Improving the Convergence of Differential Evolution
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17310%2F17%3AA1801NIT" target="_blank" >RIV/61988987:17310/17:A1801NIT - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-57099-0_26" target="_blank" >http://dx.doi.org/10.1007/978-3-319-57099-0_26</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-57099-0_26" target="_blank" >10.1007/978-3-319-57099-0_26</a>
Alternative languages
Result language
angličtina
Original language name
Improving the Convergence of Differential Evolution
Original language description
A new variant of differential evolution (DE) algorithm with a selection of mutation strategy based on the mutant point distance (DEMD) is proposed. Three DEMD variants are compared with stateof-the-art DE variants on CEC 2015 problems at four dimension levels. The results show that one of proposed DEMD variants performs best in 35 % of the problems compared to the other examined DE algorithms.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10102 - Applied mathematics
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
LNCS 10187 Numerical Analysis and Its Applications
ISBN
978-3-319-57098-3
ISSN
0302-9743
e-ISSN
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Number of pages
9
Pages from-to
252-260
Publisher name
Springer International Publishing
Place of publication
Switzerland
Event location
Lozenetz, Bulgaria
Event date
Jun 15, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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