//Not doing gene crossover, but rather asexual reproduction
public BloopDNA[] Crossover(BloopDNA bloopDNA)
{
BloopDNA[] bloopDNACrossover = new BloopDNA[2];
/*
* The general idea of gene crossover for these creatures
* Gene = node_1, node_1_Data, node_1_#_of_Muscles, node_1_Muscle_Conn_Incidies_X, node_1_Muscle_X_minDist, node_1_Muscle_X_maxDist, node_1_Muscle_X_damp, node_1_Muscle_X_freq
* Example:
* Node A is connected to B, Node B is not connected to A.
* Node A Data: [X: 1f, Y: 2f, Friction: 0.5f, Bouncyness: 0.1f]
* Node A - B Muscle Data: [minDist: 0.5f, maxDist: 1f, Damp: 0.25f, Freq: 2.5f]
* Node B Data: [X: 0f, Y: 1f, Friction: 1f, Bouncyness: 0f]
* __________________ _____________________ ______________
* Gene = [1f, 2f, 0.5f, 0.1f, 0.5f, 1f, 0.25f, 2.5f, 0f, 1f, 1f, 0f]
* ------------------ --------------------- --------------
* Muscle A data A-B connection data Muscle B data
*
#ofNodes
#OfMuscles = Σ(#ofMusclesOfNode[i])
* i=1
*
* Total gene size = (#ofNodes + #OfMuscles)*4
*/
int thisBloopGeneSize = (numberOfNodes + numberOfMuscles) * 4;
int nodeCrossoverPoint = Random.Range(0, numberOfNodes);
return(bloopDNACrossover);
}
public void Activate()
{
bloopDNA = new BloopDNA();
bloopDNA.GenerateRandomBloopDNA();
timeToLive = 10f; //15
CreateCreatureFromDNA();
}
public void Activate()
{
bloopDNA = new BloopDNA();
bloopDNA.GenerateRandomBloopDNA();
timeToLive = 10f; //15
CreateCreatureFromDNA();
}
public BloopDNA CopyDNA()
{
BloopDNA newDNA = new BloopDNA(numberOfNodes,
multiNodeMuscularConnectionIndices,
multiNodeMuscularData,
nodeData,
numberOfMuscles,
fitness);
return(newDNA);
}
public BloopDNA[] AsexualReproduce()
{
BloopDNA[] bloopDNACrossover = new BloopDNA[2];
bloopDNACrossover[0] = this.CopyDNA();
bloopDNACrossover[1] = this.CopyDNA();
if (Random.Range(0, 100) <= 5)
{
bloopDNACrossover[0].Mutate();
}
bloopDNACrossover[1].Mutate();
bloopDNACrossover[0].parentSpecieName = speciesName;
bloopDNACrossover[1].parentSpecieName = speciesName;
return(bloopDNACrossover);
}
public void UpdateCounter(BloopDNA bloopDNA)
{
lock (mutex)
{
creatureFinishedCounter++;
//Debug.Log(creatureFinishedCounter);
if (generationNumber == 1)
{
bloopDNAList.Add(bloopDNA);
}
if (creatureFinishedCounter == creaturesPerGeneration)
{
Breed();
}
else if (creatureFinishedCounter % numberOfCreaturesPerRun == 0)
{
if (generationNumber == 1)
{
for (int i = creatureFinishedCounter; i < (creatureFinishedCounter + numberOfCreaturesPerRun); i++)
{
bloopCreatures[i] = (GameObject)Instantiate(bloopCreaturePrefab);
bloopCreatures[i].transform.parent = transform;
bloopCreatures[i].SendMessage("Activate");
}
}
else
{
for (int i = creatureFinishedCounter; i < (creatureFinishedCounter + numberOfCreaturesPerRun); i++)
{
bloopCreatures[i] = (GameObject)Instantiate(bloopCreaturePrefab);
bloopCreatures[i].transform.parent = transform;
bloopCreatures[i].SendMessage("ActivateWithDNA", bloopDNAList[i]);
}
}
}
}
}
public BloopData()
{
bloopDNA = new BloopDNA();
bloopDNA.GenerateRandomBloopDNA();
}
public BloopData()
{
bloopDNA = new BloopDNA();
bloopDNA.GenerateRandomBloopDNA();
}
public void ActivateWithDNAForever(BloopDNA dna)
{
bloopDNA = dna;
timeToLive = 1000f;
CreateCreatureFromDNA();
}
public void ActivateWithDNA(BloopDNA dna)
{
bloopDNA = dna;
timeToLive = 10f; //15
CreateCreatureFromDNA();
}
public void UpdateCounter(BloopDNA bloopDNA)
{
lock (mutex)
{
creatureFinishedCounter++;
//Debug.Log(creatureFinishedCounter);
if(generationNumber == 1)
bloopDNAList.Add(bloopDNA);
if (creatureFinishedCounter == creaturesPerGeneration)
{
Breed();
}
else if (creatureFinishedCounter % numberOfCreaturesPerRun == 0)
{
if (generationNumber == 1)
{
for (int i = creatureFinishedCounter; i < (creatureFinishedCounter + numberOfCreaturesPerRun); i++)
{
bloopCreatures[i] = (GameObject)Instantiate(bloopCreaturePrefab);
bloopCreatures[i].transform.parent = transform;
bloopCreatures[i].SendMessage("Activate");
}
}
else
{
for (int i = creatureFinishedCounter; i < (creatureFinishedCounter + numberOfCreaturesPerRun); i++)
{
bloopCreatures[i] = (GameObject)Instantiate(bloopCreaturePrefab);
bloopCreatures[i].transform.parent = transform;
bloopCreatures[i].SendMessage("ActivateWithDNA", bloopDNAList[i]);
}
}
}
}
}
public BloopDNA[] AsexualReproduce()
{
BloopDNA[] bloopDNACrossover = new BloopDNA[2];
bloopDNACrossover[0] = this.CopyDNA();
bloopDNACrossover[1] = this.CopyDNA();
if(Random.Range(0,100)<=5)
bloopDNACrossover[0].Mutate();
bloopDNACrossover[1].Mutate();
bloopDNACrossover[0].parentSpecieName = speciesName;
bloopDNACrossover[1].parentSpecieName = speciesName;
return bloopDNACrossover;
}
//Not doing gene crossover, but rather asexual reproduction
public BloopDNA[] Crossover(BloopDNA bloopDNA)
{
BloopDNA[] bloopDNACrossover = new BloopDNA[2];
/*
The general idea of gene crossover for these creatures
Gene = node_1, node_1_Data, node_1_#_of_Muscles, node_1_Muscle_Conn_Incidies_X, node_1_Muscle_X_minDist, node_1_Muscle_X_maxDist, node_1_Muscle_X_damp, node_1_Muscle_X_freq
Example:
Node A is connected to B, Node B is not connected to A.
Node A Data: [X: 1f, Y: 2f, Friction: 0.5f, Bouncyness: 0.1f]
Node A - B Muscle Data: [minDist: 0.5f, maxDist: 1f, Damp: 0.25f, Freq: 2.5f]
Node B Data: [X: 0f, Y: 1f, Friction: 1f, Bouncyness: 0f]
__________________ _____________________ ______________
Gene = [1f, 2f, 0.5f, 0.1f, 0.5f, 1f, 0.25f, 2.5f, 0f, 1f, 1f, 0f]
------------------ --------------------- --------------
Muscle A data A-B connection data Muscle B data
#ofNodes
#OfMuscles = Σ(#ofMusclesOfNode[i])
i=1
Total gene size = (#ofNodes + #OfMuscles)*4
*/
int thisBloopGeneSize = (numberOfNodes + numberOfMuscles)*4;
int nodeCrossoverPoint = Random.Range(0,numberOfNodes);
return bloopDNACrossover;
}
public BloopDNA CopyDNA()
{
BloopDNA newDNA = new BloopDNA(numberOfNodes,
multiNodeMuscularConnectionIndices,
multiNodeMuscularData,
nodeData,
numberOfMuscles,
fitness);
return newDNA;
}
public void ActivateWithDNA(BloopDNA dna)
{
bloopDNA = dna;
timeToLive = 10f; //15
CreateCreatureFromDNA();
}
public void ActivateWithDNAForever(BloopDNA dna)
{
bloopDNA = dna;
timeToLive = 1000f;
CreateCreatureFromDNA();
}
