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- 1. Multiple Choice
If we have elitism in our evolutionary algorithm, which of the following is TRUE:
The next generation completely replaces the current generation
The fitness of the population’s best individual cannot decrease
We use a mix of the current and new generations, typically using 10% of the new generation
- 2. Multiple Choice
Which of the following statements are true about Novelty Search:
Novelty Search requires a fitness function
Novelty Search requires a behavioural descriptor
The novelty archive stores all the encountered types of solutions
The novelty archive keeps only the best solution found.
- 3. Multiple Choice
Which of the following statements about Selection Operators is FALSE?
For each selection:
With the roulette wheel: an individual with twice the fitness of another individual is twice as likely to be selected
With a simple tournament: The individual with the most fitness will always be selected
With a simple tournament: The individual with the least fitness will never be selected
- 4. Multiple Choice
How can you deal with a fitness function that may take negative values in a roulette wheel selection operator:
It is not possible to use the roulette wheel in these cases
We can scale the fitness values between 0 and 1 and then use the roulette wheel as per usual
Use the roulette wheel as per usual
- 5. Multiple Choice
Which of the following would be the best fitness function for a robot trying to drive a car without crashing it:
The number of crashes while driving
Miles driven without crashes
Time spent in the car
- 6. Multiple Choice
When using the cross-over operator, if one of the children is the same as one of the parents, then both of the parents must be identical
True
False
- 7. Multiple Choice
Without additional mechanisms in place, like diversity preservations, an EA can get stuck at local optimums like just like gradient descent.
True
False
- 8. Multiple Choice
The cross-over operator is mandatory in Evolutionary Algorithms
True
False
- 9. Multiple Choice
Which of the following statements are true about the concept of behavioural descriptor:
It is used to define different types of solutions
It is used to compute distances between solutions
It always includes the fitness function
It is never related to the fitness function
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