What is the primary role of mutation in genetic algorithms?

Mutation Operators in Genetic Algorithms

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Computers, Mathematics, Science
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9th - 12th Grade
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Hard

Patricia Brown
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10 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
To select the best candidates
To introduce diversity in the population
To ensure convergence to a solution
To eliminate weak candidates
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which mutation operator works with binary encoded genetic algorithms?
Bit Flip Mutation
Swap Mutation
Random Resetting
Inversion Mutation
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In the bit flip mutation operator, what happens to a gene with a value of 1?
It is swapped with another gene
It becomes 0
It remains 1
It is reset to a random value
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How does the random resetting mutation operator differ from the bit flip mutation operator?
It works with binary representation
It requires two parents
It works with integer representation
It does not change gene values
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the main action performed by the swap mutation operator?
Flipping bits
Resetting values
Inverting the entire chromosome
Interchanging gene positions
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In the swap mutation operator, what happens to the selected genes?
They are reset
They are inverted
They are flipped
Their values are interchanged
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the key difference between scramble and inversion mutation operators?
Scramble flips bits, inversion resets values
Scramble requires two parents, inversion requires one
Scramble shuffles genes, inversion inverts them
Scramble works with binary, inversion with integer
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