Artificial Intelligence MCQs with Answers
Practice important Artificial Intelligence MCQs with answers and explanations.
Multiple Choice Questions
Q341: In Genetic Algorithms, which individuals are more likely to survive and reproduce?
- A: Random individuals
- B: Better adapted individuals
- C: Weak individuals
- D: Oldest individuals
View Answer
B
Q342: Which of the following best defines the "fitness" concept in Genetic Algorithms?
- A: Number of mutations
- B: Quality of solutions
- C: Number of offspring
- D: Age of individual
View Answer
B
Q343: What is the role of the population in Genetic Algorithms?
- A: Single solution to problem
- B: Multiple candidate solutions
- C: Mutation only
- D: Inheritance only
View Answer
B
Q344: The main goal of hill climbing in search algorithms is to:
- A: Reach the bottom of the hill
- B: Reach the top of the hill
- C: Maintain the current position
- D: Avoid movement
View Answer
B
Q345: Genetic Algorithms produce the next generation using:
- A: Only mutation
- B: Only inheritance
- C: Inheritance and mutation
- D: Random guessing
View Answer
C
Q346: In the GA problem of 32-bit computer words, what is the target string composed of?
- A: All zeros
- B: All ones
- C: Alternating bits
- D: Random bits
View Answer
B
Q347: How many computer words are initially created in the 32-bit GA problem?
- A: 50
- B: 10
- C: 100
- D: 32
View Answer
C
Q348: What does the GA algorithm count in each word during evaluation?
- A: Number of zeros
- B: Number of ones
- C: Number of toggled bits
- D: Number of mutations
View Answer
B
Q349: In the 32-bit word problem, how many words with the most 1s are kept after evaluation?
- A: 5
- B: 10
- C: 20
- D: 50
View Answer
B
Q350: What operation is performed to generate new words from each existing word in the mutation-only GA approach?
- A: Toggle a random bit
- B: Swap two bits
- C: Set all bits to 1
- D: Reverse bits
View Answer
A