Fine tuning of agent-based evolutionary computing

• Autorzy: Mizera Michal , Nowotarski Pawel , Byrski Aleksander , Kisiel-Dorohinicki Marek

Identyfikatory

DOI

10.2478/jaiscr-2018-0026

• Języki publikacji: EN

Abstrakty

EN

Evolutionary Multi-agent System introduced by late Krzysztof Cetnarowicz and developed further at the AGH University of Science and Technology became a reliable optimization system, both proven experimentally and theoretically. This paper follows a work of Byrski further testing and analyzing the efficacy of this metaheuristic based on popular, high-dimensional benchmark functions. The contents of this paper will be useful for anybody willing to apply this computing algorithm to continuous and not only optimization.

Słowa kluczowe

EN

multi-agent systems; metaheuristics; evolutionary computing

• Wydawca: University of Social Sciences
• Czasopismo: Journal of Artificial Intelligence and Soft Computing Research
• Rocznik: 2019
• Tom: Vol. 9, No. 2
• Strony: 81--97
• Opis fizyczny: Bibliogr. 33 poz., rys.

Twórcy

autor

Mizera Michal

• Department of Computer Science, Faculty of Computer Science, Electronics and Telecommunications, AGH University of Science and Technology, Al. Mickiewicza 30, 30-059 Krakow, Poland

autor

Nowotarski Pawel

• Department of Computer Science, Faculty of Computer Science, Electronics and Telecommunications, AGH University of Science and Technology, Al. Mickiewicza 30, 30-059 Krakow, Poland

autor

Byrski Aleksander

• Department of Computer Science, Faculty of Computer Science, Electronics and Telecommunications, AGH University of Science and Technology, Al. Mickiewicza 30, 30-059 Krakow, Poland

autor

Kisiel-Dorohinicki Marek

• Department of Computer Science, Faculty of Computer Science, Electronics and Telecommunications, AGH University of Science and Technology, Al. Mickiewicza 30, 30-059 Krakow, Poland

Bibliografia

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Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).