- author = "Laurent A. Baumes and Frederic Kruger and Santiago Jimenez and Pierre Collet and Avelino Corma",
- title = "Boosting theoretical zeolitic framework generation for the determination of new materials structures using {GPU} programming",
- journal = "Physical Chemistry Chemical Physics",
- year = "2011",
- volume = "13",
- number = "10",
- pages = "4674--4678",
- keywords = "genetic algorithms, genetic programming, memetic genetic algorithm, EASEA, GPU, GPGPU, nVidia GTX 295, CUDA",
- ISSN = "1463-9076",
- publisher = "The Royal Society of Chemistry",
-
DOI = "
doi:10.1039/C0CP02833A",
- size = "5 pages",
- abstract = "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.",
-
notes = "is this GP?
Also known as \cite{C0CP02833A}",
