Differential Evolution with Adaptive Mechanism of Population Size According to Current Population Diversity
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17200%2F19%3AA2001SS4" target="_blank" >RIV/61988987:17200/19:A2001SS4 - isvavai.cz</a>
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S2210650218301408?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S2210650218301408?via%3Dihub</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.swevo.2019.03.014" target="_blank" >10.1016/j.swevo.2019.03.014</a>
Alternative languages
Result language
angličtina
Original language name
Differential Evolution with Adaptive Mechanism of Population Size According to Current Population Diversity
Original language description
A new mechanism for the adaptation of the population size in differential evolution (DE) is described. The adaptive mechanism is based on linear reduction of the population diversity and enables to decrease and also increase the population size during the search. The efficiency of DE variants with and without this adaptive mechanism is experimentally compared on the CEC 2014 test suite. Moreover, this new mechanism is also compared with the linear reduction of the population size proposed in L-SHADE and used in 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 its efficiency occurs rarely. As it was expected, the use of the proposed mechanism is considerably beneficial, especially in more complex problems like multimodal, hybrid, or composition objective functions.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science 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
Swarm and Evolutionary Computation
ISSN
2210-6502
e-ISSN
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Volume of the periodical
50
Issue of the periodical within the volume
NOV 2019
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
15
Pages from-to
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UT code for WoS article
000497252300021
EID of the result in the Scopus database
2-s2.0-85064083128