private void btnSearchStart_Click(object sender, EventArgs e)
{
if(null != _ea)
{ // Resume existing EA & update GUI state.
_ea.StartContinue();
UpdateGuiState();
return;
}
// Initialise and start a new evolution algorithm.
ReadAndUpdateExperimentParams();
// Check number of species is <= the number of the genomes.
if(_genomeList.Count < _selectedExperiment.NeatEvolutionAlgorithmParameters.SpecieCount) {
__log.ErrorFormat("Genome count must be >= specie count. Genomes=[{0}] Species=[{1}]",
_selectedExperiment.NeatEvolutionAlgorithmParameters.SpecieCount, _genomeList.Count);
return;
}
// Create evolution algorithm.
_ea = _selectedExperiment.CreateEvolutionAlgorithm(_genomeFactory, _genomeList);
// Attach update event listener.
_ea.UpdateEvent += new EventHandler(_ea_UpdateEvent);
_ea.PausedEvent += new EventHandler(_ea_PausedEvent);
// Notify any open views.
if(null != _bestGenomeForm) { _bestGenomeForm.Reconnect(_ea); }
if(null != _domainForm) { _domainForm.Reconnect(_ea); }
foreach(TimeSeriesGraphForm graphForm in _timeSeriesGraphFormList) {
graphForm.Reconnect(_ea);
}
foreach(SummaryGraphForm graphForm in _summaryGraphFormList) {
graphForm.Reconnect(_ea);
}
// Create/open log file if the option is selected.
if(chkFileWriteLog.Checked && null==_logFileWriter)
{
// BEGIN JONATHAN MERLEVEDE CHANGE
string filename = txtFileLogBaseName.Text + '_' + DateTime.Now.ToString("yyyyMMdd") + ".csv";
// END JONATHAN MERLEVEDE CHANGE
_logFileWriter = new StreamWriter(filename, true);
_logFileWriter.WriteLine("ClockTime,Gen,BestFitness,MeanFitness,MeanSpecieChampFitness,ChampComplexity,MeanComplexity,MaxComplexity,TotalEvaluationCount,EvaluationsPerSec,SearchMode");
// BEGIN JONATHAN MERLEVEDE ADDED THIS
_neatSimLogger = new NeatSimLogger(txtFileLogBaseName.Text + '_' + DateTime.Now.ToString("yyyyMMdd"));
// END JONATHAN MERLEVEDE ADDED THIS
}
// Start the algorithm & update GUI state.
_ea.StartContinue();
UpdateGuiState();
}
static void Main(string[] args)
{
// This program expects certain command line options, that are defined as annotated properties in the NeatSimConsole.Options class
// We instantiate this class...
_options = new Options();
// ... and pass the arguments to this program to the options parser, who uses it to set the properties in 'options'.
// If the command line options are incorrect, ParseArgumentsStrict prints a help message to the screen and exits...
if (!CommandLine.Parser.Default.ParseArgumentsStrict(args, _options))
{
// ... therefore, this should really never ever happen.
throw new SystemException("Something went wrong parsing arguments.");
}
// Now, all the properties in 'options' are set.
FastRandom.__seedRng = new FastRandom(_options.Seed);
// Initialise log4net (log to console).
// XmlConfigurator.Configure(new FileInfo("log4net.properties"));
// We instatiate a remote batch simulation experiment, and use the properties set in the XML file to initialize the experiment.
// The XML file contains properties like the number of generations to run the program for, and the number of individuals in the population.
// For properties that are not set in the XML file, we initialize default values.
_experiment = new RemoteBatchSimExperiment();
var xmlConfig = new XmlDocument();
try
{
xmlConfig.Load("neatsim.config.xml");
}
catch (FileNotFoundException e)
{
Console.WriteLine(@"Could not find neatsim.config.xml. Aborting.");
return;
}
_experiment.Initialize("NeatSim", xmlConfig.DocumentElement);
// The XML file cannot contain information about the inital number of connected neurons.
// We want to initialize our population minimally, and do this by setting an absurdly small initial connections proportion.
// The number of connected input neurons will always be at least one.
// Note that there is an absurdly small chance that more than a single neuron will be connected in generation one.
_experiment.NeatGenomeParameters.InitialInterconnectionsProportion = 0.0000000000001;
// Create a genome factory with our neat genome parameters object and the appropriate number of input and output neuron genes.
_genomeFactory = _experiment.CreateGenomeFactory();
// Create an initial population of randomly generated genomes ('born' in generation 0).
_genomeList = _genomeFactory.CreateGenomeList(_options.PopulationSize, 0);
// Create evolution algorithm and attach update events.
_ea = _experiment.CreateEvolutionAlgorithm(_genomeFactory, _genomeList);
_ea.PausedEvent += (s, e) => Console.WriteLine(_ea.RunState == RunState.Paused
? @"Program is paused"
: _ea.RunState == RunState.Running
? @"Program is unpaused."
: @"Program is in unknown state...");
_neatSimLogger = new NeatSimLogger(_options.LogFileName + '_' + DateTime.Now.ToString("yyyyMMdd"));
//
var nextGeneration = _ea.CurrentGeneration;
var doneEvent = new AutoResetEvent(false);
_ea.UpdateEvent += (s, e) =>
{
if (_ea.CurrentGeneration < nextGeneration)
{
Console.WriteLine("Aborting!");
return;
}
Console.WriteLine(string.Format("gen={0:N0} bestFitness={1:N6}", _ea.CurrentGeneration, _ea.Statistics._maxFitness));
SaveChampionGenome();
_neatSimLogger.Log(_ea);
if (_ea.CurrentGeneration >= _options.Generations)
{
_ea.Stop();
_neatSimLogger.Close();
doneEvent.Set();
}
nextGeneration++;
};
// Start algorithm (it will run on a background thread).
_ea.StartContinue();
// Hit return to quit.
//Console.ReadLine();
doneEvent.WaitOne();
}
