public void SelectFittestChildrenOnNullArgument()
{
using (var parameters = new ExpressionEvolverGeneticAlgorithmParameters(
(a) => { return(a); }))
{
parameters.SelectFittestChildren(null);
}
}
public void SelectFittestChildrenOnDisposedObject()
{
ExpressionEvolverGeneticAlgorithmParameters parameters = null;
using (parameters = new ExpressionEvolverGeneticAlgorithmParameters(
(a) => { return(a); })) { }
parameters.SelectFittestChildren(null);
}
public void SelectFittestChildrenWhenPopulationIsTooSmall()
{
using (var parameters = new ExpressionEvolverGeneticAlgorithmParameters(
(a) => { return(a); }))
{
var chromosomes = new List <Chromosome <Expression <Func <double, double> > > >();
for (var i = 0; i < (int)ExpressionEvolverGeneticAlgorithmParameters.SelectFittestChildrenPercentage - 1; i++)
{
chromosomes.Add(new Chromosome <Expression <Func <double, double> > >(a => a, (double)i));
}
var population = new Population <Expression <Func <double, double> > >(chromosomes);
var results = parameters.SelectFittestChildren(population);
Assert.AreEqual(0, results.Count);
}
}
