Szczegóły publikacji
Opis bibliograficzny
Efficient time-delay system optimization with auto-configured metaheuristics / Roman Senkerik, Aleksander BYRSKI, Hubert GUZOWSKI, Peter Janku, Tomas Kadavy, Zuzana Kominkova Oplatkova, Radek Matusu, Michal Pluhacek, Libor Pekar, Maciej SMOŁKA, Adam Viktorin // W: SMC 2023 [Dokument elektroniczny] : 2023 IEEE international conference on Systems, Man, and Cybernetics : October 1–4, 2023, Honolulu, Hawaii, USA : proceedings. — Wersja do Windows. — Dane tekstowe. — [Piscataway] : IEEE, cop. 2023. — (Conference proceedings (IEEE International Conference on Systems, Man, and Cybernetics)). — Dod. ISBN: 979-8-3503-3703-7. — e-ISBN: 979-8-3503-3702-0. — S. 1084–1089. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. 1089, Abstr. — Publikacja dostępna online od: 2024-01-29. — M. Pluhacek – afiliacja: Tomas Bata University in Zlin, Czech Republic
Autorzy (11)
- Senkerik Roman
- AGHByrski Aleksander
- AGHGuzowski Hubert
- Janku Peter
- Kadavy Tomas
- Kominkova-Oplatkova Zuzana
- Matusu Radek
- Pluháček Michal
- Pekar Libor
- AGHSmołka Maciej
- Viktorin Adam
Dane bibliometryczne
| ID BaDAP | 152316 |
|---|---|
| Data dodania do BaDAP | 2024-04-16 |
| Tekst źródłowy | URL |
| DOI | 10.1109/SMC53992.2023.10394087 |
| Rok publikacji | 2023 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Wydawca | Institute of Electrical and Electronics Engineers (IEEE) |
| Konferencja | IEEE Conference on Systems, Man and Cybernetics 2023 |
| Czasopismo/seria | Conference proceedings (IEEE International Conference on Systems, Man, and Cybernetics) |
Abstract
This paper presents an experimental study that compares the performance of four selected metaheuristic algorithms for optimizing a time delay system model. Time delay system models are complex and challenging to optimize due to their inherent characteristics, such as non-linearity, multi-modality, and constraints. The study includes an explanation of the choice and core functionality of the selected algorithms, which are both baseline and state-of-the-art variants of self-organizing migrating algorithm (SOMA), state-of-the-art variant from the Success-History-based Adaptive Differential Evolution family of algorithms, with emphasis on diverse search (DISH algorithm), and Covariance Matrix Adaptation Evolution Strategy (CMA-ES) algorithm. The hyperparameters of the metaheuristic algorithms were set using the iRace automatic algorithm configuration framework. The paper emphasizes the importance of metaheuristic algorithms in control engineering for time-delay systems to develop more effective and efficient control strategies and precise model identifications. The experimental results highlight the effectiveness of the state-of-the-art algorithms with specific adaptive mechanisms like population organization process, diverse search and adaptation mechanisms ensuring a gradual transition from exploration to exploitation. Overall, this study contributes to understanding the challenges and advantages of using metaheuristic algorithms in control engineering for time delay systems. The results provide valuable insights into the performance of modern metaheuristic algorithms and can help guide the selection of appropriate adaptive mechanisms of metaheuristics.
