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What are the main cons of hill-climbing search?

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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

This question was addressed to me in unit test.

This question is from Local Search Problems and Optimization Problems topic in portion Problem Solving of Artificial Intelligence

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Correct answer is (a) Terminates at local optimum & Does not find optimum solution

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

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