best-first search - meaning and definition. What is best-first search
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What (who) is best-first search - definition

ALGORITHM
Best first search; Greedy best-first search; Pure heuristic search

best first search         
<algorithm> A graph search algorithm which optimises breadth first search by ordering all current paths according to some heuristic. The heuristic attempts to predict how close the end of a path is to a solution. Paths which are judged to be closer to a solution are extended first. See also beam search, hill climbing. (1995-12-09)
Best-first search         
Best-first search is a class of search algorithms, which explore a graph by expanding the most promising node chosen according to a specified rule.
breadth-first search         
  • BFS on [[Maze-solving algorithm]]
  • Top part of [[Tic-tac-toe]] game tree
ALGORITHM FOR SEARCHING THE NODES OF A GRAPH IN ORDER BY THEIR HOP COUNT FROM A STARTING NODE
Breadth first search; Breadth first recursion; Breadth-first traversal; BFS algorithm; Breadth-first; Breath first search; Breath-first search; Breadth-First Search; Applications of breadth-first search
<algorithm> A graph search algorithm which tries all one-step extensions of current paths before trying larger extensions. This requires all current paths to be kept in memory simultaneously, or at least their end points. Opposite of depth-first search. See also {best first search}. (1996-01-05)

Wikipedia

Best-first search

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 the best-first search as estimating the promise of node n by a "heuristic evaluation function f ( n ) {\displaystyle f(n)} which, in general, may depend on the description of n, the description of the goal, the information gathered by the search up to that point, and most importantly, on any extra knowledge about the problem domain."

Some authors have used "best-first search" to refer specifically to a search with a heuristic that attempts to predict how close the end of a path is to a solution (or, goal), so that paths which are judged to be closer to a solution (or, goal) are extended first. This specific type of search is called greedy best-first search or pure heuristic search.

Efficient selection of the current best candidate for extension is typically implemented using a priority queue.

The A* search algorithm is an example of a best-first search algorithm, as is B*. Best-first algorithms are often used for path finding in combinatorial search. Neither A* nor B* is a greedy best-first search, as they incorporate the distance from the start in addition to estimated distances to the goal.