Национальный цифровой ресурс Руконт - межотраслевая электронная библиотека (ЭБС) на базе технологии Контекстум (всего произведений: 636199)
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Первый авторSkraba Andrej
АвторыDavorin Kofjaˇc, Matjaˇz Maletiˇc
Страниц10
ID453661
АннотацияThis paper describes the problem of human resource management which can appear in many organizations during restructuration periods. The problem is simulated by a dynamic model, similar to a supply chain model with several ranks. The problem of finding the optimal combination of transition coefficients, including the fluctuation coefficients, is transformed into an optimization problem. To solve this problem, a self-configuring genetic algorithm is applied with several constraint handling methods. Additional constraints are defined in order to avoid undesirable oscillations in the system. The results show that this problem can be efficiently solved by the presented methods.
УДК519.78
Skraba, A. Application of Self-Gonfiguring Genetic Algorithm for Human Resource Management / A. Skraba, Kofjaˇc Davorin, Maletiˇc Matjaˇz // Журнал Сибирского федерального университета. Математика и физика. Journal of Siberian Federal University, Mathematics & Physics .— 2015 .— №1 .— С. 94-103 .— URL: https://rucont.ru/efd/453661 (дата обращения: 19.05.2024)

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Mathematics & Physics 2015, 8(1), 94–103 УДК 519.78 Application of Self-Gonfiguring Genetic Algorithm for Human Resource Management Andrej ˇ Anja ˇ Skraba,∗ Davorin Kofjaˇ Znidarˇ c,‡ Matjaˇ siˇ Kidriˇ z Maletiˇ c† c§ Faculty of Organizational Sciences University of Maribor ceva cesta, 55a, SI−4000 Kranj Slovenia Crtomir Rozman¶ ˇ Faculty of Agriculture and Life Sciences University of Maribor ce Pivola, 10, SI−2311 Hoˇ Slovenia Eugene S. Semenkin, Maria E. Semenkina∗∗ Vladimir V. Stanovov†† Siberian State Aerospace University Krasnoyarsky rabochy, 31, Krasnoyarsk, 660014 Russia Received 10.11.2014, received in revised form 02.12.2014, accepted 15.12.2014 This paper describes the problem of human resource management which can appear in many organizations during restructuration periods. <...> The problem is simulated by a dynamic model, similar to a supply chain model with several ranks. <...> The problem of finding the optimal combination of transition coefficients, including the fluctuation coefficients, is transformed into an optimization problem. <...> To solve this problem, a self-configuring genetic algorithm is applied with several constraint handling methods. <...> Additional constraints are defined in order to avoid undesirable oscillations in the system. <...> Introduction The present paper describes the continuation of the research in the field of human resource management [1] where the problem of modelling and optimal control of the restructuring process ∗andrej.skraba @fov.uni-mb.si †davorin.kofjac@fov.uni-mb.si ‡anja.znidarsic@fov.uni-mb.si §matjaz.maletic@fov.uni-mb.si ¶crtomir.rozman@um.si eugenesemenkin@yandex.ru ∗∗semenkina88@mail.ru ††vladimirstanovov@yandex.ru  Siberian Federal University. <...> All rights reserved c – 94 – Aandrej ˇ Skraba et al. <...> Application of Self-Configuring Genetic Algorithm for Human Resource Management in a hierarchicalmanagement systemfor eight topmost ranks was addressed. <...> Since new standards for the structure of the system were issued, the goal was to achieve new desired values, i.e. number of officers in a particular rank in the shortest possible time. <...> The problem of human resource management is similar to the problem of supply chain management therefore the results provided in the present paper could also be applied in the field of supply chains. <...> Efficient control of the supply chain is one <...>