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32.7.4. Genetic Algorithms
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Mixed questions from across the chapter. Your answers get marked.
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4 cards from this lesson. Good the night before a test.
Try these first
- 1.
What are genetic algorithms?
Hint
Think of how nature works in terms of evolution.
- 2.
Name one process involved in genetic algorithms.
Hint
These processes are related to how new solutions are created.
- 3.
What do genetic algorithms mimic from nature?
- Natural selection
- Food chains
- Climate change
Hint
Think about how species evolve over time.
- 4.
True or False: Mutation in GAs always produces the best solution.
- True
- False
Hint
Consider what mutation means in both biology and algorithms.
- 5.
Propose a method for implementing genetic algorithms in optimizing the material mix of a new sustainable concrete designed for a high-impact construction project.
Hint
Consider what factors you need to measure the performance of the mixes.
- 6.
Critique the effectiveness of genetic algorithms versus traditional optimization methods in material selection for construction. What are the pros and cons?
Hint
Think about the balance between efficiency gains and the risks associated with complexity.
Exercises
Total Questions
2
Estimated Time
4 min
Passing Score
70%
Instructions
- Read each question carefully
- You can use hints if you need help
- Complete all questions before submitting
4 more questions available
Enrol freeQuiz
Total Questions
2
Estimated Time
4 min
Passing Score
70%
Instructions
- Read each question carefully
- You can use hints if you need help
- Complete all questions before submitting
1 more question available
Enrol freeChallenge Problems
Total Questions
2
Estimated Time
4 min
Passing Score
70%
Instructions
- Read each question carefully
- You can use hints if you need help
- Complete all questions before submitting