A Genetically Programmable Hybrid Virtual Reconfigurable Architecture for Image Filtering Applications

Created by W.Langdon from gp-bibliography.bib Revision:1.7615

@InProceedings{Almeida:2016:SIBGRAPI,

• author = "M. A. Almeida and E. C. Pedrino and M. C. Nicoletti",
• booktitle = "2016 29th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI)",
• title = "A Genetically Programmable Hybrid Virtual Reconfigurable Architecture for Image Filtering Applications",
• year = "2016",
• pages = "152--157",
• abstract = "A new and efficient automatic hybrid method, called Hy-EH, based on Virtual Reconfigurable Architectures (VRAs) and implemented in Field Programmable Gate Arrays (FPGAs) is proposed, for a hardware-embedded construction of image filters. The method also encompass an evolutionary software system, which represents the chromosome as a bi-dimensional grid of function elements (FEs), entirely parametrised using the Verilog-HDL (Verilog Hardware Description Language), which is reconfigured using the MATLAB toolbox GPLAB, before its download into the FPGA. In the so-called intrinsic proposals, evolutionary processes take place internally to the hardware, in a pre-defined fixed way, in extrinsic proposals evolutionary processes happen externally to the hardware. The hybrid Hy-EH method, described in this paper allows for the intrinsic creation of a flexible-sized hardware, in an extrinsic way i.e., by means of an evolutionary process that happens externally to the hardware. Hy-EH is also a convenient choice as far as extrinsic methods are considered, since it does not depend on a proprietary solution for its implementation. A comparative analysis of using the Hy-EH versus an existing intrinsic proposal, in two well-known problems, has been conducted. Results show that by using Hy-EH there was little hardware complexity due to the optimised and more flexible use of shorter chromosomes.",
• keywords = "genetic algorithms, genetic programming",
• DOI = "doi:10.1109/SIBGRAPI.2016.029",
• month = oct,
• notes = "Also known as \cite{7813028}",

}

Genetic Programming entries for M A Almeida Emerson Carlos Pedrino Maria do Carmo Nicoletti

Citations