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.
Related posts:
Java Program for Topological Sorting in Graphs
Batch Processing with Spring Cloud Data Flow
Java Program to Perform Quick Sort on Large Number of Elements
Spring RestTemplate Request/Response Logging
Java Program to Describe the Representation of Graph using Incidence List
Quick Guide to the Java StringTokenizer
Debug a HttpURLConnection problem
Java toString() Method
Java Map With Case-Insensitive Keys
Java Program to Implement Ternary Heap
Chương trình Java đầu tiên
ArrayList trong java
Java Program to subtract two large numbers using Linked Lists
Creating Docker Images with Spring Boot
Iterable to Stream in Java
Hướng dẫn Java Design Pattern – Strategy
Hướng dẫn Java Design Pattern – Facade
Remove All Occurrences of a Specific Value from a List
Java Program to Implement Bresenham Line Algorithm
Java Streams vs Vavr Streams
Java Program to Implement Sorted Array
Spring Boot: Customize Whitelabel Error Page
Functional Interface trong Java 8
Tránh lỗi ConcurrentModificationException trong Java như thế nào?
A Guide to Java SynchronousQueue
Tạo chương trình Java đầu tiên sử dụng Eclipse
Java Program to Perform Search in a BST
Compact Strings in Java 9
Spring Security 5 for Reactive Applications
Error Handling for REST with Spring
A Guide to Concurrent Queues in Java
Java Program for Douglas-Peucker Algorithm Implementation