public void measure_novelty()
{
int count = population.Count;
nov.initialize(population);
for (int i = 0; i < count; i++)
{
population[i].locality = 0.0;
population[i].competition = 0.0;
}
double max = 0.0, min = 100000000000.0;
for (int i = 0; i < count; i++)
{
double fit = nov.measureNovelty((NeatGenome.NeatGenome)population[i]);
population[i].objectives[population[i].objectives.Length - 2] = fit + 0.01;
if (fit > max)
{
max = fit;
}
if (fit < min)
{
min = fit;
}
}
Console.WriteLine("nov min: " + min.ToString() + " max:" + max.ToString());
}
/// <summary>
/// JUSTIN: DO NOT USE THIS METHOD
/// IT WAS IN THE ORIGINAL CODEBASE AND IT CAUSED ME 2 WEEKS WORTH OF PROBLEMS. CIRCUMVENTING IT ENTIRELY AND CALCULATING THE NECESSARY OBJECTIVES ELSEWHERE
/// THE NOVELTY PATHWAY IN MULTIOBJECTIVE.CS IS/WAS PRETTY BROKEN..
///
/// I am removing the call to this method, and leaving it here as legacy code
/// </summary>
public void measure_novelty()
{
int count = population.Count;
Console.WriteLine(count + " population members... why is this not 500?");
nov.initialize(population);
Console.WriteLine("IF YOU SEE THIS IN THE OUTPUT, YOU ARE CALLING A BROKEN FUNCTION. DON'T DO THAT.");
Console.WriteLine("IF YOU SEE THIS IN THE OUTPUT, YOU ARE CALLING A BROKEN FUNCTION. DON'T DO THAT.");
Console.WriteLine("IF YOU SEE THIS IN THE OUTPUT, YOU ARE CALLING A BROKEN FUNCTION. DON'T DO THAT.");
Console.WriteLine("IF YOU SEE THIS IN THE OUTPUT, YOU ARE CALLING A BROKEN FUNCTION. DON'T DO THAT.");
Console.WriteLine("IF YOU SEE THIS IN THE OUTPUT, YOU ARE CALLING A BROKEN FUNCTION. DON'T DO THAT.");
Console.WriteLine("IF YOU SEE THIS IN THE OUTPUT, YOU ARE CALLING A BROKEN FUNCTION. DON'T DO THAT.");
Console.WriteLine("IF YOU SEE THIS IN THE OUTPUT, YOU ARE CALLING A BROKEN FUNCTION. DON'T DO THAT.");
Console.WriteLine("IF YOU SEE THIS IN THE OUTPUT, YOU ARE CALLING A BROKEN FUNCTION. DON'T DO THAT.");
Console.WriteLine("IF YOU SEE THIS IN THE OUTPUT, YOU ARE CALLING A BROKEN FUNCTION. DON'T DO THAT.");
Console.WriteLine("IF YOU SEE THIS IN THE OUTPUT, YOU ARE CALLING A BROKEN FUNCTION. DON'T DO THAT.");
for (int i = 0; i < count; i++)
{
population[i].locality = 0.0;
population[i].competition = 0.0;
population[i].localGenomeNovelty = 0.0;
population[i].nearestNeighbors = 0;
}
double max = 0.0, min = 100000000000.0;
for (int i = 0; i < count; i++)
{
double fit = nov.measureNovelty((NeatGenome.NeatGenome)population[i]);
population[i].objectives[population[i].objectives.Length - 2] = fit + 0.01; // Novelty Objective
population[i].objectives[population[i].objectives.Length - 1] = population[i].localGenomeNovelty / population[i].nearestNeighbors; // Local Genetic Diversity Objective
population[i].objectives[population[i].objectives.Length - 3] = population[i].competition / population[i].nearestNeighbors; // Local Competition Objective
//Console.WriteLine("localGenomeNovelty: " + population[i].localGenomeNovelty + " competition: " + population[i].competition);
Console.Write("THERE ARE " + population[i].objectives.Length + " OBJECTIVES: "); //JUSTIN: DEBUG - REMOVE THIS
foreach (double d in population[i].objectives)
{
Console.Write(d + " "); //JUSTIN: DEBUG - REMOVE THIS
}
Console.WriteLine(); //JUSTIN: DEBUG - REMOVE THIS
if (fit > max)
{
max = fit;
}
if (fit < min)
{
min = fit;
}
}
Console.WriteLine("nov min: " + min.ToString() + " max:" + max.ToString());
}
public void measure_novelty()
{
int count = population.Count;
nov.initialize(population);
for (int i = 0; i < count; i++)
{
population[i].locality = 0.0;
population[i].competition = 0.0;
}
NeatGenome.NeatGenome ng;
double max = 0.0, min = 100000000000.0;
for (int i = 0; i < count; i++)
{
ng = (NeatGenome.NeatGenome)population[i];
double fit = nov.measureNovelty(ng);
//reset our fitness value to be local, yeah boyee
ng.objectives[0] = ng.competition / ng.nearestNeighbors;
ng.objectives[ng.objectives.Length - 2] = fit + 0.01;
Console.WriteLine("Genomic Novelty: " + ng.objectives[ng.objectives.Length - 1] + " After: " + ng.localGenomeNovelty / ng.nearestNeighbors);
//this makes genomic novelty into a local measure
ng.objectives[ng.objectives.Length - 1] = ng.localGenomeNovelty / ng.nearestNeighbors;
if (fit > max)
{
max = fit;
}
if (fit < min)
{
min = fit;
}
}
Console.WriteLine("nov min: " + min.ToString() + " max:" + max.ToString());
}
/// <summary>
/// Default Constructor.
/// </summary>
public EvolutionAlgorithm(Population pop, IPopulationEvaluator populationEvaluator, NeatParameters neatParameters)
{
this.pop = pop;
this.populationEvaluator = populationEvaluator;
this.neatParameters = neatParameters;
neatParameters_Normal = neatParameters;
neatParameters_PrunePhase = new NeatParameters(neatParameters);
neatParameters_PrunePhase.pMutateAddConnection = 0.0;
neatParameters_PrunePhase.pMutateAddNode = 0.0;
neatParameters_PrunePhase.pMutateAddModule = 0.0;
neatParameters_PrunePhase.pMutateConnectionWeights = 0.33;
neatParameters_PrunePhase.pMutateDeleteConnection = 0.33;
neatParameters_PrunePhase.pMutateDeleteSimpleNeuron = 0.33;
// Disable all crossover as this has a tendency to increase complexity, which is precisely what
// we don't want during a pruning phase.
neatParameters_PrunePhase.pOffspringAsexual = 1.0;
neatParameters_PrunePhase.pOffspringSexual = 0.0;
if(neatParameters.multiobjective) {
this.multiobjective=new Multiobjective.Multiobjective(neatParameters);
neatParameters.compatibilityThreshold=100000000.0; //disable speciation w/ multiobjective
}
if(neatParameters.noveltySearch)
{
if(neatParameters.noveltyHistogram)
{
this.noveltyFixed = new noveltyfixed(neatParameters.archiveThreshold);
this.histogram = new noveltyhistogram(neatParameters.histogramBins);
noveltyInitialized=true;
InitialisePopulation();
}
if(neatParameters.noveltyFixed || neatParameters.noveltyFloat)
{
this.noveltyFixed = new noveltyfixed(neatParameters.archiveThreshold);
InitialisePopulation();
noveltyFixed.initialize(this.pop);
noveltyInitialized=true;
populationEvaluator.EvaluatePopulation(pop, this);
UpdateFitnessStats();
DetermineSpeciesTargetSize();
}
}
else
{
InitialisePopulation();
}
}
/// <summary>
/// Default Constructor.
/// </summary>
public EvolutionAlgorithm(Population pop, IPopulationEvaluator populationEvaluator, NeatParameters neatParameters)
{
this.pop = pop;
this.populationEvaluator = populationEvaluator;
this.neatParameters = neatParameters;
neatParameters_Normal = neatParameters;
neatParameters_PrunePhase = new NeatParameters(neatParameters);
neatParameters_PrunePhase.pMutateAddConnection = 0.0;
neatParameters_PrunePhase.pMutateAddNode = 0.0;
neatParameters_PrunePhase.pMutateAddModule = 0.0;
neatParameters_PrunePhase.pMutateConnectionWeights = 0.33;
neatParameters_PrunePhase.pMutateDeleteConnection = 0.33;
neatParameters_PrunePhase.pMutateDeleteSimpleNeuron = 0.33;
// Disable all crossover as this has a tendency to increase complexity, which is precisely what
// we don't want during a pruning phase.
neatParameters_PrunePhase.pOffspringAsexual = 1.0;
neatParameters_PrunePhase.pOffspringSexual = 0.0;
if (neatParameters.mapelites)
{
meInitialisePopulation();
meGridInit(pop);
Console.WriteLine("Mapelites stuff has been initialized. Oh btw, we're doing mapelites.");
if (neatParameters.me_simpleGeneticDiversity)
{
Console.WriteLine("Mapelites reinforced by the power of 51MPLE gENET1C d1VER51TY!!!!1 *fireworks* *applause* *receive phd*");
}
if (neatParameters.me_noveltyPressure)
{
Console.WriteLine("Mapelites now with NOVELTY PRESSURE! (>'')>");
}
} // Skip all that other stupid shit if we are doing MapElites
else if (neatParameters.NS2)
{
if (neatParameters.NS1) ns1 = true;
ns2InitializePopulation();
if (neatParameters.track_me_grid)
{
Console.WriteLine("Initializing mapelites-style-grid genome tracking..");
meGridInit(pop);
}
Console.WriteLine("Novelty Search 2.0 has been initialized.");
} // Skip the code jungle below if we are doing Novelty Search 2.0
else if (neatParameters.NSLC) // (Steady-State NSLC -- NEW!!)
{
// TODO: JUSTIN: SS-NSLC GOES HERE!
ns1 = true;
ns2InitializePopulation();
if (neatParameters.track_me_grid)
{
Console.WriteLine("Initializing mapelites-style-grid genome tracking..");
meGridInit(pop);
}
Console.WriteLine("Initializing STEADY STATE -- NSLC! NEW! This is a thing that is happening now. You cannot stop it. Relax.");
// TODO: INITIALIZATION for SS-NSLC (is like NS1... but make it separate so we can stop being so intertwined. cleaner is better, yo)
} // Skip the nasty quagmire of unverified bogus rotten banana sandwiches if doing Steady-State NSLC
else
{
if (neatParameters.multiobjective)
{
this.multiobjective = new Multiobjective.Multiobjective(neatParameters);
neatParameters.compatibilityThreshold = 100000000.0; //disable speciation w/ multiobjective
}
if (neatParameters.noveltySearch)
{
if (neatParameters.noveltyHistogram)
{
this.noveltyFixed = new noveltyfixed(neatParameters.archiveThreshold);
this.histogram = new noveltyhistogram(neatParameters.histogramBins);
noveltyInitialized = true;
InitialisePopulation();
}
if (neatParameters.noveltyFixed || neatParameters.noveltyFloat)
{
this.noveltyFixed = new noveltyfixed(neatParameters.archiveThreshold);
InitialisePopulation();
noveltyFixed.initialize(this.pop);
noveltyInitialized = true;
populationEvaluator.EvaluatePopulation(pop, this);
UpdateFitnessStats();
DetermineSpeciesTargetSize();
}
if (neatParameters.track_me_grid)
{
Console.WriteLine("Initializing mapelites-style-grid genome tracking..");
meGridInit(pop); // JUSTIN: Trying to add grid-tracking to NS1
}
}
else
{
InitialisePopulation();
if (neatParameters.track_me_grid)
{
Console.WriteLine("Initializing mapelites-style-grid genome tracking..");
meGridInit(pop); // JUSTIN: Trying to add grid-tracking to fitness-based search
}
}
}
}
