https://github.com/darioizzo/pagmo2
A C++ / Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
Science Score: 23.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
○CITATION.cff file
-
○codemeta.json file
-
○.zenodo.json file
-
✓DOI references
Found 13 DOI reference(s) in README -
✓Academic publication links
Links to: joss.theoj.org, zenodo.org -
○Academic email domains
-
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (18.0%) to scientific vocabulary
Keywords
constrained-optimization
cpp11
evolutionary-algorithms
island-model
massively-parallel
multiobjective-optimization
optimization
python3
stochastic-optimizers
type-erasure
Last synced: 5 months ago
·
JSON representation
Repository
A C++ / Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
Basic Info
- Host: GitHub
- Owner: darioizzo
- License: other
- Language: C++
- Default Branch: master
- Size: 35.3 MB
Statistics
- Stars: 1
- Watchers: 2
- Forks: 1
- Open Issues: 0
- Releases: 0
Fork of esa/pagmo2
Topics
constrained-optimization
cpp11
evolutionary-algorithms
island-model
massively-parallel
multiobjective-optimization
optimization
python3
stochastic-optimizers
type-erasure
Created about 9 years ago
· Last pushed about 3 years ago
https://github.com/darioizzo/pagmo2/blob/master/
pagmo
=====
[](https://circleci.com/gh/esa/pagmo2)
[](https://travis-ci.org/esa/pagmo2)
[](https://ci.appveyor.com/project/ci4esa/pagmo2)
[](https://codecov.io/github/esa/pagmo2?branch=master)
[](https://anaconda.org/conda-forge/pagmo)
[](https://gitter.im/pagmo2/Lobby?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)
[](https://doi.org/10.21105/joss.02338)
[](https://doi.org/10.5281/zenodo.1045336)
**IMPORTANT NOTICE**: pygmo, the Python bindings for pagmo, have been split off into a separate
project, hosted [here](https://github.com/esa/pygmo2). Please update your bookmarks!
pagmo is a C++ scientific library for massively parallel optimization. It is built around the idea of providing
a unified interface to optimization algorithms and to optimization problems and to make their deployment in
massively parallel environments easy.
If you are using pagmo as part of your research, teaching, or other activities, we would be grateful if you could star
the repository and/or cite our work. For citation purposes, you can use the following BibTex entry, which refers
to the [pagmo paper](https://doi.org/10.21105/joss.02338) in the Journal of Open Source Software:
```bibtex
@article{Biscani2020,
doi = {10.21105/joss.02338},
url = {https://doi.org/10.21105/joss.02338},
year = {2020},
publisher = {The Open Journal},
volume = {5},
number = {53},
pages = {2338},
author = {Francesco Biscani and Dario Izzo},
title = {A parallel global multiobjective framework for optimization: pagmo},
journal = {Journal of Open Source Software}
}
```
The DOI of the latest version of the software is available at [this link](https://doi.org/10.5281/zenodo.1045336).
The full documentation can be found [here](https://esa.github.io/pagmo2/).
Upgrading from pagmo 1.x.x
==========================
If you were using the old pagmo, have a look here on some technical data on what and why a completely
new API and code was developed: https://github.com/esa/pagmo2/wiki/From-1.x-to-2.x
You will find many tutorials in the documentation, we suggest to skim through them to
realize the differences. The new pagmo (version 2) should be considered (and is) as an entirely different code.
Owner
- Name: Dario Izzo
- Login: darioizzo
- Kind: user
- Location: Noordwijk
- Company: European Space Agency
- Website: www.esa.int/act
- Repositories: 15
- Profile: https://github.com/darioizzo