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 to Perform Searching Based on Locality of Reference
Understanding Memory Leaks in Java
Serialization và Deserialization trong java
Spring Cloud – Adding Angular
Configure a RestTemplate with RestTemplateBuilder
New Features in Java 12
Spring @RequestParam Annotation
Limiting Query Results with JPA and Spring Data JPA
Jackson vs Gson
Java Program to Implement Jarvis Algorithm
Spring Security and OpenID Connect
Receive email using IMAP
Java Program to Find the Shortest Path from Source Vertex to All Other Vertices in Linear Time
How to Set TLS Version in Apache HttpClient
Overview of Spring Boot Dev Tools
Convert String to int or Integer in Java
Java Program to Find the Edge Connectivity of a Graph
Java Program to Compute Cross Product of Two Vectors
Request Method Not Supported (405) in Spring
Java Program to Implement WeakHashMap API
Tạo ứng dụng Java RESTful Client với thư viện OkHttp
Removing Elements from Java Collections
Java Program to Perform Finite State Automaton based Search
Introduction to Spring Data JPA
Integer Constant Pool trong Java
Form Validation with AngularJS and Spring MVC
Find the Registered Spring Security Filters
RegEx for matching Date Pattern in Java
Extra Login Fields with Spring Security
Introduction to Netflix Archaius with Spring Cloud
Phương thức forEach() trong java 8
HttpClient Timeout