//verifica se esse individuo é melhor que outro
public bool IsBest(Indiv best)
{
if (this.pontuation >= best.pontuation)
{
if (this.pontuation == best.pontuation && this.plays < best.plays)
{
return(false);
}
return(true);
}
return(false);
}
// crossover: media com o best
public void Breed(Indiv best)
{
// avalicao nao realizada
this.pontuation = -1;
this.plays = 0;
for (int i = 0; i < numPieces + surfaceSize; i++)
{
this.weightRotate1[i] = (this.weightRotate1[i] + best.weightRotate1[i]) / 2; // novo parametro
// this.weightRotate2[i] = (this.weightRotate2[i] + best.weightRotate2[i]) / 2;
// this.weightRotate3[i] = (this.weightRotate3[i] + best.weightRotate3[i]) / 2;
this.weightMoveR1[i] = (this.weightMoveR1[i] + best.weightMoveR1[i]) / 2;
// this.weightMoveR2[i] = (this.weightMoveR2[i] + best.weightMoveR2[i]) / 2;
// this.weightMoveR3[i] = (this.weightMoveR3[i] + best.weightMoveR3[i]) / 2;
// this.weightMoveR4[i] = (this.weightMoveR4[i] + best.weightMoveR4[i]) / 2;
// this.weightMoveL1[i] = (this.weightMoveL1[i] + best.weightMoveL1[i]) / 2;
// this.weightMoveL2[i] = (this.weightMoveL2[i] + best.weightMoveL2\[i]) / 2;
// this.weightMoveL3[i] = (this.weightMoveL3[i] + best.weightMoveL3[i]) / 2;
// this.weightMoveL4[i] = (this.weightMoveL4[i] + best.weightMoveL4[i]) / 2;
// this.weightMoveL5[i] = (this.weightMoveL5[i] + best.weightMoveL5[i]) / 2;
}
}
public Indiv mat(Indiv par2)
{
string child_chromo1 = "";
string child_chromo2 = "";
string child_chromo3 = "";
int len, l1 = par2.chromo.Length;
int l = chromo.Length;
if (l1 < l)
{
len = l1;
}
else
{
len = l;
}
for (int i = 2; i < len; i++)
{
double p = GlobalMembers.random_weight(0, 1);
//cout<<p<<" ";
if (p < 0.6)
{
child_chromo1 += chromo[i];
}
else if (p < 0.80)
{
child_chromo1 += par2.chromo[i];
}
else
{
child_chromo1 += (char)GlobalMembers.mutated_genes();
}
}
for (int i = 2; i < len; i++)
{
double p = GlobalMembers.random_weight(0, 1);
if (p < 0.6)
{
child_chromo2 += chromo[i];
}
else if (p < 0.80)
{
child_chromo2 += par2.chromo[i];
}
else
{
child_chromo2 += (char)GlobalMembers.mutated_genes();
}
}
for (int i = 2; i < len; i++)
{
double p = GlobalMembers.random_weight(0, 1);
if (p < 0.6)
{
child_chromo3 += chromo[i];
}
else if (p < 0.80)
{
child_chromo3 += par2.chromo[i];
}
else
{
child_chromo3 += (char)GlobalMembers.mutated_genes();
}
}
child_chromo1 = "0." + child_chromo1;
child_chromo2 = "0." + child_chromo2;
child_chromo3 = "0." + child_chromo3;
//cout<<child_chromosome1<<" "<<child_chromosome2<<" "<<child_chromosome3<<" ";
string c1 = child_chromo1;
string c2 = child_chromo2;
string c3 = child_chromo3;
double number, number1, number2;
Double.TryParse(c1, out number);
Double.TryParse(c2, out number1);
Double.TryParse(c3, out number2);
Indiv ret = new Indiv(number, number1, number2);
return(ret);
}
protected void Button1_Click(object sender, EventArgs e)
{
int n = 1;
while (n > 0)
{
n--;
con.Open();
// int n = 100;
// int j = 1;
// for(int j=1;j<=50;j++)
// {
//RandomNumbers.Seed((uint)(time(0)));
/* double MU1 = GlobalMembers.random_weight(0, 1);
* double MU2 = GlobalMembers.random_weight(0, 1);
* double MU3 = GlobalMembers.random_weight(0, 1);
* // double a1 = 1;
* double NU1 = (double)1 - MU1;
* double NU2 = (double)1 - MU2;
* double NU3 = (double)1 - MU3;
*/// double w1=random_weight(0,1),w2=random_weight(0,1),w3=random_weight(0,1);
//double MU=1-((1-pow(MU1,w1))*(1-pow(MU2,w2))*(1-pow(MU3,w3)));
/* double MU1 = Convert.ToDouble(Session["MU1"]);
* double MU2 = Convert.ToDouble(Session["MU2"]);
* double MU3 = Convert.ToDouble(Session["MU3"]);
* double NU1 = Convert.ToDouble(Session["NU1"]);
* double NU2 = Convert.ToDouble(Session["NU2"]);
* double NU3 = Convert.ToDouble(Session["NU3"]);
*/
string semail = Session["email"].ToString();
string sname = Session["name"].ToString();
SqlCommand cmd = new SqlCommand("Select MU_Aggregate,NU_Aggregate from LearningForm Where Email='" + semail + "'", con);
SqlDataReader dr = cmd.ExecuteReader();
DataTable dt = new DataTable();
dt.Load(dr);
int flag = 1;
if (dt.Rows.Count <= 0)
{
// ScriptManager.RegisterClientScriptBlock(this, this.GetType(), "alertMessage", "alert('Please fill the Learning Style questionnaire first.')", true);
Session["flag"] = 0;
Response.Redirect("Learningform.aspx");
}
double MU1 = Convert.ToDouble(dt.Rows[0][0]);
double NU1 = Convert.ToDouble(dt.Rows[0][1]);
SqlCommand cmd1 = new SqlCommand("Select MU,NU from PersonalityForm Where Email='" + semail + "'", con);
SqlDataReader dr1 = cmd1.ExecuteReader();
DataTable dt1 = new DataTable();
dt1.Load(dr1);
if (dt1.Rows.Count <= 0)
{
Session["flag"] = 0;
Response.Redirect("Personalityform.aspx");
}
double MU2 = Convert.ToDouble(dt1.Rows[0][0]);
double NU2 = Convert.ToDouble(dt1.Rows[0][1]);
SqlCommand cmd2 = new SqlCommand("Select MU,NU from Knowledgeform Where Email='" + semail + "'", con);
SqlDataReader dr2 = cmd2.ExecuteReader();
DataTable dt2 = new DataTable();
dt2.Load(dr2);
if (dt2.Rows.Count <= 0)
{
Session["flag"] = 0;
Response.Redirect("Knowledgelevel.aspx");
}
double MU3 = Convert.ToDouble(dt2.Rows[0][0]);
double NU3 = Convert.ToDouble(dt2.Rows[0][1]);
double averageMU = (MU1 + MU2 + MU3) / 3;
double diffMU1 = MU1 - NU1;
double diffMU2 = MU2 - NU2;
double diffMU3 = MU3 - NU3;
double averagediffMU = (diffMU1 + diffMU2 + diffMU3) / 3;
int generation = 0;
List <Individual> population = new List <Individual>();
bool found = false;
List <Indiv> pop = new List <Indiv>();
for (int i = 0; i < DefineConstants.POPULATION_SIZE; i++)
{
//string gnome = create_gnome();
population.Add(new Individual(MU1, MU2, MU3));
pop.Add(new Indiv(NU1, NU2, NU3));
//cout<<population[i].fitness<<" ";
}
while (!found)
{
if (generation == 100)
{
found = true;
break;
}
// List<int> integers = new List<int>();
List <Individual> new_generation = new List <Individual>();
List <Indiv> new_gen = new List <Indiv>();
int s = (80 * DefineConstants.POPULATION_SIZE) / 100;
for (int i = 10; i < s + 10; i++)
{
new_generation.Add(population[i]);
new_gen.Add(pop[i]);
// cout<<population[i].fitness<<" ";
}
s = (20 * DefineConstants.POPULATION_SIZE) / 100;
for (int i = 0; i < s; i++)
{
// int len = population.size();
int r = GlobalMembers.random_num(0, 5);
Individual parent1 = population[r];
Indiv par1 = pop[r];
//cout<<population[r].fitness<<" ";
r = GlobalMembers.random_num(0, 5);
Individual parent2 = population[r];
Indiv par2 = pop[r];
//cout<<population[r].fitness<<" ";
Individual offspring = parent1.mate(parent2);
Indiv offsp = par1.mat(par2);
new_generation.Add(offspring);
new_gen.Add(offsp);
//cout<<new_generation[i].fitness<<" ";
}
population = new_generation;
pop = new_gen;
// cout<< "Generation: " << generation << "\t";
//cout<< population[0].chromosome <<endl;
generation++;
}
//cout<< generation << "\t";
double X = Convert.ToDouble(population[0].chromosome);
double Y = Convert.ToDouble(pop[0].chromo);
//System.Diagnostics.Debug.WriteLine("MU-" + X);
// System.Diagnostics.Debug.WriteLine("NU-" + Y);
if (X + Y > 1)
{
Y = (double)1 - X;
}
Session["Mu"] = X;
Session["Nu"] = Y;
knn a = new knn();
a.KNN();
int c;
c = Convert.ToInt32(Session["class"]);
SqlCommand com = new SqlCommand("insert into Class (Email,Name,MU,NU,Class,Generation,Mu1,Mu2,Mu3,AverageMu,Mu1diff,Mu2diff,Mu3diff,averageMudiff) values('" + semail + "','" + sname + "','" + X + "','" + Y + "','" + c + "','" + generation + "','" + MU1 + "','" + MU2 + "','" + MU3 + "','" + averageMU + "','" + diffMU1 + "','" + diffMU2 + "','" + diffMU3 + "','" + averagediffMU + "')", con);
com.ExecuteNonQuery();
//}
// Response.Redirect("knn.aspx");
string cl;
if (c == 1)
{
cl = "Low";
}
else if (c == 2)
{
cl = "Low-Medium";
}
else if (c == 3)
{
cl = "Medium";
}
else if (c == 4)
{
cl = "Medium-High";
}
else
{
cl = "High";
}
con.Close();
}
//Response.Redirect("WebForm2.aspx");
//Response.Write("<script language='javascript'>window.alert('You belong to class "+cl+"');window.location='WebForm2.aspx';</script>");
}
