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());
}
