Enhanced Individual-dependent Differential Evolution with Population Size Adaptation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17310%2F17%3AA1801MZX" target="_blank" >RIV/61988987:17310/17:A1801MZX - 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
Enhanced Individual-dependent Differential Evolution with Population Size Adaptation
Original language description
A new variant of individual-dependent differentialevolution (IDE) algorithm is proposed. The original IDE is nhanced by a new mutation strategy accelerating convergence in the last phase of the search. Moreover, the population size is adapted with respect to the diversity of the currentpopulation. The newly proposed IDEbd algorithm is applied to the benchmark suite for CEC 2017 competition on Single Objective Real-Parameter Numerical Optimization. Preliminary experiments showed better performance of IDEbd compared tothe original IDE. The results achieved on the CEC 2017 test suite are also promising, especially in problems of lower dimension.
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
CEC IEEE 2017
ISBN
978-1-5090-4600-3
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
1358-1365
Publisher name
IEEE
Place of publication
San Sebastián, Spain
Event location
San Sebastián
Event date
Jun 5, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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