paper.md 1.3 KB
title: 'Minimalist And Customizable Optimization Package' tags:
- Python
- Operations Research
- Multi-objective authors:
- name: Jérôme BUISINE orcid: 0000-0001-6071-744X affiliation: 1 # (Multiple affiliations must be quoted) affiliations:
- name: Univ. Littoral Côte d’Opale, LISIC Calais, France, F-62100 index: 1 date: 9 September 2020 bibliography: paper.bib
Optional fields if submitting to a AAS journal too, see this blog post:
https://blog.joss.theoj.org/2018/12/a-new-collaboration-with-aas-publishing
#aas-doi: 10.3847/xxxxx <- update this with the DOI from AAS once you know it.
#aas-journal: Astrophysical Journal <- The name of the AAS journal.
Summary
macop is an optimization Python package which not implement the whole available algorithms in the literature but let you the possibility to quickly develop and test your own algorithm and strategies. The main objective of this package is to be the most flexible as possible and hence, to offer a maximum of implementation possibilities.
Motivation
Application
Documentation with examples is available at https://jbuisine.github.io/macop/.
Acknowledgements
This work is supported by Agence Nationale de la Recherche : project ANR-17-CE38-0009