1. What is the primary purpose of the A algorithm?*
A) Sorting elements
B) Pathfinding and graph traversal
C) Data compression
D) Image processing
Answer: B) Pathfinding and graph traversal
2. Which heuristic function is commonly used in the A algorithm?*
A) Manhattan distance
B) Euclidean distance
C) Chebyshev distance
D) All of the above
Answer: D) All of the above
3. In A, what does the f(n) value represent?*
A) The cost to reach node n
B) The estimated cost from node n to the goal
C) The sum of the actual cost to reach n and the estimated cost to the goal
D) The heuristic cost
Answer: C) The sum of the actual cost to reach n and the estimated cost to the goal
4. Which of the following is true about the A algorithm?*
A) It is always optimal and complete
B) It is always optimal but not complete
C) It is complete but not always optimal
D) It is neither complete nor optimal
Answer: C) It is complete but not always optimal
5. In the A algorithm, what is the purpose of the heuristic function h(n)?*
A) To calculate the path cost
B) To estimate the cost from node n to the goal
C) To store the parent node
D) To keep track of visited nodes
Answer: B) To estimate the cost from node n to the goal
6. What type of search strategy does A employ?*
A) Depth-first search
B) Breadth-first search
C) Best-first search
D) Random search
Answer: C) Best-first search
7. Which property does the heuristic function h(n) need to guarantee that A is optimal?*
A) It needs to be consistent (monotonic)
B) It needs to be random
C) It needs to be zero
D) It needs to be exponential
Answer: A) It needs to be consistent (monotonic)
8. What is the main advantage of using the D algorithm over A?**
A) It provides a more detailed path
B) It is more efficient in static environments
C) It is designed for dynamic environments
D) It has better heuristic functions
Answer: C) It is designed for dynamic environments
9. In the D algorithm, what happens when an obstacle is detected in a previously explored area?*
A) The algorithm recalculates the entire path from scratch
B) The algorithm updates only the affected part of the path
C) The algorithm ignores the obstacle
D) The algorithm stops and fails
Answer: B) The algorithm updates only the affected part of the path
10. What is the primary goal of the D Lite algorithm?*
A) To improve pathfinding in static environments
B) To provide a simpler and more efficient version of D*
C) To enhance the performance of A*
D) To handle dynamic obstacle avoidance
Answer: B) To provide a simpler and more efficient version of D*
11. Which function in the A algorithm is used to track the cost of the path from the start node to the current node?*
A) g(n)
B) h(n)
C) f(n)
D) c(n)
Answer: A) g(n)
12. In the A algorithm, what is the role of the open list?*
A) To store nodes that have been fully explored
B) To store nodes that need to be explored
C) To store nodes that are currently not reachable
D) To store nodes that are blocked by obstacles
Answer: B) To store nodes that need to be explored
13. Which of the following statements is true about the D algorithm?*
A) It is used for offline pathfinding
B) It requires a static map of the environment
C) It updates paths dynamically as new information becomes available
D) It does not handle obstacles
Answer: C) It updates paths dynamically as new information becomes available
14. What does the open list in the A algorithm contain?*
A) Nodes that have been visited
B) Nodes that are yet to be expanded
C) Nodes that are part of the final path
D) Nodes that are unreachable
Answer: B) Nodes that are yet to be expanded
15. What is the key difference between the A algorithm and Dijkstra’s algorithm?*
A) A* uses a heuristic to guide the search, while Dijkstra’s algorithm does not
B) Dijkstra’s algorithm uses a heuristic to guide the search, while A* does not
C) A* is less efficient than Dijkstra’s algorithm
D) Dijkstra’s algorithm is designed for dynamic environments, while A* is not
Answer: A) A* uses a heuristic to guide the search, while Dijkstra’s algorithm does not
16. In the context of the A algorithm, what is a node?*
A) A point in the search space representing a location or state
B) A function used to calculate costs
C) A path from the start to the goal
D) An obstacle in the environment
Answer: A) A point in the search space representing a location or state
17. What is the purpose of the closed list in the A algorithm?*
A) To store nodes that are yet to be expanded
B) To store nodes that have been fully explored
C) To store nodes that are blocked by obstacles
D) To store nodes that are part of the final path
Answer: B) To store nodes that have been fully explored
18. Which algorithm is particularly useful in applications where the environment changes frequently?
A) A*
B) Dijkstra’s Algorithm
C) D*
D) Greedy Best-First Search
Answer: C) D*
19. In A, what does the h(n) function represent?*
A) The cost of moving to node n
B) The total cost from the start node to node n
C) The estimated cost from node n to the goal node
D) The distance between two nodes
Answer: C) The estimated cost from node n to the goal node
20. What does the D algorithm primarily optimize for?*
A) Static pathfinding
B) Memory usage
C) Pathfinding in dynamic environments
D) Sorting of nodes
Answer: C) Pathfinding in dynamic environments
21. What does the term consistent heuristic mean in the context of the A algorithm?*
A) The heuristic function provides the same estimate for all nodes
B) The heuristic function never overestimates the true cost
C) The heuristic function is the same for every iteration
D) The heuristic function is always zero
Answer: B) The heuristic function never overestimates the true cost
22. Which of the following is NOT a feature of the D algorithm?*
A) It updates paths when obstacles are detected
B) It requires a complete map of the environment
C) It adjusts to changes in the environment dynamically
D) It performs efficient re-planning in response to changes
Answer: B) It requires a complete map of the environment
23. How does the A algorithm determine the priority of nodes in the open list?*
A) Based on the g(n) value
B) Based on the h(n) value
C) Based on the f(n) value
D) Based on the distance between nodes
Answer: C) Based on the f(n) value
24. In the D algorithm, what is the role of the delta parameter?*
A) To define the amount by which paths are adjusted when new information is received
B) To specify the initial cost of a path
C) To set the goal node for the pathfinding
D) To control the number of nodes in the open list
Answer: A) To define the amount by which paths are adjusted when new information is received
25. What is the main advantage of using the D Lite algorithm over the original D?*
A) It is faster and requires less memory
B) It supports offline pathfinding
C) It can handle larger maps
D) It is more complex and less efficient
Answer: A) It is faster and requires less memory
26. Which of the following is a common application of the A algorithm?*
A) Game development for pathfinding
B) Data compression
C) Image recognition
D) Network routing
Answer: A) Game development for pathfinding
27. In the A algorithm, what is the function of the g(n) value?*
A) The estimated cost from node n to the goal
B) The cost to reach node n from the start node
C) The heuristic estimate of the path cost
D) The total path cost from the start to the goal
Answer: B) The cost to reach node n from the start node
28. What does the path smoothing technique in A aim to achieve?*
A) To make the path more direct and less jagged
B) To increase the length of the path
C) To adjust the path dynamically
D) To improve the heuristic function
Answer: A) To make the path more direct and less jagged
29. Which heuristic function is suitable for a grid-based pathfinding problem?
A) Manhattan distance
B) Euclidean distance
C) Diagonal distance
D) All of the above
Answer: D) All of the above
30. Which aspect of the D algorithm allows it to adapt to changes in the environment?*
A) The use of a static heuristic function
B) The ability to update the path incrementally
C) The use of a complete map of the environment
D) The reliance on precomputed paths
Answer: B) The ability to update the path incrementally