public async Task OnIterationAsync(int iterations)
{
using (_profiler.Step(nameof(OnIterationAsync)))
{
var lastPopulationKey = _populationHistory.Max(x => x.Key);
var newPopulationHistory = EvolutionService.RunIterations(iterations: iterations,
maxDiffBetweenNode: _maxDiffBetweenNode,
population: _populationHistory[lastPopulationKey],
matrix: _matrix);
var bestChromosomeFromHistory = _populationHistory.Select(x => x.Value.BestChromosome)
.OrderBy(x => x.FactorsSum)
.FirstOrDefault()
.DeepCopy();
foreach (var populationHistory in newPopulationHistory)
{
_populationHistory.Add(populationHistory.Iteration, populationHistory);
}
for (int populationKey = lastPopulationKey + 1; populationKey < _populationHistory.Max(x => x.Key); populationKey++)
{
bestChromosomeFromHistory = bestChromosomeFromHistory.FactorsSum < _populationHistory[populationKey].BestChromosome.FactorsSum ?
bestChromosomeFromHistory.DeepCopy() : _populationHistory[populationKey].BestChromosome.DeepCopy();
_bestChromosomeChartData.Add(CanvasJsChartService.MapToDataPoint(bestChromosomeFromHistory.FactorsSum, _populationHistory[populationKey].Iteration));
var dataPoints = CanvasJsChartService.MapPopulationToDataPoints(_populationHistory[populationKey]);
_evolutionChartData = CanvasJsChartService.AddToDataPoints(_evolutionChartData, dataPoints);
}
_paretoChartData = ParetoService.GetParetoFrontier(_populationHistory).ToList();
_paretoConfig.Data = CanvasJsChartService.GetParetoChartData(_paretoChartData);
_evolutionConfig.Data = CanvasJsChartService.GetEvolutionChartData(_evolutionChartData, _bestChromosomeChartData);
_graphData = GraphChartService.GraphDataFromChromosome(bestChromosomeFromHistory, _matrix);
_graphOptions = GraphChartService.GetBestChromosomeGraphOptions();
await Task.Run(() => { _graphChart.RenderAsync(_graphData, _graphOptions); });
await Task.Run(() => { _evolutionChart.RenderAsync(_evolutionConfig); });
await Task.Run(() => { _paretoChart.RenderAsync(_paretoConfig); });
}
Console.WriteLine(_profiler.RenderPlainText());
GC.Collect();
}
public async Task StartAsync()
{
_paretoChartData = new List <ICanvasJSDataPoint>();
_bestChromosomeChartData = new List <ICanvasJSDataPoint>();
_evolutionChartData = new Dictionary <ChromosomeFactor, List <ICanvasJSDataPoint> >();
_evolutionConfig = CanvasJsChartService.GetBasicOptionsForEvolutionChart();
_paretoConfig = CanvasJsChartService.GetBasicOptionsForParetoChart();
_matrix = MatrixService.GenerateMatrix(nodeCount: _nodeCount, probability: _edgeProbability);
var startPopulation = PopulationService.Initialize(_matrix, populationSize: _populationSize,
maxDiffBetweenNode: _maxDiffBetweenNode);
_populationHistory = new Dictionary <int, IPopulationResult> {
[0] = startPopulation
};
_graphData = GraphChartService.GraphDataFromMatrix(_matrix);
_graphOptions = GraphChartService.GetDefaultGraphOptions();
var sampleDictionary = new Dictionary <ChromosomeFactor, List <ICanvasJSDataPoint> >
{
[ChromosomeFactor.ConnectedEdgeWeigthSum] = new List <ICanvasJSDataPoint>
{
new CanvasJSDataPoint {
X = 0, Y = 0
},
},
[ChromosomeFactor.EdgeCount] = new List <ICanvasJSDataPoint>
{
new CanvasJSDataPoint {
X = 0, Y = 0
},
},
[ChromosomeFactor.ConnectedEdgeWeigthSum | ChromosomeFactor.EdgeCount] = new List <ICanvasJSDataPoint>
{
new CanvasJSDataPoint {
X = 0, Y = 0
},
}
};
var sampleBest = new List <ICanvasJSDataPoint> {
new CanvasJSDataPoint {
X = 0, Y = 0
}
};
_evolutionConfig.Data = CanvasJsChartService.GetEvolutionChartData(sampleDictionary, sampleBest);
_paretoConfig.Data = CanvasJsChartService.GetParetoChartData(new List <ICanvasJSDataPoint>
{
new CanvasJSDataPoint {
X = 0, Y = 0
},
});
await Task.Run(() => { _graphChart.RenderAsync(_graphData, _graphOptions); });
await Task.Run(() => { _evolutionChart.RenderAsync(_evolutionConfig); });
await Task.Run(() => { _paretoChart.RenderAsync(_paretoConfig); });
}
