Popular Optimisation Algorithms with Diversity-based Adaptive Mechanism for Population Size

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F18%3AA2201UQN" target="_blank" >RIV/61988987:17610/18:A2201UQN - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-030-61659-5_15" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-030-61659-5_15</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-61659-5_15" target="_blank" >10.1007/978-3-030-61659-5_15</a>

Result language
angličtina
Original language name
Popular Optimisation Algorithms with Diversity-based Adaptive Mechanism for Population Size
Original language description
An adaptive mechanism for population size which is a parameter of many optimisation algorithms was recently proposed. The mechanism is based on controlling the population diversity. It was verysuccessful when implemented into the differential evolution algorithm and its adaptive versions. The mechanism is employed in several popular optimisation algorithms here. The goal of the research was to find whether the mechanism can increase also their performance or not. Theexperimental tests are carried out on CEC2014 benchmark set.
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
Matoušek R., Kůdela J. (eds) Recent Advances in Soft Computing and Cybernetics. Studies in Fuzziness and Soft Computing, vol 403
ISBN
978-3-030-61658-8
ISSN
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e-ISSN
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Number of pages
12
Pages from-to
171-182
Publisher name
Springer
Place of publication
Cham
Event location
Brno
Event date
Jun 26, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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