https://github.com/hvass-labs/optimization-papers

Archive of my older research papers on optimization
https://github.com/hvass-labs/optimization-papers

blackbox-optimization differential-evolution hyperparameter-optimization meta-heuristic particle-swarm-optimization random-search

Last synced: 11 days ago
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Archive of my older research papers on optimization

• Host: GitHub
• URL: https://github.com/hvass-labs/optimization-papers
• Owner: Hvass-Labs
• Created: 2021-01-20T14:19:42.000Z (almost 4 years ago)
• Default Branch: main
• Last Pushed: 2021-01-20T14:54:54.000Z (almost 4 years ago)
• Last Synced: 2024-10-23T20:37:46.832Z (about 2 months ago)
• Topics: blackbox-optimization, differential-evolution, hyperparameter-optimization, meta-heuristic, particle-swarm-optimization, random-search
• Homepage:
• Size: 4.53 MB
• Stars: 9
• Watchers: 3
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Optimization Papers & PhD Thesis

This is an archive of my research papers and PhD thesis on optimization.

## Papers

- [Tuning & Simplifying Heuristical Optimization (PhD Thesis)](https://github.com/Hvass-Labs/Optimization-Papers/raw/main/pedersen2010phd-thesis.pdf)

- [Simplifying Particle Swarm Optimization](https://github.com/Hvass-Labs/Optimization-Papers/raw/main/pedersen2009simplifying-pso.pdf)

- [Good Parameters for Particle Swarm Optimization](https://github.com/Hvass-Labs/Optimization-Papers/raw/main/pedersen2010good-pso-parameters.pdf)

- [Good Parameters for Differential Evolution](https://github.com/Hvass-Labs/Optimization-Papers/raw/main/pedersen2010good-de-parameters.pdf)

- [Local Unimodal Sampling](https://github.com/Hvass-Labs/Optimization-Papers/raw/main/pedersen2008lus.pdf)

## Source-Code

- [SwarmOps for Python](https://github.com/Hvass-Labs/swarmops) and [other languages](https://github.com/Hvass-Labs/swarmops-other) was used for the research in my PhD thesis and research papers.

- [MetaOps](https://github.com/Hvass-Labs/MetaOps) is my newest and most advanced research on optimization written as Python Notebooks.

## Videos

- [Videos](https://www.youtube.com/playlist?list=PL9Hr9sNUjfsl1877BS8m3yt8t_wq2IWji) with my lectures on Meta-Optimization.