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)
References in zbMATH (referenced in 1 article )
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- Biscani, Francesco; Izzo, Dario; Yam, Chit Hong: A global optimisation toolbox for massively parallel engineering optimisation (2010)
Further publications can be found at: http://sourceforge.net/apps/mediawiki/pagmo/index.php?title=Publications