- Issue
- Journal of Siberian Federal University. Mathematics & Physics. 2015 8 (1)
- Authors
- ˇSkraba, Andrej; Kofjaˇc, Davorin; ˇZnidarˇsiˇc, Anja; Maletiˇ, Matjaˇz; Rozman, ˇCrtomir; Semenkina, Maria E.; Semenkin, Eugene S.; Stanovov, Vladimir V.
- Contact information
- ˇSkraba, Andrej:Faculty of Organizational Sciences University of Maribor Kidriˇceva cesta, 55a, SI−4000 Kranj Slovenia; andrej.skraba @fov.uni-mb.si; Kofjaˇc, Davorin:Faculty of Organizational Sciences University of Maribor Kidriˇceva cesta, 55a, SI−4000 Kranj Slovenia; davorin.kofjac@fov.uni-mb.si; ˇZnidarˇsiˇc, Anja:Faculty of Organizational Sciences University of Maribor Kidriˇceva cesta, 55a, SI−4000 Kranj Slovenia; anja.znidarsic@fov.uni-mb.si; Maletiˇ, Matjaˇz:Faculty of Organizational Sciences University of Maribor Kidriˇceva cesta, 55a, SI−4000 Kranj Slovenia; matjaz.maletic@fov.uni-mb.si; Rozman, ˇCrtomir:Faculty of Agriculture and Life Sciences University of Maribor Pivola, 10, SI−2311 Hoˇce Slovenia; crtomir.rozman@um.si; Semenkina, Maria E.:Siberian State Aerospace University Krasnoyarsky rabochy, 31, Krasnoyarsk, 660014 Russia; semenkina88@mail.ru; Semenkin, Eugene S.:Siberian State Aerospace University Krasnoyarsky rabochy, 31, Krasnoyarsk, 660014 Russia; eugenesemenkin@yandex.ru; Stanovov, Vladimir V.:Siberian State Aerospace University Krasnoyarsky rabochy, 31, Krasnoyarsk, 660014 Russia; vladimirstanovov@yandex.ru
- Keywords
- human resources management; simulation; genetic algorithm; constrained optimization; self-configuration
- Abstract
This paper describes the problem of human resource management which can appear in many organiza- tions 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 prob- lem, 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
- Pages
- 94–103
- Paper at repository of SibFU
- https://elib.sfu-kras.ru/handle/2311/16693
Journal of Siberian Federal University. Mathematics & Physics / Application of Self-Gonfiguring Genetic Algorithm for Human Resource Management
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