private void UpdateCrossovers()
{
ICrossover oldCrossover = CrossoverParameter.Value;
ICrossover defaultCrossover = Problem.Operators.OfType <ICrossover>().FirstOrDefault();
CrossoverParameter.ValidValues.Clear();
foreach (ICrossover crossover in Problem.Operators.OfType <ICrossover>().OrderBy(x => x.Name))
{
ParameterizeStochasticOperatorForIsland(crossover);
CrossoverParameter.ValidValues.Add(crossover);
}
if (oldCrossover != null)
{
ICrossover crossover = CrossoverParameter.ValidValues.FirstOrDefault(x => x.GetType() == oldCrossover.GetType());
if (crossover != null)
{
CrossoverParameter.Value = crossover;
}
else
{
oldCrossover = null;
}
}
if (oldCrossover == null && defaultCrossover != null)
{
CrossoverParameter.Value = defaultCrossover;
}
}
private void UpdateCrossovers()
{
ICrossover oldCrossover = CrossoverParameter.Value;
CrossoverParameter.ValidValues.Clear();
foreach (ICrossover crossover in Problem.Operators.OfType <ICrossover>().OrderBy(x => x.Name))
{
CrossoverParameter.ValidValues.Add(crossover);
}
if (oldCrossover != null)
{
ICrossover crossover = CrossoverParameter.ValidValues.FirstOrDefault(x => x.GetType() == oldCrossover.GetType());
if (crossover != null)
{
CrossoverParameter.Value = crossover;
}
}
}
private void UpdateRecombinators()
{
ICrossover oldRecombinator = Recombinator;
RecombinatorParameter.ValidValues.Clear();
foreach (ICrossover recombinator in Problem.Operators.OfType <ICrossover>().OrderBy(x => x.Name))
{
RecombinatorParameter.ValidValues.Add(recombinator);
}
if (oldRecombinator != null)
{
ICrossover recombinator = RecombinatorParameter.ValidValues.FirstOrDefault(x => x.GetType() == oldRecombinator.GetType());
if (recombinator != null)
{
RecombinatorParameter.Value = recombinator;
}
}
}
public int Prediction(Customer customer)
{
double prediction = 0.0;
double cutoffRate = 0.85;
for (int i = 0; i < customer.attributes.Count; i++)
{
prediction += customer.attributes[i] * topSeed.attributes[i];
}
Console.WriteLine("Genetic Algorithms");
Console.WriteLine("population size: " + size);
Console.WriteLine("generations: " + k);
Console.WriteLine("crossover rate: " + crossoverRate);
Console.WriteLine("mutation rate: " + mutationRate);
Console.WriteLine("selection method: " + selection.GetType().Name);
Console.WriteLine("crossover method: " + crossover.GetType().Name);
Console.WriteLine("size of training data: " + trainingData.Count);
Console.WriteLine();
Console.WriteLine("the best fitness value (" + topSeed.fitness + ") belongs to the following seed:");
Console.Write("[");
for (int i = 0; i < topSeed.attributes.Count; i++)
{
if (i < topSeed.attributes.Count - 1)
{
Console.Write(Math.Round(topSeed.attributes[i], 3) + ", ");
}
else
{
Console.Write(Math.Round(topSeed.attributes[i], 3) + "]");
}
}
Console.WriteLine();
Console.WriteLine();
Console.WriteLine("The customer that was input has the following attributes:");
Console.Write("[");
for (int i = 0; i < customer.attributes.Count; i++)
{
if (i < customer.attributes.Count - 1)
{
Console.Write(customer.attributes[i] + ", ");
}
else
{
Console.Write(customer.attributes[i] + "]");
}
}
Console.WriteLine();
Console.WriteLine();
Console.WriteLine("After multiplying the customer with the top seed we receive the following prediction: " + prediction);
if (prediction > cutoffRate)
{
Console.WriteLine("The prediction is greater than the cutoffrate (" + cutoffRate + ")");
Console.WriteLine("We can therefore assume that this customer is pregnant");
return(1);
}
else
{
Console.WriteLine("The prediction is lower than the cutoffrate (" + cutoffRate + ")");
Console.WriteLine("We can therefore assume that this customer is not pregnant");
return(0);
}
}
/// <summary>
/// Initializes a new instance of the <see cref="GeneticSharp.Domain.Crossovers.CrossoverException"/> class.
/// </summary>
/// <param name="crossover">The crossover where occurred the error.</param>
/// <param name="message">The error message.</param>
/// <param name="innerException">The inner exception.</param>
public CrossoverException(ICrossover crossover, string message, Exception innerException)
: base("{0}: {1}".With(crossover != null ? crossover.GetType().Name : String.Empty, message), innerException)
{
Crossover = crossover;
}
/// <summary>
/// Initializes a new instance of the <see cref="GeneticSharp.Domain.Crossovers.CrossoverException"/> class.
/// </summary>
/// <param name="crossover">The crossover where occurred the error.</param>
/// <param name="message">The error message.</param>
/// <param name="innerException">The inner exception.</param>
public CrossoverException(ICrossover crossover, string message, Exception innerException)
: base("{0}: {1}".With(crossover != null ? crossover.GetType().Name : String.Empty, message), innerException)
{
Crossover = crossover;
}
