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Introduction :A heuristic technique is a set of criteria for determining which of multiple options will be the most effective in achieving a particular goal. This strategy increases the efficiency of a search process by surrendering claims of systematic and completeness of the best.We can hope to achieve a good solution to difficult problems (such as the traveling salesman problem) in less than exponent time if we use appropriate heuristics.
Beam Search :A heuristic search algorithm that examines a graph by extending the most promising node in a...
Content Under CC-BY-SA licenseAI | Search Algorithms | BEAM Search | Codecademy
BEAM search is a fast and memory-efficient algorithm that explores a weighted graph for an optimal path from a start node to a goal node. It selects the top β nodes at each level of the search tree, where β is the beam width, and uses an evaluation function to guide the search. See more
Similar to A* search, the algorithm uses an open list and a closed list for the exploration of nodes. In this algorithm, the open list is an ordinary queue. The algorithm begins with a start node S, which also serves as the root node for the search tree. 1. … See more
Consider the following example of searching a graph from S to G. For simplicity, only the edge weights will be used for evaluation. A beam width of β = 2 will be used, meaning only the top two nodes are considered at every level. Initialize the tree and … See more
The BEAM search algorithm is commonly used in natural language processing and machine translation. An encoder is used to process the text from the source language and BEAM search … See more
As stated before, the advantage of BEAM search is that it is efficient both in time and memory. The disadvantage can be seen from the example in that a possible shortest path from S … See more
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In computer science, beam search is a heuristic search algorithm that explores a graph by expanding the most promising node in a limited set. Beam search is a modification of best-first search that reduces its memory requirements. Best-first search is a graph search which orders all partial solutions (states) according to some heuristic. But in beam search, only a predetermined number of best partial solutions are kept as candidates. It is thus a greedy algorithm.
Wikipedia · Text under CC-BY-SA license- Estimated Reading Time: 4 mins
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