https://github.com/kalifou/data-driven-initialization-to-search

A data-driven initialization to population-based search strategies
https://github.com/kalifou/data-driven-initialization-to-search

automl evolutionary-algorithms population-based-optimization search

Last synced: 26 days ago
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A data-driven initialization to population-based search strategies

• Host: GitHub
• URL: https://github.com/kalifou/data-driven-initialization-to-search
• Owner: kalifou
• Created: 2021-10-25T10:08:03.000Z (about 3 years ago)
• Default Branch: main
• Last Pushed: 2021-11-29T11:21:36.000Z (about 3 years ago)
• Last Synced: 2024-10-22T14:42:00.574Z (2 months ago)
• Topics: automl, evolutionary-algorithms, population-based-optimization, search
• Language: Jupyter Notebook
• Homepage:
• Size: 33.5 MB
• Stars: 2
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# A Data-driven Approach to Initializing Search:

            

## Projects using this code:

  * **A Data-driven Approach to Neural Architecture Search Initialization**, *Kalifou René Traoré, Andrés Camero, Xiao Xiang Zhu, arXiv*

  * **Lessons from the Clustering Analysis of a Search Space: A Centroid-based Approach to Initializing NAS**, *Kalifou René Traoré, Andrés Camero, Xiao Xiang Zhu, Workshop on Data Science meets Optimization at IJCAI 2021 (Oral + Poster)*