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Addressing premature convergence with distance based parameter adaptation in SHADE

Repozitář DSpace/Manakin

Název: Addressing premature convergence with distance based parameter adaptation in SHADE
Autor: Viktorin, Adam; Šenkeřík, Roman; Pluháček, Michal; Kadavý, Tomáš
Typ dokumentu: Článek ve sborníku (English)
Zdrojový dok.: 2018 25th International Conference on Systems, Signals and Image Processing (IWSSIP). 2018, vol. 2018-June
ISSN: 2157-8672 (Sherpa/RoMEO, JCR)
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ISBN: 978-1-5386-6979-2
DOI: https://doi.org/10.1109/IWSSIP.2018.8439609
Abstrakt: In this paper, an analysis of a distance based parameter adaptation in Success-History based Differential Evolution (SHADE) is presented in order to show that it can have a beneficial effect on the premature convergence of the algorithm. The premature convergence of SHADE is an issue mainly in higher dimensional decision spaces. Therefore, the tests are done on the basis of CEC2015 benchmark in 10D, 30D and 50D. The results are provided and discussed. © 2018 IEEE.
Plný text: https://ieeexplore.ieee.org/document/8439609
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Citace článku v konferenčním sborníku:
VIKTORIN, Adam, Roman ŠENKEŘÍK, Michal PLUHÁČEK a Tomáš KADAVÝ. Addressing premature convergence with distance based parameter adaptation in SHADE. In: 2018 25th International Conference on Systems, Signals and Image Processing (IWSSIP) [online]. Maribor: IEEE Computer Society, 2018 [cit. 2024-04-26]. ISSN 2157-8672. Dostupné z: https://ieeexplore.ieee.org/document/8439609.

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