public static NetworkActorGenes GenerateRandomRepresentative(Random random)
{
var representative = new NetworkActorGenes();
//TODO: so many magic numbers
//Facade
const double average = 12.0 / 48.0;
var facadeHeatMap = new List <double>();
for (var i = 0; i < 48; i++)
{
//If everyone has the item we still want less that 100% chance. Same for 0%
facadeHeatMap.Add(average);
}
//Layers
var hiddenLayers = new List <double>();
for (int i = MinHiddenLayers; i < MaxHiddenLayers; i++)
{
//Everyone should have at least a little chance
hiddenLayers.Add(i);
}
//Neurons
//TODO: Redo this - each option should have it's own weight, weighted answer comes from the chance a ranomd number hits and instance of a given number
var hiddenNeurons = new List <List <double> >();
for (var i = 0; i < MaxHiddenLayers; i++)
{
var hiddenNeuronsInLayer = new List <double>();
for (var j = 0; j < MaxHiddenNeurons; j++)
{
//Everyone should have at least a little chance
hiddenNeuronsInLayer.Add(j);
}
hiddenNeurons.Add(hiddenNeuronsInLayer);
}
//Return
representative._random = random;
representative.Facade = facadeHeatMap;
representative.HiddenLayers = hiddenLayers;
representative.HiddenNeurons = hiddenNeurons;
return(representative);
}
public static NetworkActorGenes GenerateRepresentative(List <NetworkActor> actors, Random random)
{
var representative = new NetworkActorGenes();
if (actors == null || actors.Count == 0)
{
return(representative);
}
var actorsSize = actors.Count;
//Facade
var maskSize = actors[0].Facade.GetMask().Count;
var average = (actors.Sum(a => a.Facade.Count) * 1.0) / (actors.Sum(a => a.Facade.GetMask().Count) * 1.0);
var relativeValue = average / (actorsSize + 2.0);
var facadeHeatMap = new List <double>();
for (var i = 0; i < maskSize; i++)
{
//If everyone has the item we still want less that 100% chance. Same for 0%
facadeHeatMap.Add(relativeValue * (0.0 + 1.0 + actors.Count(a => a.Facade.GetMask()[i])));
}
//Layers
var hiddenLayers = new List <double>();
for (int i = MinHiddenLayers; i < MaxHiddenLayers; i++)
{
//Everyone should have at least a little chance
hiddenLayers.Add(i);
var count = actors.Count(a => a.Network.HLayers.Count == i);
for (var j = 0; j < count; j++)
{
hiddenLayers.Add(i);
}
}
//Neurons
//TODO Redo this - each option should have it's own weight, weighted answer comes from the chance a ranomd number hits and instance of a given number
var hiddenNeurons = new List <List <double> >();
for (var i = MinHiddenLayers; i < MaxHiddenLayers; i++)
{
var hiddenNeuronsInLayer = new List <double>();
for (var j = MinHiddenNeurons; j < MaxHiddenNeurons; j++)
{
//Everyone should have at least a little chance
hiddenNeuronsInLayer.Add(j);
var count = actors.Count(a => a.Network.HLayers.Count > i && a.Network.HLayers[i].Count == j);
for (var k = 0; k < count; k++)
{
hiddenNeuronsInLayer.Add(i);
}
}
hiddenNeurons.Add(hiddenNeuronsInLayer);
}
//Return
representative._random = random;
representative.Facade = facadeHeatMap;
representative.HiddenLayers = hiddenLayers;
representative.HiddenNeurons = hiddenNeurons;
return(representative);
}
