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What is the advantage of iterative deepening search over depth-first?
Wiki User
∙ 16y ago
Iterative deepening effectively performs a breadth-first search in a way that requires much less memory than breadth-first search does.
So before explaining the advantage of iterative deepening over depth-first, its important to understand the difference between breadth-first and depth-first search. Depth first explores down the tree first while breadth-first explores all nodes on the first level, then the second level, then the third level, and so on.
Breadth-first search is ideal in situations where the answer is near the top of the tree and Depth-first search works well when the goal node is near the bottom of the tree. Depth-first search has much lower memory requirements.
Iterative deepening works by running depth-first search repeatedly with a growing constraint on how deep to explore the tree. This gives you you a search that is effectively breadth-first with the low memory requirements of depth-first search.
Different applications call for different types of search, so there's not one that is always better than any other.
Wiki User
∙ 16y ago
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You will get principal variation from iterative deepening search using sequential moves within the framework. It is important to note that this may slow down the search due to space requirements.Ê
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Iterative deepening will preform much worse than depth first when the desired nodes show up early in pre-order traversal of the graph. This means that on most diagrams the desired nodes would be in the bottom left. Depth first will find these almost immediately however iterative deepening will be forced to expand all nodes above the desired level first, significantly slowing down the find time.
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