Socio-cognitive Optimization of Time-delay Control Problems using Evolutionary Metaheuristics
Neural and Evolutionary Computing
2022-10-25 v1 Artificial Intelligence
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.
Cite
@article{arxiv.2210.12872,
title = {Socio-cognitive Optimization of Time-delay Control Problems using Evolutionary Metaheuristics},
author = {Piotr Kipinski and Hubert Guzowski and Aleksandra Urbanczyk and Maciej Smolka and Marek Kisiel-Dorohinicki and Aleksander Byrski and Zuzana Kominkova Oplatkova and Roman Senkerik and Libor Pekar and Radek Matusu and Frantisek Gazdos},
journal= {arXiv preprint arXiv:2210.12872},
year = {2022}
}
Comments
In proceedings of the Intelligent Systems IS2022 Conference, October 12-14, 2022, Warsaw, Poland