public void Solve(string filepath, int AlgoChoosed)
{
int i = 0;
int j = 0;
VariasiRuangan[] variasiRuangan;
FileParser fp = new FileParser(filepath);
string[] jadwal = fp.getJadwal();
//Isi listMK
listMK = new List <MataKuliah>();
for (int k = 0; k < fp.getBanyakJadwal(); k++)
{
MataKuliah mk = new MataKuliah(jadwal[k]);
listMK.Add(mk);
}
string[] rrr = fp.getRuangan();
//Isi ListR
listR = new List <Ruangan>();
for (int k = 0; k < fp.getBanyakRuangan(); k++)
{
Ruangan r = new Ruangan(rrr[k]);
listR.Add(r);
}
listR = sortListRuangan(listR);
variasiRuangan = new VariasiRuangan[fp.getBanyakRuangan()];
while (i < fp.getBanyakRuangan())
{
variasiRuangan[j] = new VariasiRuangan();
variasiRuangan[j].nama = listR[i].getNamaRuangan();
variasiRuangan[j].variasi = 1;
i++;
if (i >= fp.getBanyakRuangan())
{
break;
}
while (variasiRuangan[j].nama.Equals(listR[i].getNamaRuangan(), StringComparison.Ordinal))
{
variasiRuangan[j].variasi++;
i++;
if (i >= fp.getBanyakRuangan())
{
break;
}
}
if (i >= fp.getBanyakRuangan())
{
break;
}
j++;
}
//Cek Algo yang dipakai
if (AlgoChoosed == 1)
{
RandomRestart rr = new RandomRestart();
rr.randomRestart(ref listMK, listR, fp.getBanyakJadwal(), fp.getBanyakRuangan(), variasiRuangan);
}
if (AlgoChoosed == 2)
{
SimulatedAnnealing sa = new SimulatedAnnealing();
sa.simulatedAnnealing(ref listMK, listR, fp.getBanyakJadwal(), fp.getBanyakRuangan(), variasiRuangan);
}
if (AlgoChoosed == 3)
{
GeneticAlgorithm ga = new GeneticAlgorithm();
listMK = ga.geneticAlgorithm(500, listMK, listR, fp.getBanyakJadwal(), fp.getBanyakRuangan(), variasiRuangan);
}
//Menjalankan perhitungan konflik dan efektifitas
Checker ch = new Checker();
Others ot = new Others();
ch.hitungKonflik(listMK);
jmlK = ch.getJumlahKonflik();
jmlO = ot.hitungEfektif(listMK, listR) * 100;
}
public List <MataKuliah> geneticAlgorithm(int stepCount, List <MataKuliah> listMK, List <Ruangan> listR, int banyakJadwal, int banyakRuangan, VariasiRuangan[] varR)
{
List <List <MataKuliah> > sample = new List <List <MataKuliah> >();
List <List <MataKuliah> > temp = new List <List <MataKuliah> >();
List <MataKuliah> tempSolution = new List <MataKuliah>();
MataKuliah[] listTemp = new MataKuliah[banyakJadwal + 1];
Random rng = new Random(Guid.NewGuid().GetHashCode());
Initializer init = new Initializer();
int size = 1024;
int minConflict = int.MaxValue;
int[] fitness = new int[size];
float[] chanceThreshold = new float[size];
int maxFitness = (banyakJadwal - 1) * (banyakJadwal) / 2;
int totalFitness;
float randomNumber;
int randomNumberI;
int index = 0;
Checker check = new Checker();
Boolean found = false;
int minTime = 0;
int maxTime = 0;
IEnumerable <int> possibleDay;
//Initial generation
for (int i = 0; i < size; i++)
{
init.Initialize(listMK, listR, banyakJadwal, banyakRuangan, varR);
sample.Add(deepClone(listMK, banyakJadwal));
}
//Series of Genetic Algorithm process
for (int step = 0; step < stepCount; step++)
{
index = 0;
//Console.WriteLine();
//if (step % 25000 == 0)
//{
//Console.WriteLine("Process : " + step);
//}
//Calculate fitness function
totalFitness = 0;
for (int i = 0; i < size; i++)
{
check.hitungKonflik(sample[i]);
fitness[i] = maxFitness - check.getJumlahKonflik();
totalFitness = totalFitness + fitness[i];
}
//Console.WriteLine("Fitness function done");
//Selection chance
chanceThreshold[0] = ((float)fitness[0]) / ((float)totalFitness);
for (int i = 1; i < size; i++)
{
chanceThreshold[i] = chanceThreshold[i - 1] + ((float)fitness[i]) / ((float)totalFitness);
}
//Console.WriteLine("Selection chance done");
//Selection
temp = new List <List <MataKuliah> >();
for (int i = 0; i < size; i++)
{
randomNumber = ((float)rng.Next(0, 1001)) / 1000f;
while ((index < size) && (randomNumber > chanceThreshold[index]))
{
index++;
}
if (index == size)
{
index = (size - 1);
}
temp.Add(deepClone(sample[index], banyakJadwal));
}
sample = temp;
//Console.WriteLine("Selection done");
//Crossover
for (int i = 0; i < size; i = i + 2)
{
randomNumberI = rng.Next(0, banyakJadwal);
if (randomNumberI != (banyakJadwal - 1))
{
index = (randomNumberI + 1);
int length = (banyakJadwal - index);
sample[i].CopyTo((index), listTemp, 0, (banyakJadwal - index));
for (int j = 0; j < length; j++)
{
sample[i][index] = sample[i + 1].GetRange(index, 1)[0];
sample[i + 1][index] = listTemp[j];
index++;
}
}
}
//Console.WriteLine("Crossover done");
//Mutation
for (int i = 0; i < size; i++)
{
index = 0;
found = false;
randomNumberI = rng.Next(0, (banyakJadwal + 1));
if (randomNumberI != banyakJadwal)
{
if (!sample[i][randomNumberI].getRuanganDom().Equals("-", StringComparison.Ordinal))
{
sample[i][randomNumberI].setRuanganSol(sample[i][randomNumberI].getRuanganDom());
while (!found)
{
if (sample[i][randomNumberI].getRuanganSol().Equals(listR[index].getNamaRuangan(), StringComparison.Ordinal))
{
found = true;
}
else
{
index++;
}
}
//Calculate Possible Day
possibleDay = sample[i][randomNumberI].getHariDom().Intersect(listR[index].getHariAvailable());
//Calculate Possible Time
if (listR[index].getjamMulai() > sample[i][randomNumberI].getJamDomAwal())
{
minTime = listR[index].getjamMulai();
}
else
{
minTime = sample[i][randomNumberI].getJamDomAwal();
}
if (listR[index].getjamAkhir() < sample[i][randomNumberI].getJamDomAkhir())
{
maxTime = listR[index].getjamAkhir();
}
else
{
maxTime = sample[i][randomNumberI].getJamDomAkhir();
}
}
//If there's room restriction
else
{
index = rng.Next(0, banyakRuangan);
sample[i][randomNumberI].setRuanganSol(listR[index].getNamaRuangan());
//Calculate Possible Day
possibleDay = sample[i][randomNumberI].getHariDom().Intersect(listR[index].getHariAvailable());
//Calculate Possible Time
if (listR[index].getjamMulai() > sample[i][randomNumberI].getJamDomAwal())
{
minTime = listR[index].getjamMulai();
}
else
{
minTime = sample[i][randomNumberI].getJamDomAwal();
}
if (listR[index].getjamAkhir() < sample[i][randomNumberI].getJamDomAkhir())
{
maxTime = listR[index].getjamAkhir();
}
else
{
maxTime = sample[i][randomNumberI].getJamDomAkhir();
}
//If assignment is not possible, do reassignment to room
while ((possibleDay.ToArray().Length == 0) || ((minTime + sample[i][randomNumberI].getSks()) > maxTime))
{
index = rng.Next(0, banyakRuangan);
sample[i][randomNumberI].setRuanganSol(listR[index].getNamaRuangan());
possibleDay = sample[i][randomNumberI].getHariDom().Intersect(listR[index].getHariAvailable());
if (listR[index].getjamMulai() > sample[i][randomNumberI].getJamDomAwal())
{
minTime = listR[index].getjamMulai();
}
else
{
minTime = sample[i][randomNumberI].getJamDomAwal();
}
if (listR[index].getjamAkhir() < sample[i][randomNumberI].getJamDomAkhir())
{
maxTime = listR[index].getjamAkhir();
}
else
{
maxTime = sample[i][randomNumberI].getJamDomAkhir();
}
}
}
index = rng.Next(0, possibleDay.ToArray().Length);
sample[i][randomNumberI].setHariSol(possibleDay.ElementAt(index));
index = rng.Next(minTime, (maxTime + 1 - sample[i][randomNumberI].getSks()));
sample[i][randomNumberI].setJamSol(index);
}
}
for (int i = 0; i < size; i++)
{
check.hitungKonflik(sample[i]);
if (check.getJumlahKonflik() < minConflict)
{
minConflict = check.getJumlahKonflik();
tempSolution = deepClone(sample[i], banyakJadwal);
}
}
}
//Console.WriteLine("Mutation Done");
for (int i = 0; i < size; i++)
{
check.hitungKonflik(sample[i]);
fitness[i] = maxFitness - check.getJumlahKonflik();
}
if ((maxFitness - minConflict) > fitness.Max())
{
return(tempSolution);
}
else
{
return(sample[Array.IndexOf(fitness, fitness.Max())]);
}
}
