private ScheduleChromosome RunOnce(LineSeries lineSeries = null)
{
var adamChromosome = new ScheduleChromosome(jobShop);
var population = new Population(Global.Config.MinPopulationSize, Global.Config.MaxPopulationSize, adamChromosome);
var fitness = new ScheduleFitness();
var selection = new NonDeterministicTournamentSelection(Global.Config.TournamentSelectionProbability);
var crossover = new SchedulesCrossover(new CycleCrossover());
var mutation = new ScheduleMutation(Global.Config.MutationPerGeneProbability, new ReverseSequenceMutation());
var geneticAlgorithm =
new GeneticSharp.Domain.GeneticAlgorithm(population, fitness, selection, crossover, mutation)
{
Termination = new GenerationNumberTermination(Global.Config.GenerationsCount),
MutationProbability = Global.Config.MutationProbability,
CrossoverProbability = Global.Config.CrossoverProbability,
OperatorsStrategy = new JobShopOperatorStrategy(),
Reinsertion = new JobShopReinsertion(
new EliteSelection(),
new Elitism(Global.Config.ElitismPercent),
fitness
)
};
var stopWatch = new Stopwatch();
if (adaptive)
{
geneticAlgorithm.GenerationRan += (sender, e) => AdaptMutationProbability(geneticAlgorithm);;
}
geneticAlgorithm.GenerationRan += (sender, e) =>
{
Print(geneticAlgorithm.Population, stopWatch.Elapsed);
};
// plot the model
if (PlotModel != null)
{
geneticAlgorithm.GenerationRan += (sender, e) =>
{
lineSeries.Points.Add(new DataPoint(geneticAlgorithm.Population.GenerationsNumber,
((ScheduleChromosome)geneticAlgorithm.Population.BestChromosome).ScheduleLength.Value));
};
}
geneticAlgorithm.GenerationRan += (o, e) => GenerationRan?.Invoke(geneticAlgorithm.Population.CurrentGeneration);
if (Global.Config.ThreadsCount > 1)
{
geneticAlgorithm.TaskExecutor = new ParallelTaskExecutor()
{
MinThreads = 1,
MaxThreads = Global.Config.ThreadsCount
};
}
stopWatch.Start();
geneticAlgorithm.Start();
stopWatch.Stop();
return((ScheduleChromosome)geneticAlgorithm.BestChromosome);
}
public void SetUp()
{
var jobShop = new JobShopLoader().Load("TestExamples/test1.in", false);
chromosome = new ScheduleChromosome(jobShop);
var machineChromosome1 = new MachineChromosome(new int[]
{
4, 5, 0, 2
}.Select(x => jobShop.Operations[x]).ToArray());
chromosome.ReplaceGene(0, new Gene(machineChromosome1));
var machineChromosome2 = new MachineChromosome(new int[]
{
1, 3
}.Select(x => jobShop.Operations[x]).ToArray());
chromosome.ReplaceGene(1, new Gene(machineChromosome2));
}
/// <summary>
/// Creates graph from specified chromosome.
/// </summary>
/// <param name="chromosome"></param>
/// <returns></returns>
public DiGraph <Operation> CreateGraph(ScheduleChromosome chromosome)
{
// dictionary mapping first operation to its successor
var machineOperationsDictionary = new Dictionary <Operation, List <Operation> >();
foreach (var machineChromosome in chromosome.GetGenes().Select(x => x.Value).Cast <MachineChromosome>().Where(x => x.Length >= 2))
{
var machineOperations = machineChromosome.GetGenes().Select(x => x.Value).Cast <Operation>().ToArray();
for (int i = 0; i < machineOperations.Length; i++)
{
var operations = new List <Operation>();
for (int j = i + 1; j < machineOperations.Length; j++)
{
// do not add operations on the same jobs (they have no reason)
if (machineOperations[j].JobId == machineOperations[i].JobId)
{
continue;
}
operations.Add(machineOperations[j]);
}
machineOperationsDictionary.Add(machineOperations[i], operations);
}
}
var graph = new DiGraph <Operation>();
// create source and target
var source = graph.AddVertex(new Operation(int.MinValue, int.MinValue, int.MinValue, int.MinValue, 0));
var target = graph.AddVertex(new Operation(int.MaxValue, int.MaxValue, int.MaxValue, int.MaxValue, 0));
// create vertices according to jobs descriptions and connect them to each other and to the source and target
foreach (var job in chromosome.JobShop.Jobs)
{
var lastOperationVertex = source;
// connect one path
foreach (var operation in job.Operations)
{
var currentOperationVertex = graph.AddVertex(operation);
graph.AddEdge(lastOperationVertex.Value, currentOperationVertex.Value);
lastOperationVertex = currentOperationVertex;
}
// add edge from last on the path to target
graph.AddEdge(lastOperationVertex.Value, target.Value);
}
// add edges between all machines oriented base on the schedule
// we need to add edges between all of them so if we rotate an edge we don't have to add new missing edges
// between some machines
foreach (var operation in chromosome.JobShop.Operations)
{
if (machineOperationsDictionary.TryGetValue(operation, out var nextMachineOperations))
{
foreach (var nextMachineOperation in nextMachineOperations)
{
graph.AddEdge(operation, nextMachineOperation);
}
}
}
return(graph);
}