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Iterative deepening A* (IDA*) is a graph traversal and path search algorithm that can find the shortest path between a designated start node and any member of a set of goal nodes in a weighted graph. It is a variant of iterative deepening depth-first search that borrows the idea to use a heuristic function to conservatively estimate the ...
In computer science, iterative deepening search or more specifically iterative deepening depth-first search [1] (IDS or IDDFS) is a state space/graph search strategy in which a depth-limited version of depth-first search is run repeatedly with increasing depth limits until the goal is found.
Iterative deepening A* (IDA*) Jump point search; Lifelong Planning A* (LPA*) New Bidirectional A* (NBA*) [33] Simplified Memory bounded A* (SMA*) Theta* A* can also be adapted to a bidirectional search algorithm, but special care needs to be taken for the stopping criterion. [34]
In essence, fringe search is a middle ground between A* and the iterative deepening A* variant (IDA*). If g(x) is the cost of the search path from the first node to the current, and h(x) is the heuristic estimate of the cost from the current node to the goal, then ƒ(x) = g(x) + h(x), and h* is the actual path cost to the goal.
In the artificial intelligence mode of analysis, with a branching factor greater than one, iterative deepening increases the running time by only a constant factor over the case in which the correct depth limit is known due to the geometric growth of the number of nodes per level. DFS may also be used to collect a sample of graph nodes.
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iterative deepening A search algorithm that first searches to a depth of N plies, then using results of that search reorders the candidate moves to conduct a search to N + 1 plies. See iterative deepening depth-first search. killer heuristic
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