Metaheuristics for Linguistic Optimization in the SHIVA Era

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Published: 18.07.2026

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Krasniuk Svitlana
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Abstract

The article considers the possibilities of applying metaheuristic optimization methods in modern linguistics under the conditions of the SHIVA world. The main metaheuristic algorithms and their use in natural language processing, language model optimization, machine translation, and big text data analysis are analyzed. The advantages of integrating metaheuristic methods with artificial intelligence and machine learning technologies to increase the efficiency of digital linguistic research are substantiated.

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Data Availability Statement

All data supporting the findings of this study are presented in the text of the scientific work.

Issue

No. 301 (2026): 10th ISPC «Experimental and Theoretical Research in Modern Science» (July 16-18, 2026; Toronto, Canada).

Section

Philology and Linguistics
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Author Biography

Krasniuk Svitlana, Kyiv National University of Technologies and Design

Senior Lecturer; Department of Philology and Translation; Kyiv National University of Technologies and Design; Ukraine

How to Cite

Krasniuk, S. (2026). Metaheuristics for Linguistic Optimization in the SHIVA Era. Scientific Collection «InterConf», 301, 69-77. https://interconf.openpubarchive.com/index.php/proceeding/article/view/22

References

Goncharenko S. (2025). Methodological bases of innovative information systems in the field of computer linguistics. Trends, Issues, and Challenges in Modern Science: Proceedings of the 2nd International Scientific Conference (Cambridge, United Kingdom, 5 September 2025). - Lulu Press, Inc., 2025. - P. 100 -103. URL: https://er.knutd.edu.ua/handle/123456789/31071

Goncharenko S. (2025). Innovative IT technologies of computational linguistics. Trends, Issues, and Challenges in Modern Science: Proceedings of the 2nd International Scientific Conference (Cambridge, United Kingdom, 5 September 2025). - Lulu Press, Inc., 2025. - P. 109 -113.URL: https://test.knutd.edu.ua/handle/123456789/31072

Goncharenko S. (2025). Intelligent information technologies for innovative management of advanced philology projects. Innovations and New Directions in Scientific Research: Proceedings of the 2nd International Scientific Conference (Manchester, United Kin gdom, 20 September 2025). - Lulu Press, Inc., 2025. - P. 176 -179. URL: https://er.knutd.edu.ua/handle/123456789/31648

Naumenko M., Hrashchenko I. (2024). Suchasnyi shtuchnyi intelekt v antykryzovomu upravlinni konkurentnymy pidpryiemstvamy ta kompaniiamy [Modern artificial intelligence in anti -crisis management of competitive enterprises and companies]. Grail of Science. No. 42. P. 120–137. DOI: https://doi.org/10.36074/grail-of- science.02.08.2024.015

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, (pp. 63 -70). DOI: https://doi.org/10.36074/grail -of- science.27.05.2022

Goncharenko S. (2025). Mathematical optimization as element of innovative educational management in modern complex conditions. Science and Global Challenges in the Modern World: Proceedings of the 2nd International Scientific Conference (Leicester, United Kingdom, 5 October 2025). - Lulu Press, Inc., 2025. - P. 90-94. URL: https://er.knutd.edu.ua/handle/123456789/31667

Krasnyuk M.T., Naumenko M.A. (2024) Efektyvne zastosuvannia henetychnykh alhorytmiv u vyrishenni bahatoekstremumnykh optymizatsiinykh zadach v menedzhmenti konkurentnoho pidpryiemstva [Effective application of genetic algorithms in solving multi - extremum optimization problems in the management of a competitive enterprise]. Grail of Science, № 41, June 2024, 65 -73. URL: https://archive.journal-grail.science/index.php/2710- 3056/issue/view/05.07.2024/29 [in Ukrainian].

Maxim Krasnyuk, Svitlana Krasniuk (2024). CHAPTER 6. Evolutionary technologies and genetic algorithms in machine translation. Innovation in modern science: Education and Pedagogy, Philosophy, Philology, Art History and Culture, The current stage of development of scientific and technological progress Februar y 2026 Conference proceedings 214 Medicine and Healthcare. Monographic series «European Science». Book 30. Part 3. 2024. pp. 91 -98, Published by: ScientificWorld-NetAkhatAV, Lußstr. 1376227 Karlsruhe, Germany https://desymp.promonograph.org/index.php/sge/issue/view/sge30- 03/sge30-03

Krasnyuk, M. (2014). Hybridization of intelligent methods of business data analysis (anomaly detection mode) as a standard tool of corporate audit. The state and prospects of the development Education and science of today: materials of the III International science and practice conf. [m. Ternopil, October 10 -11. 2014]. TNEU, 2014. pp. 211-212 [in Ukrainian].

Derbentsev, V. D., V. M. Soloviov, and O. V. Serdiuk (2005) Precursors of critical phenomena in complex economic systems. Modeling of nonlinear dynamics of economic systems. - Donetsk: DonNU, 1 (2005). pp. 5-13 [in Ukrainian].