Please use this identifier to cite or link to this item: http://repositorio.inesctec.pt/handle/123456789/5567
Title: A framework for hardware cellular genetic algorithms: An application to spectrum allocation in cognitive radio
Authors: Dos Santos,PV
José Carlos Alves
João Canas Ferreira
Issue Date: 2013
Abstract: The genetic algorithm (GA) is an optimization metaheuristic that relies on the evolution of a set of solutions (population) according to genetically inspired transformations. In the variant of this technique called cellular GA, the evolution is done separately for subgroups of solutions. This paper describes a hardware framework capable of efficiently supporting custom accelerators for this metaheuristic. This approach builds a regular array of problem-specific processing elements (PEs), which perform the genetic evolution, connected to shared memories holding the local subpopulations. To assist the design of the custom PEs, a methodology based on highlevel synthesis from C++ descriptions is used. The proposed architecture was applied to a spectrum allocation problem in cognitive radio networks. For an array of 5×5 PEs in a Virtex-6 FPGA, the results show a minimum speedup of 22× compared to a software version running on a PC and a speedup near 2000× over a MicroBlaze soft processor. © 2013 IEEE.
URI: http://repositorio.inesctec.pt/handle/123456789/5567
http://dx.doi.org/10.1109/fpl.2013.6645599
metadata.dc.type: conferenceObject
Publication
Appears in Collections:CRAS - Articles in International Conferences
CTM - Articles in International Conferences

Files in This Item:
File Description SizeFormat 
P-009-CAQ.pdf122.56 kBAdobe PDFThumbnail
View/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.