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Heuristic Search MCQ
10 Conceptual Questions with In-Depth Technical Explanations
Explore informed search: A* algorithm, admissible heuristics, consistent heuristics, Greedy Best-First, and evaluation function f(n)=g(n)+h(n).
Heuristic Search Questions
Select an answer to reveal detailed technical explanation and formulas.
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What is the evaluation function f(n) used in the A* Search algorithm?
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What does it mean for a heuristic h(n) to be 'Admissible'?
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What does it mean for a heuristic h(n) to be 'Consistent' (or Monotonic)?
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What is Greedy Best-First Search, and what is its primary operational flaw?
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If heuristic h_2(n) >= h_1(n) for all non-goal nodes n, and both are admissible, what is said about h_2 compared to h_1?
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Which heuristic is admissible for solving the 8-puzzle (or 15-puzzle) tile sliding game?
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What is IDA* (Iterative Deepening A*) search?
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What is the Straight-Line Distance (Euclidean Distance as the crow flies) heuristic used in pathfinding maps?
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What is Weighted A* (W-A*) search, and why is it used in robotics and gaming?
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About Heuristic Search Interview Questions & Quiz
These Heuristic Search multiple choice questions are curated to prepare engineers, researchers, and data science students for top technical interviews, machine learning certifications, and university exams.
Every MCQ incorporates core mathematical formulas, architectural tradeoffs, and practical algorithmic considerations. Practicing these questions guarantees a solid foundational and conceptual mastery of Heuristic Search.