Skip to main content
Have a personal or library account? Click to login
Hybridization of Stochastic Local Search and Genetic Algorithm for Human Resource Planning Management Cover

Hybridization of Stochastic Local Search and Genetic Algorithm for Human Resource Planning Management

Organizacija
Volume 49 (2016): Issue 1 (February 2016)
By: ,  ,   and    
Open Access
|Mar 2016
References

References

  1. Babaei, M., Zahra, G., & Soudabeh, A. (2015). Challenges of Enterprise Resource Planning implementation in Iran large organizations. Information Systems, 54, 15-27, http://dx.doi.org/10.1016/j.is.2015.05.003
    Open DOISearch in Google Scholar
  2. Borštnar Kljajić, M., Kljajić, M., Škraba, A., Kofjač, D., & Rajkovič, V. (2011). The relevance of facilitation in group decision making supported by a simulation model. System Dynamics Review, 27(3), 270-293, http://dx.doi.org/10.1002/sdr.460
    Open DOISearch in Google Scholar
  3. Cabanillas, C., Resinas, M., del-Río-Ortega, A., & Cortés, A.R. (2015). Specification and automated design-time analysis of the business process human resource perspective. Information Systems, 52, 55-82, http://dx.doi.org/10.1016/j.is.2015.03.002
    Open DOISearch in Google Scholar
  4. Gupta, A., & Ghosal, A. (2014). A manpower planning model based on length of service under varying class sizes. OPSEARCH, 51(4), 615-623, http://dx.doi.org/10.1007/s12597-013-0162-1
    Open DOISearch in Google Scholar
  5. Kljajić M., Bernik I., & Škraba A. (2000). Simulation approach to decision assessment in enterprises. Simulation, 75 (4), 199-210, http://dx.doi.org/10.1177/003754970007500402
    Open DOISearch in Google Scholar
  6. Kofjač, D., Bavec, B., & Škraba, A. (2015). Web application for hierarchical organizational structure optimization - human resource management case study. Organizacija, 48(3), 177-187, http://dx.doi.org/10.1515/orga-2015-0012
    Open DOISearch in Google Scholar
  7. Lin, D., Yue, T., Ganggang, N., Yongqing, X., Xin, S., Changrui, R., & Zongying, Z. (2015). Scheduling Workforce for Retail Stores with Employee Preferences. In 2015 IEEE International Conference on Service Operations And Logistics, And Informatics (SOLI), 15-17 November 2015 (pp. 37-42). Piscataway, NJ, USA: IEEE.
    Search in Google Scholar
  8. Majd, A. M. K., Mahootchi, M., & Zakery A. (2015). A reinforcement learning methodology for a human resource planning problem considering knowledge-based promotion. Simulation Modelling Practice and Theory, in press, http://dx.doi.org/10.1016/j.simpat.2015.07.004
    Open DOISearch in Google Scholar
  9. Rozman, Č., Pažek, K., Kljajić, M., Bavec, M., Turk, J., Bavec, F., Kofjač, D., & Škraba, A. (2013). The dynamic simulation of organic farming development scenarios-A case study in Slovenia. Computers and Electronics in Agriculture, 96, 163-172, http://dx.doi.org/10.1016/j.compag.2013.05.005
    Open DOISearch in Google Scholar
  10. Škraba, A, Kljajić, M-, Papler, P., Kofjač, D., & Obed, M. (2011). Determination of recruitment and transition strategies. Kybernetes, 40(9/10), 1503-1522, http://dx.doi.org/10.1108/03684921111169512
    Open DOISearch in Google Scholar
  11. Škraba A., Kljajić M., & Kljajić, M.B. (2007). The role of information feedback in the management group decision-making process applying system dynamics models. Group Decision and Negotiation, 16(1), 77-95, http://dx.doi.org/10.1007/s10726-006-9035-9
    Open DOISearch in Google Scholar
  12. Škraba A., Kljajić M., & Leskovar R. (2003). Group exploration of system dynamics models - is there a place for a feedback loop in the decision process? System Dynamics Review, 19(3), 243-263, http://dx.doi.org/10.1002/sdr.274
    Open DOISearch in Google Scholar
  13. Škraba, A., Kofjač, D., Žnidaršič, A., Maletič, M., Rozman, Č., Semenkin, E.S., Semenkina, M. E., & Stanovov, V. V. (2015). Application of Self-Configuring genetic algorithm for human resource management. Journal of Siberian Federal University - Mathematics and Physics. 8(1), 94-103.
    Open DOISearch in Google Scholar
  14. Škraba, A., Kofjač, D., Žnidaršič, A., Rozman, Č., & Maletič, M. (2015). Application of finite automata with genetic algorithms in JavaScript for determination of manpower system control. Vestnik Sibirskogo gosudarstvennogo aèrokosmičeskogo universiteta imeni M. F. Rešetneva, 16(1), 153-158.
    Search in Google Scholar
  15. Škraba, A., Stanovov, V. V., Žnidaršič, A., Rozman, Č., & Kofjač, D. (2015). Consideration of optimal control of strictly hierarchical manpower system. In The 4th International Workshop on Mathematical Models and their Applications IWMMA 2015, 24-26 November 2015 (p. 9), Krasnoyarsk, Russia: Siberian State Aerospace University.
    Search in Google Scholar
DOI: https://doi.org/10.1515/orga-2016-0005 | Journal eISSN: 1581-1832 | Journal ISSN: 1318-5454
Journal RSS Feed
Language: English
Page range: 42 - 54
Submitted on: Aug 14, 2015
Accepted on: Nov 15, 2015
Published on: Mar 10, 2016
Published by: University of Maribor
In partnership with: Paradigm Publishing Services
Keywords:
stochastic local search,
system dynamics,
human resources,
manpower,
simulation
Related subjects:
Business and economics,
Business management,
Management, organization, corporate governance

© 2016 Andrej Škraba, Vladimir Stanovov, Eugene Semenkin, Davorin Kofjač, published by University of Maribor
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 49 (2016): Issue 1 (February 2016)
Previous article
Next article