https://github.com/ovidner/openmdao-deap

A proof-of-concept of using DEAP as an optimization driver for OpenMDAO.
https://github.com/ovidner/openmdao-deap

deap mdo openmdao optimization

Last synced: about 1 year ago
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A proof-of-concept of using DEAP as an optimization driver for OpenMDAO.

• Host: GitHub
• URL: https://github.com/ovidner/openmdao-deap
• Owner: ovidner
• Created: 2018-12-04T09:45:22.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2019-05-17T21:38:44.000Z (about 7 years ago)
• Last Synced: 2025-02-08T06:31:06.588Z (over 1 year ago)
• Topics: deap, mdo, openmdao, optimization
• Language: Python
• Size: 26.4 KB
• Stars: 0
• Watchers: 3
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
OpenMDAO-DEAP

=============

A proof-of-concept of using DEAP as an optimization driver for OpenMDAO.

Check out `tests/test_benchmarks.py` for a few pointers on how to use this.

# What works?

* Optimizing unconstrained models

# What's borken?

* Probably everything else

# How do I run the tests?

* Get [Poetry](https://poetry.eustace.io).

* `poetry install`

* `poetry run pytest`