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Typ záznamu:
stať ve sborníku (D)
Domácí pracoviště:
Katedra informatiky a počítačů (31400)
Název:
A New Variant of Competitive Differential Evolution Algorithm
Citace
Bujok, P. a Tvrdík, J. A New Variant of Competitive Differential Evolution Algorithm: Book of abstracts.
In:
Informatics 2013.
Košice: FEEI TU of Košice, 2013. FEEI TU of Košice, 2013. s. 304-308. ISBN 978-80-8143-127-2.
Podnázev
Book of abstracts
Rok vydání:
2013
Obor:
Informatika
Počet stran:
5
Strana od:
304
Strana do:
308
Forma vydání:
Tištená verze
Kód ISBN:
978-80-8143-127-2
Kód ISSN:
Název sborníku:
Informatics 2013
Sborník:
Mezinárodní
Název nakladatele:
FEEI TU of Košice
Místo vydání:
Košice
Stát vydání:
Sborník vydaný v zahraničí
Název konference:
INFORMATICS'2013 - International Scientific Conference on Informatics
Místo konání konference:
Spišská Nová Ves, Slovakia
Datum zahájení konference:
Typ akce podle státní
příslušnosti účastníků akce:
Celosvětová akce
Kód UT WoS:
EID:
Klíčová slova anglicky:
Differential evolution, rotation-invariant strategy, CEC 2013 test suite.
Popis v původním jazyce:
A new variant of the adaptive competitive differential evolution algorithm was proposed and tested experimentally on the CEC 2013 test suite. In the new variant, the adaptation is based on the competition of several strategies. Rotationinvariant current-to-pbest mutation is included into the pool of the competing strategies. The aim of the experimental comparison was to find whether the presence of the rotation-invariant strategy increases the efficiency of the differential evolution algorithm, especially on rotated objective functions. The results of the experiments showed that the new variant performed better in a few of the test problems, while the benefit was not observed in the majority of the test problems.
Popis v anglickém jazyce:
A new variant of the adaptive competitive differential evolution algorithm was proposed and tested experimentally on the CEC 2013 test suite. In the new variant, the adaptation is based on the competition of several strategies. Rotationinvariant current-to-pbest mutation is included into the pool of the competing strategies. The aim of the experimental comparison was to find whether the presence of the rotation-invariant strategy increases the efficiency of the differential evolution algorithm, especially on rotated objective functions. The results of the experiments showed that the new variant performed better in a few of the test problems, while the benefit was not observed in the majority of the test problems.
Seznam ohlasů
Ohlas
R01:
RIV/61988987:17310/13:A14018J3
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