A*

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Psevdokoda

1 	Create a node containing the goal state node_goal
2 	Create a node containing the start state node_start
3 	Put node_start on the open list
4 	while the OPEN list is not empty
5 	{
6 	Get the node off the open list with the lowest f and call it node_current
7 	if node_current is the same state as node_goal we have found the solution; break from the while loop
8 	    Generate each state node_successor that can come after node_current
9 	    for each node_successor of node_current
10 	    {
11 	        Set the cost of node_successor to be the cost of node_current plus the cost to get to node_successor from node_current
12 	        find node_successor on the OPEN list
13 	        if node_successor is on the OPEN list but the existing one is as good or better then discard this successor and continue
14 	       if node_successor is on the CLOSED list but the existing one is as good or better then discard this successor and continue
15 	       Remove occurences of node_successor from OPEN and CLOSED
16 	       Set the parent of node_successor to node_current
17 	       Set h to be the estimated distance to node_goal (Using the heuristic function)
18 	       Add node_successor to the OPEN list
19 	    }
20 	    Add node_current to the CLOSED list
21 	}

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