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Chaos driven differential evolution with Lozi map in the task of chemical reactor optimization

Repozitář DSpace/Manakin

Název: Chaos driven differential evolution with Lozi map in the task of chemical reactor optimization
Autor: Šenkeřík, Roman; Davendra, Donald David; Zelinka, Ivan; Pluháček, Michal; Komínková Oplatková, Zuzana
Typ dokumentu: Článek ve sborníku (English)
Zdrojový dok.: Artificial Intelligence and Soft Computing 2014, Part II. 2013, vol. 7895 LNAI, issue PART 2, p. 56-66
ISSN: 0302-9743 (Sherpa/RoMEO, JCR)
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ISBN: 978-3-642-38609-1
DOI: https://doi.org/10.1007/978-3-642-38610-7_6
Abstrakt: In this paper, Differential Evolution (DE) is used in the task of optimization of batch reactor geometry. The novality of the approach is that a discrete chaotic Lozi map is used as the chaotic pseudo random number generator to drive the mutation and crossover process in DE. The results obtained are compared with original reactor geometry and process parameters adjustment. The statistical analysis of the results given by chaos driven DE is compared with canonical DE strategy.
Plný text: https://link.springer.com/chapter/10.1007/978-3-642-38610-7_6
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Citace ČSN ISO 690:2011

Citace článku v konferenčním sborníku:
ŠENKEŘÍK, Roman, Donald David DAVENDRA, Ivan ZELINKA, Michal PLUHÁČEK a Zuzana KOMÍNKOVÁ OPLATKOVÁ. Chaos driven differential evolution with Lozi map in the task of chemical reactor optimization. In: Artificial Intelligence and Soft Computing 2014, Part II [online]. Zakopane: Springer-Verlag Berlin, 2013, s. 56-66. [cit. 2024-12-12]. ISSN 0302-9743. Dostupné z: https://link.springer.com/chapter/10.1007/978-3-642-38610-7_6.

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