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

Piotr Kipinski; Hubert Guzowski; Aleksandra Urbanczyk; Maciej Smolka; Marek Kisiel-Dorohinicki; Aleksander Byrski; Zuzana Kominkova Oplatkova; Roman Senkerik; Libor Pekar; Radek Matusu; Frantisek Gazdos

arXiv · 2210.12872

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

Piotr Kipinski·Hubert Guzowski·Aleksandra Urbanczyk·Maciej Smolka·Marek Kisiel-Dorohinicki·Aleksander Byrski·Zuzana Kominkova Oplatkova·Roman Senkerik·Libor Pekar·Radek Matusu·Frantisek Gazdos

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Abstract

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.

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Piotr Kipinski, Hubert Guzowski, Aleksandra Urbanczyk, Maciej Smolka, Marek Kisiel-Dorohinicki, Aleksander Byrski, Zuzana Kominkova Oplatkova, Roman Senkerik, Libor Pekar, Radek Matusu, Frantisek Gazdos. 2022-10-23. Socio-cognitive Optimization of Time-delay Control Problems using Evolutionary Metaheuristics. https://arxiv.org/abs/2210.12872

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