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The Ethereal
Socio-cognitive Optimization of Time-delay Control Problems using Evolutionary Metaheuristics
October 23, 2022 ยท Declared Dead ยท ๐ IEEE International Conference on Intelligent Systems
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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
arXiv ID
2210.12872
Category
cs.NE: Neural & Evolutionary
Cross-listed
cs.AI
Citations
6
Venue
IEEE International Conference on Intelligent Systems
Last Checked
4 months ago
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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