Quilë
Quilë: C++ genetic algorithms scientific library - Published in JOSS (2023)
Science Score: 95.0%
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○CITATION.cff file
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✓codemeta.json file
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✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 4 DOI reference(s) in README and JOSS metadata -
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1 of 3 committers (33.3%) from academic institutions -
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✓JOSS paper metadata
Published in Journal of Open Source Software
Keywords
cplusplus-20
cpp
cpp-lib
cpp-libraries
cpp-library
cpp20
cpp20-lib
cpp20-library
evolutionary-algorithm
evolutionary-algorithms
evolutionary-computation
genetic-algorithm
genetic-algorithms
header-only
header-only-library
library
Last synced: 4 months ago
·
JSON representation
Repository
C++ genetic algorithms scientific library
Basic Info
Statistics
- Stars: 15
- Watchers: 1
- Forks: 4
- Open Issues: 0
- Releases: 3
Topics
cplusplus-20
cpp
cpp-lib
cpp-libraries
cpp-library
cpp20
cpp20-lib
cpp20-library
evolutionary-algorithm
evolutionary-algorithms
evolutionary-computation
genetic-algorithm
genetic-algorithms
header-only
header-only-library
library
Created about 5 years ago
· Last pushed over 2 years ago
Metadata Files
Readme
License
README
Quilë is a C++20 header-only general purpose genetic algorithms
library with no external dependencies supporting floating-point,
integer, binary and permutation representations. It is released under
the terms of the MIT License (please see LICENSE file).
The name of this library origins from fictional language Neo-Quenya
and means “color”.
This software strives to be minimal.
List of contents
doc/ Documentation.
examples/ Short examples of the library features use.
examples/ Examples.
benchmark/ Benchmark programs and benchmark results.
common/ Common files.
evenstar/ Crystal structure prediction of nanowires.
example_1/ Floating-point representation example.
example_2/ Permutation representation example.
mithril/ Crystal structure prediction of nanotubes.
logo/ Logo artwork.
paper/ Paper to The Journal of Open Source Software.
quile/ The Quilë library itself.
tutorial/ Tutorial.
Installation
The library is header-only, therefore installation on the user's
system is done by copying the library source code. In case of
GNU/Linux operating system it can be achieved by invoking following
command in terminal in some directory, e.g. in /home/${USER}/repos
directory:
git clone https://github.com/ttarkowski/quile.git
Please see the tutorial for more details.
The latest stable release is v1.0.0 available for download at:
https://github.com/ttarkowski/quile/releases/tag/v1.0.0
and described in following paper:
Tomasz Tarkowski, Quilë: C++ genetic algorithms scientific library,
Journal of Open Source Software, 8 (82), 4902 (2023). doi:
10.21105/joss.04902
List of dependencies
The library does not depend on any other software. The user only
need C++ compiler supporting C++20 standard of the language to
compile programs written with use of the library. The software is
known to work with both GCC and Clang compilers (the library was
tested on GCC 10.2.1 and Clang 13.0.1).
Compilation
To compile programs written with use of the library, please use the
following command:
g++ -std=c++20 -DNDEBUG -O3 -Wall -Wextra -pedantic \
-I/home/${USER}/repos/quile/ -pthread your_program.cc
or similar. Please see documentation and tutorial for more details.
Documentation
Documentation for the library can be generated from the source code
with use of the Doxygen tool. Please see the tutorial for more
details.
Autogenerated library documentation for v1.0.0 is available at
https://doi.org/10.5281/zenodo.7603809 .
Tutorial
If you need an easy introduction to the library, please see tutorial/
tutorial.txt file.
Support
If you need support, please visit:
https://github.com/ttarkowski/quile/discussions
and ask a question there.
Reporting issues or problems
If you find a bug in the library, please visit:
https://github.com/ttarkowski/quile/issues
and create an issue.
Contributing to the software & Feature requests
The Quilë library does not support code contributions. However, if
you need some feature to be implemented in code, please visit:
https://github.com/ttarkowski/quile/discussions
and describe your feature request. However, please note that your
request might be declined or permanently unresolved due to many
reasons———including the facts that the library strives to be minimal
and is intentionally developed as an one-person project.
Test suite
Test suite in form of the short examples of the library features use
is located in doc/examples/ directory. The Makefile for GCC compiler
is provided, so tests execution can be performed with make command.
Code statistics
* https://github.com/ttarkowski/quile/pulse
* https://www.openhub.net/p/quile
* * *
This work is a result of the project funded by the National Science
Centre of Poland (Twardowskiego 16, PL-30312 Kraków, Poland,
http://www.ncn.gov.pl/) under the grant number UMO-2016/23/B/ST3/03575.
Owner
- Name: Tomasz Tarkowski
- Login: ttarkowski
- Kind: user
- Location: Poland
- Twitter: TomaszTarkowski
- Repositories: 2
- Profile: https://github.com/ttarkowski
JOSS Publication
Quilë: C++ genetic algorithms scientific library
Published
February 07, 2023
Volume 8, Issue 82, Page 4902
Authors
Tags
genetic algorithm header-only library scientific libraryGitHub Events
Total
- Watch event: 3
- Fork event: 1
Last Year
- Watch event: 3
- Fork event: 1
Committers
Last synced: 5 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Tomasz Tarkowski | T****T@g****m | 541 |
| Daniel S. Katz | d****z@i****g | 2 |
| Vissarion Fisikopoulos | f****p@g****m | 1 |
Committer Domains (Top 20 + Academic)
ieee.org: 1
Issues and Pull Requests
Last synced: 4 months ago
All Time
- Total issues: 6
- Total pull requests: 2
- Average time to close issues: 5 days
- Average time to close pull requests: 2 days
- Total issue authors: 2
- Total pull request authors: 2
- Average comments per issue: 2.17
- Average comments per pull request: 2.0
- Merged pull requests: 2
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- mbarzegary (4)
- vissarion (2)
Pull Request Authors
- vissarion (1)
- danielskatz (1)
