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Název: | Socio-cognitive optimization of time-delay control problems using evolutionary metaheuristics |
Autor: | Kipiński, Piotr; 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/IS57118.2022.10019727 |
Abstrakt: | Metaheuristics are universal optimization algorithms which should be used for solving difficult problems, unsolvable by classic approaches. In this paper we aim at constructing novel socio-cognitive metaheuristic based on castes, and apply several versions of this algorithm to optimization of time-delay system model. Besides giving the background and the details of the proposed algorithms we apply them to optimization of selected variants of the problem and discuss the results. © 2022 IEEE. |
Plný text: | https://ieeexplore.ieee.org/document/10019727 |
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