PaGMO/PyGMO. Parallel Global Multiobjective Optimizer (and its Python alter ego PyGMO) offers a user-friendly access to a wide array of global and local optimization algorithms and problems. The main purpose of the software is to provide a parallelization engine common to all algorithms through the ’generalized island model’. Initially developed within the European Space Agency, the code was intended to help the automated design of interplanetary trajectories and spacecraft transfers in general. The user can implement his own problem and algorithm both in C++ and in Python. (Source:

References in zbMATH (referenced in 11 articles , 1 standard article )

Showing results 1 to 11 of 11.
Sorted by year (citations)

  1. Cocchi, G.; Liuzzi, G.; Lucidi, S.; Sciandrone, M.: On the convergence of steepest descent methods for multiobjective optimization (2020)
  2. Cooper, Kyle; Hunter, Susan R.: PyMOSO: software for multiobjective simulation optimization with R-PERLE and R-MinRLE (2020)
  3. Francesco Biscani; Dario Izzo: A parallel global multiobjective framework for optimization: pagmo (2020) not zbMATH
  4. Ioannis T. Christou: Popt4jlib: A Parallel/Distributed Optimization Library for Java (2019) arXiv
  5. Grega Vrbančič; Lucija Brezočnik; Uroš Mlakar; Dušan Fister; Iztok Fister Jr.: NiaPy: Python microframework for building nature-inspired algorithms (2018) not zbMATH
  6. Simões, Luís F.; Izzo, Dario; Haasdijk, Evert; Eiben, A. E.: Multi-rendezvous spacecraft trajectory optimization with beam P-ACO (2017)
  7. Izzo, Dario; Hennes, Daniel; Simões, Luís F.; Märtens, Marcus: Designing complex interplanetary trajectories for the global trajectory optimization competitions (2016)
  8. Klima, Richard; Bloembergen, Daan; Savani, Rahul; Tuyls, Karl; Hennes, Daniel; Izzo, Dario: Space debris removal: a game theoretic analysis (2016)
  9. Voglis, C.; Hadjidoukas, P. E.; Parsopoulos, K. E.; Papageorgiou, D. G.; Lagaris, I. E.; Vrahatis, M. N.: p-MEMPSODE: parallel and irregular memetic global optimization (2015)
  10. Hadjidoukas, P. E.; Voglis, C.; Dimakopoulos, V. V.; Lagaris, I. E.; Papageorgiou, D. G.: Supporting adaptive and irregular parallelism for non-linear numerical optimization (2014)
  11. Biscani, Francesco; Izzo, Dario; Yam, Chit Hong: A global optimisation toolbox for massively parallel engineering optimisation (2010) ioport

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