Publication detail

Evolutionary Design of Arbitrarily Large Sorting Networks Using Development

SEKANINA, L., BIDLO, M.

Original Title

Evolutionary Design of Arbitrarily Large Sorting Networks Using Development

Type

journal article - other

Language

English

Original Abstract

An evolutionary algorithm is combined with an application-specific developmental scheme in order to evolve efficient arbitrarily large sorting networks. First, a small sorting network (that we call the embryo) has to be prepared to solve the trivial instance of a problem. Then the evolved program (the constructor) is applied on the embryo to create a larger sorting network (solving a larger instance of the problem). Then the same constructor is used to create a new instance of the sorting network from the created larger sorting network and so on.
The proposed approach allowed us to rediscover the conventional principle of insertion which is traditionally used for constructing large sorting networks. Furthermore, the principle was improved by means of the evolutionary technique. The evolved sorting networks exhibit a lower implementation cost and delay.

Keywords

evolutionary algorithm, development, sorting network, scalability

Authors

SEKANINA, L., BIDLO, M.

RIV year

2005

Released

8. 4. 2005

ISBN

1389-2576

Periodical

Genetic Programming and Evolvable Machines

Year of study

6

Number

3

State

United States of America

Pages from

319

Pages to

347

Pages count

29

URL

http://www.fit.vutbr.cz/~sekanina/publ/genp/genp05.pdf, http://dx.doi.org/10.1007/s10710-005-2987-8

BibTex

@article{BUT46694,
  author="Lukáš {Sekanina} and Michal {Bidlo}",
  title="Evolutionary Design of Arbitrarily Large Sorting Networks Using  Development",
  journal="Genetic Programming and Evolvable Machines",
  year="2005",
  volume="6",
  number="3",
  pages="319--347",
  issn="1389-2576",
  url="http://www.fit.vutbr.cz/~sekanina/publ/genp/genp05.pdf, http://dx.doi.org/10.1007/s10710-005-2987-8"
}