Computer Engineering Soft Computing MCQs with answers Page - 6

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Q. In Evolutionary programming, survival selection is

  • (A) probabilistic selection (μ+μ) selection
  • (B) (μ, λ)- selection based on the children only (μ+λ)- selection based on both the set of parent and children
  • (C) children replace the parent
  • (D) all the mentioned

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Q. In Evolutionary strategy, survival selection is

  • (A) probabilistic selection (μ+μ) selection
  • (B) (μ, λ)- selection based on the children only (μ+λ)- selection based on both the set of parent and children
  • (C) children replace the parent
  • (D) all the mentioned

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Q. In Evolutionary programming, recombination is

  • (A) doesnot use recombination to produce offspring. it only uses mutation
  • (B) uses recombination such as cross over to produce offspring
  • (C) uses various recombination operators
  • (D) none of the mentioned

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Q. In Evolutionary strategy, recombination is

  • (A) doesnot use recombination to produce offspring. it only uses mutation
  • (B) uses recombination such as cross over to produce offspring
  • (C) uses various recombination operators
  • (D) none of the mentioned

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Q. Step size in non-adaptive EP :

  • (A) deviation in step sizes remain static
  • (B) deviation in step sizes change over time using some deterministic function
  • (C) deviation in step size change dynamically
  • (D) size=1

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Q. Step size in dynamic EP :

  • (A) deviation in step sizes remain static
  • (B) deviation in step sizes change over time using some deterministic function
  • (C) deviation in step size change dynamically
  • (D) size=1

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Q. Step size in self-adaptive EP :

  • (A) deviation in step sizes remain static
  • (B) deviation in step sizes change over time using some deterministic function
  • (C) deviation in step size change dynamically
  • (D) size=1

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Q. What are normally the two best measurement units for an evolutionary algorithm?
1. Number of evaluations
2. Elapsed time
3. CPU Time
4. Number of generations

  • (A) 1 and 2
  • (B) 2 and 3
  • (C) 3 and 4
  • (D) 1 and 4

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Q. Evolutionary Strategies (ES)

  • (A) (µ,λ): select survivors among parents and offspring
  • (B) (µ+λ): select survivors among parents and offspring
  • (C) (µ-λ): select survivors among offspring only
  • (D) (µ:λ): select survivors among offspring only

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Q. In Evolutionary programming,

  • (A) individuals are represented by real- valued vector
  • (B) individual solution is represented as a finite state machine
  • (C) individuals are represented as binary string
  • (D) none of the mentioned

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