Exemplo n.º 1
0
  /**
   * Implements a Depth First Search on a Maze Object
   *
   * @param myMaze
   * @return
   */
  public static char[] depthFirstSearch(Maze myMaze) {
    // For breadth-first search
    Stack<MazeCell> frontier = new Stack<MazeCell>();

    // Add the Starting State
    frontier.add(myMaze.getCell(myMaze.getStartX(), myMaze.getStartY()));

    while (!frontier.isEmpty()) {
      // Get the Top Node
      MazeCell currentNode = frontier.pop();

      if (currentNode.getVisited() == true) {
        continue;
      }

      // Mark the current node as visited
      currentNode.setVisited();

      nodesExpanded += 1;

      int currentX = currentNode.getX();
      int currentY = currentNode.getY();

      // Reached the Goal State
      if ((currentX == myMaze.getGoalX()) && (currentY == myMaze.getGoalY())) {
        return myMaze.getCell(currentX, currentY).getPath().toCharArray();
      }

      // Go Rightwards (0)
      if ((!myMaze.getCell(currentX, currentY + 1).isWall())
          && (!myMaze.getCell(currentX, currentY + 1).getVisited())) {
        // Add to the Frontier
        frontier.add(myMaze.getCell(currentX, currentY + 1));

        // Adjust it's Path
        myMaze
            .getCell(currentX, currentY + 1)
            .appendPath(myMaze.getCell(currentX, currentY).getPath() + "0");
      }

      // Go Downwards (1)
      if ((!myMaze.getCell(currentX + 1, currentY).isWall())
          && (!myMaze.getCell(currentX + 1, currentY).getVisited())) {
        // Add to the Frontier
        frontier.add(myMaze.getCell(currentX + 1, currentY));

        // Adjust it's Path
        myMaze
            .getCell(currentX + 1, currentY)
            .appendPath(myMaze.getCell(currentX, currentY).getPath() + "1");
      }

      // Go Leftwards (2)
      if ((!myMaze.getCell(currentX, currentY - 1).isWall())
          && (!myMaze.getCell(currentX, currentY - 1).getVisited())) {
        // Add to the Frontier
        frontier.add(myMaze.getCell(currentX, currentY - 1));

        // Adjust it's Path
        myMaze
            .getCell(currentX, currentY - 1)
            .appendPath(myMaze.getCell(currentX, currentY).getPath() + "2");
      }

      // Go Upwards (3)
      if ((!myMaze.getCell(currentX - 1, currentY).isWall())
          && (!myMaze.getCell(currentX - 1, currentY).getVisited())) {
        // Add to the Frontier
        frontier.add(myMaze.getCell(currentX - 1, currentY));

        // Adjust it's Path
        myMaze
            .getCell(currentX - 1, currentY)
            .appendPath(myMaze.getCell(currentX, currentY).getPath() + "3");
      }
    }

    return null;
  }
Exemplo n.º 2
0
  /**
   * Implements an A-Star Search on a Maze Object
   *
   * @param myMaze
   * @return
   */
  public static char[] aStarSearch(Maze myMaze) {
    // For Greedy Best First Search
    List<MazeCell> frontier = new LinkedList<MazeCell>();

    // Add the Starting State
    frontier.add(myMaze.getCell(myMaze.getStartX(), myMaze.getStartY()));

    // Store the current Coordinates
    int currentX = 0, currentY = 0;

    while (!frontier.isEmpty()) {
      // Remove the best node based on heuristic path cost and current path cost
      int currentNodeIndex = getIndexWithSmallestCurrentPath(frontier);
      MazeCell currentNode = frontier.remove(currentNodeIndex);

      // Check if this node has been visited
      if (currentNode.getVisited() == true) {
        continue;
      }

      // Move the Ghost
      // myMaze.scaryGhost.move();

      // Mark the current node as visited
      currentNode.setVisited();

      // Obtain the current coordinates
      currentX = currentNode.getX();
      currentY = currentNode.getY();

      // myMaze.getCell(myMaze.scaryGhost.getGhostX(), myMaze.scaryGhost.getGhostY()).setWall(true);
      // The ghost is in the same place
      if ((currentX == myMaze.scaryGhost.getGhostX())
          && (currentY == myMaze.scaryGhost.getGhostY())) {
        continue;
      }

      // Reached the Goal State
      if ((currentX == myMaze.getGoalX()) && (currentY == myMaze.getGoalY())) {
        return myMaze.getCell(myMaze.getGoalX(), myMaze.getGoalY()).getPath().toCharArray();
      }

      // Increase the number of Expanded Nodes
      nodesExpanded += 1;

      // Initial values of heuristics
      int heuristicRight = Integer.MAX_VALUE,
          heuristicLeft = Integer.MAX_VALUE,
          heuristicUp = Integer.MAX_VALUE,
          heuristicDown = Integer.MAX_VALUE;

      // Go Rightwards (0)
      if ((!myMaze.getCell(currentX, currentY + 1).isWall())
          && (!myMaze.getCell(currentX, currentY + 1).getVisited())) {
        // Obtain the heuristic
        // heuristicRight = manhattan(myMaze.getGoalX(), myMaze.getGoalY(), currentX, currentY+1);
        heuristicRight =
            estimatedManhattan(
                myMaze.getCell(currentX, currentY + 1), myMaze.getGoalX(), myMaze.getGoalY());

        // Adjust the Path
        myMaze
            .getCell(currentX, currentY + 1)
            .appendPath(myMaze.getCell(currentX, currentY).getPath() + "0");

        // Set the Heuristic
        myMaze.getCell(currentX, currentY + 1).setHeuristicDistance(heuristicRight);

        // Find the current path cost
        int currentDistanceCost =
            pathCost(myMaze.getCell(currentX, currentY + 1).getPath().toCharArray());

        // Set the Current Path Distance
        myMaze.getCell(currentX, currentY + 1).setCurrentDistanceCost(currentDistanceCost);
      }

      // Go Downwards (1)
      if ((!myMaze.getCell(currentX + 1, currentY).isWall())
          && (!myMaze.getCell(currentX + 1, currentY).getVisited())) {
        // Obtain the Heuristic
        // heuristicDown = manhattan(myMaze.getGoalX(), myMaze.getGoalY(), currentX+1, currentY);
        heuristicDown =
            estimatedManhattan(
                myMaze.getCell(currentX + 1, currentY), myMaze.getGoalX(), myMaze.getGoalY());

        // Adjust the Path
        myMaze
            .getCell(currentX + 1, currentY)
            .appendPath(myMaze.getCell(currentX, currentY).getPath() + "1");

        // Set the Heuristic
        myMaze.getCell(currentX + 1, currentY).setHeuristicDistance(heuristicDown);

        // Find the current path cost
        int currentDistanceCost =
            pathCost(myMaze.getCell(currentX + 1, currentY).getPath().toCharArray());

        // Set the Current Path Distance
        myMaze.getCell(currentX + 1, currentY).setCurrentDistanceCost(currentDistanceCost);
      }

      // Go Leftwards (2)
      if ((!myMaze.getCell(currentX, currentY - 1).isWall())
          && (!myMaze.getCell(currentX, currentY - 1).getVisited())) {
        // Obtain the Heuristic
        // heuristicLeft = manhattan(myMaze.getGoalX(), myMaze.getGoalY(), currentX, currentY-1);
        heuristicLeft =
            estimatedManhattan(
                myMaze.getCell(currentX, currentY - 1), myMaze.getGoalX(), myMaze.getGoalY());

        // Adjust the Path
        myMaze
            .getCell(currentX, currentY - 1)
            .appendPath(myMaze.getCell(currentX, currentY).getPath() + "2");

        // Set the Heuristic
        myMaze.getCell(currentX, currentY - 1).setHeuristicDistance(heuristicLeft);

        // Find the current path cost
        int currentDistanceCost =
            pathCost(myMaze.getCell(currentX, currentY - 1).getPath().toCharArray());

        // Set the Current Path Distance
        myMaze.getCell(currentX, currentY - 1).setCurrentDistanceCost(currentDistanceCost);
      }

      // Go Upwards (3)
      if ((!myMaze.getCell(currentX - 1, currentY).isWall())
          && (!myMaze.getCell(currentX - 1, currentY).getVisited())) {
        // Obtain the Heuristic
        // heuristicUp = manhattan(myMaze.getGoalX(), myMaze.getGoalY(), currentX-1, currentY);
        heuristicUp =
            estimatedManhattan(
                myMaze.getCell(currentX - 1, currentY), myMaze.getGoalX(), myMaze.getGoalY());

        // Adjust the Path
        myMaze
            .getCell(currentX - 1, currentY)
            .appendPath(myMaze.getCell(currentX, currentY).getPath() + "3");

        // Set the Heuristic
        myMaze.getCell(currentX - 1, currentY).setHeuristicDistance(heuristicUp);

        // Find the current path cost
        int currentDistanceCost =
            pathCost(myMaze.getCell(currentX - 1, currentY).getPath().toCharArray());

        // Set the Current Path Distance
        myMaze.getCell(currentX - 1, currentY).setCurrentDistanceCost(currentDistanceCost);
      }

      // Add the Neighbors to the frontier
      if (heuristicRight != Integer.MAX_VALUE) {
        frontier.add(myMaze.getCell(currentX, currentY + 1));
      }
      if (heuristicDown != Integer.MAX_VALUE) {
        frontier.add(myMaze.getCell(currentX + 1, currentY));
      }
      if (heuristicLeft != Integer.MAX_VALUE) {
        frontier.add(myMaze.getCell(currentX, currentY - 1));
      }
      if (heuristicUp != Integer.MAX_VALUE) {
        frontier.add(myMaze.getCell(currentX - 1, currentY));
      }

      // myMaze.getCell(myMaze.scaryGhost.getGhostX(),
      // myMaze.scaryGhost.getGhostY()).setWall(false);

    }

    return myMaze.getCell(myMaze.getGoalX(), myMaze.getGoalY()).getPath().toCharArray();
  }
Exemplo n.º 3
0
  /**
   * Implements a Greedy Best First Search on a Maze Object
   *
   * @param myMaze
   * @return
   */
  public static char[] greedyBestFirstSearch(Maze myMaze) {
    // For Greedy Best First Search
    Stack<MazeCell> frontier = new Stack<MazeCell>();

    // Add the Starting State
    frontier.add(myMaze.getCell(myMaze.getStartX(), myMaze.getStartY()));

    // Store the current Co-ordinates
    int currentX = 0, currentY = 0;

    while (!frontier.isEmpty()) {
      // Get the Top Node
      MazeCell currentNode = frontier.pop();

      // Check if this node has been visited
      if (currentNode.getVisited() == true) {
        continue;
      }

      // Mark the current node as visited
      currentNode.setVisited();

      // Obtain the current cordinates
      currentX = currentNode.getX();
      currentY = currentNode.getY();

      // Reached the Goal State
      if ((currentX == myMaze.getGoalX()) && (currentY == myMaze.getGoalY())) {
        return myMaze.getCell(myMaze.getGoalX(), myMaze.getGoalY()).getPath().toCharArray();
      }

      // Increase the number of Expanded Nodes
      nodesExpanded += 1;

      // Check that you're not out of Bounds
      if (currentX <= 0
          || currentY <= 0
          || currentX >= myMaze.getHeight() - 1
          || currentY >= myMaze.getWidth() - 1) {
        continue;
      }

      // Initial values of heuristics
      int heuristicRight = Integer.MAX_VALUE,
          heuristicLeft = Integer.MAX_VALUE,
          heuristicUp = Integer.MAX_VALUE,
          heuristicDown = Integer.MAX_VALUE;

      // Go Rightwards (0)
      if ((!myMaze.getCell(currentX, currentY + 1).isWall())
          && (!myMaze.getCell(currentX, currentY + 1).getVisited())) {
        // Obtain the heuristic
        heuristicRight = manhattan(myMaze.getGoalX(), myMaze.getGoalY(), currentX, currentY + 1);

        // Adjust the Path
        myMaze
            .getCell(currentX, currentY + 1)
            .appendPath(myMaze.getCell(currentX, currentY).getPath() + "0");

        // Set the Heuristic
        myMaze.getCell(currentX, currentY + 1).setHeuristicDistance(heuristicRight);
      }

      // Go Downwards (1)
      if ((!myMaze.getCell(currentX + 1, currentY).isWall())
          && (!myMaze.getCell(currentX + 1, currentY).getVisited())) {
        heuristicDown = manhattan(myMaze.getGoalX(), myMaze.getGoalY(), currentX + 1, currentY);
        myMaze
            .getCell(currentX + 1, currentY)
            .appendPath(myMaze.getCell(currentX, currentY).getPath() + "1");
        myMaze.getCell(currentX + 1, currentY).setHeuristicDistance(heuristicDown);
      }

      // Go Leftwards (2)
      if ((!myMaze.getCell(currentX, currentY - 1).isWall())
          && (!myMaze.getCell(currentX, currentY - 1).getVisited())) {
        heuristicLeft = manhattan(myMaze.getGoalX(), myMaze.getGoalY(), currentX, currentY - 1);
        myMaze
            .getCell(currentX, currentY - 1)
            .appendPath(myMaze.getCell(currentX, currentY).getPath() + "2");
        myMaze.getCell(currentX, currentY - 1).setHeuristicDistance(heuristicLeft);
      }

      // Go Upwards (3)
      if ((!myMaze.getCell(currentX - 1, currentY).isWall())
          && (!myMaze.getCell(currentX - 1, currentY).getVisited())) {
        heuristicUp = manhattan(myMaze.getGoalX(), myMaze.getGoalY(), currentX - 1, currentY);
        myMaze
            .getCell(currentX - 1, currentY)
            .appendPath(myMaze.getCell(currentX, currentY).getPath() + "3");
        myMaze.getCell(currentX - 1, currentY).setHeuristicDistance(heuristicUp);
      }

      // Used to Sort the Values
      ArrayList<MazeCell> myNeighbors = new ArrayList<MazeCell>();
      if (heuristicRight != Integer.MAX_VALUE) {
        myNeighbors.add(myMaze.getCell(currentX, currentY + 1));
      }
      if (heuristicDown != Integer.MAX_VALUE) {
        myNeighbors.add(myMaze.getCell(currentX + 1, currentY));
      }
      if (heuristicLeft != Integer.MAX_VALUE) {
        myNeighbors.add(myMaze.getCell(currentX, currentY - 1));
      }
      if (heuristicUp != Integer.MAX_VALUE) {
        myNeighbors.add(myMaze.getCell(currentX - 1, currentY));
      }

      // Sort the Cells based on Heuristic Values
      myNeighbors = sortNeighbors(myNeighbors);

      // Add the Cells to the Frontier in the Sorted Order
      for (MazeCell temp : myNeighbors) {
        if (temp.getHeuristicDistance() != Integer.MAX_VALUE) {
          frontier.add(temp);
        }
      }
    }

    return myMaze.getCell(myMaze.getGoalX(), myMaze.getGoalY()).getPath().toCharArray();
  }