public void SortedSubsetOperatorBase_CleanOutSections_DeleteSectionsWith0Length(int sectionIndex1, int sectionIndex2)
{
var originalChromosome = SortedSubsetTestData.CreateChromosome();
var sections = new int[originalChromosome.Sections.Length + 2][];
var sourceIndex = 0;
for (int targetIndex = 0; targetIndex < sections.Length; targetIndex++)
{
if (targetIndex != sectionIndex1 && targetIndex != sectionIndex2)
{
sections[targetIndex] = originalChromosome.Sections[sourceIndex];
sourceIndex++;
}
else
{
sections[targetIndex] = new int[0];
}
}
var testChromosome = new SortedSubsetChromosome(sections);
var random = Substitute.For <IRandom>();
var parameterSet = new ParameterSet();
var conflictDetectors = new List <INeighborhoodConflictDetector>()
{
AllRightConflictDetector.Instance
};
var operatorBase = new SortedSubsetOperatorBase(random, parameterSet, conflictDetectors);
operatorBase.CleanOutSections(testChromosome);
testChromosome.Sections.Should().BeEquivalentTo(originalChromosome.Sections);
}
public IEntity CreateEntity()
{
IRandom random = new FastRandom(DateTime.Now.Millisecond);
List <List <int> > indices = new List <List <int> >();
for (int i = 0; i < InitData.Trips.Length; i++)
{
int targetIndex;
targetIndex = ChooseTarget(random, indices, i);
if (targetIndex == indices.Count)
{
indices.Add(new List <int>());
}
indices[targetIndex].Add(i);
}
int[][] geneSections = CreateSectionsFromList(indices);
var chromosome = new SortedSubsetChromosome(geneSections);
var entity = new VehicleSchedulingEntity();
entity.Chromosomes.Add(Key, chromosome);
return(entity);
}
public void GivenSortedSubsetChromosome_WhenDeepClone_ThenShouldBeEquivalent()
{
var chromosome = new SortedSubsetChromosome(new int[][]
{
new int[] { 1, 2 },
new int[] { 3, 4, 5 }
});
var clone = chromosome.DeepClone();
clone.Sections.Should().BeEquivalentTo(chromosome.Sections);
}
public static SortedSubsetChromosome CreateChromosome()
{
var section1 = new int[] { 1, 4, 5, 7 };
var section2 = new int[] { 3, 6, 8 };
var section3 = new int[] { 2, 9 };
var sections = new int[][]
{
section1, section2, section3
};
var chromosome = new SortedSubsetChromosome(sections);
return(chromosome);
}
public void GivenChromosome_WithOneSection_WhenReplaceOneGene_ThenShouldReturnNull()
{
var random = new SystemRandom(Environment.TickCount);
var parameterSet = new ParameterSet();
var chromosome = new SortedSubsetChromosome(new List <ICollection <int> >()
{
new int[] { 1, 2, 3, 4, 5, 6 }
});
var conflictDetectors = new List <INeighborhoodConflictDetector>()
{
AllRightConflictDetector.Instance
};
var mutation = new ReplaceOneGeneMutation(random, parameterSet, conflictDetectors);
var result = mutation.Mutate(chromosome);
result.Should().BeNull();
}
