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dc.title | Efficient time-delay system optimization with auto-configured metaheuristics | en |
dc.contributor.author | Šenkeřík, Roman | |
dc.contributor.author | Byrski, Aleksander | |
dc.contributor.author | Guzowski, Hubert | |
dc.contributor.author | Janků, Peter | |
dc.contributor.author | Kadavý, Tomáš | |
dc.contributor.author | Komínková Oplatková, Zuzana | |
dc.contributor.author | Matušů, Radek | |
dc.contributor.author | Pluháček, Michal | |
dc.contributor.author | Pekař, Libor | |
dc.contributor.author | Smołka, Maciej | |
dc.contributor.author | Viktorin, Adam | |
dc.relation.ispartof | Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics | |
dc.identifier.issn | 1062-922X Scopus Sources, Sherpa/RoMEO, JCR | |
dc.identifier.isbn | 979-835033702-0 | |
dc.date.issued | 2023 | |
dc.citation.spage | 1084 | |
dc.citation.epage | 1089 | |
dc.event.title | 2023 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2023 | |
dc.event.location | hybrid, Honolulu | |
utb.event.state-en | United States | |
utb.event.state-cs | Spojené státy americké | |
dc.event.sdate | 2023-10-01 | |
dc.event.edate | 2023-10-04 | |
dc.type | conferenceObject | |
dc.language.iso | en | |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | |
dc.identifier.doi | 10.1109/SMC53992.2023.10394087 | |
dc.relation.uri | https://ieeexplore.ieee.org/document/10394087 | |
dc.relation.uri | https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10394087 | |
dc.description.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. | en |
utb.faculty | Faculty of Applied Informatics | |
utb.faculty | Faculty of Applied Informatics | |
dc.identifier.uri | http://hdl.handle.net/10563/1011944 | |
utb.identifier.obdid | 43885277 | |
utb.identifier.scopus | 2-s2.0-85187295872 | |
utb.identifier.coden | PICYE | |
utb.source | d-scopus | |
dc.date.accessioned | 2024-04-17T13:11:48Z | |
dc.date.available | 2024-04-17T13:11:48Z | |
dc.description.sponsorship | Faculty of Applied Informatics, Tomas Bata University in Zlin; Tomas Bata University in Zlín, TBU, (IGA/CebiaTech/2023/004); Grantová Agentura České Republiky, GA ČR, (GF21-45465L); Narodowe Centrum Nauki, NCN, (2020/39/I/ST7/02285); Ministerstwo Edukacji i Nauki, MNiSW | |
utb.ou | Department of Informatics and Artificial Intelligence | |
utb.ou | Department of Automation and Control Engineering | |
utb.contributor.internalauthor | Šenkeřík, Roman | |
utb.contributor.internalauthor | Janků, Peter | |
utb.contributor.internalauthor | Kadavý, Tomáš | |
utb.contributor.internalauthor | Komínková Oplatková, Zuzana | |
utb.contributor.internalauthor | Matušů, Radek | |
utb.contributor.internalauthor | Pluháček, Michal | |
utb.contributor.internalauthor | Pekař, Libor | |
utb.contributor.internalauthor | Viktorin, Adam | |
utb.fulltext.affiliation | Roman Senkerik1, Aleksander Byrski3, Hubert Guzowski3, Peter Janku1, Tomas Kadavy1, Zuzana Kominkova Oplatkova1, Radek Matusu2, Michal Pluhacek1, Libor Pekar2, Maciej Smolka3, Adam Viktorin1 1 Department of Informatics and Artificial Intelligence, Faculty of Applied Informatics, Tomas Bata University in Zlin, Czech Republic {senkerik,oplatkova}@utb.cz 2 Department of Automation and Control Engineering, Faculty of Applied Informatics, Tomas Bata University in Zlin, Czech Republic {pekar,rmatusu}@utb.cz 3 Institute of Computer Science, AGH University of Science and Technology, Krakow, Poland {guzowski,smolka,olekb}@agh.edu.pl | |
utb.fulltext.sponsorship | The research presented in this paper was partially supported by: NCN project no: 2020/39/I/ST7/02285, Polish Ministry of Education and Science funds assigned to AGH University of Science and Technology. It was also supported by Czech Science Foundation (GACR) project no: GF21-45465L, the Internal Grant Agency of the Tomas Bata University in Zlin, under project number IGA/CebiaTech/2023/004, and resources of A.I.Lab at the Faculty of Applied Informatics, Tomas Bata University in Zlin (ailab.fai.utb.cz). | |
utb.scopus.affiliation | Tomas Bata University, A.I. Lab, Faculty of Applied Informatics, Department of Informatics and Artificial Intelligence, Zlin, Czech Republic; Tomas Bata University, Faculty of Applied Informatics, Department of Automation and Control Engineering, Zlin, Czech Republic; Institute of Computer Science, Agh University of Science and Technology, Krakow, Poland | |
utb.fulltext.projects | 2020/39/I/ST7/02285 | |
utb.fulltext.projects | GF21-45465L | |
utb.fulltext.projects | IGA/CebiaTech/2023/004 | |
utb.fulltext.faculty | Faculty of Applied Informatics | |
utb.fulltext.faculty | Faculty of Applied Informatics | |
utb.fulltext.ou | Department of Informatics and Artificial Intelligence | |
utb.fulltext.ou | Department of Automation and Control Engineering |