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); } }