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A* Algorithm · soumyaa1804/PathFinding-Visualization Wiki · GitHub
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A* Algorithm
Soumya Sharma edited this page Jul 24, 2020
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A* tree search works well, except that it takes time re-exploring the branches it has already explored. In other words, if the same node has expanded twice in different branches of the search tree, A* search might explore both of those branches, thus wasting time.
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A* Graph Search, or simply Graph Search, removes this limitation by adding this rule: do not expand the same node more than once. Heuristic. Graph search is optimal only when the forward cost between two successive nodes A and B, given by h(A) - h (B), is less than or equal to the backward cost between those two nodes g(A -> B). This property of graph search heuristic is called consistency.
Consistency: h(A) - h(B) <= g(A -> B)
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