private void cbStopType_Selected(object sender, RoutedEventArgs e)
{
object Parsed = Enum.Parse(typeof(StoppingType), cbStopType.SelectedItem.ToString(), true);
if (Parsed != null)
{
StopType = (StoppingType)Parsed;
}
}
public MainWindow()
{
InitializeComponent();
NA = 25;
userC = 50;
method = 0;
// Stopping
stoppingType = StoppingType.GenerationNumber;
ng = 25;
nev = 25000;
Ftr = 0.00001;
//clonal generation params
beta = 0.5;
ro = 0.5;
d = NA / 5;
cgn = NA / 3;
cglssr = 0.005;
cgln = 5;
// Firework params
m = 50;
a = 0.04;
b = 0.8;
Amax = 40;
mhat = NA;
// Particle swarm params
c0 = 0.8;
cp = 0.2;
cg = 0.2;
// Genetic algorithm params
P = NA / 2;
pm = 0.6;
crossoverCount = NA;
// Bee algorithm params
ExBeeCount = 10;
MaxStep = 5;
// Bacterial algorithm params
Infections = 5;
ClonesCount = 15;
// Differential Evolution params
weighf = 1.8;
crossf = 0.9;
// Haromony Search params
consid_rate = 0.95;
adjust_rate = 0.7;
range = 0.5;
tbUserC.Text = this.userC.ToString();
}
public OptimizerWindow()
{
InitializeComponent();
// Number of antibodies.
NA = 20;
MethodId = 0;
// Stopping
StopType = StoppingType.GenerationNumber;
StopGenerationNumber = 100;
StopAffinityEvaluation = 2500;
StopFitnessTreshold = 0.0001;
//clonal generation params
beta = 0.5;
ro = 0.5;
d = NA / 5;
cgn = NA / 3;
cglssr = 0.005;
cgln = 5;
// Firework params
m = 50;
a = 0.04;
b = 0.8;
Amax = 40;
mhat = NA;
// Particle swarm parrams
c0 = 0.8;
cp = 0.2;
cg = 0.2;
// Genetic algorithm params
P = NA / 2;
pm = 0.6;
crossoverCount = NA;
RadioBaseRatio.IsChecked = true;
CheckOutput.IsChecked = true;
cbiFirework.IsSelected = true;
tbParamN.Text = NA.ToString();
cbStopType.ItemsSource = Enum.GetValues(typeof(StoppingType));
cbStopType.SelectedIndex = (int)StopType;
tbStopGen.Text = StopGenerationNumber.ToString();
tbStopEval.Text = StopAffinityEvaluation.ToString();
tbStopFt.Text = StopFitnessTreshold.ToString();
}
private void miTreshold_Click(object sender, RoutedEventArgs e)
{
UncheckStoppingType();
stoppingType = StoppingType.PerformanceTreshold;
miTreshold.IsChecked = true;
}
private void miEvaluation_Click(object sender, RoutedEventArgs e)
{
UncheckStoppingType();
stoppingType = StoppingType.EvaluationNumber;
miEvaluation.IsChecked = true;
}
public MainWindow()
{
InitializeComponent();
openParams = 0;
// Lower and upper bounds for the parameters.
lbp = new ArrayList {
-100.0, -100.0
};
ubp = new ArrayList {
100.0, 100.0
};
// Initial values of the parameters to be optimized.
InitialParameters = new ArrayList {
90.0, 90.0
};
// Define whether the seeked values should be restricted to integers (true) or not (false).
Integer = new bool[] { false, false };
//Create optimizer object.
// Number of antibodies.
NA = 50;
method = 0;
Slow = false;
Preview = false;
uniqueTest = false;
// Stopping
stoppingType = StoppingType.EvaluationNumber;
ng = 100;
nev = 50000;
Ftr = 0.00001;
// Fitness function
ffd = FitnessFunctionParabola;
//clonal generation params
beta = 0.5;
ro = 0.5;
d = NA / 5;
cgn = NA / 3;
cglssr = 0.005;
cgln = 5;
// Firework params
m = 50;
a = 0.04;
b = 0.8;
Amax = 40;
mhat = NA;
// Particle swarm params
c0 = 0.8;
cp = 0.2;
cg = 0.2;
// Genetic algorithm params
P = NA / 2;
pm = 0.6;
crossoverCount = NA;
// Bee algorithm params
ExBeeCount = 10;
MaxStep = 5;
// Bacterial algorithm params
Infections = 10;
ClonesCount = 25;
// Differential Evolution params
weighf = 1.8;
crossf = 0.9;
// Haromony Search params
consid_rate = 0.95;
adjust_rate = 0.7;
range = 0.05;
}
