Metadata-Version: 2.1
Name: Clinamen2
Version: 2024.7.1
Summary: a versatile implementation of the Cholesky CMA-ES
Author-email: Ralf Wanzenböck <ralf.wanzenboeck@tuwien.ac.at>
License: Apache License 2.0
Classifier: Development Status :: 5 - Production/Stable
Classifier: Operating System :: OS Independent
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Topic :: Scientific/Engineering :: Chemistry
Classifier: Topic :: Scientific/Engineering :: Physics
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE
License-File: NOTICE
License-File: AUTHORS
Requires-Dist: ase >=3.22
Requires-Dist: numpy >=1.20
Requires-Dist: scipy >=1.8
Requires-Dist: dask >=2022.9.0
Requires-Dist: distributed >=2022.9.0
Requires-Dist: jinja2 >=3.1.2
Requires-Dist: dill >=0.3.5.1
Requires-Dist: tqdm >=4.63.0
Requires-Dist: packaging >=23.1
Provides-Extra: doc
Requires-Dist: sphinx ; extra == 'doc'
Requires-Dist: sphinx-autodoc-typehints ; extra == 'doc'
Requires-Dist: sphinx-rtd-theme ; extra == 'doc'
Provides-Extra: test
Requires-Dist: pytest ; extra == 'test'
Requires-Dist: pytest-datadir ; extra == 'test'

# Clinamen2

**Clinamen2** is a Python implementation of the CMA-ES algorithm designed with an emphasis on modularity and flexibility. It can be considered a spiritual successor of [Clinamen](https://gitlab.com/Marrigoni/clinamen/) written from scratch.

## General description

This repository contains releases of the software package described in the paper

*Clinamen2: Functional-style evolutionary optimization in Python for atomistic structure searches*

Ralf Wanzenböck, Florian Buchner, Péter Kovács, Georg K. H. Madsen & Jesús Carrete

Computer Physics Communications 297 (2024), 109065

DOI: [10.1016/j.cpc.2023.109065](https://doi.org/10.1016/j.cpc.2023.109065)

## Quick start

For details on how to set up and run **Clinamen2** and a selection of examples, please see the [GitHub pages](https://madsen-s-research-group.github.io/clinamen2-public-releases/source/getting_started.html).
