Difference between hillclimbing and best first search?
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So unlike BFS, the 'value' of the parent node is also taken into account. If we can't go higher, we just give up. ... In simple hill climbing, the first closer node is chosen, whereas in steepest ascent hill climbing all successors are compared and the closest to the solution is chosen.
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Hill climbing is generally used to increase the accuracy of a target function. Only one element is taken into consideration at each instance of time. One application that uses this search technique is Travelling Salesperson Problem.
Best First search is one such technique in which the distance from the search node is recorded to find out or assume the final estimated distance. Both these techniques are used in Artificial Intelligence domain.
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