13 Apr 2018

Pagmo / Pygmo

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.

Efficient implementantions of bio-inspired and evolutionary algorithms are sided to state-of the art optimization algorithms (Simplex Methods, SQP methods, interior points methods ….) and can be easily mixed (also with your newly invented algorithms) to build a super-algorithm exploiting algoritmic cooperation via the asynchronous, generalized island model.

Pagmo and pygmo can be used to solve constrained, unconstrained, single objective, multiple objective, continuous and integer optimization problems, stochastic and deterministic problems, as well as to perform research on novel algorithms and paradigms and easily compare them to state of the art implementations of established ones.

The code is used at the European Space Agency in the context of interplanetary trajectory optimisation, orbit determination and more ...

pygmo can be installed, in some commonly used platform, using pip and conda package managers.

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Advanced Concepts Team