Publication Details
Sorting Network Development Using Cellular Automata
Vašíček Zdeněk, doc. Ing., Ph.D. (DCSY)
Slaný Karel, Ing. (RG EHW)
Evolutionary algorithm, development, cellular automaton, sorting network, generative encoding.
The sorting network design represents a task that has often beenconsidered as a benchmark for various applications of evolutionary
designand optimization techniques. Although the specific structure of thisclass of circuits allows to use a simple encoding in combination withadditional mechanisms for optimizing the area- and delay-efficiency ofdesigned sorting networks, the design of large sorting networksrepresents a difficult task. This paper proposes a novel cellularautomaton-based approach for the development of specific instances ofsorting networks. In order to explore the area of generative cellularautomata applied on this specific circuit structures, two dierentencodings are introduced: (1) an absolute encoding and (2) a relativeencoding. The abilities of the both techniques are investigated and acomparative study is provided considering a variety of experimentalsettings.
@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"
}