Eigenvector Crossover in the Efficient jSO Algorithm
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17310%2F19%3AA200201K" target="_blank" >RIV/61988987:17310/19:A200201K - isvavai.cz</a>
Result on the web
<a href="https://mendel-journal.org/index.php/mendel/article/view/80" target="_blank" >https://mendel-journal.org/index.php/mendel/article/view/80</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.13164/mendel.2019.1.065" target="_blank" >10.13164/mendel.2019.1.065</a>
Alternative languages
Result language
angličtina
Original language name
Eigenvector Crossover in the Efficient jSO Algorithm
Original language description
In this paper, a new variant of an efficient adaptive jSO algorithm is presented. The original jSO uses popular binomial crossover which is applied in a standard coordinate system. Many problems tend to rotate the coordinate system in one or more axes. This is the reason why a crossover variant using Eigen coordinate system replaces the original binomial version of crossover in jSO. The newly proposed jSOe performs significantly better compared with the original jSO when solving 90 problems of the CEC 2017 benchmark set.
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
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
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Mendel - Soft Computing Journal
ISSN
1803-3814
e-ISSN
2571-3701
Volume of the periodical
25
Issue of the periodical within the volume
1
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
8
Pages from-to
65-72
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-85071455904