Table of Contents

## What is greedy best-first search?

Best-first search is a search algorithm which explores a graph by expanding the most promising node chosen according to a specified rule. This specific type of search is called greedy best-first search or pure heuristic search.

## Is greedy best-first search optimal?

Greedy best-first search expands nodes with minimal h(n). It is not optimal, but is often efficient.

## What is the complexity of best-first search?

Analysis : worst case time complexity for Best First Search is O(n * Log n) where n is number of nodes. In worst case, we may have to visit all nodes before we reach goal. Note that priority queue is implemented using Min(or Max) Heap, and insert and remove operations take O(log n) time.

## Why greedy best-first search is not complete?

Best First Search Example So in summary, both Greedy BFS and A* are Best first searches but Greedy BFS is neither complete, nor optimal whereas A* is both complete and optimal. However, A* uses more memory than Greedy BFS, but it guarantees that the path found is optimal.

## What are disadvantages of greedy best first?

Explanation: The disadvantage of Greedy Best First Search is that it can get stuck in loops. It is not optimal.

## WHY A * is better than BFS?

The advantage of A* is that it normally expands far fewer nodes than BFS, but if that isn’t the case, BFS will be faster. That can happen if the heuristic used is poor, or if the graph is very sparse or small, or if the heuristic fails for a given graph. Keep in mind that BFS is only useful for unweighted graphs.

## What is better DFS or BFS?

BFS is better when target is closer to Source. DFS is better when target is far from source. As BFS considers all neighbour so it is not suitable for decision tree used in puzzle games. DFS is more suitable for decision tree.

## WHY A * algorithm is better than BFS?

## What is difference between A * and AO * algorithm?

An A* algorithm represents an OR graph algorithm that is used to find a single solution (either this or that). An AO* algorithm represents an AND-OR graph algorithm that is used to find more than one solution by ANDing more than one branch.

## Which is faster BFS or DFS?

BFS is slower than DFS. DFS is faster than BFS. Time Complexity of BFS = O(V+E) where V is vertices and E is edges. Time Complexity of DFS is also O(V+E) where V is vertices and E is edges.

## Why is the space-complexity of greedy best-first search?

I hope this is correct. Also the one with having the space complexity of O ( b m) is called recursive best-first search which is the one that is most similar to DFS implementation I descried in the question. Thanks for contributing an answer to Artificial Intelligence Stack Exchange!

## Is the greedy best first search algorithm complete?

The generic best-first search algorithm selects a node for expansion according to an evaluation function. Greedy best-first search expands nodes with minimal h (n). It is not optimal, but is often efficient. A* s complete and optimal, provided that h (n) is admissible (for TREE-SEARCH) or consistent (for GRAPH-SEARCH).

## Which is the best first search in the queue?

This algorithm will traverse the shortest path first in the queue. The time complexity of the algorithm is given by O (n*logn) . The two variants of Best First Search are Greedy Best First Search and A* Best First Search.

## Which is optimal, breadth first or breadth first search?

◎Recall: Breadth First Search is optimal (always returns the shortest path). Is Greedy Best First also optimal? ◎Strengths of Greedy Best First? ◎Weaknesses of Greedy Best First? ◎How might you improve Greedy Best First? A* Search Not so easily tricked… Developed by at Stanford