What is the most efficient pathfinding algorithm?
2. Shortest Path Problem: The shortest path problem is defined as that of finding a minimum-length (cost) path between a given pair of nodes. The Dijkstra algorithm is considered as the most efficient method for shortest path computation in IP networks.
Is A * always better than Dijkstra?
@RobertHarvey, take A* and give the heuristic as h(node) = 1 and h(goal) = 0 . A* is then reduced to dijkstra. So since A* can emulate dijkstra, it’s either equally powerful or better.
How is the heuristic guaranteed to find the shortest path?
The heuristic can be used to control A*’s behavior. At one extreme, if h (n) is 0, then only g (n) plays a role, and A* turns into Dijkstra’s Algorithm, which is guaranteed to find a shortest path. If h (n) is always lower than (or equal to) the cost of moving from n to the goal, then A* is guaranteed to find a shortest path.
Which is the most efficient way of finding a path?
I wish to find a path finding algorithm, which isn’t costly on processor power, to find a path along the best possible path where the nodes are the most favorably weighted, the fastest route is not the most important factor. This algorithm, also takes into consideration load bearing, and traffic rerouting.
Why is it important to choose a good heuristic function?
It’s important to choose a good heuristic function. The heuristic can be used to control A*’s behavior. At one extreme, if h (n) is 0, then only g (n) plays a role, and A* turns into Dijkstra’s Algorithm, which is guaranteed to find a shortest path.
Can a heuristic be made exact without precomputing?
In a special circumstance, you can make the heuristic exact without precomputing anything. If you have a map with no obstacles and no slow terrain, then the shortest path from the starting point to the goal should be a straight line.