Time complexity of BFS algorithm can be obtained by the number of nodes traversed in BFS until the Shallowest node. Where d is the depth of Shallowest node and b is a node at every state.
Space complexity of Breadth First Search (BFS) is given by the memory size of frontier which is O(b d ).
Breadth First Search (BFS) is complete that mean if the solution of a given problem is exists at any node with a finite depth, then the algorithm definitely finds a solution.
Breadth First Search (BFS) is Optimal if path coast is a non-decreasing function of the depth of the node.
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