Socio-cognitive Optimization of Time-delay Control Problems using Evolutionary Metaheuristics

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-d...

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Bibliographic Details
Main Authors: Kipinski, Piotr, Guzowski, Hubert, Urbanczyk, Aleksandra, Smolka, Maciej, Kisiel-Dorohinicki, Marek, Byrski, Aleksander, Oplatkova, Zuzana Kominkova, Senkerik, Roman, Pekar, Libor, Matusu, Radek, Gazdos, Frantisek
Format: Conference Proceeding
Language:English
Subjects:
Computational modeling
Evolutionary computation
evolutionary computing
Genetic algorithms
hybrid metaheuristics
Intelligent systems
Metaheuristics
socio-cognitive computing
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Summary: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.
ISSN:2767-9802
DOI:10.1109/IS57118.2022.10019727