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A Stochastic Multi-objective Optimizer for Cadence Virtuoso (SMOC)

Client: Python -V client Server: Python -V server License: GPL v3

SMOC is a stochastic circuit optimizer based on the NSGA-II genetic algorithm (GA) for Cadence Virtuoso, written in Python. The GA is implemented using the DEAP library.

MORE INFO COMING SOON!!!

Prerequisites

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Python versions

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Required packages

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Usage

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Example

CHECK TUTORIAL (Coming soon!!!)

Extras

You can find useful documents related to this project, but that doesn't fit in the project structure, in this public repository.

Contributing

  1. Fork it!
  2. Create your feature branch: git checkout -b my-new-feature
  3. Commit your changes: git commit -am 'Add some feature'
  4. Push to the branch: git push origin my-new-feature
  5. Submit a pull request :D

Versioning

We use SemVer for versioning. For the versions available, see the releases on the project repository.

Authors

License

This project is licensed under the GPLv3 License - see the project LICENSE file for details.

Acknowledgments

TODO: Write acknowledgments.

smoc's People

Contributors

mdmfernandes avatar

Watchers

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