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Best-first search is a class of search algorithms which explores a graph by expanding the most promising node chosen according to a specified rule.. Judea Pearl described best-first search as estimating the promise of node n by a "heuristic evaluation function () which, in general, may depend on the description of n, the description of the goal, the information gathered by the search up to ...
A* is an informed search algorithm, or a best-first search, meaning that it is formulated in terms of weighted graphs: starting from a specific starting node of a graph, it aims to find a path to the given goal node having the smallest cost (least distance travelled, shortest time, etc.).
Best node search (BNS), originally known as fuzzified game tree search, is a minimax search algorithm, developed in 2011.The idea is that the knowledge that one subtree is relatively better than some (or all) other(s) may be propagated sooner than the absolute value of minimax for that subtree.
Best bin first is a search algorithm that is designed to efficiently find an approximate solution to the nearest neighbor search problem in very-high-dimensional spaces. The algorithm is based on a variant of the kd-tree search algorithm which makes indexing higher-dimensional spaces possible. Best bin first is an approximate algorithm which ...
B* is a best-first process, which means that it is very efficient to traverse the tree, repeatedly descending to find a leaf to expand. This section describes how to choose the node to expand. (Note: Whether or not the tree is memory-resident, is a function of the overall implementation efficiency, including how it may be mapped and/or managed ...
Beam search with width 3 (animation) 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 ...
Greedy Best First Search is a Best First Search where the node evaluation function f(n) is defined as f(n) = h(n). It is also known as "Pure Heuristic Search", since the evaluation function disregards how hard is to get to the node (I need to look for a proper reference, but I think it is Richard Korf the one that introduced the term.
Breadth-first search can be generalized to both undirected graphs and directed graphs with a given start node (sometimes referred to as a 'search key'). [4] In state space search in artificial intelligence , repeated searches of vertices are often allowed, while in theoretical analysis of algorithms based on breadth-first search, precautions ...