Socio-cognitive optimization of time-delay control problems using agent-based metaheuristics

Nabywaniec, Mateusz; Guzowski, Hubert; Urbańczyk, Aleksandra; Smołka, Maciej; Kisiel-Dorohinicki, Marek; Byrski, Aleksander; Komínková Oplatková, Zuzana; Šenkeřík, Roman; Pekař, Libor; Matušů, Radek; Gazdoš, František

dc.title	Socio-cognitive optimization of time-delay control problems using agent-based metaheuristics	en
dc.contributor.author	Nabywaniec, Mateusz
dc.contributor.author	Guzowski, Hubert
dc.contributor.author	Urbańczyk, Aleksandra
dc.contributor.author	Smołka, Maciej
dc.contributor.author	Kisiel-Dorohinicki, Marek
dc.contributor.author	Byrski, Aleksander
dc.contributor.author	Komínková Oplatková, Zuzana
dc.contributor.author	Šenkeřík, Roman
dc.contributor.author	Pekař, Libor
dc.contributor.author	Matušů, Radek
dc.contributor.author	Gazdoš, František
dc.relation.ispartof	2022 IEEE 11th International Conference on Intelligent Systems, IS 2022
dc.identifier.isbn	978-1-6654-5656-2
dc.date.issued	2022
dc.event.title	11th IEEE International Conference on Intelligent Systems, IS 2022
dc.event.location	Warsaw
utb.event.state-en	Poland
utb.event.state-cs	Polsko
dc.event.sdate	2022-10-12
dc.event.edate	2022-10-14
dc.type	conferenceObject
dc.language.iso	en
dc.publisher	Institute of Electrical and Electronics Engineers Inc.
dc.identifier.doi	10.1109/IS57118.2022.10019693
dc.relation.uri	https://ieeexplore.ieee.org/document/10019693
dc.relation.uri	https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10019693
dc.subject	agent-based computing	en
dc.subject	hybrid metaheuristics	en
dc.subject	socio-cognitive computing	en
dc.description.abstract	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.	en
utb.faculty	Faculty of Applied Informatics
dc.identifier.uri	http://hdl.handle.net/10563/1011417
utb.identifier.obdid	43884316
utb.identifier.scopus	2-s2.0-85147690525
utb.source	d-scopus
dc.date.accessioned	2023-02-25T13:54:26Z
dc.date.available	2023-02-25T13:54:26Z
dc.description.sponsorship	978-1-5090-6008-5/17/$31.00; Grantová Agentura České Republiky, GA ČR: GF21-45465L; Narodowe Centrum Nauki, NCN: /35/O/ST6/00570, 2020/39/I/ST7/02285; Ministerstwo Edukacji i Nauki, MNiSW
dc.format.extent	7
utb.contributor.internalauthor	Komínková Oplatková, Zuzana
utb.contributor.internalauthor	Šenkeřík, Roman
utb.contributor.internalauthor	Pekař, Libor
utb.contributor.internalauthor	Matušů, Radek
utb.contributor.internalauthor	Gazdoš, František
utb.fulltext.sponsorship	The research presented in this paper was partially supported by: NCN project no: 2020/39/I/ST7/02285, NCN project: no: 2019/35/O/ST6/00570, 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 and resources of A.I.Lab at the Faculty of Applied Informatics, Tomas Bata University in Zlin (ailab.fai.utb.cz).
utb.scopus.affiliation	Agh University of Science and Technology, Institute of Computer Science, Krakow, Poland; Tomas Bata University in Zlín, Faculty of Applied Informatics, Czech Republic
utb.fulltext.projects	2020/39/I/ST7/02285
utb.fulltext.projects	2019/35/O/ST6/00570
utb.fulltext.projects	GF21-45465L