Intellipaat Back

Explore Courses Blog Tutorials Interview Questions
0 votes
2 views
in AI and Deep Learning by (50.2k points)
edited by

Can somebody explain about Iterative Deepening A*? I still don't understand how it works. Iterative deepening search w/ Depth First Search, and If still not found the solution; increase the Depth++ until found solution.

If Iterative deepening using Depth, then Iterative Deepening A* use what to limit their search?

Here is a picture if you need to explain how it IDA* Works, I just don't understand how it works.

(1,2,4,9) and etc is the step

0+2=2 is f(n)=g(n)+h(n)

IDA* EXAMPLE

1 Answer

0 votes
by (107k points)

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 an alternative of iterative deepening depth-first search that borrows the idea to use a heuristic function to evaluate the remaining cost to get to the goal from the A* search algorithm. As you can get, it is a depth-first search algorithm, its memory usage is weaker than in A*, but unlike ordinary iterative deepening search, it concentrates on exploring the most likely nodes and thus does not go to the same depth everywhere in the search tree. Unlike A*, IDA* does not use dynamic programming and therefore often ends up exploring the same nodes many times.

If you are looking to learn more about Artificial Intelligence then you visit Artificial Intelligence Tutorial and Artificial Intelligence Course. Also, if you are appearing for job profiles of AI Engineer or AI Expert then you can prepare for the interviews on Artificial Intelligence Interview Questions.

31k questions

32.8k answers

501 comments

693 users

Browse Categories

...