A comparison of differential evolution and genetic algorithms for the column subset selection problem
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F16%3A86099057" target="_blank" >RIV/61989100:27240/16:86099057 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-26227-7_21" target="_blank" >http://dx.doi.org/10.1007/978-3-319-26227-7_21</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-26227-7_21" target="_blank" >10.1007/978-3-319-26227-7_21</a>
Alternative languages
Result language
angličtina
Original language name
A comparison of differential evolution and genetic algorithms for the column subset selection problem
Original language description
The column subset selection problem is a well-known complex optimization problem that has a number of appealing real-world applications including network and data sampling, dimension reduction, and feature selection. There are a number of traditional deterministic and randomized heuristic algorithms for this problem. Recently, it has been tackled by a variety of bio-inspired and evolutionary methods. In this work, differential evolution, a popular and successful real-parameter optimization algorithm, adapted for fixed-length subset selection, is used to find solutions to the column subset selection problem. Its results are compared to a recent genetic algorithm designed for the same purpose. (C) Springer International Publishing Switzerland 2016.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Advances in Intelligent Systems and Computing. Volume 403
ISBN
978-3-319-26225-3
ISSN
2194-5357
e-ISSN
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Number of pages
10
Pages from-to
223-232
Publisher name
Springer Verlag
Place of publication
London
Event location
Wrocław
Event date
May 25, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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