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.