Java tutorial
/* * Chapter 10 - AI-Based Problem Solving The Art of Java by Herbert Schildt and * James Holmes McGraw-Hill/Osborne ? 2003 */ import java.io.BufferedReader; import java.io.IOException; import java.io.InputStreamReader; import java.util.Stack; // Flight information. class FlightInfo { String from; String to; int distance; boolean skip; // used in backtracking FlightInfo(String f, String t, int d) { from = f; to = t; distance = d; skip = false; } } public class Optimal { final int MAX = 100; // This array holds the flight information. FlightInfo flights[] = new FlightInfo[MAX]; int numFlights = 0; // number of entries in flight array Stack btStack = new Stack(); // backtrack stack Stack optimal; // holds optimal solution int minDist = 10000; public static void main(String args[]) { String to, from; Optimal ob = new Optimal(); BufferedReader br = new BufferedReader(new InputStreamReader(System.in)); boolean done = false; FlightInfo f; ob.setup(); try { System.out.print("From? "); from = br.readLine(); System.out.print("To? "); to = br.readLine(); do { ob.isflight(from, to); if (ob.btStack.size() == 0) done = true; else { ob.route(to); ob.btStack = new Stack(); } } while (!done); // Display optimal solution. if (ob.optimal != null) { System.out.println("Optimal solution is: "); int num = ob.optimal.size(); for (int i = 0; i < num; i++) { f = (FlightInfo) ob.optimal.pop(); System.out.print(f.from + " to "); } System.out.println(to); System.out.println("Distance is " + ob.minDist); } } catch (IOException exc) { System.out.println("Error on input."); } } // Initialize the flight database. void setup() { addFlight("New York", "Chicago", 900); addFlight("Chicago", "Denver", 1000); addFlight("New York", "Toronto", 500); addFlight("New York", "Denver", 1800); addFlight("Toronto", "Calgary", 1700); addFlight("Toronto", "Los Angeles", 2500); addFlight("Toronto", "Chicago", 500); addFlight("Denver", "Urbana", 1000); addFlight("Denver", "Houston", 1000); addFlight("Houston", "Los Angeles", 1500); addFlight("Denver", "Los Angeles", 1000); } // Put flights into the database. void addFlight(String from, String to, int dist) { if (numFlights < MAX) { flights[numFlights] = new FlightInfo(from, to, dist); numFlights++; } else System.out.println("Flight database full.\n"); } // Save shortest route. void route(String to) { int dist = 0; FlightInfo f; int num = btStack.size(); Stack optTemp = new Stack(); for (int i = 0; i < num; i++) { f = (FlightInfo) btStack.pop(); optTemp.push(f); // save route dist += f.distance; } // If shorter, keep this route if (minDist > dist) { optimal = optTemp; minDist = dist; } } /* * If there is a flight between from and to, return the distance of flight; * otherwise, return 0. */ int match(String from, String to) { for (int i = numFlights - 1; i > -1; i--) { if (flights[i].from.equals(from) && flights[i].to.equals(to) && !flights[i].skip) { flights[i].skip = true; // prevent reuse return flights[i].distance; } } return 0; // not found } // Given from, find any connection using least-cost. FlightInfo find(String from) { int pos = -1; int dist = 10000; // longer than longest route for (int i = 0; i < numFlights; i++) { if (flights[i].from.equals(from) && !flights[i].skip) { // Use the shortest flight. if (flights[i].distance < dist) { pos = i; dist = flights[i].distance; } } } if (pos != -1) { flights[pos].skip = true; // prevent reuse FlightInfo f = new FlightInfo(flights[pos].from, flights[pos].to, flights[pos].distance); return f; } return null; } // Determine if there is a route between from and to. void isflight(String from, String to) { int dist; FlightInfo f; // See if at destination. dist = match(from, to); if (dist != 0) { btStack.push(new FlightInfo(from, to, dist)); return; } // Try another connection. f = find(from); if (f != null) { btStack.push(new FlightInfo(from, to, f.distance)); isflight(f.to, to); } else if (btStack.size() > 0) { // Backtrack and try another connection. f = (FlightInfo) btStack.pop(); isflight(f.from, f.to); } } }