I will not describe the A*-algorithm in depth on my page as it is already done quite well here:

Description of A StarĀ

or you can go to the A Star Wikipedia for a short overview.

My Java implementation of the A Star Algorith works on a square map. It is reasonably fast, but it is more a proof of concept than an implementation that should be used anywhere where performance really matters. A simple example case is added as well.

a star java example code [6.74 kB]

To give you an idea what the code is like, here is the important method:

/**

* The main A Star Algorithm in Java.

*

* finds an allowed path from start to goal coordinates on this map.

* <p>

* This method uses the A Star algorithm. The hCosts value is calculated in

* the given Node implementation.

* <p>

* This method will return a LinkedList containing the start node at the

* beginning followed by the calculated shortest allowed path ending

* with the end node.

* <p>

* If no allowed path exists, an empty list will be returned.

* <p>

* <p>

* x/y must be bigger or equal to 0 and smaller or equal to width/hight.

*

* @param oldX x where the path starts

* @param oldY y where the path starts

* @param newX x where the path ends

* @param newY y where the path ends

* @return the path as calculated by the A Star algorithm

*/

public final List<T> findPath(int oldX, int oldY, int newX, int newY) {

openList = new LinkedList<T>();

closedList = new LinkedList<T>();

openList.add(nodes[oldX][oldY]); // add starting node to open list

done = false;

T current;

while (!done) {

current = lowestFInOpen(); // get node with lowest fCosts from openList

closedList.add(current); // add current node to closed list

openList.remove(current); // delete current node from open list

if ((current.getxPosition() == newX)

&& (current.getyPosition() == newY)) { // found goal

return calcPath(nodes[oldX][oldY], current);

}

// for all adjacent nodes:

List<T> adjacentNodes = getAdjacent(current);

for (int i = 0; i < adjacentNodes.size(); i++) {

T currentAdj = adjacentNodes.get(i);

if (!openList.contains(currentAdj)) { // node is not in openList

currentAdj.setPrevious(current); // set current node as previous for this node

currentAdj.sethCosts(nodes[newX][newY]); // set h costs of this node (estimated costs to goal)

currentAdj.setgCosts(current); // set g costs of this node (costs from start to this node)

openList.add(currentAdj); // add node to openList

} else { // node is in openList

if (currentAdj.getgCosts() > currentAdj.calculategCosts(current)) { // costs from current node are cheaper than previous costs

currentAdj.setPrevious(current); // set current node as previous for this node

currentAdj.setgCosts(current); // set g costs of this node (costs from start to this node)

}

}

}

if (openList.isEmpty()) { // no path exists

return new LinkedList<T>(); // return empty list

}

}

return null; // unreachable

}

* The main A Star Algorithm in Java.

*

* finds an allowed path from start to goal coordinates on this map.

* <p>

* This method uses the A Star algorithm. The hCosts value is calculated in

* the given Node implementation.

* <p>

* This method will return a LinkedList containing the start node at the

* beginning followed by the calculated shortest allowed path ending

* with the end node.

* <p>

* If no allowed path exists, an empty list will be returned.

* <p>

* <p>

* x/y must be bigger or equal to 0 and smaller or equal to width/hight.

*

* @param oldX x where the path starts

* @param oldY y where the path starts

* @param newX x where the path ends

* @param newY y where the path ends

* @return the path as calculated by the A Star algorithm

*/

public final List<T> findPath(int oldX, int oldY, int newX, int newY) {

openList = new LinkedList<T>();

closedList = new LinkedList<T>();

openList.add(nodes[oldX][oldY]); // add starting node to open list

done = false;

T current;

while (!done) {

current = lowestFInOpen(); // get node with lowest fCosts from openList

closedList.add(current); // add current node to closed list

openList.remove(current); // delete current node from open list

if ((current.getxPosition() == newX)

&& (current.getyPosition() == newY)) { // found goal

return calcPath(nodes[oldX][oldY], current);

}

// for all adjacent nodes:

List<T> adjacentNodes = getAdjacent(current);

for (int i = 0; i < adjacentNodes.size(); i++) {

T currentAdj = adjacentNodes.get(i);

if (!openList.contains(currentAdj)) { // node is not in openList

currentAdj.setPrevious(current); // set current node as previous for this node

currentAdj.sethCosts(nodes[newX][newY]); // set h costs of this node (estimated costs to goal)

currentAdj.setgCosts(current); // set g costs of this node (costs from start to this node)

openList.add(currentAdj); // add node to openList

} else { // node is in openList

if (currentAdj.getgCosts() > currentAdj.calculategCosts(current)) { // costs from current node are cheaper than previous costs

currentAdj.setPrevious(current); // set current node as previous for this node

currentAdj.setgCosts(current); // set g costs of this node (costs from start to this node)

}

}

}

if (openList.isEmpty()) { // no path exists

return new LinkedList<T>(); // return empty list

}

}

return null; // unreachable

}

Thanks, took two minutes to apply to my problem.