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Discrete Dynamics in Nature and Society
Volume 2013 (2013), Article ID 250593, 4 pages
http://dx.doi.org/10.1155/2013/250593
Research Article

Generation of a Reconfigurable Logical Cell Using Evolutionary Computation

1Facultad de Ciencias, Universidad Autónoma de San Luis Potosí, Alvaro Obregón 64, 78000 San Luis Potosí, SLP, Mexico
2Centro de Innovación, Investigación y Desarrollo en Ingeniería Electrónica, Universidad Autónoma de Nuevo León, Km. 10 de la Nueva Carretera al Aeropuerto Internacional de Monterrey, PIIT Monterrey, 66600 Apodaca, NL, Mexico
3División de Matemáticas Aplicadas, Instituto Potosino de Investigación Científica y Tecnológica, Camino a la Presa San José 2055, Colonia Lomas 4 Sección, 78216 San Luis Potosí, SLP, Mexico

Received 26 October 2012; Revised 12 February 2013; Accepted 13 February 2013

Academic Editor: Gualberto Solís-Perales

Copyright © 2013 I. Campos-Cantón et al. 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.

Abstract

In nature, an interesting topic is about how a cell can be reconfigured in order to achieve a different task. Another interesting topic is about the learning process that seems to be a trial and error process. In this work, we present mechanisms about how to produce a reconfigurable logical cell based on the tent map. The reconfiguration is realized by modifying its internal parameters generating several logical functions in the same structure. The logical cell is built with three blocks: the initial condition generating function, the tent map, and the output function. Furthermore, we propose a reconfigurable structure based on a chaotic system and an evolutionary algorithm is used in order to tune the parameters of the cell via trial and error process.