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Detecting potential design weaknesses in shade through network feature analysis

Repozitář DSpace/Manakin

Název: Detecting potential design weaknesses in shade through network feature analysis
Autor: Viktorin, Adam; Pluháček, Michal; Šenkeřík, Roman; Kadavý, Tomáš
Typ dokumentu: Článek ve sborníku (English)
Zdrojový dok.: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2017, vol. 10334 LNCS, p. 662-673
ISSN: 0302-9743 (Sherpa/RoMEO, JCR)
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ISBN: 978-3-319-59650-1
DOI: https://doi.org/10.1007/978-3-319-59650-1_56
Abstrakt: This preliminary study presents a hybridization of two research fields – evolutionary algorithms and complex networks. A network is created by the dynamic of an evolutionary algorithm, namely Success-History based Adaptive Differential Evolution (SHADE). Network feature, node degree centrality, is used afterward to detect potential design weaknesses of SHADE algorithm. This approach is experimentally tested on the CEC2015 benchmark set of test functions and future directions in the research are proposed. © Springer International Publishing AG 2017.
Plný text: https://link.springer.com/chapter/10.1007/978-3-319-59650-1_56
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Citace článku v konferenčním sborníku:
VIKTORIN, Adam, Michal PLUHÁČEK, Roman ŠENKEŘÍK a Tomáš KADAVÝ. Detecting potential design weaknesses in shade through network feature analysis. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) [online]. Logroño (La Rioja): Springer Verlag, 2017, s. 662-673. [cit. 2024-11-12]. ISSN 0302-9743. Dostupné z: https://link.springer.com/chapter/10.1007/978-3-319-59650-1_56.

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