Friday, 17 November 2017

Java Program to Solve Knapsack Problem Using Dynamic Programming


Code:

//This is the java program to implement the knapsack problem using Dynamic Programming
import java.util.Scanner;

public class Knapsack_DP 
{
    static int max(int a, int b) 
    { 
        return (a > b)? a : b; 
    }
    static int knapSack(int W, int wt[], int val[], int n)
    {
        int i, w;
        int [][]K = new int[n+1][W+1];

   // Build table K[][] in bottom up manner
        for (i = 0; i <= n; i++)
        {
            for (w = 0; w <= W; w++)
            {
                if (i==0 || w==0)
                    K[i][w] = 0;
                else if (wt[i-1] <= w)
                    K[i][w] = max(val[i-1] + K[i-1][w-wt[i-1]],  K[i-1][w]);
                else
                    K[i][w] = K[i-1][w];
            }
        }

        return K[n][W];
    }

    public static void main(String args[])
    {
        Scanner sc = new Scanner(System.in);
        System.out.println("Enter the number of items: ");
        int n = sc.nextInt();
        System.out.println("Enter the items weights: ");
        int []wt = new int[n];
        for(int i=0; i
            wt[i] = sc.nextInt();

        System.out.println("Enter the items values: ");
        int []val = new int[n];
        for(int i=0; i
            val[i] = sc.nextInt();

        System.out.println("Enter the maximum capacity: ");
        int W = sc.nextInt();

        System.out.println("The maximum value that can be put in a knapsack of capacity W is: " + knapSack(W, wt, val, n));
        sc.close();
    }
}


Output:

Enter the number of items: 
5
Enter the items weights: 
01 56 42 78 12
Enter the items values: 
50 30 20 10 50 
Enter the maximum capacity: 
150
The maximum value that can be put in a knapsack of capacity W is: 150


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