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Inspired by NatureApproximate Computing: An Old Job for Cartesian Genetic Programming?

Inspired by Nature: Approximate Computing: An Old Job for Cartesian Genetic Programming? [Miller’s Cartesian genetic programming (CGP) has significantly influenced the development of evolutionary circuit design and evolvable hardware. We present key ingredients of CGP with respect to the efficient search in the space of digital circuits. We then show that approximate computing, which is currently one of the promising approaches used to reduce power consumption of computer systems, is a natural application for CGP. We briefly survey typical applications of CGP in approximate circuit design and outline new directions in approximate computing that could benefit from CGP.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Inspired by NatureApproximate Computing: An Old Job for Cartesian Genetic Programming?

Part of the Emergence, Complexity and Computation Book Series (volume 28)
Editors: Stepney, Susan; Adamatzky, Andrew
Sekanina, Lukas
Inspired by Nature — Oct 27, 2017
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17 pages

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Publisher
Springer International Publishing
Copyright
© Springer International Publishing AG 2018
ISBN
978-3-319-67996-9
Pages
195 –212
DOI
10.1007/978-3-319-67997-6_9
Publisher site
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Abstract

[Miller’s Cartesian genetic programming (CGP) has significantly influenced the development of evolutionary circuit design and evolvable hardware. We present key ingredients of CGP with respect to the efficient search in the space of digital circuits. We then show that approximate computing, which is currently one of the promising approaches used to reduce power consumption of computer systems, is a natural application for CGP. We briefly survey typical applications of CGP in approximate circuit design and outline new directions in approximate computing that could benefit from CGP.]

Published: Oct 27, 2017

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