteLine("!line 6:- Selected Function");
data = _funPanel == null?null: _funPanel.GetFunctionState();
if (data == null)
{
tw.WriteLine("-");
}
else
{
tw.WriteLine(data);
}
//Line 7: GP type of Running program
tw.WriteLine("!line 7 Type of Running program 0- means generation number, 1 - fitness value ;");
tw.WriteLine("! e.g. 1;700 - run program until max fitness is greate or equel than 700 ");
tw.WriteLine("! 0;500 - run program for 500 evolutions ");
if (_baseRunPanel != null)//GP module
{
data = _baseRunPanel.GetTypeofRun();
if (data == null)
{
tw.WriteLine("-");
}
else
{
tw.WriteLine(data);
}
}
else if (_runANNPanel != null)//ANN module
{
data = _runANNPanel.GetTypeofRun();
if (data == null)
{
tw.WriteLine("-");
}
else
{
tw.WriteLine(data);
}
}
else
{
tw.WriteLine("-");
}
if (_baseRunPanel != null)
{
//Line 8 to Line8+popSize: Current GP Population
tw.WriteLine("!Line 8 Population: size;bestfitness:bestchromosometree");
GPFactory fac = _mainGPFactory;
var str = PreparePopulationForSave(fac);
if (str != null && str.Length > 0)
{
tw.WriteLine(str[0]);
}
else
{
tw.WriteLine("-");
}
if (str != null && str.Length > 1)
{
tw.WriteLine("!Line represent chromosomes in population");
for (int i = 1; i < str.Length; i++)
{
tw.WriteLine(str[i]);
}
}
else
{
tw.WriteLine("-");
}
}
else if (_runANNPanel != null)//ANN modul
{
tw.WriteLine("!Line 8 AnnFactory: weights");
var fac = _mainANNFactory;
var str = fac.SaveFactory();
tw.WriteLine(str);
tw.WriteLine("-");
}
else
{
tw.WriteLine("!Line 8 Population: size;bestfitness:bestchromosometree");
tw.WriteLine("-");
tw.WriteLine("!Line represent chromosomes in population");
tw.WriteLine("-");
}
//Next Line GA Population if exist
if (_optimizePanel != null)
{
tw.WriteLine("!Line GA Terminals: maximum and minimum values of variables");
string st = PrepareMinMaxValues();
if (st != null)
{
tw.WriteLine(st);
}
else
{
tw.WriteLine("-");
}
tw.WriteLine("!Line GA Population: size; bestfitness: bestchromosometree; typeOfOptimization;");
string[] str = PreparePopulationForSave(_secondFactory);
if (str != null && str.Length > 0)
{
//wnen working with optimization wee need to know is Maximum or Minimum
var s = str[0] /*+ ";"*/ + (_optimizePanel.IsMinimum() ? "1" : "0");
tw.WriteLine(s);
//store function for optimization
tw.WriteLine("!Line GA Function to optimize");
if (_GPModel == GPModelType.SRO)
{
var ch = _secondFactory.BestChromosome() as GPChromosome;
if (ch != null)
{
s = ch.GetExpression().ToString();
}
else
{
s = "-";
}
}
else if (_GPModel == GPModelType.AO)
{
s = _funDefinit.TreeNodeToGPNode().ToString();
}
else
{
throw new Exception("Wrong GPModel type!");
}
//write to file
tw.WriteLine(s);
}
else
{
tw.WriteLine("-");
}
if (str != null && str.Length > 1)
{
tw.WriteLine("!Line represent GA chromosomes in population");
for (int i = 1; i < str.Length; i++)
{
tw.WriteLine(str[i]);
}
}
else
{
tw.WriteLine("-");
}
}
else
{
tw.WriteLine("!Line GA Terminals: maximum and minimum values of variables");
tw.WriteLine("-");
tw.WriteLine("!Line GA Population: size; bestfitness: bestchromosometree; typeOfOptimization; functionToOptimize");
tw.WriteLine("-");
tw.WriteLine("!Line GA Function to optimize");
tw.WriteLine("-");
tw.WriteLine("!Line represent GA chromosomes in population");
tw.WriteLine("-");
}
//RTF Model Info
tw.WriteLine("!Line RTF text represent Model Info");
tw.WriteLine(_infoPanel.InfoText);
// tw.Close();
_isFileDirty = false;
return(true);
}
}
/// <summary>
///
/// </summary>
/// <param name="sender"></param>
/// <param name="e"></param>
void _experimentPanel_DataLoaded(object sender, EventArgs e)
{
//Depending on experimental type of output data (numerical or categorical or boolean)
// prepare the panels for parameters and type of the factory.
if (_GPModel == GPModelType.ANNMODEL)
{
//create facotry based on column data type
if (_experimentPanel.IsCategoricalOutput)
{
this._mainANNFactory = new PSOFactory();
}
else
{
this._mainANNFactory = new BPFactory();
}
//
if (_setANNPanel == null)
{
_setANNPanel = new ANNSettingsPanel();
loadGPPanelInMainWindow(this, _setANNPanel, "Settings");
//lock some parameters based on type of output variable
if (_experimentPanel.Experiment.GetOutputColumnType() == Core.Experiment.ColumnDataType.Binary ||
_experimentPanel.Experiment.GetOutputColumnType() == Core.Experiment.ColumnDataType.Categorical
)
{
_setANNPanel.SetLearnigAlgorithm(1);
}
else
{
_setANNPanel.SetLearnigAlgorithm(0);
}
_setANNPanel.LockLearningAlgoritm();
}
if (_runANNPanel == null)
{
_runANNPanel = new ANNRunPanel();
loadGPPanelInMainWindow(this, _runANNPanel, "Modeling");
}
if (_infoPanel == null)
{
_infoPanel = new InfoPanel();
loadGPPanelInMainWindow(this, _infoPanel, "Info");
}
if (_runANNPanel != null)
{
this._mainANNFactory.ReportIteration += new EvolutionHandler(annFactory_ReportIteration);
_runANNPanel.UpdateChartDataPoint(_experimentPanel.GetOutputValues(), false);
_isFileDirty = true;
}
}
else//Preparing GP for modelling nd prediction
{
//create facotry based on column data type
if (_experimentPanel.IsBinarylOutput || _experimentPanel.IsCategoricalOutput)
{
this._mainGPFactory = new GPFactoryClass();
}
else if (_experimentPanel.GetOutputColumnType() == Core.Experiment.ColumnDataType.Numeric)
{
this._mainGPFactory = new GPFactory();
}
else
{
throw new Exception("Unknown output value type!");
}
if (_funPanel == null)
{
_funPanel = new FunctionPanel();
loadGPPanelInMainWindow(this, _funPanel, "Functions");
}
if (_setPanel == null)
{
_setPanel = new SettingsPanel();
loadGPPanelInMainWindow(this, _setPanel, "Settings");
}
//set problem type
_setPanel.SetParamForClassification(_experimentPanel.GetOutputColumnType());
if (_runPanel == null)
{
_runPanel = new RunPanel();
loadGPPanelInMainWindow(this, _runPanel, "Run");
}
if (_resultPanel == null)
{
_resultPanel = new ResultPanel();
loadGPPanelInMainWindow(this, _resultPanel, "Result");
}
if (_infoPanel == null)
{
_infoPanel = new InfoPanel();
loadGPPanelInMainWindow(this, _infoPanel, "Info");
}
//set base run panel on _runPAnel
_baseRunPanel = _runPanel;
if (_runPanel != null)
{
this._mainGPFactory.ReportEvolution += new EvolutionHandler(gpFactory_ReportEvolution);
_runPanel.ResetSolution();
_runPanel.UpdateChartDataPoint(_experimentPanel.GetOutputValues(), false);
_isFileDirty = true;
}
if (_funDefinit != null)
{
_funDefinit.btnFinishAnalFun.Click += btnFinishAnalFun_Click;
}
if (_setPanel != null)
{
_setPanel.ResetSolution += _setPanel_ResetSolution;
}
}
}
/// <summary>
///
/// </summary>
/// <param name="model"></param>
void LoadModelWizard(GPModelType model)
{
_GPModel = model;
switch (_GPModel)
{
case GPModelType.SR:
{
_dataPanel = new DataPanel();
loadGPPanelInMainWindow(this, _dataPanel, "Load Data");
_dataPanel.SetProblemType(_GPModel);
_funPanel = new FunctionPanel();
loadGPPanelInMainWindow(this, _funPanel, "Functions");
_setPanel = new SettingsPanel();
loadGPPanelInMainWindow(this, _setPanel, "Settings");
_runPanel = new RunPanel();
loadGPPanelInMainWindow(this, _runPanel, "Run");
_resultPanel = new ResultPanel();
loadGPPanelInMainWindow(this, _resultPanel, "Result");
_infoPanel = new InfoPanel();
loadGPPanelInMainWindow(this, _infoPanel, "Info");
this._mainGPFactory = new GPFactory();
this._mainGPFactory.ReportEvolution += new EvolutionHandler(gpFactory_ReportEvolution);
//set base run panel on _runPAnel
_baseRunPanel = _runPanel;
}
break;
case GPModelType.SRO:
{
_dataPanel = new DataPanel();
loadGPPanelInMainWindow(this, _dataPanel, "Load Data");
_dataPanel.SetProblemType(_GPModel);
_funPanel = new FunctionPanel();
loadGPPanelInMainWindow(this, _funPanel, "Functions");
_setPanel = new SettingsPanel();
loadGPPanelInMainWindow(this, _setPanel, "Settings");
_runPanel = new RunPanel();
loadGPPanelInMainWindow(this, _runPanel, "Run");
_optimizePanel = new OptimizePanel();
loadGPPanelInMainWindow(this, _optimizePanel, "Optimize Model");
_resultPanel = new ResultPanel();
loadGPPanelInMainWindow(this, _resultPanel, "Result");
_infoPanel = new InfoPanel();
loadGPPanelInMainWindow(this, _infoPanel, "Info");
this._mainGPFactory = new GPFactory();
this._mainGPFactory.ReportEvolution += new EvolutionHandler(gpFactory_ReportEvolution);
this._secondFactory = new GPFactory();
this._secondFactory.ReportEvolution += new EvolutionHandler(gpFactory_ReportEvolution);
//set base run panel on _runPAnel
_baseRunPanel = _runPanel;
}
break;
case GPModelType.TS:
{
_dataPanel = new DataPanel();
loadGPPanelInMainWindow(this, _dataPanel, "Load Data");
_dataPanel.SetProblemType(_GPModel);
_funPanel = new FunctionPanel();
loadGPPanelInMainWindow(this, _funPanel, "Functions");
_setPanel = new SettingsPanel();
loadGPPanelInMainWindow(this, _setPanel, "Settings");
_setPanel.SetNumOfConstance(0);
_runPanel = new RunPanel();
loadGPPanelInMainWindow(this, _runPanel, "Run");
_resultPanel = new ResultPanel();
loadGPPanelInMainWindow(this, _resultPanel, "Result");
_infoPanel = new InfoPanel();
loadGPPanelInMainWindow(this, _infoPanel, "Info");
this._mainGPFactory = new GPFactory();
this._mainGPFactory.ReportEvolution += new EvolutionHandler(gpFactory_ReportEvolution);
//set base run panel on _runPAnel
_baseRunPanel = _runPanel;
}
break;
case GPModelType.AO:
{
_funDefinit = new AnaliticFunctionDef();
loadGPPanelInMainWindow(this, _funDefinit, "Analytic function");
_funPanel = new FunctionPanel();
loadGPPanelInMainWindow(this, _funPanel, "Functions");
_setPanel = new SettingsPanel();
loadGPPanelInMainWindow(this, _setPanel, "Settings");
_setPanel.ShowGAParams();
_optimizePanel = new OptimizePanel();
loadGPPanelInMainWindow(this, _optimizePanel, "Optimize Model");
//initi pages after creation
//
_funDefinit.LoadFuns(_funPanel.GPFunctions);
tabControl1.TabPages.RemoveAt(1);
this._secondFactory = new GPFactory();
this._secondFactory.ReportEvolution += new EvolutionHandler(gpFactory_ReportEvolution);
//set base run panel on _optimizePanel
_baseRunPanel = _optimizePanel;
}
break;
case GPModelType.TSP:
{
_dataPanel = new DataPanel();
loadGPPanelInMainWindow(this, _dataPanel, "Load Data");
_dataPanel.SetProblemType(_GPModel);
_setPanel = new SettingsPanel();
loadGPPanelInMainWindow(this, _setPanel, "Settings");
_setPanel.ShowGAParams();
var p = _setPanel.GetParameters();
p.popSize = 2500;
p.eselectionMethod = GPSelectionMethod.SkrgicSelection;
p.SelParam1 = 2.5f;
_setPanel.SetParameters(p);
_tspPanel = new TSPRunPanel();
loadGPPanelInMainWindow(this, _tspPanel, "Simulation");
this._mainGPFactory = new GPFactory();
this._mainGPFactory.ReportEvolution += new EvolutionHandler(gpFactory_ReportEvolution);
_infoPanel = new InfoPanel();
loadGPPanelInMainWindow(this, _infoPanel, "Info");
//set base run panel on _TSPPanel
_baseRunPanel = _tspPanel;
}
break;
case GPModelType.AP:
{
_dataPanel = new DataPanel();
loadGPPanelInMainWindow(this, _dataPanel, "Load Data");
_dataPanel.SetProblemType(_GPModel);
_setPanel = new SettingsPanel();
loadGPPanelInMainWindow(this, _setPanel, "Settings");
_setPanel.ShowGAParams();
var p = _setPanel.GetParameters();
p.popSize = 2500;
p.eselectionMethod = GPSelectionMethod.SkrgicSelection;
p.SelParam1 = 2.5f;
_setPanel.SetParameters(p);
_alocPanel = new ALOCRunPanel();
loadGPPanelInMainWindow(this, _alocPanel, "Simulation");
this._mainGPFactory = new GPFactory();
this._mainGPFactory.ReportEvolution += new EvolutionHandler(gpFactory_ReportEvolution);
_infoPanel = new InfoPanel();
loadGPPanelInMainWindow(this, _infoPanel, "Info");
//set base run panel on _TSPPanel
_baseRunPanel = _alocPanel;
}
break;
case GPModelType.TP:
{
_dataPanel = new DataPanel();
loadGPPanelInMainWindow(this, _dataPanel, "Load Data");
_dataPanel.SetProblemType(_GPModel);
_setPanel = new SettingsPanel();
loadGPPanelInMainWindow(this, _setPanel, "Settings");
_setPanel.ShowGAParams();
var p = _setPanel.GetParameters();
p.popSize = 2500;
p.eselectionMethod = GPSelectionMethod.SkrgicSelection;
p.SelParam1 = 2.5f;
_setPanel.SetParameters(p);
_alocPanel = new ALOCRunPanel();
loadGPPanelInMainWindow(this, _alocPanel, "Simulation");
this._mainGPFactory = new GPFactory();
this._mainGPFactory.ReportEvolution += new EvolutionHandler(gpFactory_ReportEvolution);
_infoPanel = new InfoPanel();
loadGPPanelInMainWindow(this, _infoPanel, "Info");
//set base run panel on _TSPPanel
_baseRunPanel = _alocPanel;
}
break;
case GPModelType.ANNMODEL:
case GPModelType.GPMODEL:
{
_experimentPanel = new ExperimentPanel();
loadGPPanelInMainWindow(this, _experimentPanel, "Load Experiment");
_experimentPanel.SetProblemType(_GPModel);
//factory creating moved on place when the experimental data is created and prepared
//this._mainANNFactory = new ANNFactory();
//this._mainANNFactory.ReportIteration += new EvolutionHandler(annFactory_ReportIteration);
}
break;
default:
break;
}
//Events from datapanel about loading dat
if (_dataPanel != null)
{
_dataPanel.DataLoaded += _dataPanel_DataLoaded;
}
if (_dataPanel != null)
{
_dataPanel.DataPredictionLoaded += _dataPanel_DataPredictionLoaded;
}
//Events from experiment panel about loading dat
if (_experimentPanel != null)
{
_experimentPanel.DataLoaded += _experimentPanel_DataLoaded;
}
if (_experimentPanel != null)
{
_experimentPanel.DataPredictionLoaded += _experimentalPanel_DataPredictionLoaded;
}
if (_funDefinit != null)
{
_funDefinit.btnFinishAnalFun.Click += btnFinishAnalFun_Click;
}
if (_setPanel != null)
{
_setPanel.ResetSolution += _setPanel_ResetSolution;
}
}
