Protas, N. M.Odarushchenko, O. B.Vakulenko, Y. V.Degtyareva, L. M.Протас, Надія МихайлівнаОдарущенко, Олена БорисівнаВакуленко, Юлія ВалентинівнаДегтярьова, Лариса Миколаївна2026-08-032026-08-032023Trotsko, O., Protas, N., Odarushchenko, E., Vakulenko, Y., Degtyareva, L., Parzhnytskyi, V., Khomenko, P., Kolodiichuk, L., Nechyporuk, V., Apenko, N. (2023). Improvement of the optimization method based on the wolf flock algorithm. Eastern-European Journal of Enterprise Technologies, 1 (4 (121)), Pp. 26–33. DOI: 10.15587/1729-4061.2023.273784UDC 004.81https://dspace.pdau.edu.ua/handle/123456789/22176The problem that is solved in the research is to increase the efficien¬cy of decision making in management tasks while ensuring the given reliabili¬ty, regardless of the hierarchical nature of the object. The object of the research is decision making support system. The subject of the research is the decision making process in management tasks using an improved wolf flock algorithm. The hypothesis of the research is to increase the efficiency of decision making with a given assessment reliability. In the course of the research, an improved opti¬mization method based on an improved wolf flock algorithm was proposed. In the course of the conducted research, the general provisions of the theory of arti¬ficial intelligence were used to solve the problem of analyzing the objects state and subsequent parametric management in intelligent decision making support systems.enartificial intelligencewolf flock algorithmdata uncertaintyevalu¬ation efficiencyadaptabilityArticle