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Applied Computational Intelligence and Soft Computing
Volume 2013 (2013), Article ID 345297, 9 pages
Research Article

Using Multicore Technologies to Speed Up Complex Simulations of Population Evolution

ITESM-CEM, Carretera a Lago de Guadalupe km 3.5, Col. Margarita Maza de Juarez, 52956 Atizapan de Zaragoza, MEX, Mexico

Received 11 December 2012; Accepted 18 February 2013

Academic Editor: Cheng-Jian Lin

Copyright © 2013 Mauricio Guevara-Souza and Edgar E. Vallejo. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


We explore with the use of multicore processing technologies for conducting simulations on population replacement of disease vectors. In our model, a native population of simulated vectors is inoculated with a small exogenous population of vectors that have been infected with the Wolbachia bacteria, which confers immunity to the disease. We conducted a series of computational simulations to study the conditions required by the invading population to take over the native population. Given the computational burden of this study, we decided to take advantage of modern multicore processor technologies for reducing the time required for the simulations. Overall, the results seem promising both in terms of the application and the use of multicore technologies.