A comparison of differential evolution and genetic algorithms for the column subset selection problem

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

A comparison of differential evolution and genetic algorithms for the column subset selection problem

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

A comparison of differential evolution and genetic algorithms for the column subset selection problem

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2016

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Advances in Intelligent Systems and Computing. Volume 403

ISBN

978-3-319-26225-3

ISSN

2194-5357

e-ISSN

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Počet stran výsledku

10

Strana od-do

223-232

Název nakladatele

Springer Verlag

Místo vydání

London

Místo konání akce

Wrocław

Datum konání akce

25. 5. 2015

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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