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Mutation Operators in Genetic Algorithms

Mutation Operators in Genetic Algorithms

Assessment

Interactive Video

Computers, Mathematics, Science

9th - 12th Grade

Practice Problem

Hard

Created by

Patricia Brown

FREE Resource

This video tutorial explores various mutation operators used in genetic algorithms, including bit flip, random resetting, swap, scramble, and inversion mutations. Each operator is explained with examples, highlighting their unique characteristics and applications. The video emphasizes the importance of mutation in evolving better solutions in genetic algorithms.

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10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the primary role of mutation in genetic algorithms?

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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