protected virtual void GetOperationsToMutate(
ProgramGraph programGraph, ValueNode rootVal, int depth,
IList operationsToMutate)
{
if (depth > 0) {
if (!rootVal.IsInputValue()) {
OperationNode op =
(OperationNode) rootVal.ProducingOperation;
if (!operationsToMutate.Contains(op)) {
operationsToMutate.Add(op);
foreach (ValueNode opVal in op.OperandValues) {
GetOperationsToMutate(programGraph, opVal, depth - 1,
operationsToMutate);
}
}
}
}
}
public virtual void Initialize(
MachineDescription machineDescription,
ProgramGraph programGraph)
{
this.machineDescription = machineDescription;
this.programGraph = programGraph;
transferInstructions = machineDescription.GetTransferInstructions();
operationNodes = programGraph.GetOperationNodes();
valueNodes = programGraph.GetValueNodes();
coveringDesc =
programGraph.CreateCoveringDesc(machineDescription.Instructions);
population = new SelectionGenomePopulation(PopulationSize, this);
population.ScalingOperator = new LinearScaling(ScalingFactor, true);
population.SelectionOperator = new RouletteWheelSelection();
population.MutationOperator = new SelectionGenomeMutation();
population.CrossoverOperator = new SelectionGenomeCrossover();
population.GenomeEvaluator = new SelectionGenomeEvaluator(scheduler);
ga = new SimpleGA(population);
ga.PMutation = configuration.PMutation;
ga.PCrossover = configuration.PCrossover;
ga.ComputeObjectiveStatistics =
configuration.ComputeObjectiveStatistics;
ga.ComputeFitnessStatistics =
configuration.ComputeFitnessStatistics;
ga.ComputeGenomeDiversity =
configuration.ComputeGenomeDiversity;
ga.GenerationComputed +=
new SimpleGA.EventHandler(UpdateGAMonitor);
bestObjectiveMonitor = new double[MonitoredGenerations];
if (Initialized != null)
Initialized(this);
}
public virtual void Initialize(
MachineDescription machineDescription,
ProgramGraph programGraph)
{
selector.Initialize(machineDescription, programGraph);
}