This is java program to implement 0/1 Knapsack problem. The knapsack problem or rucksack problem is a problem in combinatorial optimization: Given a set of items, each with a mass and a value, determine the number of each item to include in a collection so that the total weight is less than or equal to a given limit and the total value is as large as possible. It derives its name from the problem faced by someone who is constrained by a fixed-size knapsack and must fill it with the most valuable items.
Here is the source code of the Java Program to Solve the 0-1 Knapsack Problem. The Java program is successfully compiled and run on a Windows system. The program output is also shown below.
//This is a sample program to implement a 0/1 knapsack algorithm
import java.util.Scanner;
public class Zero_One_Knapsack
{
public void solve(int[] wt, int[] val, int W, int N)
{
int NEGATIVE_INFINITY = Integer.MIN_VALUE;
int[][] m = new int[N + 1][W + 1];
int[][] sol = new int[N + 1][W + 1];
for (int i = 1; i <= N; i++)
{
for (int j = 0; j <= W; j++)
{
int m1 = m[i - 1][j];
int m2 = NEGATIVE_INFINITY;
if (j >= wt[i])
m2 = m[i - 1][j - wt[i]] + val[i];
m[i][j] = Math.max(m1, m2);
sol[i][j] = m2 > m1 ? 1 : 0;
}
}
int[] selected = new int[N + 1];
for (int n = N, w = W; n > 0; n--)
{
if (sol[n][w] != 0)
{
selected[n] = 1;
w = w - wt[n];
}
else
selected[n] = 0;
}
System.out.print("\nItems with weight ");
for (int i = 1; i < N + 1; i++)
if (selected[i] == 1)
System.out.print(val[i] +" ");
System.out.println("are selected by knapsack algorithm.");
}
public static void main (String[] args)
{
Scanner scan = new Scanner(System.in);
Zero_One_Knapsack ks = new Zero_One_Knapsack();
System.out.println("Enter number of elements ");
int n = scan.nextInt();
int[] wt = new int[n + 1];
int[] val = new int[n + 1];
System.out.println("Enter weight for "+ n +" elements");
for (int i = 1; i <= n; i++)
wt[i] = scan.nextInt();
System.out.println("Enter value for "+ n +" elements");
for (int i = 1; i <= n; i++)
val[i] = scan.nextInt();
System.out.println("Enter knapsack weight ");
int W = scan.nextInt();
ks.solve(wt, val, W, n);
scan.close();
}
}
Output:
$ javac Zero_One_Knapsack.java $ java Zero_One_Knapsack Enter number of elements 5 Enter weight for 5 elements 01 56 42 78 12 Enter value for 5 elements 50 30 20 10 50 Enter knapsack weight 150 Items with weight 50 30 20 50 are selected by knapsack algorithm.
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