Evolutionary algorithms have proved to be efficient for solving
complicated optimization problems. On the other hand, the many-core
architecture in graphical cards ``General Purpose Graphic Processing
Unit'' (GPGPU) offers one of the most attractive cost/performance ratio.
Using such hardware, the manuscript shows how an efficiently implemented
genetic algorithm with a simple fitness function allows boosting the
determination of zeolite structures. A case study is presented.
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