Note
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Oscillator sensitivity and optimization on MOP#
This example demonstrates how to create an optimization on MOP flow.
It uses the oscillator_sensitivity_mop.py
file to create a
sensitivity flow for an oscillator and then uses the
oscillator_optimization_on_mop.py
file to optimize the MOP
(Metamodel of Optimal Prognosis) flow. It then runs these flows.
Lastly, it explains how you can optionally save a copy of the project
to a desired location.
Perform required imports#
Perform the required imports.
from ansys.optislang.core import Optislang
import ansys.optislang.core.examples as examples
Create optiSLang instance#
Create the optiSLang instance.
osl = Optislang()
print(osl)
Get paths of example scripts and run them#
Get the paths of the example scripts and then run these scripts.
paths1 = examples.get_files("oscillator_sensitivity_mop")
paths2 = examples.get_files("oscillator_optimization_on_mop")
osl.run_python_file(paths1[0])
osl.run_python_file(paths2[0])
Run workflow#
Run the workflow created by the preceding scripts.
osl.start()
Optionally save project#
If you want to save the project to some desired location, uncomment and edit these lines:
path = r'<insert-desired-location>'
osl.save_as(os.path.join(path, "test_project.opf"))
Stop and cancel project#
Stop and cancel the project.
osl.dispose()
View generated workflow#
This image shows the generated workflow.

Total running time of the script: ( 0 minutes 0.000 seconds)