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: http://plato.asu.edu)
Keywords for this software
References in zbMATH (referenced in 3 articles )
Showing results 1 to 3 of 3.
- Izzo, Dario; Hennes, Daniel; Simões, Luís F.; Märtens, Marcus: Designing complex interplanetary trajectories for the global trajectory optimization competitions (2016)
- 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)
- Biscani, Francesco; Izzo, Dario; Yam, Chit Hong: A global optimisation toolbox for massively parallel engineering optimisation (2010) ioport
Further publications can be found at: http://sourceforge.net/apps/mediawiki/pagmo/index.php?title=Publications