Artificial Intelligence MCQ - Genetic Algorithms

11 Genetic Algorithms are

A
a class of algorithms that try and build solutions by introducing evolution and selection of the best in a population of candidate solutions
B
Methods, based on the theory of natural selection and evolutionary biology, for solving optimisation problems.
C
methods for genetically modifying ants to do ant colony optimisation
D
a heuristic search method used in artificial intelligence and computing.

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Correct AnswerOption A

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12 The Fitness Function in Genetic Algorithms is

A
method to measure how fit a candidate solution is in solving the problem.
B
the objective function for the optimization problem being solved.
C
a substitute to approximate the survival abilities of individuals in nature.
D
a least squares approximation for a polynomial.

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13 The basic idea behind Genetic Algorithms is to work with a population

A
of problem solvers that interact with each other through signs.
B
of candidate solutions to try and create better candidates by mixing genes.
C
of candidate solutions in which each candidate is heuristically refined.
D
of problem solvers each of which does an independent heuristic search.

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Correct AnswerOption B

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14 Which chemical is released by ants to keep track of their path?

A
Deoxyribonucleic acid (DNA)
B
Pheromone
C
H₂0
D
Citric acid

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Correct AnswerOption B

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15 The basic idea behind Ant Colony Optimization algorithms is to work with a population

A
of problem solvers that interact with each other through signs
B
of candidate solutions to try and create better candidates by mixing genes.
C
of candidate solutions in which each candidate is heuristically refined.
D
of problem solvers each of which does an independent heuristic search.

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Correct AnswerOption A

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Option A and D both are correct.

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