Migration Model of Adaptive Differential Evolution Applied to Real-World Problems

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17310%2F18%3AA1901U32" target="_blank" >RIV/61988987:17310/18:A1901U32 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-91253-0_30" target="_blank" >http://dx.doi.org/10.1007/978-3-319-91253-0_30</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-91253-0_30" target="_blank" >10.1007/978-3-319-91253-0_30</a>

Result language
angličtina
Original language name
Migration Model of Adaptive Differential Evolution Applied to Real-World Problems
Original language description
Ten variants of migration model are compared with six adaptive differential evolution (DE) algorithms on real-world problems. Two parameters of migration model are studied experimentally. The results ofexperiments demonstrate the superiority of the migration models in first stages of the search process. A success of adaptive DE algorithms employed by migration model is systematically influenced by the studied parameters. The most efficient algorithm in the comparison is proposed migration model P15x50. The worst performing algorithm is adaptive DE.
Czech name
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Czech description
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Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
LNCS 10841 Artificial Intelligence and Soft Computing - Part I
ISBN
978-3-319-91252-3
ISSN
0302-9743
e-ISSN
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Number of pages
10
Pages from-to
313-322
Publisher name
Springer
Place of publication
Switzerland
Event location
Zakopane, Polsko
Event date
Jun 3, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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