public void FlipGene_Index_ValueFlip()
{
RandomizationProvider.Current = Substitute.For <IRandomization>();
RandomizationProvider.Current.GetDouble(0, 0).Returns(0);
var target = new FloatingPointChromosome(0, 0, 2);
target.FlipGene(0);
Assert.AreEqual("10000000000000000000000000000000", target.ToString());
target.FlipGene(1);
Assert.AreEqual("11000000000000000000000000000000", target.ToString());
target.FlipGene(31);
Assert.AreEqual("11000000000000000000000000000001", target.ToString());
target.FlipGene(30);
Assert.AreEqual("11000000000000000000000000000011", target.ToString());
}
public void FloatingPoint()
{
var target = new FloatingPointChromosome(0, 10, 0);
target.Clone();
target.CompareTo(new FloatingPointChromosome(0, 10, 0));
target.CreateNew();
var x = target.Fitness;
target.FlipGene(0);
target.GenerateGene(0);
target.GetGene(0);
target.GetGenes();
target.GetHashCode();
var y = target.Length;
target.ReplaceGene(0, new Gene(1d));
target.ReplaceGenes(0, new Gene[] { new Gene(1), new Gene(0) });
target.Resize(20);
target.ToFloatingPoint();
target.ToString();
}
public void ToFloatingPoint_NegativeValue_Double()
{
RandomizationProvider.Current = Substitute.For <IRandomization>();
RandomizationProvider.Current.GetDouble(-2.5, 0.5).Returns(-1.1);
var target = new FloatingPointChromosome(-2.5, 0.5, 64, 2);
Assert.AreEqual("1111111111111111111111111111111111111111111111111111111110010010", target.ToString());
var actual = target.ToFloatingPoint();
Assert.AreEqual(-1.1, actual);
}
