Přístupnostní navigace
E-application
Search Search Close
Publication detail
BIDLO, M. VAŠÍČEK, Z. SLANÝ, K.
Original Title
Sorting Network Development Using Cellular Automata
Type
conference paper
Language
English
Original Abstract
The sorting network design represents a task that has often been considered as a benchmark for various applications of evolutionary design and optimization techniques. Although the specific structure of this class of circuits allows to use a simple encoding in combination with additional mechanisms for optimizing the area- and delay-efficiency of designed sorting networks, the design of large sorting networks represents a difficult task. This paper proposes a novel cellular automaton-based approach for the development of specific instances of sorting networks. In order to explore the area of generative cellular automata applied on this specific circuit structures, two dierent encodings are introduced: (1) an absolute encoding and (2) a relative encoding. The abilities of the both techniques are investigated and a comparative study is provided considering a variety of experimental settings.
Keywords
Evolutionary algorithm, development, cellular automaton, sorting network, generative encoding.
Authors
BIDLO, M.; VAŠÍČEK, Z.; SLANÝ, K.
RIV year
2010
Released
6. 9. 2010
Publisher
Springer London
Location
London
ISBN
978-3-642-15322-8
Book
Evolvable Systems: From Biology to Hardware
Edition
9th International Conference, ICES 2010, York, UK, September 6-8, 2010, Proceedings, LNCS 6274
Pages from
85
Pages to
96
Pages count
12
URL
http://link.springer.com/chapter/10.1007%2F978-3-642-15323-5_8
BibTex
@inproceedings{BUT34834, author="Michal {Bidlo} and Zdeněk {Vašíček} and Karel {Slaný}", title="Sorting Network Development Using Cellular Automata", booktitle="Evolvable Systems: From Biology to Hardware", year="2010", series="9th International Conference, ICES 2010, York, UK, September 6-8, 2010, Proceedings, LNCS 6274", pages="85--96", publisher="Springer London", address="London", doi="10.1007/978-3-642-15323-5\{_}8", isbn="978-3-642-15322-8", url="http://link.springer.com/chapter/10.1007%2F978-3-642-15323-5_8" }