https://github.com/esa/pagmo2

A C++ platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
https://github.com/esa/pagmo2

artificial-intelligence evolutionary-algorithms evolutionary-strategy genetic-algorithm metaheuristics multi-objective-optimization optimization optimization-algorithms optimization-methods optimization-tools pagmo parallel-computing parallel-processing python python3 stochastic-optimizers

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A C++ platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.

• Host: GitHub
• URL: https://github.com/esa/pagmo2
• Owner: esa
• License: gpl-3.0
• Created: 2017-01-08T21:53:43.000Z (over 8 years ago)
• Default Branch: master
• Last Pushed: 2024-10-08T09:19:53.000Z (9 months ago)
• Last Synced: 2024-10-30T01:59:25.111Z (8 months ago)
• Topics: artificial-intelligence, evolutionary-algorithms, evolutionary-strategy, genetic-algorithm, metaheuristics, multi-objective-optimization, optimization, optimization-algorithms, optimization-methods, optimization-tools, pagmo, parallel-computing, parallel-processing, python, python3, stochastic-optimizers
• Language: C++
• Homepage: https://esa.github.io/pagmo2/
• Size: 58.2 MB
• Stars: 833
• Watchers: 34
• Forks: 161
• Open Issues: 51
• Metadata Files:
  • Readme: README.md
  • License: COPYING.gpl3

Awesome Lists containing this project

• StarryDivineSky - esa/pagmo2

README

        
pagmo

=====

[![Build Status](https://img.shields.io/circleci/project/github/esa/pagmo2/master.svg?style=for-the-badge)](https://circleci.com/gh/esa/pagmo2)

[![Build Status](https://img.shields.io/github/actions/workflow/status/esa/pagmo2/main.yml?branch=master&style=for-the-badge)](https://github.com/esa/pagmo2/actions?query=workflow%3A%22GitHub+CI%22)

[![Build Status](https://img.shields.io/travis/com/esa/pagmo2?style=for-the-badge)](https://travis-ci.com/esa/pagmo2)

[![Code Coverage](https://img.shields.io/codecov/c/github/esa/pagmo2.svg?style=for-the-badge)](https://codecov.io/github/esa/pagmo2?branch=master)

[![Anaconda-Server Badge](https://img.shields.io/conda/vn/conda-forge/pagmo.svg?style=for-the-badge)](https://anaconda.org/conda-forge/pagmo)

[![Join the chat at https://gitter.im/pagmo2/Lobby](https://img.shields.io/badge/gitter-join--chat-green.svg?logo=gitter-white&style=for-the-badge)](https://gitter.im/pagmo2/Lobby?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)

[![DOI](https://joss.theoj.org/papers/10.21105/joss.02338/status.svg)](https://doi.org/10.21105/joss.02338)

[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.1045337.svg)](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.