Optimization of university internal indicators to improve positions in QS World University Rankings using a genetic algorithm

dc.contributor.authorShaposhnikov, Mykyta
dc.contributor.authorGrinchenko, Marina
dc.contributor.authorGrinchenko, Evgen
dc.date.accessioned2025-10-16T09:29:48Z
dc.date.issued2025
dc.identifier.citationShaposhnikov M. Optimization of university internal indicators to improve positions in QS World University Rankings using a genetic algorithm [Electronic resource] / Shaposhnikov Mykyta, Grinchenko Marina, Grinchenko Evgen // Research on the development of science and the implementation of technology : proc. of the 3rd Intern. Sci. and Practic. Conf., Hamburg, Germany, September 16-19, 2025 / ed.: E. Pluzhnik [et al.] ; International Science Group. – Electron. text data. – Hamburg, 2025. – P. 40-42. – URL: https://isg-konf.com/wp-content/uploads/2025/09/RESEARCH-ON-THE-DEVELOPMENT-OF-SCIENCE-AND-THE-IMPLEMENTATION-OF-TECHNOLOGY.pdf, free (accessed 16.10.2025).
dc.identifier.orcidhttps://orcid.org/0000-0002-8383-2675
dc.identifier.urihttps://repository.kpi.kharkov.ua/handle/KhPI-Press/94116
dc.language.isoen
dc.publisherInternational Science Group
dc.subjectinternal indicators
dc.subjectQS World University Rankings
dc.subjectgenetic algorithm
dc.subjectcompetitive environment
dc.subjecthigher education institution
dc.subjectacademic reputation
dc.titleOptimization of university internal indicators to improve positions in QS World University Rankings using a genetic algorithm
dc.typeArticle

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