An Evolutionary Approach to Automatic Generation of VHDL Code for Low-Power Digital Filters
Created by W.Langdon from
gp-bibliography.bib Revision:1.7970
- @InProceedings{erba:2001:EuroGP,
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author = "Massimiliano Erba and Roberto Rossi and
Valentino Liberali and Andrea Tettamanzi",
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title = "An Evolutionary Approach to Automatic Generation of
VHDL Code for Low-Power Digital Filters",
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booktitle = "Genetic Programming, Proceedings of EuroGP'2001",
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year = "2001",
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editor = "Julian F. Miller and Marco Tomassini and
Pier Luca Lanzi and Conor Ryan and Andrea G. B. Tettamanzi and
William B. Langdon",
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volume = "2038",
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series = "LNCS",
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pages = "36--50",
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address = "Lake Como, Italy",
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publisher_address = "Berlin",
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month = "18-20 " # apr,
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organisation = "EvoNET",
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publisher = "Springer-Verlag",
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keywords = "genetic algorithms, genetic programming, Evolvable
Hardware, Evolutionary Algorithms, Electronic Design,
Digital Filters, VHDL",
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ISBN = "3-540-41899-7",
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DOI = "doi:10.1007/3-540-45355-5_4",
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size = "15 pages",
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abstract = "An evolutionary algorithm is used to design a finite
impulse response digital filter with reduced power
consumption. The proposed design approach combines
genetic optimization and simulation methodology, to
evaluate a multi-objective fitness function which
includes both the suitability of the filter transfer
function and the transition activity of digital blocks.
The proper choice of fitness function and selection
criteria allows the genetic algorithm to perform a
better search within the design space, thus exploring
possible solutions which are not considered in the
conventional structured design methodology. Although
the evolutionary process is not guaranteed to generate
a filter fully compliant to specifications in every
run, experimental evidence shows that, when
specifications are met, evolved filters are much better
than classical designs both in terms of power
consumption and in terms of area, while maintaining the
same performance.",
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notes = "EuroGP'2001, part of \cite{miller:2001:gp}",
- }
Genetic Programming entries for
Massimiliano Erba
Roberto Rossi
Valentino Liberali
Andrea G B Tettamanzi
Citations