Migration Model of jSO Algorithm

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17310%2F18%3AA1901U2N" target="_blank" >RIV/61988987:17310/18:A1901U2N - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/IWSSIP.2018.8439569" target="_blank" >http://dx.doi.org/10.1109/IWSSIP.2018.8439569</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/IWSSIP.2018.8439569" target="_blank" >10.1109/IWSSIP.2018.8439569</a>

Result language
angličtina
Original language name
Migration Model of jSO Algorithm
Original language description
Differential evolution (DE) algorithm is widely usedoptimization method. A population of popular adaptive DE variant (jSO) is distributed to several sub-populations to increase its efficiency. Three crucial control parameters of proposed migration model (mSO) are experimentally studied. Real-worldproblems of CEC 2011 are used as a benchmark to show the efficiency of mSO versions in solving the real problems compared to original jSO. Presented results show good performance of proper settings of mSO especially in case of limited time. Higher performance of pSO is achieved rather for lower or middle values of the migration control parameters.
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
2018 25th International Conference on Systems, Signals and Image Processing (IWSSIP)
ISBN
978-1-5386-6979-2
ISSN
2157-8672
e-ISSN
—
Number of pages
5
Pages from-to
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Publisher name
IEEE
Place of publication
—
Event location
Maribor
Event date
Jun 20, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000451277200051

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