AI News, Artificial Intelligence/Search/Heuristic search/Beam search

Artificial Intelligence/Search/Heuristic search/Beam search

It is restricted in the sense that the amount of memory available for storing the set of alternative search nodes is limited, and in the sense that non-promising nodes can be pruned at any step in the search (Zhang, 1999).

beam search takes three components as its input: a problem to be solved, a set of heuristic rules for pruning, and a memory with a limited available capacity (Zhang, 1999).

This potential advantage rests upon the accuracy and effectiveness of the heuristic rules used for pruning, and having such rules can be somewhat difficult due to the expert knowledge required of the problem domain (Zhang, 1999). The

In fact, the beam search algorithm terminates for two cases: a required goal node is reached, or a goal node is not reached and there are no nodes left to be explored (Zhang, 1999).

Pruning the Open and Closed lists

Artificial Intelligence by Prof. Deepak Khemani,Department of Computer Science and Engineering,IIT Madras.For more details on NPTEL visit

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