[amp_mcq option1=”Needy local search” option2=”Heuristic local search” option3=”Greedy local search” option4=”Optimal local search” correct=”option3″]
The correct answer is C. Greedy local search.
Greedy local search is a heuristic algorithm that always chooses the locally optimal solution at each step. This means that it always chooses the solution that is better than all of its neighbors, without considering any other solutions that might be better. This can sometimes lead to suboptimal solutions, but it is often a very efficient way to find good solutions to problems.
Needy local search is a type of local search algorithm that is designed to avoid getting stuck in local optima. It does this by occasionally making moves that are not locally optimal, in order to explore the search space more thoroughly.
Heuristic local search is a type of local search algorithm that uses a heuristic function to guide its search. A heuristic function is a function that estimates the cost of reaching the goal from a given state. Heuristic local search can often find better solutions than greedy local search, because it takes into account the information provided by the heuristic function.
Optimal local search is a type of local search algorithm that is guaranteed to find the optimal solution to a problem. However, it is often very slow, because it has to explore all of the possible solutions before it can find the optimal one.
In conclusion, hill climbing is sometimes called greedy local search because it grabs a good neighbor state without thinking ahead about where to go next.