AI MCQ #248: What are the main cons of hill-climbing search?

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Q248. What are the main cons of hill-climbing search?

  • a) Terminates at local optimum & Does not find optimum solution
  • b) Terminates at global optimum & Does not find optimum solution
  • c) Does not find optimum solution & Fail to find a solution
  • d) Fail to find a solution

✅ Correct Answer: A) Terminates at local optimum & Does not find optimum solution

Explanation: Algorithm terminates at local optimum values, hence fails to find optimum solution.