/// <summary>
/// Default EA settings
/// </summary>
/// <param name="logger">logger to log the settings</param>
/// <returns>configuration of EA</returns>
private EvolutionaryAlgorithm InitializeEVA(Logger logger, Random rng)
{
EvolutionaryAlgorithm ea;
//Set the options for the evolutionary algorithm
ea = new EvolutionaryAlgorithm();
// Fitness function
if (Properties.Settings.Default.Task == "spanner")
{
ea.SetFitnessFunction(new SpannerFitness(edgeCount));
logger.Log(Logger.Level.SETTINGS, "Spanner");
task = "spanner";
}
else if (Properties.Settings.Default.Task == "degree")
{
ea.SetFitnessFunction(new MaxDegreeFitness(cubeDimension));
logger.Log(Logger.Level.SETTINGS, "MaxDegree");
task = "degree";
}
else
{
ea.SetFitnessFunction(new EdgeDisjointSpanner(cubeDimension));
logger.Log(Logger.Level.SETTINGS, "EDS");
task = "eds";
}
// Replacement
ea.SetReplacement(new ChildrenOnlyReplacement());
//ea.SetReplacement(new MergingReplacement());
//ea.SetReplacement(new PercentageReplacement(20));
// Selectors
//ea.AddMatingSelector(new RouletteWheelSelector());
ea.AddMatingSelector(new TournamentSelector(tourWeakerProb, competitors, rng));
//ea.AddMatingSelector(new BoltzmannTournamentSelector(maxGen));
//ea.AddMatingSelector(new BoltzmannRouletteWheelSelector(maxGen));
// Operators
ea.AddOperator(new SubcubeSwapXOver(xoverProb, subcubeSize, rng));
//ea.AddOperator(new NPointXOver(xoverProb, nPoints));
//ea.AddOperator(new SimpleRepairEdgeMutation(mutProb, mutRepair));
//ea.AddOperator(new CleverRepairEdgeMutation(mutProb / 100, mutRepair));
ea.AddOperator(new FlipEdgeMutation(mutProb, mutProbPerBit, rng));
ea.AddOperator(new SubcubeTranslationMutation(mutProb, 2, rng));
ea.AddOperator(new SubcubeRotationMutation(mutProb, 2, rng));
//ea.AddEnvironmentalSelector(new RouletteWheelSelector());
ea.AddEnvironmentalSelector(new TournamentSelector(tourWeakerProb, competitors, rng));
//ea.AddEnvironmentalSelector(new BoltzmannTournamentSelector(maxGen));
//ea.AddEnvironmentalSelector(new BoltzmannRouletteWheelSelector(maxGen));
ea.SetElite(eliteSize);
return(ea);
}
/// <summary>
/// Loads EA settings from a config file
/// </summary>
/// <param name="logger">logger to log the configuration</param>
/// <returns>configuration of EA</returns>
private EvolutionaryAlgorithm LoadEVA(Logger logger, Random rnd)
{
EvolutionaryAlgorithm ea = new EvolutionaryAlgorithm();
string[] lines = new string[1];
try
{
lines = System.IO.File.ReadAllLines(@"./../config.txt");
}
catch (Exception e)
{
Console.WriteLine(e.StackTrace);
}
for (int i = 0; i < lines.Length; i++)
{
string thisLine = lines[i];
// commentary
if (thisLine.Length < 1 || thisLine[0] == '#')
{
continue;
}
var line = thisLine.Split(new char[] { '\t' }, StringSplitOptions.RemoveEmptyEntries);
switch (line[0])
{
// selection
case "RouletteWheel":
if (line.GetOrElse(1, "") == "ENV" || line.GetOrElse(2, "") == "ENV")
{
ea.AddEnvironmentalSelector(new RouletteWheelSelector(rnd));
}
if (line.GetOrElse(1, "") == "MAT" || line.GetOrElse(2, "") == "MAT")
{
ea.AddMatingSelector(new RouletteWheelSelector(rnd));
}
if (line.Length < 2)
{
ea.AddEnvironmentalSelector(new RouletteWheelSelector(rnd));
ea.AddMatingSelector(new RouletteWheelSelector(rnd));
}
break;
case "Tournament":
if (line.GetOrElse(2, "") == "ENV" || line.GetOrElse(3, "") == "ENV")
{
ea.AddEnvironmentalSelector(new TournamentSelector(
tourWeakerProb,
line.ParseIntOrElse(1, Properties.Settings.Default.TournamentCompetitors),
rnd));
}
if (line.GetOrElse(2, "") == "MAT" || line.GetOrElse(3, "") == "MAT")
{
ea.AddMatingSelector(new TournamentSelector(
tourWeakerProb,
line.ParseIntOrElse(1, Properties.Settings.Default.TournamentCompetitors),
rnd));
}
if (line.Length < 3)
{
ea.AddEnvironmentalSelector(new TournamentSelector(
tourWeakerProb,
line.ParseIntOrElse(1, Properties.Settings.Default.TournamentCompetitors),
rnd));
ea.AddMatingSelector(new TournamentSelector(
tourWeakerProb,
line.ParseIntOrElse(1, Properties.Settings.Default.TournamentCompetitors),
rnd));
}
break;
case "BoltzmannTournament":
if (line.GetOrElse(2, "") == "ENV" || line.GetOrElse(3, "") == "ENV")
{
ea.AddEnvironmentalSelector(new BoltzmannTournamentSelector(maxGen,
tourWeakerProb,
line.ParseIntOrElse(1, Properties.Settings.Default.TournamentCompetitors),
rnd));
}
if (line.GetOrElse(2, "") == "MAT" || line.GetOrElse(3, "") == "MAT")
{
ea.AddMatingSelector(new BoltzmannTournamentSelector(maxGen,
tourWeakerProb,
line.ParseIntOrElse(1, Properties.Settings.Default.TournamentCompetitors),
rnd));
}
if (line.Length < 3)
{
ea.AddEnvironmentalSelector(new BoltzmannTournamentSelector(maxGen,
tourWeakerProb,
line.ParseIntOrElse(1, Properties.Settings.Default.TournamentCompetitors),
rnd));
ea.AddMatingSelector(new BoltzmannTournamentSelector(maxGen,
tourWeakerProb,
line.ParseIntOrElse(1, Properties.Settings.Default.TournamentCompetitors),
rnd));
}
break;
case "BoltzmannRouletteWheel":
if (line.GetOrElse(1, "") == "ENV" || line.GetOrElse(2, "") == "ENV")
{
ea.AddEnvironmentalSelector(new BoltzmannRouletteWheelSelector(maxGen, rnd));
}
if (line.GetOrElse(1, "") == "MAT" || line.GetOrElse(2, "") == "MAT")
{
ea.AddMatingSelector(new BoltzmannRouletteWheelSelector(maxGen, rnd));
}
if (line.Length < 2)
{
ea.AddEnvironmentalSelector(new BoltzmannRouletteWheelSelector(maxGen, rnd));
ea.AddMatingSelector(new BoltzmannRouletteWheelSelector(maxGen, rnd));
}
break;
case "ChildrenOnly":
ea.SetReplacement(new ChildrenOnlyReplacement());
logger.Log(Logger.Level.SETTINGS, "ChildrenOnly Replacement");
break;
case "Merging":
ea.SetReplacement(new MergingReplacement());
logger.Log(Logger.Level.SETTINGS, "Merging Replacement");
break;
case "Percentage":
ea.SetReplacement(new PercentageReplacement(
line.ParseIntOrElse(1, Properties.Settings.Default.ReplacementPercentage)));
logger.Log(Logger.Level.SETTINGS, "Percentage Replacement");
break;
// operators
case "SubcubeSwap":
ea.AddOperator(
new SubcubeSwapXOver(
line.ParseDoubleOrElse(1, Properties.Settings.Default.P_CrossoverProbability),
line.ParseIntOrElse(2, Properties.Settings.Default._SubcubeSize),
rnd));
break;
case "N-Point":
ea.AddOperator(
new NPointXOver(
line.ParseDoubleOrElse(1, Properties.Settings.Default.P_CrossoverProbability),
line.ParseIntOrElse(2, Properties.Settings.Default.NPoints),
rnd));
break;
case "CleverRepair":
ea.AddOperator(
new CleverRepairEdgeMutation(
line.ParseDoubleOrElse(1, Properties.Settings.Default.P_MutationProbability),
rnd));
break;
case "SimpleRepair":
ea.AddOperator(
new SimpleRepairEdgeMutation(
line.ParseDoubleOrElse(1, Properties.Settings.Default.P_MutationProbability),
line.ParseDoubleOrElse(2, Properties.Settings.Default.P_MutationPerEdgeProbability),
rnd));
break;
case "Translation":
ea.AddOperator(
new SubcubeTranslationMutation(
line.ParseDoubleOrElse(1, Properties.Settings.Default.P_MutationProbability),
line.ParseIntOrElse(2, Properties.Settings.Default._SubcubeSize),
rnd));
break;
case "Rotation":
ea.AddOperator(
new SubcubeRotationMutation(
line.ParseDoubleOrElse(1, Properties.Settings.Default.P_MutationProbability),
line.ParseIntOrElse(2, Properties.Settings.Default._SubcubeSize),
rnd));
break;
case "FlipEdge":
ea.AddOperator(
new FlipEdgeMutation(
line.ParseDoubleOrElse(1, Properties.Settings.Default.P_MutationProbability),
line.ParseDoubleOrElse(2, Properties.Settings.Default.P_MutationPerEdgeProbability),
rnd));
break;
// fitness
case "Spanner":
ea.SetFitnessFunction(new SpannerFitness(edgeCount));
logger.Log(Logger.Level.SETTINGS, "Spanner");
task = "spanner";
break;
case "Degree":
ea.SetFitnessFunction(new MaxDegreeFitness(cubeDimension));
logger.Log(Logger.Level.SETTINGS, "MaxDegree");
task = "degree";
break;
case "EdgeDisjoint":
ea.SetFitnessFunction(new EdgeDisjointSpanner(cubeDimension));
logger.Log(Logger.Level.SETTINGS, "EDS");
maxColours = line.ParseIntOrElse(1, cubeDimension / 2);
task = "eds";
break;
default:
break;
}
}
return(ea);
}
/// <summary>
/// GA running method
/// </summary>
/// <returns>best computed individual</returns>
public Individual RunIt()
{
if (!Settings.parallel)
{
Console.WriteLine("Starting run no. " + (number + 1));
Console.WriteLine("Initializing run no. " + (number + 1));
}
Stopwatch sw = Stopwatch.StartNew();
//Set the rng seed
GraphInfo graph = GraphInfo.GetInstance(s.cubeDimension);
Tools tools = Tools.GetInstance(s.cubeDimension);
rng = new Random(number);
logger.Log(s);
ea = s.GetEVA(logger, rng);
foreach (var op in ea.GetOperators())
{
logger.Log(Logger.Level.SETTINGS, op.ToLog());
}
foreach (var se in ea.GetMating())
{
logger.Log(Logger.Level.SETTINGS, se.ToLog() + " MAT");
}
foreach (var se in ea.GetEnvironmental())
{
logger.Log(Logger.Level.SETTINGS, se.ToLog() + " ENV");
}
//Create new population
Population pop = new Population();
pop.SetPopulationSize(s.popSize);
pop.SetSampleIndividual(graph);
pop.CreateRandomInitialPopulation(rng);
if (!Settings.parallel)
{
Console.WriteLine("Finished in {0:f2} seconds", sw.Elapsed.TotalSeconds);
}
logger.Log(Logger.Level.INFO, "Initialization finished in " +
String.Format("{0:f2}", sw.Elapsed.TotalSeconds) + " seconds");
//Run the algorithm
if (!Settings.parallel || number == 0)
{
Console.WriteLine("Running run no. " + (number + 1));
}
try
{
for (int i = 0; i < s.maxGen; i++)
{
sw.Restart();
Program.localDetourSpanners = 0;
//Make one generation
ea.Evolve(pop);
List <Individual> sorted = pop.GetSortedIndividuals();
//Log the best individual to console.
if ((i + 1) % Settings.showGap == 0 && (!Settings.parallel || number == 0))
{
int idx = 0;
while (idx < s.popSize && sorted[idx].Is_3_Spanner(false) < 1)
{
idx++;
}
if (idx >= s.popSize)
{
idx = 0;
}
Console.Write("Gen: " + (i + 1));
Console.Write(" obj: " + sorted[idx].GetObjectiveValue() + " at " + idx);
if (Settings.task == "eds")
{
Console.Write(" tc: " + sorted[idx].GetColourCount());
}
if (Settings.task != "eds")
{
Console.Write(" fit: {0:f0}", sorted[0].GetFitnessValue());
}
else
{
Console.Write(" fit: {0:f3}", sorted[0].GetFitnessValue());
Console.Write(" comps: ");
for (int j = 0; j < Settings.maxColours; j++)
{
Console.Write(sorted[0].CountComponents((byte)(j + 1)));
Console.Write(" ");
}
}
Console.Write(" 3-s: {0:f2} %", (float)(Program.localDetourSpanners * 100.0 / s.popSize));
Console.Write(" avg: {0:f0}", pop.GetAverage());
Console.Write(" med: {0:f0}", sorted[s.popSize / 2].GetFitnessValue());
Console.WriteLine();
}
logger.Log(pop, sorted, i);
for (int j = 0; j < sorted.Count; j++)
{
//Console.WriteLine(sorted[j].ToString());
if (j < s.popSize * s.eliteSize)
{
sorted[j].elite = true;
}
else
{
sorted[j].elite = false;
}
}
}
if (!Settings.parallel)
{
Console.WriteLine();
}
Individual bestInd;
//Console.ReadLine();
for (int j = 0; j < pop.GetPopulationSize(); j++)
{
if ((pop.GetSortedIndividuals()[j]).Is_3_Spanner(false) == 1)
{
bestInd = pop.GetSortedIndividuals()[j];
logger.Log(bestInd);
return(bestInd);
}
}
bestInd = pop.GetSortedIndividuals()[0];
logger.Log(bestInd);
return(bestInd);
}
catch (Exception e)
{
Console.WriteLine(e.StackTrace);
}
return(null);
}