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

• URL: http://arxiv.org/abs/2210.12872v1
• Date: Sun, 23 Oct 2022 22:21:10 GMT
• Title: Socio-cognitive Optimization of Time-delay Control Problems using Evolutionary Metaheuristics
• Authors: Piotr Kipinski, Hubert Guzowski, Aleksandra Urbanczyk, Maciej Smolka, Marek Kisiel-Dorohinicki, Aleksander Byrski, Zuzana Kominkova Oplatkova, Roman Senkerik, Libor Pekar, Radek Matusu, Frantisek Gazdos
• Abstract 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.
• Score: 89.24951036534168
• License: http://creativecommons.org/licenses/by/4.0/
• 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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