How many designs are generated while performing optimization using Optislang with NLPQL?

- January 17, 2022 at 12:25 am
  
  agarwa20
  Subscriber
  
  Is there some way to fix the number of result designs that are generated on optimization like how for sensitivity analysis the number of samples can be fixed.
- August 1, 2022 at 12:34 pm
  
  Markus Wagner
  Ansys Employee
  
  Hello agarwa20,
  the NLPQL is a gradient-based optimization algorithm using by default a central differences scheme. So, you can not specify a fixed number of samples. You find more details in the “Help” e.g. here
  https://ansyshelp.ansys.com/account/secured?returnurl=/Views/Secured/corp/v222/en/opti_multi_disc/opti_multi_disc_single_objective_opt.html%23opti_multi_disc_gradient_based_methods
  If you like to fix the number of samples beforehand, you may choose a nature inspired optimization algorithm like a “Evolutionary Algorithm”. You also find more information in the “Help” on this kind of algorithms e.g. here
  https://ansyshelp.ansys.com/account/secured?returnurl=/Views/Secured/corp/v222/en/opti_ug/opti_ug_opti_strategies.html%23opti_ug_nature_inspired
  Best regards,
  Markus

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