static void OnNewPopulation_ShowParents(object o, NewPopulationEventArgs e)
{
//
// 00101110
// + 10100010
// ----^---
// = 00100010
//
foreach (Chromosome c in e.NewPopulation.Chromosomes)
{
Console.WriteLine(" {0}", c.Parents[0]);
Console.WriteLine("+ {0}", c.Parents[1]);
Console.Write(" ");
for (int i = 0; i < c.CrossoverPoint; i++)
{
Console.Write("--");
}
Console.Write("^-");
for (int i = c.CrossoverPoint + 1; i < c.Genes.Length; i++)
{
Console.Write("--");
}
Console.WriteLine();
Console.WriteLine("= {0}", c);
Console.WriteLine();
}
}
//
// Handler for the "NewPopulation" event that is raised by the GA
// component each time a new population has been evaluated. We take
// the opportunity to print out some of the summary data for the
// just-evaluated generation.
//
static void OnNewPopulation_ShowSummary(object o, NewPopulationEventArgs e)
{
Population oldPopulation = e.OldPopulation; // the just-evaluated population
Console.WriteLine("Generation: {0}", e.Generation);
Console.WriteLine(" Highest Objective: {0}", oldPopulation.Summary.HighestObjective);
Console.WriteLine(" Lowest Objective : {0}", oldPopulation.Summary.LowestObjective);
Console.WriteLine(" Best Individual : {0}", oldPopulation.Summary.BestChromosome);
}
static void OnNewPopulation(object o, NewPopulationEventArgs e)
{
Chromosome c = e.OldPopulation.Summary.BestChromosome;
Console.WriteLine("Best of Generation: {0}", e.OldPopulation.Summary.BestChromosome);
Console.WriteLine(" cost = {0}", Objective.GetCost(c));
Console.WriteLine(" value = {0}", Objective.GetValue(c));
Console.WriteLine(" objective = {0}", c.RawObjective);
}
//
// Handler for the "NewPopulation" event that is raised by the GA
// component each time a new population has been evaluated. We take
// the opportunity to print out information about the best chromosome
// in the just-evaluated generation.
//
static void OnNewPopulation_ShowSummary(object o, NewPopulationEventArgs e)
{
Chromosome bestChromosome = e.OldPopulation.Summary.BestChromosome;
Console.WriteLine("{0}: {1} ({2})",
e.Generation,
bestChromosome,
bestChromosome.RawObjective
);
}
static void OnNewPopulation(object o, NewPopulationEventArgs e)
{
Console.WriteLine();
for (int i = 0; i < e.NewPopulation.PopulationSize; i++)
{
Console.WriteLine(
"{0,2}) {1} {2,2}) {3}",
e.OldPopulation.Chromosomes[i].ID,
e.OldPopulation.Chromosomes[i],
e.NewPopulation.Chromosomes[i].ID,
e.NewPopulation.Chromosomes[i]
);
}
}
void OnNewPopulation(object o, NewPopulationEventArgs e)
{
//System.Threading.Monitor.Enter(this);
currentPopulationSummary = e.OldPopulation.Summary;
//System.Threading.Monitor.Exit(this);
axMSChart1.RowCount++;
axMSChart1.DataGrid.SetData(
++generation,
1,
currentPopulationSummary.BestChromosome.RawObjective,
0
);
graphPanel.Invalidate();
}
static void OnNewPopulation(object o, NewPopulationEventArgs e)
{
//Console.WriteLine("Gen {0}: {1}", gen++, e.OldPopulation.Summary.BestChromosome);
Console.WriteLine(e.OldPopulation.Summary);
}
static void OnNewPopulation_ShowSummary(object o, NewPopulationEventArgs e)
{
Console.WriteLine(e.OldPopulation.Summary.ToString());
}
