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SEKANINA, L.; BIDLO, M.
Original Title
Evolutionary Design of Arbitrarily Large Sorting Networks Using Development
English Title
Type
Peer-reviewed article not indexed in WoS or Scopus
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.
English abstract
Keywords
evolutionary algorithm, development, sorting network, scalability
Key words in English
Authors
Released
08.04.2005
ISBN
1389-2576
Periodical
Genetic Programming and Evolvable Machines
Volume
6
Number
3
State
United States of America
Pages from
319
Pages to
347
Pages count
29
URL
https://www.fit.vut.cz/research/publication/7742/
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="https://www.fit.vut.cz/research/publication/7742/" }