private bool Xsort()
{
InDataPoint tmpx1 = new InDataPoint();
InDataPoint tmpx2 = new InDataPoint();
if (DataPoint.Count <= 2)
{
return(false);
}
for (int i = 0; i < DataPoint.Count; i++)
{
tmpx1 = DataPoint[i];
for (int j = i; j < DataPoint.Count; j++)
{
tmpx2 = DataPoint[j];
if (tmpx1.X_Value > tmpx2.X_Value)
{
DataPoint[i] = tmpx2;
DataPoint[j] = tmpx1;
tmpx1 = DataPoint[i];
}
}
}
MaxValue = DataPoint[DataPoint.Count - 1];
MinValue = DataPoint[0];
return(true);
}
public MyMathXYData()
{
//X_Count = 0;
//Y_Count = 0;
MaxValue = new InDataPoint();
MinValue = new InDataPoint();
DataPoint = new List <InDataPoint>();
}
/// <summary>
/// X轴线性滤波
/// </summary>
public List <InDataPoint> XLinearFilter(int cnt)
{
if (cnt <= 0)
{
MessageBox.Show("输入参数有误");
return(default(List <InDataPoint>));
}
if (DataPoint.Count == 0)
{
MessageBox.Show("输入数据有误");
return(default(List <InDataPoint>));
}
if (this.Xsort() == false)
{
MessageBox.Show("输入数据有误");
return(default(List <InDataPoint>));
}
List <InDataPoint> tmpdata = new List <InDataPoint>();
InDataPoint tmpx1 = new InDataPoint();
InDataPoint tmpx2 = new InDataPoint();
InDataPoint tmpx3 = MinValue;
double ysub;
double xsub = (double)(MaxValue.X_Value - MinValue.X_Value) / cnt;
tmpdata.Add(MinValue);
for (int i = 0; i < DataPoint.Count - 1;)
{
tmpx1 = DataPoint[i];
do
{
i++;
}while (i < DataPoint.Count - 1 && (DataPoint[i].X_Value - tmpx1.X_Value) < xsub);
tmpx2 = DataPoint[i];
ysub = (double)(tmpx2.Y_Value - tmpx1.Y_Value) * xsub / (tmpx2.X_Value - tmpx1.X_Value);
while (tmpdata[tmpdata.Count - 1].X_Value <= tmpx2.X_Value)
{
tmpdata.Add(new InDataPoint(tmpx3.X_Value + xsub, tmpx3.Y_Value + ysub));
tmpx3 = tmpdata[tmpdata.Count - 1];
}
}
return(tmpdata);
}
private void backgroundWorker1_DoWork(object sender, DoWorkEventArgs e)
{
for (int i = 1; i <= (int)this.运行次数.Value; i++)
{
Thread.Sleep(5);
this.receiveWaiter.WaitOne();
TPSAForeGenetic.bestindividual();
TPSAForeGenetic.clear();
TPSAForeGenetic.generation();
InDataPoint[] tmp = new InDataPoint[(int)this.世代数.Value];
TPSAForeGenetic.Result.DataPoint.CopyTo(tmp);
this.myAGWave1.Data.DataPoint.AddRange(tmp);
this.myAGWave1.MaxX = TPSAForeGenetic.Result.getMaxX() * 1.5;
this.myAGWave1.MaxY = TPSAForeGenetic.Result.getMaxY() * 1.5;
this.backgroundWorker1.ReportProgress(i, 0);
TPSAForeGenetic.updata();
}
}
