public SelectionGenome(SelectionGenomePopulation population)
{
this.population = population;
selection = new Hashtable();
}
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 Copy(IGenome otherGenome)
{
SelectionGenome other = (SelectionGenome) otherGenome;
population = other.population;
isValid = other.isValid;
modified = other.modified;
objective = other.objective;
if (other.instructionGraph != null) {
IDictionary instructionMap;
IDictionary valueMap;
instructionGraph =
other.instructionGraph.Clone(
out instructionMap, out valueMap);
if (other.registerAssignment != null &&
other.instructionSchedule != null) {
registerAssignment =
other.registerAssignment.Clone(valueMap);
instructionSchedule =
other.instructionSchedule.Clone(instructionMap);
/*
bestSchedulingGenome =
other.bestSchedulingGenome.Clone(
instructionMap, valueMap);
*/
} else {
registerAssignment = null;
instructionSchedule = null;
/*
bestSchedulingGenome = null;
*/
}
} else {
instructionGraph = null;
}
foreach (OperationNode op in OperationNodes)
selection[op] = other.selection[op];
}
