private void sort_Click(object sender, EventArgs e)
{
//Array.Sort(CurrentPop.ind); // works
//Console.Write(Population.Select(CurrentPop.ind));
Robot_call.Update_bars(CurrentPop.ind[Population.Pop_size - 1 - _individual]._DNA);
Robot_call.Update_pts(CurrentPop.ind[Population.Pop_size - 1 - _individual]._DNA);
Robot_call.Robot_interactive(true);
Robot_call.Refresh();
_individual++;
}
public void Evaluate()
{
Robot_call.Robot_interactive(false);
// Robot_call.Update_pts(this._DNA);
Robot_call.Update_bars(this._DNA);
Robot_call.Addsupports();
// create calculation lists //
Leg_calc_list();
HorizBar_calc_list();
Bracing_calc_list();
/////////////////////////////
this.results = Robot_call.Run_analysis();
// Robot_call.Refresh();
// Robot_call.Robot_interactive(true);
Robot_call.Robot_interactive(false);
Robot_call.Robot_interactive(true);
Robot_call.Refresh();
Calc_operations.EC3_Checks(0, ref Repair_instr, Leg_ops, this.results);
Calc_operations.EC3_Checks(1, ref Repair_instr, Bracing_ops, this.results);
Calc_operations.EC3_Checks(2, ref Repair_instr, Horiz_ops_plane_bracing, this.results);
//Calc_operations.EC3_Checks(3, ref Repair_instr, Horiz_ops_Offplane_bracing);
//sort and create various lists for repair function
Create_Repair_Function_Lists(Repair_instr, ref over_designed, ref under_designed, ref to_disable);
Repair(ref over_designed, ref under_designed, ref to_disable);
//Repair function aqui para cada lista; no disable verificar se podem ser disabled; no over designed ha limite de redução mas escolha e aleatoria
//(ou nao... ver se deve ser assim ou entao deve ser as primeiras 3 ou 4 da lista (remover da lista caso ja tenha sido alterada?) ou add a uma temp list os n que ja sairam
this.fitness += get_ton(); // get weight
Console.WriteLine("Fitness: " + this.fitness);
// analisar todas as calcOps
// na classe calc_ops
// com os resultados reparar as barras
// funçao repair é nesta classe
// calc fitness = peso
//get matrix with N V MY Mz for each bar
}
private void draw_Click(object sender, EventArgs e)
{
int c = 0;
this.Chart.Series.Clear();
this.Chart.Titles.Add("Fitness");
System.Windows.Forms.DataVisualization.Charting.Series series = this.Chart.Series.Add("fitness");
series.ChartType = System.Windows.Forms.DataVisualization.Charting.SeriesChartType.Spline;
double best = 0.0;
int count = 0;
CurrentPop = new Population(NextPop.ind);
for (int i = 0; i < 928; i++)
{
Generation.Text = i.ToString();
// CurrentPop = new Population(NextPop.ind);
if (i == 0)
{
for (int a = 0; a < Population.Pop_size; a++)
{
CurrentPop.ind[a].Evaluate();
c++;
series.Points.AddXY(c, CurrentPop.ind[a].fitness);
//Robot_call.Robot_interactive(true);
}
best = CurrentPop.ind[4].fitness;
}
else /*CurrentPop.ind[0].Evaluate();*/
{
c++;
series.Points.AddXY(c, CurrentPop.ind[0].fitness);
}
Array.Sort(CurrentPop.ind);
if (best == CurrentPop.ind[Population.Pop_size - 1].fitness)
{
count++;
}
else
{
best = CurrentPop.ind[Population.Pop_size - 1].fitness; count = 0;
}
if (count > 200)
{
break;
}
Individual temp = Population.Evolve_single(CurrentPop.ind, i);
temp.Evaluate();
if (temp.fitness < CurrentPop.ind[0].fitness)
{
CurrentPop.ind[0] = temp;
}
else
{
CurrentPop.ind[0] = temp;
}
//CurrentPop.ind[0] = temp; //Population.Evolve_single(CurrentPop.ind, i).Evaluate();
//Robot_call.Robot_interactive(true);
//Robot_call.Refresh();
//LastPop = new Population(CurrentPop.ind);
//NextPop = new Population(Population.Evolve(CurrentPop.ind,i));
}
// CurrentPop.ind[Population.Pop_size - 1].Evaluate();
Robot_call.Update_bars(CurrentPop.ind[Population.Pop_size - 1]._DNA);
Robot_call.Update_pts(CurrentPop.ind[Population.Pop_size - 1]._DNA);
Robot_call.Robot_interactive(true);
Robot_call.Refresh();
}
