Book chapterVAŠÍČEK Zdeněk. Bridging the Gap Between Evolvable Hardware and Industry Using Cartesian Genetic Programming. Inspired by Nature. Cham: Springer International Publishing, 2018, pp. 39-55. ISBN 978-3-319-67996-9. | Publication language: | english |
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Original title: | Bridging the Gap Between Evolvable Hardware and Industry Using Cartesian Genetic Programming |
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Title (cs): | Jak překlenout rozdíly mezi průmyslem a evolvable hardware pomocí kartézského genetického programování |
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Pages: | 39-55 |
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Book: | Inspired by Nature |
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Series: | Emergence, Complexity and Computation, Vol. 28 |
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Place: | Cham, CH |
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Year: | 2018 |
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ISBN: | 978-3-319-67996-9 |
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DOI: | 10.1007/978-3-319-67997-6_2 |
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Publisher: | Springer International Publishing |
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Keywords |
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cartesian genetic programming, circuit design, scalability problem |
Annotation |
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Advancements in technology developed in the early nineties have enabled
researchers to successfully apply techniques of evolutionary computation in
various problem domains. As a consequence, a new research direction referred to as
evolvable hardware (EHW) focusing on the use of evolutionary algorithms to create
specialized electronics has emerged. One of the goals of the early pioneers of EHW
was to evolve complex circuits and overcome the limits of traditional design. Unfortunately,
evolvable hardware found itself in a critical stage around 2010 and a very
pessimistic future for EHW-based digital circuit synthesis was predicted. The problems
solved by the community were of the size and complexity of that achievable
in fifteens years ago and seldom compete with traditional designs. The scalability
problem has been identified as one of the most difficult problems that researchers
are faced with and it was not clear whether there existed a path forward that would
allow the field to progress. Despite that, researchers have continued to investigate
how to overcome the scalability issues and significant progress has been made in
the area of evolutionary synthesis of digital circuits in recent years. The goal of
this chapter is to summarize the progress in the evolutionary synthesis of gate-level
digital circuits, and to identify the challenges that need to be addressed to enable
evolutionary methods to penetrate into industrial practice. |
BibTeX: |
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@INBOOK{
author = {Zden{\v{e}}k Va{\v{s}}{\'{i}}{\v{c}}ek},
title = {Bridging the Gap Between Evolvable Hardware and
Industry Using Cartesian Genetic Programming},
pages = {39--55},
booktitle = {Inspired by Nature},
series = {Emergence, Complexity and Computation, Vol. 28},
year = {2018},
location = {Cham, CH},
publisher = {Springer International Publishing},
ISBN = {978-3-319-67996-9},
doi = {10.1007/978-3-319-67997-6_2},
language = {english},
url = {http://www.fit.vutbr.cz/research/view_pub.php.en?id=11350}
} |
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