Я пытаюсь выполнить моделирование для некоторых алгоритмов в Java, с чем я сталкиваюсь сейчас, мне нужно запустить основной алгоритм 10 раз, но процесс занимает 120 минут, чтобы завершить, поэтому я делаю каждый запуск в потоке,Я хочу создать 10 потоков без повторения одного и того же кода в каждом потоке, чтобы создать 10 разных потоков с одинаковым кодом для оправдания.любые идеи.
package biodavidcorne;
import java.util.Random;
/**
*
* @author hyder
*/
public class BIODavidCorne extends Thread {
public void run(int Runs) {
}
/**
* @param args the command line arguments
*/
public static void main(String[] args) {
BIODavidCorne test = new BIODavidCorne();
Thread t1 = new Thread(new Runnable() {
@Override
public void run() {
try {
int Runs = 0;
int[][] Mean10Runs = new int[10][10000];
int[][] Min10Runs = new int[10][10000];
int[][] Max10Runs = new int[10][10000];
// for (int Runs = 0; Runs < 10; Runs++) {
BinList test = new BinList();
Random generator = new Random();
for (int i = 0; i < 10; i++) {
test.ReadLine("File.txt", i);
}
//test.PrintListOfGarbage();
for (int i = 0; i < 10; i++) {
test.InsertGarbageToBin(i);
}
for (int Big = 0; Big < 10000; Big++) {
int Mean = 0;
for (int x = 0; x < 10; x++) {
for (int i = 0; i < 50; i++) {
test.GetPenalties(x, i);
}
}
// System.out.println("*******************************************************************************************" + Big + " .. " + Runs);
// test.PrintListOfGarbage();
int[] penalty = new int[10];
int[] minimum = new int[10];
int[] maximum = new int[10];
int[] mutation = new int[10];
// test.PrintListOfGarbage();
for (int i = 0; i < 10; i++) {
penalty[i] = test.getAllPanalties(i);
}
for (int i = 0; i < 10; i++) {
minimum[i] = test.getMinimum(i);
maximum[i] = test.getMaximum(i);
mutation[i] = test.calculateMutation(penalty[i], minimum[i], maximum[i]);
//
}
int r = generator.nextInt(10);
int s = generator.nextInt(10);
test.MakeTheFitness(mutation, r, s);
test.resetPenaltyArray();
// test.PrintListOfGarbage();
for (int i = 0; i < 10; i++) {
Mean = Mean + mutation[i];
}
int min = mutation[0];
int max = 0;
for (int i = 0; i < 10; i++) {
if (min > mutation[i]) {
min = mutation[i];
}
if (max < mutation[i]) {
max = mutation[i];
}
}
Min10Runs[Runs][Big] = min;
Max10Runs[Runs][Big] = max;
Mean10Runs[Runs][Big] = (Mean / 10);
System.out.println("This is the Mean 1"+Big+".."+Runs);
}
System.out.println("This is the Mean + for Runs" + Runs + ".. " + Mean10Runs[Runs][9999] + "This is the Minimum " + Min10Runs[Runs][9999]);
} catch (Exception e) {
System.out.println("Not supported yet." + e);
}
}
});
Thread t2 = new Thread(new Runnable() {
@Override
public void run() {
try {
int Runs = 0;
int[][] Mean10Runs = new int[10][10000];
int[][] Min10Runs = new int[10][10000];
int[][] Max10Runs = new int[10][10000];
// for (int Runs = 0; Runs < 10; Runs++) {
BinList test = new BinList();
Random generator = new Random();
for (int i = 0; i < 10; i++) {
test.ReadLine("File.txt", i);
}
//test.PrintListOfGarbage();
for (int i = 0; i < 10; i++) {
test.InsertGarbageToBin(i);
}
for (int Big = 0; Big < 10000; Big++) {
int Mean = 0;
for (int x = 0; x < 10; x++) {
for (int i = 0; i < 50; i++) {
test.GetPenalties(x, i);
}
}
// System.out.println("*******************************************************************************************" + Big + " .. " + Runs);
// test.PrintListOfGarbage();
int[] penalty = new int[10];
int[] minimum = new int[10];
int[] maximum = new int[10];
int[] mutation = new int[10];
// test.PrintListOfGarbage();
for (int i = 0; i < 10; i++) {
penalty[i] = test.getAllPanalties(i);
}
for (int i = 0; i < 10; i++) {
minimum[i] = test.getMinimum(i);
maximum[i] = test.getMaximum(i);
mutation[i] = test.calculateMutation(penalty[i], minimum[i], maximum[i]);
//
}
int r = generator.nextInt(10);
int s = generator.nextInt(10);
test.MakeTheFitness(mutation, r, s);
test.resetPenaltyArray();
// test.PrintListOfGarbage();
for (int i = 0; i < 10; i++) {
Mean = Mean + mutation[i];
}
int min = mutation[0];
int max = 0;
for (int i = 0; i < 10; i++) {
if (min > mutation[i]) {
min = mutation[i];
}
if (max < mutation[i]) {
max = mutation[i];
}
}
Min10Runs[Runs][Big] = min;
Max10Runs[Runs][Big] = max;
Mean10Runs[Runs][Big] = (Mean / 10);
System.out.println("This is the Mean 2"+Big+".."+Runs);
}
} catch (Exception e) {
System.out.println("Not supported yet." + e);
}
}
});
t1.start();
t2.start();
}
}