{"id":6717,"date":"2026-02-22T22:17:40","date_gmt":"2026-02-22T22:17:40","guid":{"rendered":"https:\/\/izvestiyakbncran.ru\/?page_id=6717"},"modified":"2026-05-15T11:32:13","modified_gmt":"2026-05-15T10:32:13","slug":"28-1-12-en","status":"publish","type":"page","link":"https:\/\/izvestiyakbncran.ru\/index.php\/en\/28-1-12-en\/","title":{"rendered":"28.1.12 En"},"content":{"rendered":"\n<h1 class=\"wp-block-heading has-lora-font-family\" style=\"font-size:24px\"><strong>Fuzzy metaheuristic method for allocating employees to project tasks<\/strong><\/h1>\n\n\n\n<p class=\"has-foreground-color has-text-color has-link-color has-lora-font-family has-extra-small-font-size wp-elements-02a97e4f8c4e6d6fdd14c2ad22810b75 wp-block-paragraph\" style=\"margin-top:0;margin-bottom:0;padding-top:0;padding-bottom:0\"><strong>D.D. Yartsev, M.Yu. Vorotilova, S.V. Mordvin<\/strong><\/p>\n\n\n\n<div class=\"wp-block-group is-vertical is-content-justification-left is-nowrap is-layout-flex wp-container-core-group-is-layout-20193d73 wp-block-group-is-layout-flex\" style=\"border-style:none;border-width:0px;margin-top:0;margin-bottom:0;padding-top:0;padding-bottom:0\">\n<p class=\"has-text-color has-link-color has-lora-font-family wp-elements-1934a6274ad67c2dd8d97ce7471e2bbb wp-block-paragraph\" style=\"color:#5b1919;font-size:12px;text-decoration:underline\"><\/p>\n\n\n\n<div class=\"wp-block-group is-horizontal is-layout-flex wp-container-core-group-is-layout-9076828a wp-block-group-is-layout-flex\" style=\"min-height:0px;margin-top:0;margin-bottom:0;padding-top:0;padding-bottom:0\">\n<div class=\"wp-block-buttons is-content-justification-left is-layout-flex wp-container-core-buttons-is-layout-856cf56e wp-block-buttons-is-layout-flex\" style=\"margin-top:0;margin-bottom:0;padding-top:0;padding-right:0;padding-bottom:0;padding-left:0\">\n<div class=\"wp-block-button has-custom-width wp-block-button__width-100 is-style-outline is-style-outline--1\"><a class=\"wp-block-button__link has-background-background-color has-text-color has-background has-link-color has-border-color has-custom-font-size wp-element-button\" href=\"http:\/\/izvestiyakbncran.ru\/wp-content\/uploads\/2026\/05\/12-yarczev-vorotilov.pdf\" style=\"border-color:#5b1919;border-style:solid;border-width:2px;border-radius:8px;color:#5b1919;padding-top:0.4rem;padding-right:var(--wp--preset--spacing--40);padding-bottom:0.4rem;padding-left:var(--wp--preset--spacing--40);font-size:12px\">PDF<\/a><\/div>\n<\/div>\n\n\n\n<div style=\"height:0px;width:0px\" aria-hidden=\"true\" class=\"wp-block-spacer wp-container-content-273e683f\"><\/div>\n\n\n\n<div class=\"wp-block-buttons is-layout-flex wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button has-custom-width wp-block-button__width-100 is-style-outline is-style-outline--2\"><a class=\"wp-block-button__link has-background-background-color has-text-color has-background has-link-color has-border-color has-text-align-center has-custom-font-size wp-element-button\" href=\"https:\/\/journals.rcsi.science\/1991-6639\/article\/xml\/392101\" style=\"border-color:#5b1919;border-width:2px;border-top-left-radius:8px;border-top-right-radius:8px;border-bottom-left-radius:8px;border-bottom-right-radius:8px;color:#5b1919;padding-top:0.4rem;padding-right:var(--wp--preset--spacing--40);padding-bottom:0.4rem;padding-left:var(--wp--preset--spacing--40);font-size:12px\">JATS XML<\/a><\/div>\n<\/div>\n<\/div>\n\n\n\n<p class=\"has-text-color has-link-color has-lora-font-family has-extra-small-font-size wp-elements-41ee428b6a5740c7f514a7432ff786a3 wp-block-paragraph\" style=\"border-style:none;border-width:0px;border-top-left-radius:0px;border-top-right-radius:0px;border-bottom-left-radius:0px;border-bottom-right-radius:0px;color:#5b1919;margin-top:0;margin-right:0;margin-bottom:0;margin-left:0;padding-top:0;padding-right:0;padding-bottom:0;padding-left:0\"><\/p>\n<\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity is-style-wide\" style=\"margin-top:var(--wp--preset--spacing--20);margin-bottom:var(--wp--preset--spacing--20)\"\/>\n\n\n\n<p class=\"has-foreground-color has-text-color has-link-color has-lora-font-family has-extra-small-font-size wp-elements-0ad8156032c059b6700333579b4187b3 wp-block-paragraph\" style=\"line-height:1.4\"><em><strong><strong>Abstract<\/strong>.<\/strong> <\/em>Project implementation planning plays a key role in project management, especially in the context of rapidly increasing project complexity and resource constraints.<br><strong>Aim<\/strong>. This study was to develop a method for optimally distributing project staff across tasks, minimizing staff overload and ensuring adherence to time and budget constraints.<br><strong>Materials and methods<\/strong>. To solve this problem, we proposed a hybrid method combining the Worm Optimization algorithm, which models the foraging behavior of Caenorhabditis elegans worms, and the fuzzy clustering method FCM, which is used to narrow the solution space. The Python libraries NetworkX, Scikit-Fuzzy, Matplotlib, and Plotly were used to implement the proposed method. To reduce the search space dimensionality, fuzzy clustering FCM was used, enabling the identification of a solution cluster characterizing the most suitable employees in terms of team characteristics.<br><strong>Results<\/strong>. As part of the study, a software tool in Python has been implemented that enables automated task distribution among performers. A computational experiment has also been conducted to evaluate the effectiveness of the proposed method and compare its results with those of the popular bioinspired Ant Colony Optimization algorithm, which is characterized by similar agent behavior patterns during solution search.<br><strong>Conclusions<\/strong>. The validation results demonstrate the advantage of the hybrid method over the basic Worm Optimization algorithm and Ant Colony Optimization, as evidenced by lower objective function values and reduced employee overload, confirming the method&#8217;s effectiveness in assigning project performers to tasks.<\/p>\n\n\n\n<p class=\"has-foreground-color has-text-color has-link-color has-lora-font-family has-extra-small-font-size wp-elements-df03325adc83c022634de6b79d43432f wp-block-paragraph\" style=\"line-height:1.4\"><\/p>\n\n\n\n<p class=\"has-foreground-color has-text-color has-link-color has-lora-font-family has-extra-small-font-size wp-elements-84c1540abf232cfe3e2f70641d0cd44e wp-block-paragraph\" style=\"line-height:1.4\"><strong><em><strong>Keywords<\/strong>:<\/em><\/strong> human resource management, conditional multicriteria optimization, metaheuristics, \u201cWorm Optimization\u201d, fuzzy clustering<\/p>\n\n\n\n<p class=\"has-foreground-color has-text-color has-link-color has-lora-font-family has-extra-small-font-size wp-elements-df03325adc83c022634de6b79d43432f wp-block-paragraph\" style=\"line-height:1.4\"><\/p>\n\n\n\n<p class=\"has-foreground-color has-text-color has-link-color has-lora-font-family wp-elements-5adafbf6835862cf83423289c85b8f7a wp-block-paragraph\" style=\"font-size:12px;line-height:1.4\"><strong><strong>For citation<\/strong>.<\/strong> Yartsev D.D., Vorotilova M.Yu., Mordvin S.V. Fuzzy metaheuristic method for allocating employees to project tasks. News of the Kabardino-Balkarian Scientific Center of RAS. 2026. Vol. 28. No. 1. Pp. 175\u2013187. DOI: 10.35330\/1991-6639-2026-28-1-175-187<\/p>\n\n\n\n<p class=\"has-foreground-color has-text-color has-link-color has-lora-font-family wp-elements-77a7c6a3f1989fc8a517c1afca989c09 wp-block-paragraph\" style=\"font-size:12px;line-height:1.4\">\u00a9&nbsp;&nbsp; Yartsev D.D., Vorotilova M.Yu., Mordvin S.V., 2026<\/p>\n\n\n\n<div class=\"wp-block-group is-nowrap is-layout-flex wp-container-core-group-is-layout-93eb802a wp-block-group-is-layout-flex\" style=\"margin-top:var(--wp--preset--spacing--20);margin-bottom:var(--wp--preset--spacing--20);padding-top:0;padding-bottom:0;padding-left:0\">\n<figure class=\"wp-block-image\"><img loading=\"lazy\" decoding=\"async\" width=\"80\" height=\"28\" src=\"https:\/\/izvestiyakbncran.ru\/wp-content\/uploads\/2026\/03\/image.png\" alt=\"\" class=\"wp-image-7229\"\/><\/figure>\n\n\n\n<p class=\"has-foreground-color has-text-color has-link-color has-lora-font-family wp-elements-3432ccc183989ccba85968ee39dc748b wp-block-paragraph\" style=\"margin-top:var(--wp--preset--spacing--20);margin-bottom:0;font-size:12px;line-height:1.4\">Content is available under license&nbsp;<a href=\"http:\/\/creativecommons.org\/licenses\/by\/4.0\/\" target=\"_blank\" rel=\"noreferrer noopener\">Creative Commons Attribution 4.0 License<\/a><\/p>\n<\/div>\n\n\n\n<p class=\"has-foreground-color has-text-color has-link-color has-lora-font-family wp-elements-17c3333a0b1db39b7fa4a3e1a1572bc4 wp-block-paragraph\" style=\"font-size:12px;line-height:1.4\"><\/p>\n\n\n\n<details class=\"wp-block-details has-foreground-color has-text-color has-link-color has-lora-font-family has-extra-small-font-size wp-elements-2bd20395999d980537680ef25657f879 is-layout-flow wp-container-core-details-is-layout-f488f964 wp-block-details-is-layout-flow\" style=\"font-style:normal;font-weight:700;line-height:1.5\"><summary><strong>R<\/strong>eferences<\/summary>\n<ol style=\"margin-top:0;margin-bottom:0\" class=\"wp-block-list\">\n<li style=\"font-style:normal;font-weight:400\">Rubin Yu.B. Management of participation in competition as a field of scientific research. Journal of Modern Competition. 2024. Vol. 18. No. 1(97). Pp. 69\u201391. DOI: 10.37791\/2687-0657-2024-18-1-69-91. (In Russian)<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">Dli M.I., Stoyanova O.V., Belozersky A.Yu. A trajectory assessment model for project management in the field of high-tech industrial products. Journal of Applied Informatics. 2015. Vol. 10. No. 6(60). Pp. 105\u2013117. (In Russian)<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">Komarova L.A., Cheremuhin A.D. Increasing the efficiency of recruitment based on deep neural networks. Journal of Applied Informatics. 2024. Vol. 19. No. 2(110). Pp. 10\u201322. DOI: 10.37791\/2687-0649-2024-19-2-10-22. (In Russian)<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">Bulygina O.V., Yartsev D.D., Kulyasov N.S. et al. Fuzzy bioinspired method for forming a set of candidates for linear positions. Journal of Applied Informatics. 2025. Vol. 20. No. 2(116). Pp. 4\u201323. DOI: 10.37791\/2687-0649-2025-20-2-4-23. (In Russian)<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">Kalinin A.R., Zueva N.A. Creation and application of graph models for employee recruitment tasks. Journal of Applied Informatics. 2025. Vol. 20. No. 3. Pp. 43\u201365. DOI: 10.37791\/2687-0649-2025-20-3-43-65. (In Russian)<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">Glazkova A.S., Tutov S.V., Rozhkov V.V. Formation of personnel potential of chemical enterprises using multi-stage mechanism of target set of applicants of universities. Journal of Modern Competition. 2025. Vol. 19. No. 1. Pp. 38\u201351. DOI: 10.37791\/2687-0657-2025-19-1-38-51. (In Russian)<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">Epikhin A.I. Optimization of working process parameters of marine engines based on the method of multicriteria optimization. Marine Intelligent Technologies. 2023. No. 4-1. Pp. 53\u201357. DOI: 10.37220\/MIT.2023.62A.006. (In Russian)<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">Jayan C.Ya., Malykhnia G.F. Multi-criterion optimization of control process based on DPCA and ANN. Systems analysis in design and management. 2024. Pp. 7\u201314. DOI: 10.18720\/SPBPU\/2\/id24-492<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">Eremina I.I. Mathematical model for solving the optimization problem of distribution of production and labor resources of an enterprise. X Mezhdunarodnaya nauchno-prakticheskaya konferenciya \u00abETAP-2023\u00bb. Naberezhnye Chelny, KFU. 2024. Pp. 608\u2013621. (In Russian)<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">B\u00f6\u00f0varsd\u00f3ttir E.B., Stidsen T. A review of multi-objective optimization methods for personnel rostering problems. Journal of Scheduling. 2025. DOI: 10.1007\/s10951-025-00845-0<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">Rodr\u00edguez-Ballesteros S., Alcaraz J., Anton-Sanchez L. Metaheuristics for the bi-objective resource-constrained project scheduling problem with time-dependent resource costs: An experimental comparison. Computers &amp; Operations Research. 2024. Pp. 163. DOI: 10.1016\/j.cor.2023.106489<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">Yang J., Qiu A., Yang Zh. Fuzzy clustering method with approximate orthogonal regularization. Applied Soft Computing. 2023. Vol. 147. Pp. 110829. DOI: 10.1016\/j.asoc.2023.110829<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">Nesamalar K.E., Satheeshkumar J., Amudha T. Efficient DNA-ligand interaction framework using fuzzy C-means clustering based glowworm swarm optimization (FCMGSO) method. Journal of Biomolecular Structure and Dynamics. 2023. Vol. 41. No. 13. Pp. 6249\u20136261. DOI: 10.1080\/07391102.2022.2105958<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">Arnaout J-P. A worm optimization algorithm to minimize the makespan on unrelated parallel machines with sequence-dependent setup times. Annals of Operations Research. 2020. Vol. 285. Pp. 273\u2013293. DOI: 10.1007\/s10479-019-03138-w<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">Dli M.I., Puchkov A.Yu., Maksimkin M.V. A software model of an intelligent control system for complex processing of small ore raw materials. Journal of Applied Informatics. 2024. Vol. 19. No. 6(114). Pp. 96\u2013112. DOI: 10.37791\/2687-0649-2024-19-6-96-112. (In Russian)<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">Galimullin N.R. Python: using Python to automate everyday tasks. Ekonomika i upravlenie problemy resheniya [Economics and Management: Problems and Solutions]. 2024. Vol. 9. No. 9(150). Pp. 69\u201376. DOI: 10.36871\/ek.up.p.r.2024.09.09.010. (In Russian)<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">Dorigo M., Birattari M., St\u00fctzle T. Ant colony optimization. Computational Intelligence Magazine. 2006. Vol. 1. Pp. 28\u201339. DOI: 10.1109\/MCI.2006.329691<\/li>\n<\/ol>\n<\/details>\n\n\n\n<details class=\"wp-block-details has-foreground-color has-text-color has-link-color has-lora-font-family has-extra-small-font-size wp-elements-d646112e76393139f1150f8aa9e80efe is-layout-flow wp-container-core-details-is-layout-9ff6af70 wp-block-details-is-layout-flow\" style=\"font-style:normal;font-weight:700;line-height:1.5\"><summary><strong>Information about the author<\/strong>s<\/summary>\n<div class=\"wp-block-group is-vertical is-layout-flex wp-container-core-group-is-layout-1c18c512 wp-block-group-is-layout-flex\" style=\"min-height:0px;margin-top:0;margin-bottom:0;padding-top:var(--wp--preset--spacing--20);padding-right:var(--wp--preset--spacing--40);padding-bottom:var(--wp--preset--spacing--20);padding-left:var(--wp--preset--spacing--40)\">\n<p class=\"wp-block-paragraph\" style=\"font-style:normal;font-weight:400\"><strong>Denis D. Yertsev<\/strong>, Postgraduate Student, Rosinformagrotech;<br>60, Lesnaya street, Pushkinsky Urban District, Pravdinsky Urban Settlement, Moscow Region, 141261, Russia;<br>Yarcevdd@me.com, ORCID: https:\/\/orcid.org\/0009-0009-0760-4783<br><strong>Margarita Yu. Vorotilova<\/strong>, Postgraduate Student, Branch of the National Research University \u201cMoscow Power Engineering Institute\u201d in Smolensk;<br>1, Energetichesky proezd, Smolensk, 214013, Russia;<br>rita.vorotilova@mail.ru, ORCID: https:\/\/orcid.org\/0009-0001-4646-3540, SPIN-code: 6572-7685<br><strong>Sergey V. Mordvin<\/strong>, Assistant of the Department, Branch of the National Research University \u201cMoscow Power Engineering Institute\u201d in Smolensk;<br>1, Energetichesky proezd, Smolensk, 214013, Russia;<br>mors@1eska.ru, ORCID: https:\/\/orcid.org\/0009-0005-8121-0716<\/p>\n\n\n\n<p class=\"wp-block-paragraph\" style=\"font-style:normal;font-weight:400\"><\/p>\n<\/div>\n<\/details>\n\n\n\n<details class=\"wp-block-details has-foreground-color has-text-color has-link-color has-lora-font-family has-extra-small-font-size wp-elements-59728d2fa08781432c8adc04e8c7d1a8 is-layout-flow wp-block-details-is-layout-flow\"><summary><strong>Funding<\/strong><\/summary>\n<p class=\"wp-block-paragraph\" style=\"margin-top:var(--wp--preset--spacing--20);margin-bottom:var(--wp--preset--spacing--20)\">The study was performed without external funding.<\/p>\n<\/details>\n","protected":false},"excerpt":{"rendered":"<p>Fuzzy metaheuristic method for allocating employees to project tasks D.D. Yartsev, M.Yu. Vorotilova, S.V. Mordvin Abstract. Project implementation planning plays a key role in project management, especially in the context of rapidly increasing project complexity and resource constraints.Aim. This study was to develop a method for optimally distributing project staff across tasks, minimizing staff overload [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"wp-custom-template-home","meta":{"footnotes":""},"class_list":["post-6717","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.8 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>28.1.12 En - \u0418\u0417\u0412\u0415\u0421\u0422\u0418\u042f \u041a\u0410\u0411\u0410\u0420\u0414\u0418\u041d\u041e-\u0411\u0410\u041b\u041a\u0410\u0420\u0421\u041a\u041e\u0413\u041e \u041d\u0410\u0423\u0427\u041d\u041e\u0413\u041e \u0426\u0415\u041d\u0422\u0420\u0410 \u0420\u0410\u041d\u00bb<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/izvestiyakbncran.ru\/index.php\/en\/28-1-12-en\/\" \/>\n<meta property=\"og:locale\" content=\"ru_RU\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"28.1.12 En - \u0418\u0417\u0412\u0415\u0421\u0422\u0418\u042f \u041a\u0410\u0411\u0410\u0420\u0414\u0418\u041d\u041e-\u0411\u0410\u041b\u041a\u0410\u0420\u0421\u041a\u041e\u0413\u041e \u041d\u0410\u0423\u0427\u041d\u041e\u0413\u041e \u0426\u0415\u041d\u0422\u0420\u0410 \u0420\u0410\u041d\u00bb\" \/>\n<meta property=\"og:description\" content=\"Fuzzy metaheuristic method for allocating employees to project tasks D.D. 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