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What is iterative deepening A star?

  • A.A star run in both directions until the searches meet
  • B.Depth first search with a cutoff on f rather than on depth
  • C.A star restarted repeatedly with increasing memory limits
  • D.Iterative deepening using a heuristic to order the successors

Answer: B

IDA star performs a depth first search that prunes any node whose f exceeds a threshold, then raises the threshold to the smallest f that was pruned and repeats, giving A star's optimality with linear memory. Its weakness is repeating work when many distinct f values exist. Memory limits, successor ordering and bidirectionality describe other variants. Replacing a depth cutoff by a cost cutoff is a small change that transfers the whole iterative deepening argument to the informed setting.

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