Perform Iterative Deepening Search algorithm using the graph in the image. N.b start = A and goal = G and solve steps in a tabular form for easiar understanding.
Perform Iterative Deepening Search
N.b start = A and goal = G and solve steps in a tabular form for easiar understanding.
Iterative Deepening Search (IDS) is a graph traversal algorithm that combines the benefits of Breadth-First Search (BFS) and Depth-First Search (DFS). IDS is a systematic method to search the nodes of a tree or graph by increasing the depth level in each iteration.
The basic idea of IDS is to perform a sequence of limited-depth searches, starting with a depth of 0, then increasing the depth incrementally until the goal is found. In each iteration, IDS performs a DFS from the root node up to the current depth limit.
Step-by-step explanation of how the algorithm works:
- Start with depth limit 0, and perform a DFS search from the root node.
- If the goal node is found, return it and terminate the search.
- If the goal node is not found, increment the depth limit by 1 and repeat steps 1 and 2.
- If the depth limit exceeds the maximum depth of the graph or tree, terminate the search and return "not found".
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Solved in 2 steps
