A Comparison of Adaptive Differential Evolution Algorithms on CEC 2013 Benchmark Problems

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F13%3AA14017T3" target="_blank" >RIV/61988987:17610/13:A14017T3 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
A Comparison of Adaptive Differential Evolution Algorithms on CEC 2013 Benchmark Problems
Original language description
Four adaptive variants of differential evolution algorithm, namely JADE, EPSDE, CoDE, and b6e6rl variant of competitive differential evolution, were compared experimentally in CEC 2013 benchmark suite of 28 functions at dimension $D=30$. The results showthat all the algorithms in comparison are not efficient in the problems with rotated objective function, whilst their efficiency on unrotated functions is better. There are statistically significant differences in the efficiency of the algorithms. JADEwas mostly the best performing, CoDE the worst. The failure of the adaptive differential evolution in the problems with rotated objective function should be studied in more details.
Czech name
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Czech description
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Project
<a href="/en/project/ED1.1.00%2F02.0070" target="_blank" >ED1.1.00/02.0070: IT4Innovations Centre of Excellence</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
19th International Conference on Soft Computing MENDEL 2013
ISBN
9788021445406
ISSN
1803-3814
e-ISSN
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Number of pages
6
Pages from-to
123-128
Publisher name
Brno University of Technology
Place of publication
Brno
Event location
Brno
Event date
Jun 26, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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