Adaptation of Population Size According to Current Population Diversity in Differential Evolution
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F17%3AA1801ORO" target="_blank" >RIV/61988987:17610/17:A1801ORO - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Adaptation of Population Size According to Current Population Diversity in Differential Evolution
Original language description
A new mechanism for the adaptation of population size in differential evolution (DE) is described and applied to CEC 2014 test suite. The adaptive mechanism is based on linear reduction of the population diversity and enables both decreasing and increasing the population size during the search. The efficiency of DE variants with and without this adaptive mechanism is compared. Moreover, this new mechanism is also compared with the linear reduction of population size used in L-SHADE and its successful successors. The results of the comparison demonstrate the benefit from the new adaptive mechanism to the algorithm efficiency in more than a half of test problems while the deterioration of efficiency occurs rarely.
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
2017 IEEE Symposium Series on Computational Intelligence (SSCI) Proceedings
ISBN
978-1-5386-2725-9
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
2627-2634
Publisher name
IEEE
Place of publication
Piscataway, USA
Event location
Honolulu
Event date
Nov 27, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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