Hill Climbing is a heuristic optimization process that iteratively advances towards a better solution at each step in order to find the best solution in a given search space.

What is the primary objective of the hill climbing algorithm? a. To always select the steepest ascent path in the search space b. To explore all possible paths equally until the goal is found c. To reach the highest point (maximum) in the search space d. To minimize the total cost from the start node to the goal node

What are the main cons of hill-climbing search?1 pointTerminates at local optimum & Does not find optimum solutionTerminates at global optimum & Does not find optimum solutionDoes not find optimum solution & Fail to find a solutionFail to find a solutionOther:

________ does more work when each assignment is added to the current partial solution.a)Simple hill Climbingb)Forward searchc)Steepest-Ascent hill-climbingd)Backtrack search

) Mow Means-Ends Analysis Algorithm wark? Explainusing a suitable exampleb) What are the various features of the hill climbing algorithm’ | xpluin using a statespuce diagram,¢) Differentiate benween backtrace king and intelligent backtrackingChatGPTChatGPT

Which is the most straightforward approach for planning algorithm?ans.State-space searchBest-first searchHill-climbing searchDepth-first search Previous Marked for Review Next