https://github.com/bbopt/catmads_prototype
Science Score: 26.0%
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○CITATION.cff file
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✓codemeta.json file
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✓.zenodo.json file
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○DOI references
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○Scientific vocabulary similarity
Low similarity (5.7%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: bbopt
- License: gpl-3.0
- Language: C++
- Default Branch: main
- Size: 24.5 MB
Statistics
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
CatMADS_prototype
Prototype implementation of CatMADS for the paper CatMADS: MESH ADAPTIVE DIRECT SEARCH FOR CONSTRAINED BLACKBOX OPTIMIZATION WITH CATEGORICAL VARIABLES.
The current code is a proof of concept. While the code is shared for transparency, it is still under development and not intended for direct reuse at this stage. The project remains under active development. It can possibly be used by setting the appropriate paths in CatMADSbuilton_NOMAD/CatMADS/CatMADS.cpp, installing the required Python packages and compiling NOMAD as described in the official guide https://nomad-4-user-guide.readthedocs.io/en/latest/Installation.html
If you are interested in using CatMADS, feel free to contact edward.halle-hannan@polymtl.ca
This repository contains 32 analytical mixed-variable optimization problems, including 16 constrained ones, for benchmarking.
Owner
- Name: Blackbox Optimization
- Login: bbopt
- Kind: organization
- Email: nomad@gerad.ca
- Location: Montréal, Qc, Canada
- Website: https://www.gerad.ca/nomad
- Repositories: 9
- Profile: https://github.com/bbopt
GitHub organization of the research group from Polytechnique Montréal and GERAD for derivative-free and blackbox optimization
GitHub Events
Total
- Member event: 1
- Public event: 1
- Push event: 4
- Create event: 2
Last Year
- Member event: 1
- Public event: 1
- Push event: 4
- Create event: 2