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

pagmo

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pagmo (C++) or pygmo (Python) is a 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/pygmo as part of your research, teaching, or other activities, we would be grateful if you could star the repository and/or cite our work. The DOI of the latest version and other citation resources are available at this link.

The full documentation can be found here.

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.

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