Socio-cognitive Optimization of Time-delay Control Problems using Agent-based Metaheuristics

Following the introduction of the socio-cognitive caste-based algorithms into the classic evolutionary metaheuristics, in this paper we focus on similar task regarding agent-based universal optimization methods. We tackle EMAS and DE algorithms and enrich them also with TOPSIS-inspired mechanism. Be...

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Main Authors: Nabywaniec, Mateusz, Guzowski, Hubert, Urbanczyk, Aleksandra, Smolka, Maciej, Kisiel-Dorohinicki, Marek, Byrski, Aleksander, Oplatkova, Zuzana Kominkova, Senkerik, Roman, Pekar, Libor, Matusu, Radek, Gazdos, Frantisek
Format: Conference Proceeding
Language:English
Subjects:
agent-based computing
hybrid metaheuristics
Intelligent systems
Metaheuristics
Optimization methods
socio-cognitive computing
Task analysis
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creator Nabywaniec, Mateusz
Guzowski, Hubert
Urbanczyk, Aleksandra
Smolka, Maciej
Kisiel-Dorohinicki, Marek
Byrski, Aleksander
Oplatkova, Zuzana Kominkova
Senkerik, Roman
Pekar, Libor
Matusu, Radek
Gazdos, Frantisek
description Following the introduction of the socio-cognitive caste-based algorithms into the classic evolutionary metaheuristics, in this paper we focus on similar task regarding agent-based universal optimization methods. We tackle EMAS and DE algorithms and enrich them also with TOPSIS-inspired mechanism. Besides giving the details of the methods and the background, we present preliminary results after applying those techniques to solving the problem of optimization of time-delay system model.
doi_str_mv 10.1109/IS57118.2022.10019693
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subjects agent-based computing
hybrid metaheuristics
Intelligent systems
Metaheuristics
Optimization methods
socio-cognitive computing
Task analysis
title Socio-cognitive Optimization of Time-delay Control Problems using Agent-based Metaheuristics
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