Parallel Computations in the Problem of Identification of Interval Discrete Models based on Swarm Intelligence of a Bee Colony

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F23%3A00379099" target="_blank" >RIV/68407700:21240/23:00379099 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.1109/ACIT58437.2023.10275695" target="_blank" >https://doi.org/10.1109/ACIT58437.2023.10275695</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/ACIT58437.2023.10275695" target="_blank" >10.1109/ACIT58437.2023.10275695</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Parallel Computations in the Problem of Identification of Interval Discrete Models based on Swarm Intelligence of a Bee Colony

Popis výsledku v původním jazyce

The article discusses the problem of parametric identification of interval discrete models of complex objects. A new scheme of parallel computations for solving the problem of parametric identification based on the behavioral model of an artificial bee colony is proposed and justified. The effectiveness of the proposed parallel computing scheme is considered using the example of parametric identification of a mathematical model of the anaerobic microbiological fermentation process in biogas plants. A nonlinear second-order discrete model describes the dynamics of residual organic waste mass in the biogas reactor during fermentation. According to the results of the experiments, a 2-fold acceleration of the algorithm’s computational time was achieved.

Název v anglickém jazyce

Parallel Computations in the Problem of Identification of Interval Discrete Models based on Swarm Intelligence of a Bee Colony

Popis výsledku anglicky

The article discusses the problem of parametric identification of interval discrete models of complex objects. A new scheme of parallel computations for solving the problem of parametric identification based on the behavioral model of an artificial bee colony is proposed and justified. The effectiveness of the proposed parallel computing scheme is considered using the example of parametric identification of a mathematical model of the anaerobic microbiological fermentation process in biogas plants. A nonlinear second-order discrete model describes the dynamics of residual organic waste mass in the biogas reactor during fermentation. According to the results of the experiments, a 2-fold acceleration of the algorithm’s computational time was achieved.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2023

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

2023 13th International Conference on Advanced Computer Information Technologies (ACIT)

ISBN

979-8-3503-1167-9

ISSN

2770-5226

e-ISSN

2770-5226

Počet stran výsledku

6

Strana od-do

23-28

Název nakladatele

IEEE eXplore

Místo vydání

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Místo konání akce

Wroclaw

Datum konání akce

21. 9. 2023

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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