private void ensureInitialized()
{
if (precedenceTree == null)
{
precedenceTree = new PathTree(paths);
evaluator = new TravelCostEvaluator(precedenceTree);
selector = new RouletteWheelSelector();
IMutator mutator = new ReverseSequenceMutator();
procreator = new SexualProcreator(new ShortestTravelCrossover(precedenceTree), mutator, 0.5);
Population genesis = new Population();
Individual individual0 = genesis.Append();
IReadOnlyList <PathNode> nodes = precedenceTree.NearestNeighborTraversal();
List <int> chromosome0 = individual0.GetChromosome();
chromosome0.AddRange(nodes.Select(node => node.Id));
//chromosome0.AddRange(Enumerable.Range(0, precedenceTree.Nodes.Count));
evaluator.Baseline(chromosome0);
//List<int> lastChromosome = chromosome0;
for (int i = 1; i < 100; i++)
{
List <int> chromosome = genesis.Append().GetChromosome();
chromosome.AddRange(chromosome0);
//chromosome.AddRange(lastChromosome);
mutator.Mutate(chromosome, random);
//lastChromosome = chromosome;
}
genesis.Freeze(evaluator);
optimizer = new GeneticOptimizer(genesis);
maxFitness = double.MinValue;
optimalPriorities = new List <int>();
}
}
