/// <summary>
/// Construct a new population of chromosomes using sliders and genepools
/// </summary>
/// <param name="popSize"></param>
/// <param name="sliders"></param>
/// <param name="genePools"></param>
public Population(int popSize, List <GH_NumberSlider> sliders, List <GalapagosGeneListObject> genePools, BiomorpherComponent Owner, int runType)
{
owner = Owner;
chromosomes = new Chromosome[popSize];
popSliders = new List <GH_NumberSlider>(sliders);
popGenePools = new List <GalapagosGeneListObject>(genePools);
for (int i = 0; i < chromosomes.Length; i++)
{
chromosomes[i] = new Chromosome(popSliders, popGenePools);
}
// Random, Initial or Current population
switch (runType)
{
case 0:
GenerateRandomPop();
break;
case 1:
GenerateCurrentPop();
JigglePop(0.001);
break;
default:
break;
}
}
/// <summary>
/// Creates a value copy of the population's chomosomes and genes
/// </summary>
/// <param name="pop"></param>
public Population(Population pop)
{
// declare a new set of chromosomes of the same length
chromosomes = new Chromosome[pop.chromosomes.Length];
// copy the data, including all chromosome information.
for (int i = 0; i < chromosomes.Length; i++)
{
chromosomes[i] = pop.chromosomes[i].Clone();
}
// clone the slider and genepool pointers
popSliders = new List <GH_NumberSlider>(pop.popSliders);
popGenePools = new List <GalapagosGeneListObject>(pop.popGenePools);
Performance_Averages = new List <double>(pop.Performance_Averages);
// clone the owner
owner = pop.owner;
}
/// <summary>
/// Construct a new population of chromosomes using sliders and genepools
/// </summary>
/// <param name="popSize"></param>
/// <param name="sliders"></param>
/// <param name="genePools"></param>
public Population(int popSize, List <GH_NumberSlider> sliders, List <GalapagosGeneListObject> genePools, BiomorpherComponent Owner, int runType)
{
owner = Owner;
chromosomes = new Chromosome[popSize];
popSliders = new List <GH_NumberSlider>(sliders);
popGenePools = new List <GalapagosGeneListObject>(genePools);
for (int i = 0; i < chromosomes.Length; i++)
{
chromosomes[i] = new Chromosome(popSliders, popGenePools, i);
}
// Random, Initial or Current population
switch (runType)
{
case 0:
GenerateRandomPop();
break;
case 1:
bool isExisting = false;
GH_Structure <GH_Number> tree = owner.existingPopTree;
if (tree != null && tree.Branches.Count == popSize)
{
if (tree.Branches[0].Count == chromosomes[0].GetGenes().Length)
{
isExisting = true;
}
owner.AddWarning("Current popuation size, wrong gene size");
}
if (isExisting)
{
for (int i = 0; i < tree.Branches.Count; i++)
{
// Set up a feature vector of doubles
List <double> featureVector = new List <double>();
for (int j = 0; j < tree.get_Branch(i).Count; j++)
{
double myDouble;
GH_Convert.ToDouble(tree.get_Branch(i)[j], out myDouble, GH_Conversion.Primary);
featureVector.Add(myDouble);
}
chromosomes[i] = new Chromosome(popSliders, popGenePools, i);
chromosomes[i].GenerateExistingGenes(featureVector);
}
}
else
{
GenerateCurrentPop();
JigglePop(0.001);
owner.AddWarning("existing population data must be same structure as population and gene count; Current parameter state substituted.");
}
break;
case 2:
GenerateCurrentPop();
JigglePop(0.001);
break;
default:
break;
}
}
