Evolutionary Algorithm Variants

Evolutionary Algorithm Variants

University

10 Qs

quiz-placeholder

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Evolutionary Algorithm Variants

Evolutionary Algorithm Variants

Assessment

Quiz

Computers

University

Hard

Created by

Nur Izzati Ab Kader

Used 8+ times

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10 questions

Show all answers

1.

MULTIPLE SELECT QUESTION

30 sec • 1 pt

Which of the following is/are discrete optimization problem(s)?

Travelling salesman problem

Robot control

Chess playing program

Prediction of stock prices

Knapsack problem

2.

MULTIPLE SELECT QUESTION

45 sec • 1 pt

Which of the following statement(s) about initialization in Evolutionary Algorithms is/are wrong?

Candidate solutions are normally randomly generated

Initialization is about generating candidate solutions

Mutation of candidates is normally applied during the initialization

Heuristics for generating candidates cannot be applied during the initialization

3.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

Exploration and exploitation should not be combined in Evolutionary Algorithms.

True

False

4.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

Exploitation in search is concerned with improving the current best solution by local search.

True

False

5.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

If we failed to strike a balance between exploitation and exploration is evolutionary algorithms, very often the search will be getting stuck in local optima.

True

False

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Exploration in search is concerned with global search. It focuses on exploring the unexplored regions in a search space.

True

False

7.

MULTIPLE SELECT QUESTION

45 sec • 1 pt

Which of the following statement(s) about variation operators in Evolutionary Algorithms is/are correct?

Variation operators are selection operators

Variation operators act on population level

Variation operators act on individual level

Examples of variation operators are crossover and mutation

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