Kontaktujte nás | Jazyk: čeština English
Název: | Socio-cognitive optimization of time-delay control problems using agent-based metaheuristics |
Autor: | Nabywaniec, Mateusz; Guzowski, Hubert; Urbańczyk, Aleksandra; Smołka, Maciej; Kisiel-Dorohinicki, Marek; Byrski, Aleksander; Komínková Oplatková, Zuzana; Šenkeřík, Roman; Pekař, Libor; Matušů, Radek; Gazdoš, František |
Typ dokumentu: | Článek ve sborníku (English) |
Zdrojový dok.: | 2022 IEEE 11th International Conference on Intelligent Systems, IS 2022. 2022 |
ISBN: | 978-1-6654-5656-2 |
DOI: | https://doi.org/10.1109/IS57118.2022.10019693 |
Abstrakt: | Following the introduction of the socio-cognitive caste-based algorithms into the classic evolutionary metaheuristics, in this paper we focus on similar task regarding agent-based universal optimization methods. We tackle EMAS and DE algorithms and enrich them also with TOPSIS-inspired mechanism. Besides giving the details of the methods and the background, we present preliminary results after applying those techniques to solving the problem of optimization of time-delay system model. © 2022 IEEE. |
Plný text: | https://ieeexplore.ieee.org/document/10019693 |
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