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

التفاصيل البيبلوغرافية
العنوان: Socio-cognitive Optimization of Time-delay Control Problems using Evolutionary Metaheuristics
المؤلفون: Kipinski, Piotr, Guzowski, Hubert, Urbanczyk, Aleksandra, Smolka, Maciej, Kisiel-Dorohinicki, Marek, Byrski, Aleksander, Oplatkova, Zuzana Kominkova, Senkerik, Roman, Pekar, Libor, Matusu, Radek, Gazdos, Frantisek
سنة النشر: 2022
المجموعة: Computer Science
مصطلحات موضوعية: Computer Science - Neural and Evolutionary Computing, Computer Science - Artificial Intelligence, I.2.11, I.2.8
الوصف: 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.
Comment: In proceedings of the Intelligent Systems IS2022 Conference, October 12-14, 2022, Warsaw, Poland
نوع الوثيقة: Working Paper
URL الوصول: http://arxiv.org/abs/2210.12872
رقم الأكسشن: edsarx.2210.12872
قاعدة البيانات: arXiv