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It is built around the idea\nof providing a unified interface to optimization algorithms and to optimization problems and to make their\ndeployment in massively parallel environments easy.\n\nIf you are using pygmo as part of your research, teaching, or other activities, we would be grateful if you could star\nthe repository and/or cite our work. For citation purposes, you can use the following BibTex entry, which refers\nto the [pygmo paper](https://doi.org/10.21105/joss.02338) in the Journal of Open Source Software:\n\n```bibtex\n@article{Biscani2020,\n  doi = {10.21105/joss.02338},\n  url = {https://doi.org/10.21105/joss.02338},\n  year = {2020},\n  publisher = {The Open Journal},\n  volume = {5},\n  number = {53},\n  pages = {2338},\n  author = {Francesco Biscani and Dario Izzo},\n  title = {A parallel global multiobjective framework for optimization: pagmo},\n  journal = {Journal of Open Source Software}\n}\n```\n\nThe DOI of the latest version of the software is available at [this link](https://doi.org/10.5281/zenodo.1045336).\n\nThe full documentation can be found [here](https://esa.github.io/pygmo2/).\n\nUpgrading from pygmo 1.x.x\n==========================\n\nIf you were using the old pygmo, have a look here on some technical data on what and why a completely new API\nand code was developed: https://github.com/esa/pagmo2/wiki/From-1.x-to-2.x\n\nYou will find many tutorials in the documentation, we suggest to skim through them to realize the differences.\nThe new pygmo (version 2) should be considered (and is) as an entirely different code.\n","funding_links":[],"categories":["Other libraries and tools"],"sub_categories":["Mesh tools"],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fesa%2Fpygmo2","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fesa%2Fpygmo2","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fesa%2Fpygmo2/lists"}