A parallel global multiobjective framework for optimization

A parallel global multiobjective framework for optimization: pagmo - Published in JOSS (2020)

https://github.com/esa/pagmo2-paper

Science Score: 93.0%

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    Published in Journal of Open Source Software
Last synced: 6 months ago · JSON representation

Repository

paper for JOSS on pagmo and pygmo

Basic Info
  • Host: GitHub
  • Owner: esa
  • License: lgpl-3.0
  • Language: TeX
  • Default Branch: master
  • Size: 109 KB
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Created almost 6 years ago · Last pushed over 5 years ago
Metadata Files
Readme License

README.md

dcgp-paper

This repository contains the necessary files for submitting the paper describing dcgpy to the Journal of Open Source Software JOSS.

Owner

  • Name: European Space Agency
  • Login: esa
  • Kind: organization
  • Location: Europe

The European Space Agency (ESA) is Europe’s gateway to space. Its mission is to shape the development of Europe’s space capability.

JOSS Publication

A parallel global multiobjective framework for optimization: pagmo
Published
September 13, 2020
Volume 5, Issue 53, Page 2338
Authors
Francesco Biscani
Max Planck Institute for Astronomy (Heidelberg, D)
Dario Izzo ORCID
Advanced Concepts Team, European Space Research and Technology Center (Noordwijk, NL)
Editor
Eloisa Bentivegna ORCID
Tags
C++ Python optimization evolution island model meta-heuristics

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Eloisa Bentivegna e****a@p****m 2

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