Intrinsic Evolvable Hardware in Digital Filter
Design
Y. Zhang, S. Smith, and A. Tyrrell. Applications of Evolutionary Computing,
EvoWorkshops2004: EvoBIO, EvoCOMNET, EvoHOT,
EvoIASP, EvoMUSART, EvoSTOC, volume 3005 of LNCS, page 389--398. Coimbra, Portugal, Springer Verlag, (5-7 April 2004)
Abstract
application of Intrinsic Evolvable Hardware to
real-world combinational circuit synthesis, as an
alternative to conventional approaches. The
evolutionary technique employs Cartesian Genetic
Programming at a functional level by devising compact
evolutionary processing elements and an external
genetic reconfiguration unit. The experimental results
conclude that in terms of computational effort,
filtered image signal and implementation cost, the
evolution outperforms convention approaches in most
cases.
%0 Conference Paper
%1 zhang3:evows04
%A Zhang, Yang
%A Smith, Steve L.
%A Tyrrell, Andy M.
%B Applications of Evolutionary Computing,
EvoWorkshops2004: EvoBIO, EvoCOMNET, EvoHOT,
EvoIASP, EvoMUSART, EvoSTOC
%C Coimbra, Portugal
%D 2004
%E Raidl, Guenther R.
%E Cagnoni, Stefano
%E Branke, Jurgen
%E Corne, David W.
%E Drechsler, Rolf
%E Jin, Yaochu
%E Johnson, Colin R.
%E Machado, Penousal
%E Marchiori, Elena
%E Rothlauf, Franz
%E Smith, George D.
%E Squillero, Giovanni
%I Springer Verlag
%K algorithms, cartesian computation evolutionary genetic programming,
%P 389--398
%T Intrinsic Evolvable Hardware in Digital Filter
Design
%V 3005
%X application of Intrinsic Evolvable Hardware to
real-world combinational circuit synthesis, as an
alternative to conventional approaches. The
evolutionary technique employs Cartesian Genetic
Programming at a functional level by devising compact
evolutionary processing elements and an external
genetic reconfiguration unit. The experimental results
conclude that in terms of computational effort,
filtered image signal and implementation cost, the
evolution outperforms convention approaches in most
cases.
%@ 3-540-21378-3
@inproceedings{zhang3:evows04,
abstract = {application of Intrinsic Evolvable Hardware to
real-world combinational circuit synthesis, as an
alternative to conventional approaches. The
evolutionary technique employs Cartesian Genetic
Programming at a functional level by devising compact
evolutionary processing elements and an external
genetic reconfiguration unit. The experimental results
conclude that in terms of computational effort,
filtered image signal and implementation cost, the
evolution outperforms convention approaches in most
cases.},
added-at = {2008-06-19T17:46:40.000+0200},
address = {Coimbra, Portugal},
author = {Zhang, Yang and Smith, Steve L. and Tyrrell, Andy M.},
biburl = {https://www.bibsonomy.org/bibtex/2f9f9232bbf39b5adac1924d0ade81535/brazovayeye},
booktitle = {Applications of Evolutionary Computing,
EvoWorkshops2004: {EvoBIO}, {EvoCOMNET}, {EvoHOT},
{EvoIASP}, {EvoMUSART}, {EvoSTOC}},
editor = {Raidl, Guenther R. and Cagnoni, Stefano and Branke, Jurgen and Corne, David W. and Drechsler, Rolf and Jin, Yaochu and Johnson, Colin R. and Machado, Penousal and Marchiori, Elena and Rothlauf, Franz and Smith, George D. and Squillero, Giovanni},
interhash = {606dfeb87a9f5a11db0b40b8b4b9416b},
intrahash = {f9f9232bbf39b5adac1924d0ade81535},
isbn = {3-540-21378-3},
keywords = {algorithms, cartesian computation evolutionary genetic programming,},
month = {5-7 April},
notes = {EvoWorkshops2004},
pages = {389--398},
publisher = {Springer Verlag},
publisher_address = {Berlin},
series = {LNCS},
timestamp = {2008-06-19T17:55:47.000+0200},
title = {Intrinsic Evolvable Hardware in Digital Filter
Design},
volume = 3005,
year = 2004
}