Mastering Parameter Control in Evolutionary Computing

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Questions and Answers

Which of the following is an example of an EA strategy parameter?

  • EA parameters
  • Task to solve
  • Optimal parameter values
  • Mutation step size (correct)

What is the motivation behind parameter control in evolutionary computing?

  • To find good parameter values (correct)
  • To vary parameter values
  • To optimize EA parameters
  • To solve a task

Why may optimal parameter values vary during a run in evolutionary computing?

  • EA parameters are rigid
  • Mutation step size varies
  • Parameter control is not effective
  • EA is a dynamic, adaptive process (correct)

What is the task of varying mutation step size in evolutionary computing?

<p>To vary parameter values (A)</p> Signup and view all the answers

What is the purpose of tuning control in evolutionary computing?

<p>To optimize EA parameters (D)</p> Signup and view all the answers

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