private void Gs_IterationCompleted(object sender, IterationCompletedEventArgs e)
{
AddPointsToChart(e.IterationCount, e.BestChromosome.Fitness, e.AverageFitness);
Decode(e.BestChromosome);
PopulationChart.Refresh();
Application.DoEvents();
}
private void Gs_IterationCompleted(object sender, IterationCompletedEventArgs e)
{
BestSolution = e.BestChromosome;
AddPointsToChart(e.IterationCount, BestSolution.Fitness, e.AverageFitness);
label1.Text = $"Total Length : {(int)CalculateFitness_TSPProblem(BestSolution)}";
map.Refresh();
PopulationChart.Refresh();
Application.DoEvents();
}
private void Gs_IterationCompleted(object sender, IterationCompletedEventArgs e)
{
resultlist.Items.Add("= Iteration Completed =========");
int val1 = (int)e.BestChromosome.Data[0];
int val2 = (int)e.BestChromosome.Data[1];
int val3 = (int)e.BestChromosome.Data[2];
int val4 = (int)e.BestChromosome.Data[3];
int val5 = (int)e.BestChromosome.Data[4];
int val6 = (int)e.BestChromosome.Data[5];
int val7 = (int)e.BestChromosome.Data[6];
int val8 = (int)e.BestChromosome.Data[7];
int val9 = (int)e.BestChromosome.Data[8];
int val10 = (int)e.BestChromosome.Data[9];
resultlist.Items.Add($"{val1} + {val2} + {val3} + {val4} + {val5} = {val1 + val2 + val3 + val4 + val5}");
resultlist.Items.Add($"{val6} * {val7} * {val8} * {val9} * {val10} = {val6 * val7 * val8 * val9 * val10}");
AddPointsToChart(e.IterationCount, e.BestChromosome.Fitness, e.AverageFitness);
PopulationChart.Refresh();
Application.DoEvents();
}
