Process Integration and Design Optimization

Process Integration and Design Optimization

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

    • agarwa20
      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.
    • Markus
      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

      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

      Best regards,

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