EVOLUTIONARY TECHNOLOGIES AND GENETIC ALGORITHMS IN MACHINE TRANSLATION

Fang, L., & Zhang, M. (2013). Genetic algorithm-based translation quality estimation. In Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing

Tetiana Tsalko, Svitlana Nevmerzhytska, Svitlana Krasniuk, Svitlana Goncharenko, Liubymova Natalia (2024). Features, problems and prospects of data mining and data science application in educational management. Bulletin of Science and Education, №5(23), 2024. pp.637-657.

Y. Kulynych, M. Krasnyuk and S. Krasniuk. (2022). Knowledge discovery and data mining of structured and unstructured business data: problems and prospects of implementation and adaptation in crisis conditions. Grail of Science, (12-13), pp. 63–70. https://doi.org/10.36074/grail-of-science.29.04.2022.006

Krasnyuk M.T., Hrashchenko I.S., Kustarovskiy O.D., Krasniuk S.O. (2018) Methodology of effective application of Big Data and Data Mining technologies as an important anti-crisis component of the complex policy of logistic business optimization. Economies’ Horizons. 2018. No. 3(6). pp. 121–136

Krasnyuk, M., & Krasniuk, S. (2020). Comparative characteristics of machine learning for predicative financial modelling. Scientific bulletin ΛΌГOΣ, pp. 55-57. https://doi.org/10.36074/26.06.2020.v1.21

Krasnyuk, M., Tkalenko, A., & Krasniuk, S. (2021). Results of analysis of machine learning practice for training effective model of bankruptcy forecasting in emerging markets. Scientific bulletin ΛΌГOΣ. https://doi.org/10.36074/logos-09.04.2021.v1.07

Krasnyuk, M., & Krasniuk, S. (2021). Modern practice of machine learning in the aviation transport industry. Scientific bulletin ΛΌГOΣ, May 2021. https://doi.org/10.36074/logos-30.04.2021.v1.63

Kulynych Y., Krasnyuk M., Krasniuk S. (2022) Efficiency of evolutionary algorithms in solving optimization problems on the example of the fintech industry. Grail of Science, №14-15, May 2022. 63-70. https://doi.org/10.36074/grail-of-science.27.05.2022

Bernal-Álvarez, P., & Luján-Mora, S. (2014). Using genetic algorithms to improve the quality of machine translation. Computer Speech & Language

Sanchis-Trilles, G., & Casacuberta, F. (2011). Combining rule-based and statistical machine translation using genetic algorithms. Machine Translation

Alonso, D., & Pérez-Ortiz, J. A. (2014). Improving translation quality through hybrid genetic algorithms. Journal of Intelligent & Fuzzy Systems (дата звернення: 24.02.2023)

Monti, J., & Miikkulainen, R. (2017). Improving text-to-text generation with evolutionary search.

M. Krasnyuk, S. Goncharenko, S. Кrasniuk (2022). Intelektualni tekhnolohii v hibrydnii korporatyvnii SPPR (na prykladi Ukrainskoi naftohazovydobuvnoi kompanii) [Intelligent technologies in hybrid corporate DSS (on the example of Ukraine oil&gas production company)] Innovatsiino-investytsiinyi mekhanizm zabezpechennia konkurentospromozhnosti krainy: kolektyvna monohrafiia / za zah. red. O. L. Haltsovoi - Innovation and investment mechanism for ensuring the country's competitiveness: collective monograph / by general ed. O. L. Khultsova. – Lviv-Torun: League-Pres, 2022. – pp. 194-211. [in Ukrainian].

Krasnyuk, M., Hrashchenko, I., Goncharenko, S., Krasniuk, S. (2022). Hybrid application of decision trees, fuzzy logic and production rules for supporting investment decision making (on the example of an oil and gas producing company). Access to science, business, innovation in digital economy, ACCESS Press, 3(3): 278-291. DOI: https://doi.org/10.46656/access.2022.3.3(7)

Hrashchenko I.S., Krasniuk M.T., Krasniuk S.O. (2019). Hibrydno-stsenarne zastosuvannia intelektualnykh, oriientovanykh na znannia tekhnolohii, yak vazhlyvyi antykryzovyi instrument lohistychnykh kompanii v Ukraini [Hybrid-scenario application of intellectual, knowledge-oriented technologies as an important anti-crisis tool of logistics companies in Ukraine]. Vcheni zapysky Tavriiskoho Natsionalnoho Universytetu imeni V. I. Vernadskoho. Seriia: Ekonomika i upravlinnia – Scientific notes of Tavri National University named after V. I. Vernadskyi. Series: Economics and management, 2019. Vol. 30 (69). pp.121 – 129. [in Ukrainian].

Maxim Krasnyuk, Illia Krasnuik (2024). Big data analysis and analytics for marketing and retail. Zbirnyk tez Mizhnarodnoi naukovoi konferentsii «Shtuchnyi intelekt u nautsi ta osviti» (AISE) - Collection of theses of the International Scientific Conference "Artificial Intelligence in Science and Education" (AISE). - March 1-2, 2024, Kyiv, Ukraine.

Maxim Krasnyuk, Svitlana Nevmerzhytska, Tetiana Tsalko. (2024). Processing, analysis & analytics of big data for the innovative management. Grail of Science, #38, April 2024. pp. 75-83. https://www.journal-grail.science/issue38.pdf

Maxim Krasnyuk, Dmytro Elishys (2024). Perspectives and problems of big data analysis & analytics for effective marketing of tourism industry. Science and technology today, №4 (32) 2024. 833-857

Zhang, Y. (2017). Evolutionary algorithms in translation studies: A review of applications and prospects. Perspectives: Studies in Translatology,