References
- 1. Alba, E., G. Luque, F. Luna. Parallel Metaheuristics for Workforce Planning. – J. Mathematical Modelling and Algorithms, Vol. 6, Springer, 2007, No 3, pp. 509-528.10.1007/s10852-007-9058-5
- 2. Bonabeau, E., M. Dorigo, G. Theraula. Swarm Intelligence: From Natural to Artificial Systems. New York, Oxford University Press, 1999.10.1093/oso/9780195131581.001.0001
- 3. Campbell, G. A Two-Stage Stochastic Program for Scheduling and Allocating Cross-Trained Workers. – J. Operational Research Society, Vol. 62, 2011, No 6, pp. 1038-1047.10.1057/jors.2010.16
- 4. Dorigo, M., T. T. Stutzle. Ant Colony Optimization. MIT Press, 2004.10.7551/mitpress/1290.001.0001
- 5. Easton, F. Service Completion Estimates for Cross-Trained Workforce Schedules under Uncertain Attendance and Demand. – Production and Operational Management, Vol. 23, 2014, No 4, pp. 660-675.10.1111/poms.12174
- 6. Fidanova, S., O. Roeva, M. Paprzycki., P. Gepner. InterCriteria Analysis of ACO Start Startegies. – In: Proc. of 2016 Federated Conference on Computer Science and Information Systems, 2016, pp. 547-550.10.15439/2016F137
- 7. Fidanova, S., G. Luquq, O. Roeva, M. Paprzycki, P. Gepner. Ant Colony Opimization Algorithm for Workforce Planning. FedCSIS’2017, IEEE Xplorer, IEEE Catalog Number CFP1585N-ART, 2017, pp. 415-419.10.15439/2017F63
- 8. Fidanova S., G. Luque, O. Roeva, M. Paprzycki, P. Gepner. Hybrid Ant Colony Optimization Algorithm for Workforce Planning. – Annals of Computer Science and Information Systems, Vol. 15, 2018, pp. 233-236. ISSN: 2300-5963, DOI: http://dx.doi.org/10.15439/2018F47.10.15439/2018F47
- 9. Glover, F., G. Kochenberger, M. Laguna, T. Wubbena. Selection and Assignment of a Skilled Workforce to Meet Job Requirements in a Fixed Planning Period. – In: Proc. of MAEB’04, 2004, pp. 636-641.
- 10. Grzybowska, K., G. Kovács. Sustainable Supply Chain-Supporting Tools. – In: Proc. of 2014 Federated Conference on Computer Science and Information Systems, Vol. 2, 2014, pp. 1321-1329.10.15439/2014F75
- 11. Hewitt, M., A. Chacosky, S. Grasman, B. B. Thomas. Integer Programming Techniques for Solving Non-Linear Workforce Planning Models with Learning. – European J. of Operational Research, Vol. 242, 2015, No 3, 942-950.10.1016/j.ejor.2014.10.060
- 12. Hu, K., X. Zhang, M. Gen, J. Jo. A New Model for Single Machine Scheduling with Uncertain Processing Time. – J. Intelligent Manufacturing, Vol. 28, Springer, 2015, No 3, pp. 717-725.10.1007/s10845-015-1033-9
- 13. Li, G., H. Jiang, T. T. He. A Genetic Algorithm-Based Decomposition Approach to Solve An Integrated Equipment-Workforce-Service Planning Problem. – Omega, Vol. 50, Elsevier, 2015, pp. 1-17.10.1016/j.omega.2014.07.003
- 14. Li, R., G. Liu. An Uncertain Goal Programming Model for Machine Scheduling Problem. – J. Inteligent Manufacturing, Vol. 28, 2014, No 3, Springer, pp. 689-694.10.1007/s10845-014-0982-8
- 15. Ning, Y., J. Liu, L. Yan. Uncertain Aggregate Production Planning. – Soft Computing, Vol. 17, Springer, 2013, No 4, pp. 617-624.10.1007/s00500-012-0931-4
- 16. Othman, M., N. Bhuiyan, G. Gouw. Integrating Workers’ Differences into Workforce Planning. – Computers and Industrial Engineering, Vol. 63, 2012, No 4, pp. 1096-1106.10.1016/j.cie.2012.06.015
- 17. Parisio, A., C. N. Jones. A Two-Stage Stochastic Programming Approach to Employee Scheduling in Retail Outlets with Uncertain Demand. – Omega, Vol. 53, Elsevier, 2015, pp. 97-103.10.1016/j.omega.2015.01.003
- 18. Soukour, A., L. Devendeville, C. Lucet, A. Moukrim. A Memetic Algorithm for Staff Scheduling Problem in Airport Security Service. – Expert Systems with Applications, Vol. 40, 2013, No 18, pp. 7504-7512.10.1016/j.eswa.2013.06.073
- 19. Todorov, V., I. Dimov. Monte Carlo Methods for Multidimensional Integration for European Option Pricing. – In: Proc. of AIP Conference 1773, 2016. DOI: 10.1063/1.4965003.10.1063/1.4965003
- 20. Todorov, V., N. Ikonomov, S. Apostolov, I. Dimov, R. Georgieva, Y. Dimitrov. An Improved “Walk on Equations” Monte Carlo Algorithm for Linear Algebric Systems, Recent Advances in Computational Optimization. – Studies in Computational Intelligence, Vol. 838, Springer, 2020, pp. 215-236.10.1007/978-3-030-22723-4_14
- 21. Todorov, V., I. Dimov. Efficient Stochastic Approach for Multidimensional Integrals in Bayesian Statistics, Large Scale Scientific Computing. – Lecture Notes in Computer Science, Vol. 11958, Springer, 2020, pp. 454-462.10.1007/978-3-030-41032-2_52
- 22. Yang, G., W. Tang, R. Zhao. An Uncertain Workforce Planning Problem with Job Satisfaction. – Int. J. Machine Learning and Cybernetics, Springer, 2016. DOI:10.1007/s13042-016-0539-6.10.1007/s13042-016-0539-6
- 23. Zhou, C., W. Tang., R. Zhao. An Uncertain Search Model for Recruitment Problem with Enterprise Performance. – J. Intelligent Manufacturing, Vol. 28, Springer, 2014, No 3, pp. 295-704. DOI:10.1007/s10845-014-0997-1.10.1007/s10845-014-0997-1