-
Notifications
You must be signed in to change notification settings - Fork 2
Expand file tree
/
Copy pathGeneticAlgorithm.java
More file actions
68 lines (50 loc) · 1.35 KB
/
Copy pathGeneticAlgorithm.java
File metadata and controls
68 lines (50 loc) · 1.35 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
import java.util.List;
import java.util.Random;
class GeneticAlgorithm {
private List<Kelas> matkul;
private List<Ruangan> ruang;
private String[] population;
private int nPopulation;
public GeneticAlgorithm(List<Kelas> k, List<Ruangan> r) {
matkul = k;
ruang = r;
}
//generate String random, representasi satu individu
public String generateRandom() {
int totalGenerate = matkul.size();
String str = "";
String tmp;
int max, min;
int idx, hari, mulai, selesai;
Random rand = new Random();
//format: <idxruang><Hari><mulai><selesai>
for (int i = 0; i < totalGenerate; i++) {
tmp = "";
//generate idxruang
//TODO -> Cek barangkali kelasnya ga bisa di ruang yg diambil
idx = rand.nextInt(ruang.size());
tmp = tmp+idx;
//generate hari
hari = rand.nextInt(5) + 1;
tmp = tmp + hari;
min = Math.min(matkul.get[i].awal, ruang.get[idx].buka);
max = Math.max(matkul.get[i].selesai, ruang.get[idx].tutup) - matkul.get[i].durasi;
//generate mulai
mulai = rand.nextInt(max-min + 1) + min;
tmp = tmp + mulai;
//generate selesai
selesai = mulai + matkul.get[i].durasi;
tmp = tmp + selesai;
str = str + tmp;
}
return str;
}
public int fitnessFunction(String in) {
}
public String mutation (String in) {
}
public String crossover(String s1, String s2) {
}
public void fullProcess(){
}
}