Quiz – Design & Computation – 03

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Question 1 of 8
1. Question
Once an algorithm for generating design variants has been created, it becomes possible to automatically search for an optimal solution. Basically there are two approaches for such a search: exhaustive and heuristic search. Which of the following sentences applies to exhaustive search? (multiple answers)
- Every single variant is generated and evaluated. A ranking from the best to the worst variant can be created.
- Certain tricks/shortcuts are applied to more quickly browse through the set of variants (design space).
- This approach must be used, when the number of variants (design space) is very large.
- This approach can be used, when the number of variants (design space) is rather small.
- This approach ensures, that among the variants in the design space the optimal solution is found.
- This approach does not ensure, that the optimal solution is found, because not all variants are being investigated.
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Question 2 of 8
2. Question
The evolutionary strategy is a heuristic search method for quickly arriving at a solution in a large design space. Please bring the following steps of such a computational evolutionary process in the right order!
- Generate a new population by slightly varying (mutating) the design variants from the previous generation, combining them (crossover) or by randomly creating completely new ones.
- Create an initial population (set of design variants) by randomly setting parameters (generation zero).
- Repeat the process until a well performing instance (design variant) is found (or until no improvement in performance is made).
- Sort out the poorly performing variants and take the well performing to the next stage.
- Analyse and evaluate the performance of all instances (design variants) of the current generation.
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Question 3 of 8
3. Question
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Question 4 of 8
4. Question
What is the possibly greatest advantage of a computational search for design?
- It ensures that the best solution is definitely found because all design variants are systematically investigated.
- It may find solutions you wouldn’t have found by hand, because as humans we have preconception about how a good solution looks like – the computer doesn’t.
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Question 5 of 8
5. Question
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Question 6 of 8
6. Question
Once an algorithm for generating design variants has been created, it becomes possible to automatically search for an optimal solution. Basically there are two approaches for such a search: exhaustive and heuristic search. Which of the following sentences applies to exhaustive search? (multiple answers)
- Every single variant is generated and evaluated. A ranking from the best to the worst variant can be created.
- Certain tricks/shortcuts are applied to more quickly browse through the set of variants (design space).
- This approach must be used, when the number of variants (design space) is very large.
- This approach can be used, when the number of variants (design space) is rather small.
- This approach ensures, that among the variants in the design space the optimal solution is found.
- This approach does not ensure, that the optimal solution is found, because not all variants are being investigated.
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Question 7 of 8
7. Question
The evolutionary strategy is a heuristic search method for quickly arriving at a solution in a large design space. Please bring the following steps of such a computational evolutionary process in the right order!
- Sort out the poorly performing variants and take the well performing to the next stage.
- Create an initial population (set of design variants) by randomly setting parameters (generation zero).
- Analyse and evaluate the performance of all instances (design variants) of the current generation.
- Generate a new population by slightly varying (mutating) the design variants from the previous generation, combining them (crossover) or by randomly creating completely new ones.
- Repeat the process until a well performing instance (design variant) is found (or until no improvement in performance is made).
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Question 8 of 8
8. Question
What is the possibly greatest advantage of a computational search for design?
- It ensures that the best solution is definitely found because all design variants are systematically investigated.
- It may find solutions you wouldn’t have found by hand, because as humans we have preconception about how a good solution looks like – the computer doesn’t.
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Incorrect

Parametric Urban Design :: PUD 25.2 (WiSe25/26)

Quiz – Design & Computation – 03

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