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VAŠÍČEK, Z.
Originální název
Cartesian GP in Optimization of Combinational Circuits with Hundreds of Inputs and Thousands of Gates
Anglický název
Druh
Stať ve sborníku v databázi WoS či Scopus
Originální abstrakt
A new approach to the evolutionary optimization of large digital circuits is introduced in this paper. In contrast with evolutionary circuit design, the goal of the evolutionary circuit optimization is to minimize the number of gates (or other non-functional parameters) of already functional circuit. The method combines a circuit simulation with a formal verification in order to detect the functional inequivalence of the parent and its offspring. An extensive set of 100 benchmarks circuits is used to evaluate the performance of the method as well as the utilized evolutionary approach. Moreover, the role of neutral mutations in the context ofevolutionary optimization is investigated. In average, the method enabled a 34% reduction in gate count even if the optimizer was executed only for 15 minutes.
Anglický abstrakt
Klíčová slova
Genetic programming, Cartesian Genetic Programming, Evolutionary optimization, Combinational circuits, Formal verification
Klíčová slova v angličtině
Autoři
Rok RIV
2016
Vydáno
15.03.2015
Nakladatel
Springer International Publishing
Místo
Berlin
ISBN
978-3-319-16500-4
Kniha
Genetic Programming, 18th European Conference, EuroGP 2015
Edice
LCNS 9025
Strany od
139
Strany do
150
Strany počet
12
URL
https://www.fit.vut.cz/research/publication/10773/
BibTex
@inproceedings{BUT119799, author="Zdeněk {Vašíček}", title="Cartesian GP in Optimization of Combinational Circuits with Hundreds of Inputs and Thousands of Gates", booktitle="Genetic Programming, 18th European Conference, EuroGP 2015", year="2015", series="LCNS 9025", pages="139--150", publisher="Springer International Publishing", address="Berlin", doi="10.1007/978-3-319-16501-1\{_}12", isbn="978-3-319-16500-4", url="https://www.fit.vut.cz/research/publication/10773/" }
Dokumenty
eurogp_2015