public AlgorithmController(AlgorthmParameters parametry)
: this()
{
Schedule prototype = new Schedule(parametry.NumberOfCrossoverPoints, parametry.MutationSize
, parametry.CrossoverProbability, parametry.MutationProbability);
this.replaceByGeneration = parametry.ReplaceByGeneration;
// Obecna liczba genomu najlepszego chromosomu，inicjacja 0
this.currentBestSize = 0;
// Chromosom inicjalizacji
this.prototype = prototype;
// Obecna generacja po pierwsze generacje tabel są obecnie chromosomy
this.currentBestSize = 0;
// stan algorytmu
this.state = AlgorithmState.AS_USER_STOPED;
// Algorytm może mieć co najmniej dwa chromosomy
if (parametry.NumberOfChromosomes < 2)
{
parametry.NumberOfChromosomes = 2;
}
// Śledzenia przynajmniej jedna z najlepszych chromosomie？
if (parametry.TrackBest < 1)
{
parametry.TrackBest = 1;
}
if (this.replaceByGeneration < 1)
{
this.replaceByGeneration = 1;
}
else if (this.replaceByGeneration > parametry.NumberOfChromosomes - parametry.TrackBest)
{
this.replaceByGeneration = parametry.NumberOfChromosomes - parametry.TrackBest;
}
// _chromosomes i _bestFlags są tej samej wielkości, jest jeden do jednego mapowania między nimi
this.chromosomes.Capacity = parametry.NumberOfChromosomes;
for (int i = 0; i < this.chromosomes.Capacity; i++)
{
chromosomes.Add(new Schedule());
}
this.bestFlags.Capacity = parametry.NumberOfChromosomes;
for (int i = 0; i < this.bestFlags.Capacity; i++)
{
this.bestFlags.Add(false);
}
this.bestChromosomes.Capacity = parametry.TrackBest;
for (int i = 0; i < this.bestChromosomes.Capacity; i++)
{
this.bestChromosomes.Add(-1);
}
}
public Harmonogram()
{
InitializeComponent();
backgroundGeneruj = new BackgroundWorker();
BestSchedule = new List <Schedule>();
_best = new Schedule();
InitializeBackgroundWorker();
dateTimePickerFrom.Enabled = false;
dateTimePickerFor.Enabled = false;
buttonStart.Enabled = false;
buttonStop.Enabled = false;
ParametryAlgorytmu = new AlgorthmParameters();
_dtStart = dateTimePickerFrom.Value;
}
public AlgorithmSettingsForm(Harmonogram prelimiarz)
{
InitializeComponent();
_parameters = prelimiarz.ParametryAlgorytmu;
_prelimiarz = prelimiarz;
numericOfChromosomes.Value = _parameters.NumberOfChromosomes;
numericReplace.Value = _parameters.ReplaceByGeneration;
numericTrackBest.Value = _parameters.TrackBest;
numericOfCrossoverPoints.Value = _parameters.NumberOfCrossoverPoints;
numericMutationSize.Value = _parameters.MutationSize;
numericCrossoverProbability.Value = _parameters.CrossoverProbability;
numericMutationProbability.Value = _parameters.MutationProbability;
}
