- author = "Daniel Lombrana Gonzalez and Francisco {Fernandez de Vega} and Leonardo Trujillo and Gustavo Olague and Lourdes Araujo and Pedro Castillo and Juan Julian Merelo and Ken Sharman",
- title = "Increasing {GP} Computing Power for Free via Desktop {GRID} Computing and Virtualization",
- booktitle = "17th Euromicro International Conference on Parallel, Distributed and Network-based Processing",
- year = "2009",
- month = "18-20 " # feb,
- pages = "419--423",
- address = "Weimar, Germany",
- isbn13 = "978-0-7695-3544-9",
- keywords = "genetic algorithms, genetic programming, BOINC framework, GP source code, desktop grid computing, evolutionary algorithms, genetic programming computing power, volunteer computing, grid computing, software engineering",
-
DOI = "
doi:10.1109/PDP.2009.25",
- ISSN = "1066-6192",
- abstract = "This paper presents how it is possible to increase the genetic programming (GP) computing power (CP) for free, via volunteer computing (VC), using the well known framework BOINC plus a new ``virtualization'' layer which adds all the benefits from the virtualization paradigm. Two different experiments, employing a standard GP tool and a complex GP system, are performed with distributed PCs over several cities to show the free achieved CP by means of VC, without the necessity of modifying or adapting the original GP source code. The methodology can be easily extended to evolutionary algorithms (EAs).",
-
notes = "See also arXiv https://arxiv.org/abs/0801.1210
Also known as \cite{4912963}",
