This Java program is to Implement Ford-Fulkerson algorithm. The Ford–Fulkerson method (named for L. R. Ford, Jr. and D. R. Fulkerson) is an algorithm which computes the maximum flow in a flow network.
The idea behind the algorithm is simple. As long as there is a path from the source (start node) to the sink (end node), with available capacity on all edges in the path, we send flow along one of these paths. Then we find another path, and so on. A path with available capacity is called an augmenting path.
Here is the source code of the Java program to implement ford-fulkerson algorithm. The Java program is successfully compiled and run on a Linux system. The program output is also shown below.
import java.util.LinkedList;
import java.util.Queue;
import java.util.Scanner;
public class FordFulkerson
{
private int[] parent;
private Queue<Integer> queue;
private int numberOfVertices;
private boolean[] visited;
public FordFulkerson(int numberOfVertices)
{
this.numberOfVertices = numberOfVertices;
this.queue = new LinkedList<Integer>();
parent = new int[numberOfVertices + 1];
visited = new boolean[numberOfVertices + 1];
}
public boolean bfs(int source, int goal, int graph[][])
{
boolean pathFound = false;
int destination, element;
for(int vertex = 1; vertex <= numberOfVertices; vertex++)
{
parent[vertex] = -1;
visited[vertex] = false;
}
queue.add(source);
parent = -1;
visited = true;
while (!queue.isEmpty())
{
element = queue.remove();
destination = 1;
while (destination <= numberOfVertices)
{
if (graph[element][destination] > 0 && !visited[destination])
{
parent[destination] = element;
queue.add(destination);
visited[destination] = true;
}
destination++;
}
}
if(visited[goal])
{
pathFound = true;
}
return pathFound;
}
public int fordFulkerson(int graph[][], int source, int destination)
{
int u, v;
int maxFlow = 0;
int pathFlow;
int[][] residualGraph = new int[numberOfVertices + 1][numberOfVertices + 1];
for (int sourceVertex = 1; sourceVertex <= numberOfVertices; sourceVertex++)
{
for (int destinationVertex = 1; destinationVertex <= numberOfVertices; destinationVertex++)
{
residualGraph[sourceVertex][destinationVertex] = graph[sourceVertex][destinationVertex];
}
}
while (bfs(source ,destination, residualGraph))
{
pathFlow = Integer.MAX_VALUE;
for (v = destination; v != source; v = parent[v])
{
u = parent[v];
pathFlow = Math.min(pathFlow, residualGraph[u][v]);
}
for (v = destination; v != source; v = parent[v])
{
u = parent[v];
residualGraph[u][v] -= pathFlow;
residualGraph[v][u] += pathFlow;
}
maxFlow += pathFlow;
}
return maxFlow;
}
public static void main(String...arg)
{
int[][] graph;
int numberOfNodes;
int source;
int sink;
int maxFlow;
Scanner scanner = new Scanner(System.in);
System.out.println("Enter the number of nodes");
numberOfNodes = scanner.nextInt();
graph = new int[numberOfNodes + 1][numberOfNodes + 1];
System.out.println("Enter the graph matrix");
for (int sourceVertex = 1; sourceVertex <= numberOfNodes; sourceVertex++)
{
for (int destinationVertex = 1; destinationVertex <= numberOfNodes; destinationVertex++)
{
graph[sourceVertex][destinationVertex] = scanner.nextInt();
}
}
System.out.println("Enter the source of the graph");
source= scanner.nextInt();
System.out.println("Enter the sink of the graph");
sink = scanner.nextInt();
FordFulkerson fordFulkerson = new FordFulkerson(numberOfNodes);
maxFlow = fordFulkerson.fordFulkerson(graph, source, sink);
System.out.println("The Max Flow is " + maxFlow);
scanner.close();
}
}
$javac FordFulkerson.java $java FordFulkerson Enter the number of nodes 6 Enter the graph matrix 0 16 13 0 0 0 0 0 10 12 0 0 0 4 0 0 14 0 0 0 9 0 0 20 0 0 0 7 0 4 0 0 0 0 0 0 Enter the source of the graph 1 Enter the sink of the graph 6 The Max Flow is 23
Related posts:
Java Program to add two large numbers using Linked List
Hướng dẫn Java Design Pattern – Intercepting Filter
Lớp LinkedHashMap trong Java
Sử dụng Fork/Join Framework với ForkJoinPool trong Java
Java Program to Implement Fisher-Yates Algorithm for Array Shuffling
Guide to PriorityBlockingQueue in Java
Java Program to Compute Discrete Fourier Transform Using Naive Approach
Java Program to Evaluate an Expression using Stacks
Làm thế nào tạo instance của một class mà không gọi từ khóa new?
Introduction to Eclipse Collections
Retrieve User Information in Spring Security
Spring Cloud – Tracing Services with Zipkin
Send an email with an attachment
Java Program to Implement Heap
Spring Boot - Hystrix
Java Program to Implement PrinterStateReasons API
Giới thiệu Google Guice – Binding
Converting a List to String in Java
Using Optional with Jackson
Prevent Cross-Site Scripting (XSS) in a Spring Application
Java Program to Perform Deletion in a BST
Introduction to Spring Cloud Stream
Java Program to Implement Hash Tables chaining with Singly Linked Lists
Java Program to Implement Johnson’s Algorithm
Guide to the Java TransferQueue
Configure a RestTemplate with RestTemplateBuilder
HttpClient Timeout
Java Program to Find a Good Feedback Edge Set in a Graph
Guide to the Java Queue Interface
String Operations with Java Streams
Spring Boot - Application Properties
How to Break from Java Stream forEach