Increasing GP Computing Power for Free via Desktop GRID Computing and Virtualization.
Daniel Lombraña Gonzalez, Francisco Fernández de Vega, Leonardo Trujillo, Gustavo Olague,
Lourdes Araujo, Pedro A. Castillo, Juan Julián Merelo Guervós, Ken Sharman

Proc. Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP 2009 )
IIEEE Computer Society, pp. 419-423 (2009).

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).