public int[,] Mutation(Initializer initializer)
{
Random rand = new Random();
double mutationRate = (GetMutationRate() * 100);
int[,] world = initializer.GetPopulation();
int population = initializer.GetPopulationSize();
int length = initializer.GetGenomeLength();
for (int i = 0; i < population; i++)
{
for (int j = 0; j < length; j++)
{
if (rand.Next(0, 101) <= mutationRate)
{
if (world[i, j] == 0)
{
world[i, j] = 1;
}
else
{
world[i, j] = 0;
}
}
}
}
return(world);
}
public static int[,] RouletteWheel(Initializer initializer, int totalPoints)
{
Random rand = new Random();
var populationSize = initializer.GetPopulationSize();
var sampleLength = initializer.GetGenomeLength();
int[,] currentPopulation = initializer.GetPopulation();
int[,] chosenPopulation = new int [populationSize, sampleLength + 1];
var target = 0;
var found = false;
var index = 0;
var indexPoints = 0;
//Until Chosen Population is complete
for (var i = 0; i < populationSize; i++)
{
//Total Points is Roulette Wheel
target = rand.Next(totalPoints);
index = 0;
indexPoints = 0;
found = false;
//Console.WriteLine("Target is " + target);
Thread.Sleep(38);
while (index < populationSize && found == false)
{
indexPoints = indexPoints + currentPopulation[index, sampleLength];
if (target <= indexPoints)
{
//Sample selected for evolution
for (int j = 0; j < sampleLength; j++)
{
chosenPopulation[i, j] = currentPopulation[index, j];
}
found = true;
}
else
{
index++;
}
}
}
return(chosenPopulation);
}
//Every Pair is a Parent
public int[,] UniformCrossover(Initializer initializer)
{
var length = initializer.GetGenomeLength();
var population = initializer.GetPopulationSize();
int [,] world = initializer.GetPopulation();
for (var i = 0; i < (population - 1); i = i + 2)
{
for (var j = 0; j < length; j++)
{
Thread.Sleep(15);
if (rand.Next(2) == 1)
{
_temp = world[i, j];
world[i, j] = world[i + 1, j];
world[i + 1, j] = _temp;
}
}
}
return(world);
}
public int[,] SinglePointCrossover(Initializer initializer)
{
var length = initializer.GetGenomeLength();
var population = initializer.GetPopulationSize();
int [,] world = initializer.GetPopulation();
var point = 0;
//Every Pair is a Parent
for (var i = 0; i < (population - 1); i = i + 2)
{
Thread.Sleep(15);
point = rand.Next(length);
for (var j = 0; j < point; j++)
{
_temp = world[i, j];
world[i, j] = world[i + 1, j];
world[i + 1, j] = _temp;
}
}
return(world);
}
public static void Main(string[] args)
{
var optionsNo = 0;
Console.WriteLine("*****START*******");
Console.WriteLine();
Initializer initializer = new Initializer();
Fitness fitness = new Fitness();
Selector selector = new Selector();
Crossover crossover = new Crossover();
StartUp();
while (optionsNo != 9)
{
switch (DisplayMenu())
{
case 1:
Console.WriteLine("GENERATION 1");
initializer.DisplayPopulation(initializer.GetPopulation(), fitness);
break;
case 2:
FullCycle();
break;
case 3:
fitness.SetFitnessMethod();
initializer.DisplayPopulation(initializer.GetPopulation(), fitness);
Wait();
break;
case 8:
initializer.CreatePopulation();
initializer.DisplayPopulation(initializer.GetPopulation(), fitness);
Wait();
break;
case 9:
Console.WriteLine("This Program is over. Bye!");
break;
default:
Console.WriteLine("Try Again!");
break;
}
}
void StartUp()
{
initializer.CreatePopulation();
fitness.SetFitnessMethod();
initializer.DisplayPopulation(initializer.GetPopulation(), fitness);
Wait();
}
int DisplayMenu()
{
Console.WriteLine();
Console.WriteLine("OPTIONS: ");
Console.WriteLine("------------------");
Console.WriteLine("1- Display Population");
Console.WriteLine("2- Full Cycle");
Console.WriteLine("3- Change Fitness Function");
Console.WriteLine("8- Re-Initiation");
Console.WriteLine("9- Exit");
Console.WriteLine();
optionsNo = initializer.CheckIntegerInput("Please Select an Option:");
return(optionsNo);
}
void Wait()
{
Console.WriteLine();
Console.WriteLine("Next...");
Console.ReadLine();
}
void FullCycle()
{
//Set Up Generation Cycle and Parameters
var isPhaseSkip = false;
var isFound = false;
var inputNo = 0;
initializer.ResetStats();
selector.SetNoOfCycles();
selector.SetSelectionType();
crossover.SetCrossoverMethod();
selector.SetMutationRate();
while (isFound == false)
{
Console.WriteLine("Would you like to skip the individual steps on each generations (Selection, Mutation, etc) and just the final results of each generation ? ");
Console.WriteLine("1 - Yes");
Console.WriteLine("2 - No");
inputNo = initializer.CheckIntegerInput();
if (inputNo == 1 || inputNo == 0)
{
isFound = true;
if (inputNo == 1)
{
isPhaseSkip = true;
}
}
else
{
Console.WriteLine("Please choose a enter option");
}
}
//For Each Cycle
for (int i = 0; i < selector.GetNotOfCycles(); i++)
{
Console.WriteLine("GENERATION " + (i + 1));
//Selection Phase
if (selector.GetSelectionType() == 2)
{
Selector.OrderSamples(initializer.GetPopulation(), initializer.GetGenomeLength(), initializer.GetPopulationSize());
initializer.SetSelectionCandidates(Selector.RankSelection(initializer));
}
//Roulette Wheel Selection
else
{
initializer.SetSelectionCandidates(Selector.RouletteWheel(initializer, fitness.GetTotalPoints()));
}
if (isPhaseSkip == false)
{
//Display Selected Candidates
Console.WriteLine("After Selection...");
initializer.DisplayPopulation(initializer.GetPopulation(), fitness, selector.GetSelectionName(), crossover.GetCrossoverName(), selector.GetMutationRate());
Wait();
}
//Reproduction Phase
if (crossover.GetCrossoverMethod() == 1)
{
//Single Point Crossover
initializer.SetSelectionCandidates(crossover.SinglePointCrossover(initializer));
}
else
{
//Uniform Crossover
initializer.SetSelectionCandidates(crossover.UniformCrossover(initializer));
}
if (isPhaseSkip == false)
{
Console.WriteLine("After Crossover");
initializer.DisplayPopulation(initializer.GetPopulation(), fitness, selector.GetSelectionName(), crossover.GetCrossoverName(), selector.GetMutationRate());
Wait();
}
initializer.SetSelectionCandidates(selector.Mutation(initializer));
if (isPhaseSkip == false)
{
//Mutation Phase
Console.WriteLine("After Mutation...");
initializer.DisplayPopulation(initializer.GetPopulation(), fitness, selector.GetSelectionName(), crossover.GetCrossoverName(), selector.GetMutationRate());
Wait();
}
if (isPhaseSkip)
{
initializer.DisplayPopulation(initializer.GetPopulation(), fitness, selector.GetSelectionName(), crossover.GetCrossoverName(), selector.GetMutationRate());
Wait();
}
//Q FOR QUIT
}
initializer.ResetStats();
}
}
