Population::Population(const char *a_FileName)
{
m_BestFitnessEver = 0.0;
m_Generation = 0;
m_NumEvaluations = 0;
m_NextSpeciesID = 1;
m_GensSinceBestFitnessLastChanged = 0;
m_GensSinceMPCLastChanged = 0;
std::ifstream t_DataFile(a_FileName);
if (!t_DataFile.is_open())
throw std::exception();
std::string t_str;
// Load the parameters
m_Parameters.Load(t_DataFile);
// Load the innovation database
m_InnovationDatabase.Init(t_DataFile);
// Load all genomes
for(unsigned int i=0; i<m_Parameters.PopulationSize; i++)
{
Genome t_genome(t_DataFile);
m_Genomes.push_back( t_genome );
}
t_DataFile.close();
m_NextGenomeID = 0;
for(unsigned int i=0; i<m_Genomes.size(); i++)
{
if (m_Genomes[i].GetID() > m_NextGenomeID)
{
m_NextGenomeID = m_Genomes[i].GetID();
}
}
m_NextGenomeID++;
// Initialize
Speciate();
m_BestGenome = m_Species[0].GetLeader();
Sort();
// Set up the phased search variables
CalculateMPC();
m_BaseMPC = m_CurrentMPC;
m_OldMPC = m_BaseMPC;
if (m_Parameters.PhasedSearching)
{
m_SearchMode = COMPLEXIFYING;
}
else
{
m_SearchMode = BLENDED;
}
}
// The constructor
Population::Population(const Genome& a_Seed, const Parameters& a_Parameters, bool a_RandomizeWeights, double a_RandomizationRange)
{
m_RNG.TimeSeed();
//m_RNG.Seed(0);
m_BestFitnessEver = 0.0;
m_Parameters = a_Parameters;
m_Generation = 0;
m_NumEvaluations = 0;
m_NextGenomeID = m_Parameters.PopulationSize;
m_NextSpeciesID = 1;
m_GensSinceBestFitnessLastChanged = 0;
m_GensSinceMPCLastChanged = 0;
// Spawn the population
for(unsigned int i=0; i<m_Parameters.PopulationSize; i++)
{
Genome t_clone = a_Seed;
t_clone.SetID(i);
m_Genomes.push_back( t_clone );
}
// Now now initialize each genome's weights
for(unsigned int i=0; i<m_Genomes.size(); i++)
{
if (a_RandomizeWeights)
m_Genomes[i].Randomize_LinkWeights(a_RandomizationRange, m_RNG);
//m_Genomes[i].CalculateDepth();
}
// Initialize the innovation database
m_InnovationDatabase.Init(a_Seed);
// Speciate
Speciate();
m_BestGenome = m_Species[0].GetLeader();
Sort();
// Set up the phased search variables
CalculateMPC();
m_BaseMPC = m_CurrentMPC;
m_OldMPC = m_BaseMPC;
if (m_Parameters.PhasedSearching)
{
m_SearchMode = COMPLEXIFYING;
}
else
{
m_SearchMode = BLENDED;
}
}
Population::Population(const char *a_FileName)
{
m_BestFitnessEver = 0.0;
m_Generation = 0;
m_NumEvaluations = 0;
m_NextSpeciesID = 1;
m_GensSinceBestFitnessLastChanged = 0;
m_GensSinceMPCLastChanged = 0;
std::ifstream t_DataFile(a_FileName);
if (!t_DataFile.is_open())
throw std::exception();
std::string t_str;
// Load the parameters
m_Parameters.Load(t_DataFile);
// Load the innovation database
m_InnovationDatabase.Init(t_DataFile);
// Load all genomes
/*for(unsigned int i=0; i<m_Parameters.PopulationSize; i++)
{
Genome t_genome(t_DataFile);
m_Genomes.push_back( t_genome );
}*/
// Fix a bug where populations with more than PopulationSize genomes wouldn't get parsed correctly
while(t_DataFile.peek() != EOF)
{
streampos sp = t_DataFile.tellg();
string line;
t_DataFile >> line;
if (line == "GenomeStart") {
t_DataFile.seekg(sp);
Genome t_genome(t_DataFile);
m_Genomes.push_back( t_genome );
}
}
t_DataFile.close();
m_NextGenomeID = 0;
for(unsigned int i=0; i<m_Genomes.size(); i++)
{
if (m_Genomes[i].GetID() > m_NextGenomeID)
{
m_NextGenomeID = m_Genomes[i].GetID();
}
}
m_NextGenomeID++;
// Initialize
Speciate();
m_BestGenome = m_Species[0].GetLeader();
Sort();
// Set up the phased search variables
CalculateMPC();
m_BaseMPC = m_CurrentMPC;
m_OldMPC = m_BaseMPC;
if (m_Parameters.PhasedSearching)
{
m_SearchMode = COMPLEXIFYING;
}
else
{
m_SearchMode = BLENDED;
}
}
