Open Access
| Issue |
BIO Web Conf.
Volume 97, 2024
Fifth International Scientific Conference of Alkafeel University (ISCKU 2024)
|
|
|---|---|---|
| Article Number | 00060 | |
| Number of page(s) | 7 | |
| DOI | https://doi.org/10.1051/bioconf/20249700060 | |
| Published online | 05 April 2024 | |
- Akyol, D. E., & Bayhan, G. M. (2007). A review on evolution of production scheduling with neural networks. Computers & Industrial Engineering, 53(1), 95–122. [CrossRef] [Google Scholar]
- Gonçalves, J. F., de Magalhães Mendes, J. J., & Resende, M. G. (2005). A hybrid genetic algorithm for the job shop scheduling problem. European journal of operational research, 167(1), 77–95. [CrossRef] [Google Scholar]
- Xie, J., Gao, L., Peng, K., Li, X., & Li, H. (2019). Review on flexible job shop scheduling. IET collaborative intelligent manufacturing, 1(3), 67–77. [CrossRef] [Google Scholar]
- Khanduja, N., & Bhushan, B. (2021). Recent advances and application of metaheuristic algorithms: A survey (2014-2020). Metaheuristic and evolutionary computation: algorithms and applications, 207–228. [Google Scholar]
- Yan, S., Zhang, G., Sun, J., & Zhang, W. (2023). An improved ant colony optimization for solving the flexible job shop scheduling problem with multiple time constraints. Mathematical biosciences and engineering: MBE, 20(4), pp. 7519–7547 [CrossRef] [Google Scholar]
- Dorigo, M. (1996). The Any System Optimization by a colony of cooperating agents. IEEE Trans. System, Man & Cybernetics-Part B, 26(1), 1–13. [Google Scholar]
- Wang, L.; Zhu, Q. A Hybrid Genetic Algorithm for Flexible Job Shop Scheduling Problem with SequenceDependent Setup Times and Job Lag Times. IEEE Access 2021, 9, 104864–104873 [CrossRef] [Google Scholar]
- Liu, J.; Sui, Z.; Li, X.; Yang, J. A Bayesian-grouping based hybrid distributed cooperative evolutionary optimization for large-scale flexible job-shop scheduling problem. IEEE Access 2021, 9, 69114–69126. [CrossRef] [Google Scholar]
- Wu, J.; Wu, G.; Wang, J. Flexible job-shop scheduling problem based on hybrid aco algorithm. Int. J. Simul. Model. 2017, 16, 497–505. [CrossRef] [Google Scholar]
- Long, X., Zhang, J., Zhou, K., & Jin, T. (2022). Dynamic self-learning artificial bee colony optimization algorithm for flexible job-shop scheduling problem with job insertion. Processes, 10 (3), 571. [CrossRef] [Google Scholar]
- Jiang, T., & Zhang, C. (2018). Application of grey wolf optimization for solving combinatorial problems: Job shop and flexible job shop scheduling cases. Ieee Access, 6, 26231–26240. [CrossRef] [Google Scholar]
- Qian, W. A. N. G., Zhiqiang, X. I. E., Yilong, G. A. O., Jiayu, W. A. N. G., & Xu, Y. U. (2020). Application of flexible job shop scheduling under multi-factor optimization-ant colony hybrid algorithm. Academic Journal of Manufacturing Engineering, 18(3). [Google Scholar]
- Matrenin, P. V. (2022). Improvement of Ant Colony Algorithm Performance for the Job-Shop Scheduling Problem Using Evolutionary Adaptation and Software Realization Heuristics. Algorithms, 16 (1), 15. [CrossRef] [Google Scholar]
- Torres-Tapia, W., Montoya-Torres, J. R., Ruiz-Meza, J., & Belmokhtar-Berraf, S. (2022). A matheuristic based on ant colony system for the combined flexible jobshop scheduling and vehicle routing problem. IFAC-PapersOnLine, 55(10), 1613–1618. [CrossRef] [Google Scholar]
- Stanković, A., Petrović, G., Ćojbašić, Ž., & Marković, D. (2020). An application of metaheuristic optimization algorithms for solving the flexible job-shop scheduling problem. Operational Research in Engineering Sciences: Theory and Applications, 3(3), 13–28. [CrossRef] [Google Scholar]
- Yan, S., Zhang, G., Sun, J., & Zhang, W. (2023). An improved ant colony optimization for solving the flexible job shop scheduling problem with multiple time constraints. Mathematical biosciences and engineering: MBE, 20(4), pp. 7519–7547 [CrossRef] [Google Scholar]
- Xie, J., Gao, L., Peng, K., Li, X., & Li, H. (2019). Review on flexible job shop scheduling. IET collaborative intelligent manufacturing, 1(3), 67–77. [CrossRef] [Google Scholar]
- M. Mastrolilli. Flexible Job Shop Problem. http://www.idsia.ch/~monaldo/fjsp.html [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.