public void GenerateAgent(SpecieType agentType, bool isCrossoverAgent)
{
Agent agent;
if (isCrossoverAgent)
{
if (agents.Count(a => a.Type == agentType) <= 1)
{
GenerateAgent(agentType, false);
return;
}
int indexParent0 = _geneticEvolution.Roulette(agents.Where(a => a.Type == agentType)
.Select(a => a.GetFitness(ApplicationSettings.ScoreForEatingGoodFood, ApplicationSettings.ScoreForEatingBadFood, ApplicationSettings.ScoreForExisting)).ToArray());
int indexParent1 = _geneticEvolution.Roulette(agents.Where(a => a.Type == agentType)
.Select(a => a.GetFitness(ApplicationSettings.ScoreForEatingGoodFood, ApplicationSettings.ScoreForEatingBadFood, ApplicationSettings.ScoreForExisting)).ToArray());
string brainOfAgent0 = agents[indexParent0].GetBrainAsBits();
string brainOfAgent1 = agents[indexParent1].GetBrainAsBits();
string smaller = brainOfAgent0.Length > brainOfAgent1.Length ? brainOfAgent0 : brainOfAgent1;
string bigger = brainOfAgent0.Length < brainOfAgent1.Length ? brainOfAgent0 : brainOfAgent1;
int hiddenNeurons;
if (ApplicationSettings.Random.Next() % 2 == 0)
{//append it
smaller = smaller + bigger.Substring(smaller.Length);
hiddenNeurons = brainOfAgent0.Length > brainOfAgent1.Length ? agents[indexParent0].GetHiddenNeurons() : agents[indexParent1].GetHiddenNeurons();
}
else
{//cut it
bigger = bigger.Substring(0, smaller.Length);
hiddenNeurons = brainOfAgent0.Length < brainOfAgent1.Length ? agents[indexParent0].GetHiddenNeurons() : agents[indexParent1].GetHiddenNeurons();
}
brainOfAgent0 = smaller;
brainOfAgent1 = bigger;
string networkAsBits = _geneticEvolution.Reproduce(brainOfAgent0, brainOfAgent1);
agent = new Agent(new Vector2(ApplicationSettings.Random.Next() % ApplicationSettings.SpawningSpace.Width, ApplicationSettings.Random.Next() % ApplicationSettings.SpawningSpace.Height),
numberOfEyes, hiddenNeurons, agentType, _agentsColor[(int)agentType], agentType == SpecieType.Herbivore ? typeOneEats : typeTwoEats, ApplicationSettings.Random, ApplicationSettings.AgentSettings);
agent.InsertNewBrainAsBits(networkAsBits);
}
else
{
agent = new Agent(new Vector2(ApplicationSettings.Random.Next() % ApplicationSettings.SpawningSpace.Width, ApplicationSettings.Random.Next() % ApplicationSettings.SpawningSpace.Height),
numberOfEyes, 5, agentType, _agentsColor[(int)agentType], agentType == SpecieType.Herbivore ? typeOneEats : typeTwoEats, ApplicationSettings.Random, ApplicationSettings.AgentSettings);
}
agents.Add(agent);
}
public Agent GetRandomRoulleteAgentFromList(List <Agent> agents, SpecieType agentType)
{
int index = _geneticEvolution.Roulette(agents.Where(a => a.Type == agentType)
.Select(a => a.GetFitness(ApplicationSettings.ScoreForEatingGoodFood, ApplicationSettings.ScoreForEatingBadFood, ApplicationSettings.ScoreForExisting)).ToArray());
return(agents[index]);
}