private void btnSearchStart_Click(object sender, EventArgs e)
{
if (_eaRunner is not null)
{ // Resume existing EA & update GUI state.
_eaRunner.StartOrResume();
UpdateUIState();
return;
}
// Get the current neat experiment, with parameters set from the UI.
INeatExperiment <double> neatExperiment = GetNeatExperiment();
// Create evolution algorithm and runner.
NeatEvolutionAlgorithm <double> ea = NeatUtils.CreateNeatEvolutionAlgorithm(neatExperiment, _neatPop);
ea.Initialise();
_eaRunner = new EvolutionAlgorithmRunner(ea, UpdateScheme.CreateTimeSpanUpdateScheme(TimeSpan.FromSeconds(1)));
// Attach event listeners.
_eaRunner.UpdateEvent += _eaRunner_UpdateEvent;
// Start the algorithm & update GUI state.
_eaRunner.StartOrResume();
UpdateUIState();
}
/// <summary>
/// Initializes the evolution algorithm with the provided IGenomeListEvaluator
/// and an IGenomeFactory that can be used to create an initial population of genomes.
/// </summary>
/// <param name="genomeListEvaluator">The genome evaluation scheme for the evolution algorithm.</param>
/// <param name="genomeFactory">The factory that was used to create the genomeList and which is therefore referenced by the genomes.</param>
/// <param name="populationSize">The number of genomes to create for the initial population.</param>
public virtual void Initialize(IGenomeListEvaluator <TGenome> genomeListEvaluator,
IGenomeFactory <TGenome> genomeFactory,
int populationSize)
{
_currentGeneration = 0;
_genomeListEvaluator = genomeListEvaluator;
_genomeFactory = genomeFactory;
_genomeList = genomeFactory.CreateGenomeList(populationSize, _currentGeneration);
_populationSize = populationSize;
_runState = RunState.Ready;
_updateScheme = new UpdateScheme(new TimeSpan(0, 0, 1));
}
/// <summary>
/// Initializes the evolution algorithm with the provided IGenomeListEvaluator, IGenomeFactory
/// and an initial population of genomes.
/// </summary>
/// <param name="genomeListEvaluator">The genome evaluation scheme for the evolution algorithm.</param>
/// <param name="genomeFactory">The factory that was used to create the genomeList and which is therefore referenced by the genomes.</param>
/// <param name="genomeList">An initial genome population.</param>
public virtual void Initialize(IGenomeListEvaluator <TGenome> genomeListEvaluator,
IGenomeFactory <TGenome> genomeFactory,
List <TGenome> genomeList)
{
_currentGeneration = 0;
_genomeListEvaluator = genomeListEvaluator;
_genomeFactory = genomeFactory;
_genomeList = genomeList;
_populationSize = _genomeList.Count;
_runState = RunState.Ready;
_updateScheme = new UpdateScheme(new TimeSpan(0, 0, 1));
}
private void Initialize_private(IGenomeListEvaluator <TGenome> genomeListEvaluator, IGenomeFactory <TGenome> genomeFactory, List <TGenome> genomeList)
{
_prevUpdateGeneration = 0;
_prevUpdateTimeTick = DateTime.UtcNow.Ticks;
_currentGeneration = 0;
_genomeListEvaluator = genomeListEvaluator;
_genomeFactory = genomeFactory;
_genomeList = genomeList;
_populationSize = _genomeList.Count;
_runState = RunState.Ready;
_updateScheme = new UpdateScheme(new TimeSpan(0, 0, 1));
}
/// <summary>
/// Initializes the evolution algorithm with the provided IGenomeListEvaluator
/// and an IGenomeFactory that can be used to create an initial population of genomes.
/// </summary>
/// <param name="genomeListEvaluator">The genome evaluation scheme for
/// the evolution algorithm.</param>
/// <param name="genomeFactory">The factory that was used to create the
/// genomeList and which is therefore referenced by the genomes.</param>
/// <param name="populationSize">The number of genomes to create for the
/// initial population.</param>
public virtual void Initialize(IGenomeListEvaluator <TGenome> genomeListEvaluator,
IGenomeFactory <TGenome> genomeFactory,
int populationSize)
{
_currentGeneration = 0;
_genomeListEvaluator = genomeListEvaluator;
_genomeFactory = genomeFactory;
_genomeList = genomeFactory.CreateGenomeList(populationSize, _currentGeneration);
// We set an arbitrary genome as champion to avoid possible null exceptions.
_currentBestGenome = _genomeList[0];
_populationSize = populationSize;
_runState = RunState.Ready;
_updateScheme = new UpdateScheme(new TimeSpan(0, 0, 1));
}
/// <summary>
/// Initializes the evolution algorithm with the provided IGenomeListEvaluator, IGenomeFactory
/// an initial population of genomes and a boolean to update the currentGeneration value.
/// </summary>
/// <param name="genomeListEvaluator">The genome evaluation scheme for the evolution algorithm.</param>
/// <param name="genomeFactory">The factory that was used to create the genomeList and which is therefore referenced by the genomes.</param>
/// <param name="genomeList">An initial genome population.</param>
/// <param name="addGenerationValue">boolean to trigger currentGeneration value from last genome in list</param>
public virtual void Initialize(IGenomeListEvaluator <TGenome> genomeListEvaluator,
IGenomeFactory <TGenome> genomeFactory,
List <TGenome> genomeList,
bool addGenerationValue)
{
_currentGeneration = 0;
if (genomeList.Count > 0)
{
int LastIndex = genomeList.Count - 1;
_currentGeneration = genomeList.Min <TGenome, uint>(genome => genome.BirthGeneration);
}
_genomeListEvaluator = genomeListEvaluator;
_genomeFactory = genomeFactory;
_genomeList = genomeList;
_populationSize = _genomeList.Count;
_runState = RunState.Ready;
_updateScheme = new UpdateScheme(new TimeSpan(0, 0, 1));
}
