Best First Search Multiple choice Questions and Answers (MCQs)

Best First Search Multiple choice Questions and Answers (MCQs)

 Question 1 [CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
Is Best First Search a searching algorithm used in graphs.
 A True B False
Question 1 Explanation:
Best First Search is a searching algorithm used in graphs. It explores it by choosing a node by heuristic evaluation rule. It is used in solving searching for related problems.

 Question 2 [CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
Who described this Best First Search algorithm using heuristic evaluation rule?
 A Judea Pearl B Max Bezzel C Franz Nauck D Alan Turing
Question 2 Explanation:
The best first search algorithm using heuristic evaluation rule or function was proposed by an Israeli - American computer scientist and philosopher Judea Pearl.

 Question 3 [CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
Which type of best first search algorithm was used to predict the closeness of the end of path and its solution?
 A Greedy BFS B Divide and Conquer C Heuristic BFS D Combinatorial
Question 3 Explanation:
The greedy best first search algorithm was used to predict the closeness of the end of the path and its solution by some of the computer scientists.

 Question 4 [CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
What is the other name of the greedy best first search?
 A Heuristic Search B Pure Heuristic Search C Combinatorial Search D Divide and Conquer Search
Question 4 Explanation:
The greedy best first search algorithm was used to predict the closeness of the end of the path and its solution by some of the computer scientists. It is also known as Pure Heuristic Search.

 Question 5 [CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
Which algorithm is used in graph traversal and path finding?
 A A* B C* C D* D E*
Question 5 Explanation:
In computer science A* algorithm is used in graph traversal and path finding. It is a process of node finding in between a path. It is an example of the best first search.

There are 5 questions to complete.