Odarushchenko, O. B.Одарущенко, Олена Борисівна2026-08-032026-08-032024-04-30Development of a solution search method using artificial intelligence / Q. A. Mahdi et al. Eastern-European Journal of Enterprise Technologies 2(4 (128)) 2(4 (128)) DOI:10.15587/1729-4061.2024.300261.UDC 004.81https://dspace.pdau.edu.ua/handle/123456789/22181The object of the study is decision sup¬port systems. The problem of increasing decision-mak¬ing efficiency in conditions of uncertainty and a set of different parameters was solved using a bio-inspired algorithm. The subject of the study is the deci¬sion-making process in management prob¬lems using the heron flock algorithm, the improved genetic algorithm and evolving artificial neural networks. A solution search method using the improved heron flock algorithm is pro¬posed. The study is based on the heron flock algorithm to find a solution regarding the object state. Evolving artificial neural networks are used to train the heron flock algorithm, and an advanced genetic algo¬rithm is used to select the best individuals of the heron flock. The method has the fol¬lowing sequence of actions: – input of initial data; – setting agents on the search plane; – numbering heron agents in the flock; – setting the initial velocity of heron agents; – waiting strategy for heron agents; – aggressive strategy; – checking the discriminatory condition; – selection of the best individuals from the heron flock; – ranking and sorting the obtained so-lutions; – training heron knowledge bases; – determining the amount of necessary computing resources of the intelligent deci¬sion support system.enunimodal functionsdeci¬sion-making efficiencyoptimization prob¬lemshierarchical objectsArticle