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🌿 Introduce surrogate based-optimization beside evolutionary algorithms that can significantly influence on the effort being spent for multi-objective parameter tuning

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Valavanca/compositional-system-for-hyperparameter-tuning

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Compositional Multi-objective parameter tuning

Developed system and technology for reusing surrogate modeling for parameter tuning in software Product-line/Search-based engineer.


Project structure:

- Manubot directories:

  • content contains the manuscript source, which includes markdown files as well as inputs for citations and references. See manuscript_usage.md for more information.
  • output contains the outputs (generated files) from Manubot including the resulting manuscripts. You should not edit these files manually, because they will get overwritten.
  • webpage is a directory meant to be rendered as a static webpage for viewing the HTML manuscript.
  • build contains commands and tools for building the manuscript.
  • ci contains files necessary for deployment via continuous integration. For the CI configuration, see .travis.yml.

- Latex directories


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🌿 Introduce surrogate based-optimization beside evolutionary algorithms that can significantly influence on the effort being spent for multi-objective parameter tuning

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