public void ShouldMutateIndividual()
{
var sut = new Mutator <int>(new RandonInvididualGenesPoint(3));
var mutated = sut.Mutate(new List <int[]>()
{
new int[] { 1, 2, 3, 4 }
}, 1);
IndividualUtils.AssertIndividualEqual(new int[] { 3, 2, 1, 4 }, mutated.First());
}
public void ShouldGetParentBIfSize0()
{
var sut = new DavisOrderCrossOver <int>(new DefinedPointSelector(new int[] { 2, 0 }));
var parents = new List <int[]> {
new [] { 1, 2, 3, 4, 5, 6 },
new [] { 3, 6, 5, 2, 1, 4 },
};
var offspring = sut.Cross(parents);
IndividualUtils.AssertIndividualEqual(offspring.First(), new [] { 3, 6, 5, 2, 1, 4 });
}
//
public override void assignWeaponToTarget(GameObject[] Weapons, GameObject[] Targets)
{
if (Targets.Length <= 0)
{
return;
}
//if (running)
// return;
Population population = new Population(50, Weapons, Targets, true);
float maxRedInit = population.getFittest().getFitNess();
float currentRed = maxRedInit;
float precRed = 0.0f;
bool optimum = false;
int nIter = 0;
m_InitialFitness = maxRedInit;
//m_CurrentFitness = m_InitialFitness;
////////////// iteration /////////////
//population = evolvePopulation(population, Targets.Length);
m_CurrentFitness = population.getFittest().getFitNess();
//m_CurrentFitness = 0.0f;
/*while ( currentRed >= precRed)
* {
* precRed = currentRed;
* population = evolvePopulation(population,Targets.Length);
* currentRed = population.getFittest().getFitNess();
* nIter++;
* m_CurrentTimeExecution -= Time.deltaTime; ;
* if (m_CurrentTimeExecution <=0.0f)
* {
* m_CurrentTimeExecution = m_TimeExecution;
* break;
* }
* }*/
//m_CurrentFitness = currentRed;
//if (nIter <= 5)
// optimum = true;
//if (optimum)
IndividualUtils.assignWeaponToTarget(population.getFittest(), Weapons, Targets);
running = true;
}
public void assignWeaponToTarget(GameObject[] Weapons, GameObject[] Targets, Team team)
{
if (Targets.Length <= 0)
{
return;
}
//if (running)
// return;
Population population = new Population(50, Weapons, Targets, true, team);
float maxRedInit = population.getFittest().getFitNess();
float currentRed = maxRedInit;
float precRed = 0.0f;
bool optimum = false;
int nIter = 0;
m_InitialFitness = maxRedInit;
m_CurrentFitness = population.getFittest().getFitNess();
IndividualUtils.assignWeaponToTarget(population.getFittest(), Weapons, Targets);
running = true;
}
// Calculate inidividuals fittness by comparing it to our candidate solution
public static float getFitness(Individual individual, GameObject[] Weapons, GameObject[] Targets)
{
float fitness = 1.0f;
float[] H = new float[Targets.Length];
float[] hl = new float[Targets.Length];
FitnessCalculator.getIndividualHealth(individual, Targets, ref H, ref hl);
// Loop through our individuals genes and compare them to our cadidates
for (int i = 0; i < individual.getSize(); i++)
{
GameObject ally = Weapons[i];
TargetSystem targetSystem = ally.GetComponent <TargetSystem>();
float dmg = ally.GetComponent <TankShooting>().damage;
float minValue = 100000;
int allocated = -1;
// target index
int indTarget = individual.getSolution(i);
GameObject ennemy = Targets[indTarget];
if (hl[indTarget] <= 0.0f)
{
continue;
}
float reduct = 1 - (hl[indTarget] - dmg) / hl[indTarget];
// update health left
hl[indTarget] -= dmg;
if (hl[indTarget] <= 0.0f)
{
hl[indTarget] = 0.0f;
}
// add reduction to fitness
// fitness+=reduct;
}
for (int i = 0; i < Targets.Length; i++)
{
if (!IndividualUtils.isTargetExitsInSolution(i, individual))
{
continue;
}
float reduction = 1.0f - (hl[i] / H[i]);
fitness *= reduction;
}
//for (int i = 0; i < individual.getSize(); i++)
//{
// int indTarget = individual.getSolution(i);
// GameObject ennemy = Targets[indTarget];
// if (hl[indTarget] <= 0.0f)
// continue;
// float reduction = 1.0f - (hl[i] / H[i]);
// fitness *= reduction;
//}
/*if (fitness < 0.000001f)
* fitness = 0.000001f;*/
return(fitness);
}
