[amp_mcq option1=”Informed Search Techniques” option2=”Uninformed Search Techniques” option3=”Local Search Techniques” option4=”Informed & Uninformed Search Techniques” correct=”option3″]
The correct answer is: C. Local Search Techniques
Local search techniques are a type of search algorithm that iteratively improves a solution by making small changes to it. They are often used in problems where the goal is to find a local minimum, which is a solution that is no worse than any of its neighbors.
Local search techniques are often used in problems where the path to the goal is irrelevant. For example, in the problem of finding the shortest path between two nodes in a graph, the path to the goal is not important, only the goal itself. In this case, a local search algorithm could be used to find a good solution quickly.
Informed search techniques are a type of search algorithm that uses knowledge of the problem to guide the search process. They are often used in problems where the goal is to find the optimal solution, which is the best possible solution.
Uninformed search techniques are a type of search algorithm that does not use any knowledge of the problem to guide the search process. They are often used in problems where the goal is to find a good solution quickly, even if it is not the optimal solution.
In many problems the path to goal is irrelevant, this class of problems can be solved using local search techniques. Local search techniques are often used in problems where the goal is to find a local minimum, which is a solution that is no worse than any of its neighbors. In these problems, the path to the goal is not important, only the goal itself. In this case, a local search algorithm could be used to find a good solution quickly.