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Artificial Intelligence MCQs with Answers

Practice important Artificial Intelligence MCQs with answers and explanations.

Multiple Choice Questions

Q331: What is the main advantage of a parallel search approach in problem solving?
  • A: Reduces solution quality
  • B: Speeds up searching
  • C: Uses only one search path
  • D: Avoids mutations
View Answer
B

Q332: In the parallel hill climbing method, search instances:
  • A: Start from one position
  • B: Start from multiple positions
  • C: Do not interact
  • D: Always move downhill
View Answer
B

Q333: How do parallel hill climbing instances improve their search?
  • A: By working independently
  • B: By interacting and evolving
  • C: By restarting from initial state
  • D: By ignoring other paths
View Answer
B

Q334: Genetic Algorithms (GA) are inspired by which natural phenomenon?
  • A: Weather changes
  • B: Human evolution
  • C: Artificial intelligence
  • D: Chemical reactions
View Answer
B

Q335: What happens to current states of different search paths in Genetic Algorithms?
  • A: They remain independent
  • B: They combine to form new paths
  • C: They stop searching
  • D: They are deleted
View Answer
B

Q336: What is "inheritance" in Genetic Algorithms?
  • A: Random changes in offspring
  • B: Transfer of attributes from parents
  • C: Choosing best solutions
  • D: Deleting weak solutions
View Answer
B

Q337: What does "mutation" refer to in Genetic Algorithms?
  • A: Small random changes
  • B: Inheriting traits
  • C: Selecting the best solution
  • D: Initializing the population
View Answer
A

Q338: What is the first step in a basic Genetic Algorithm?
  • A: Produce offspring
  • B: Start with random population
  • C: Quit immediately
  • D: Mutate solutions
View Answer
B

Q339: In a Genetic Algorithm, when is the process terminated?
  • A: After one iteration
  • B: When a satisfactory solution is found or time runs out
  • C: When all solutions fail
  • D: After all mutations
View Answer
B

Q340: Which process is NOT part of a basic Genetic Algorithm?
  • A: Evaluation
  • B: Mutation
  • C: Backtracking
  • D: Inheritance
View Answer
C

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