/// <summary>
/// Converts from the specified value to the intended conversion type of the converter.
/// </summary>
/// <param name="context">An object that provides a format context.</param>
/// <param name="culture">The <see cref="T:System.Globalization.CultureInfo" /> to use as the current culture.</param>
/// <param name="value">The value to convert to the type of this converter.</param>
/// <returns>
/// The converted value.
/// </returns>
public override object ConvertFrom(ITypeDescriptorContext context, System.Globalization.CultureInfo culture, object value)
{
List <string> result = ((string)value).Split(',').ToList();
for (int j = 0; j < result.Count; j++)
{
var point = result[j];
if (string.IsNullOrEmpty(point))
{
result[j] = "0";
}
}
if (result.Count % 2 != 0)
{
result.Add("0");
}
PointsCollection collection = new PointsCollection();
for (int i = 0; i < result.Count; i += 2)
{
collection.Add(new ChartPoint()
{
XValue = double.Parse(result[i].ToString(CultureInfo.InvariantCulture)), YValue = double.Parse(result[i + 1].ToString(CultureInfo.InvariantCulture))
});
}
return(collection);
}
/// <summary>
/// Gets the points from values.
/// </summary>
/// <param name="xValues">The x values.</param>
/// <param name="yValues">The y values.</param>
/// <returns></returns>
protected PointsCollection GetPointsFromValues(List <double> xValues, List <double> yValues)
{
PointsCollection tempPoints = new PointsCollection();
for (int i = 0; (i < xValues.Count && i < yValues.Count); i++)
{
ChartPoint point = new ChartPoint()
{
XValue = xValues[i], YValue = yValues[i]
};
tempPoints.Add(point);
}
return(tempPoints);
}
public void SetData(short[] data)
{
PointsCollection = new PointsCollection();
for (int i = 0; i < data.Length; i++)
{
PointsCollection.Add(new DoublePoint()
{
Data = i, Value = data[i]
});
}
((LineSeries)(Chart.Series[0])).Points = PointsCollection;
}
/// <summary>
/// Converts from the specified value to the intended conversion type of the converter.
/// </summary>
/// <param name="context">An object that provides a format context.</param>
/// <param name="culture">The <see cref="T:System.Globalization.CultureInfo" /> to use as the current culture.</param>
/// <param name="value">The value to convert to the type of this converter.</param>
/// <returns>
/// The converted value.
/// </returns>
public override object ConvertFrom(ITypeDescriptorContext context,System.Globalization.CultureInfo culture, object value)
{
List<string> result = ((string)value).Split(',').ToList();
for (int j=0;j<result.Count;j++)
{
var point = result[j];
if (string.IsNullOrEmpty(point))
result[j] = "0";
}
if (result.Count % 2 != 0)
result.Add("0");
PointsCollection collection = new PointsCollection();
for (int i = 0; i < result.Count; i += 2)
{
collection.Add(new ChartPoint() { XValue = double.Parse(result[i].ToString(CultureInfo.InvariantCulture)), YValue = double.Parse(result[i + 1].ToString(CultureInfo.InvariantCulture)) });
}
return collection;
}
public GeneticAlgorithmParametersViewModel()
{
_geneticAlgorithm = new CubeGraphGeneticAlgorithm(Graph.FromFile(@"..\..\GraphData.txt"));
_startGeneticAlgorithmCommand = new Command <object>((mockParams) =>
{
new Task(() =>
{
_geneticAlgorithm.Execute(_geneticParameters, (progress) => ProgressValue = progress);
var averageFitness = new PointsCollection();
var maxFitness = new PointsCollection();
var minFitness = new PointsCollection();
var maxPoints = _geneticAlgorithm.History.Select((historyItem) => new DoublePoint()
{
Data = historyItem.Generation, Value = historyItem.BestOrganismFitness
});
foreach (var point in maxPoints)
{
maxFitness.Add(point);
}
var minPoints = _geneticAlgorithm.History.Select((historyItem) => new DoublePoint()
{
Data = historyItem.Generation, Value = historyItem.WorstOrganismFitness
});
foreach (var point in minPoints)
{
minFitness.Add(point);
}
var averagePoints = _geneticAlgorithm.History.Select((historyItem) => new DoublePoint()
{
Data = historyItem.Generation, Value = historyItem.AverageOrganismFitness
});
foreach (var point in averagePoints)
{
averageFitness.Add(point);
}
AverageFitness = averageFitness;
MinFitness = minFitness;
MaxFitness = maxFitness;
NotifyPropertyChanged(() => MaxGridValue);
}).Start();
});
}
public PointsCollection Generate()
{
PointsCollection collection = new PointsCollection();
DateTime date = new DateTime(2009, 1, 1);
double value = 1000;
for (int i = 0; i < this.DataCount; i++)
{
collection.Add(new DoublePoint() { Data = i, Value = value });
if (randomNumber.NextDouble() > .5)
{
value += randomNumber.NextDouble();
}
else
{
value -= randomNumber.NextDouble();
}
}
return collection;
}
public void InitializeChart(int[] values)
{
chart.YAxis.MaxValue = values.Max() + (values.Max() * 0.05);
chart.XAxis.MaxValue = values.Length;
chart.XAxis.MinorTicksCount = values.Length / 8;
SeriesCollection series = new SeriesCollection()
{
new ColumnSeries()
};
var points = new PointsCollection();
for (int i = 0; i < values.Length; i++)
{
points.Add(new DoublePoint()
{
Data = i,
Value = values[i]
});
}
series[0].Points = points;
chart.Series = series;
}
public PointsCollection Generate()
{
PointsCollection collection = new PointsCollection();
DateTime date = new DateTime(2009, 1, 1);
double value = 1000;
for (int i = 0; i < this.DataCount; i++)
{
collection.Add(new DoublePoint()
{
Data = i, Value = value
});
if (randomNumber.NextDouble() > .5)
{
value += randomNumber.NextDouble();
}
else
{
value -= randomNumber.NextDouble();
}
}
return(collection);
}
public void AddPoint(Point point)
{
PointsCollection.Add(point);
}
protected PointsCollection GetPointsFromValues(List<double> xValues,List<double> yValues)
{
PointsCollection tempPoints = new PointsCollection();
for (int i = 0; (i < xValues.Count && i < yValues.Count); i++)
{
ChartPoint point = new ChartPoint() { XValue = xValues[i], YValue = yValues[i] };
tempPoints.Add(point);
}
return tempPoints;
}