public void MultiObjectiveFitnessWriteAndRead()
{
var rand = new MersenneTwisterFast(0);
var f = new MultiObjectiveFitness(2);
var f2 = new MultiObjectiveFitness(2); // We'll use this when we read the other one back in
f2.SetObjectives(null, new [] { 0.0, 0.0 }); // setting these to zero allows us to check if they change
// Default is to Maximize!
// These need to be set up manually here because we are not running 'Setup'.
// Every instance would thus normally share the same min and max values.
f.MaxObjective = new [] { 1.0, 1.0 };
f.MinObjective = new [] { 0.0, 0.0 };
f2.MaxObjective = new[] { 1.0, 1.0 };
f2.MinObjective = new[] { 0.0, 0.0 };
// Set two objective (fitness) values, worst and best respectively
f.SetObjectives(null, new [] { 0.0, 1.0 });
// Set up some random Trials just to check that they get transmitted
const int n = 10;
f.Trials = new List <double>(n);
for (var i = 0; i < n; i++)
{
f.Trials.Add(rand.NextDouble() * double.MaxValue); // in the half-open interval [0.0, double.MaxValue)
}
using (var ms = new MemoryStream())
{
var writer = new BinaryWriter(ms);
f.WriteFitness(null, writer); // Write
ms.Position = 0;
var reader = new BinaryReader(ms);
f2.ReadFitness(null, reader); // Read
// Compare
Assert.AreEqual(f.Value, f2.Value); // Value is same. This is the MAX objective value in the array
// Just for kicks, lets make sure BOTH objectives are equal to the original values
Assert.AreEqual(f.GetObjective(0), 0.0);
Assert.AreEqual(f.GetObjective(0), f2.GetObjective(0));
Assert.AreEqual(f.GetObjective(1), 1.0);
Assert.AreEqual(f.GetObjective(1), f2.GetObjective(1));
// And let's make sure our MAX and MIN are the same (these wouldn't normally change once established in 'Setup')
Assert.AreEqual(f.MinObjective[0], f2.MinObjective[0]);
Assert.AreEqual(f.MinObjective[1], f2.MinObjective[1]);
Assert.AreEqual(f.MaxObjective[0], f2.MaxObjective[0]);
Assert.AreEqual(f.MaxObjective[1], f2.MaxObjective[1]);
Assert.IsTrue(f.Value <= 1.0f && f2.Value <= 1.0f); // This is the MAX objective value in the array
Assert.IsFalse(f2.IsIdeal); // Fitness is not ideal by default (ideal must be defined in subclass)
Assert.AreEqual(f2.Trials.Count, f.Trials.Count); // Number of trials is the same
for (var i = 0; i < f.Trials.Count; i++)
{
Assert.AreEqual((double)f.Trials[i], (double)f2.Trials[i]); // Trial values are all the same
}
}
}
