Improving labor relations based on intellectual modeling of employment in the labor market

dc.contributor.author	Nurmamatov Mehriddin Qahramonovich
dc.date.accessioned	2025-12-29T08:04:46Z
dc.date.issued	2022-04-12
dc.description.abstract	This paper presents the results of the study of mathematical modeling methods to solve the problem of automated management of the labor market. The results of the study are summarized using brief conclusions. In the optimization of the labor market, a differential genetic algorithm was studied and an algorithm for determining the patterns that best represented the population target function was developed.
dc.format	application/pdf
dc.identifier.uri	https://peerianjournal.com/index.php/tpj/article/view/62
dc.identifier.uri	https://asianeducationindex.com/handle/123456789/14138
dc.language.iso	eng
dc.publisher	Peerian Journals Publishing
dc.relation	https://peerianjournal.com/index.php/tpj/article/view/62/45
dc.rights	https://creativecommons.org/licenses/by/4.0
dc.source	The Peerian Journal; Vol. 5 (2022): TPJ; 31-35
dc.source	2788-0303
dc.subject	Employment
dc.subject	evolutionary model
dc.subject	genetic algorithm
dc.subject	imitation modeling
dc.title	Improving labor relations based on intellectual modeling of employment in the labor market
dc.type	info:eu-repo/semantics/article
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	Peer-reviewed Article

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