What are the benefits of iterative deepening search?

What are the benefits of iterative deepening search?

Iterative deepening search combines the benefits of depth-first and breadth-first search. It uses less memory than breadth-first search and guarantees finding the shortest path like breadth-first search.

Can you explain how it works in more detail?

Sure! Iterative deepening search repeatedly performs depth-limited searches, increasing the depth limit with each iteration until it finds the goal. This allows it to explore deeper levels while still being memory efficient.

What are some scenarios where this search method is particularly useful?

It's particularly useful in scenarios with large search spaces, like puzzle solving or game AI, where the depth of the solution is unknown.

Are there any drawbacks to using iterative deepening search?

Yes, one drawback is that it can be slower than other methods since it revisits nodes multiple times. However, the memory efficiency often outweighs this.