Open Access
Issue |
ITM Web Conf.
Volume 77, 2025
2025 International Conference on Education, Management and Information Technology (EMIT 2025)
|
|
---|---|---|
Article Number | 01016 | |
Number of page(s) | 10 | |
DOI | https://doi.org/10.1051/itmconf/20257701016 | |
Published online | 02 July 2025 |
- X. Yang. Research on Improving the Quality Control Capability of Power Grid Materials [J]. Smart City, 5, 103–104(2019) [Google Scholar]
- J. Xin. Research on Job Shop Scheduling Problem under AGV Constraints [D]. Anhui University of Engineering (2021) [Google Scholar]
- S. Ding, B. Li, H. Shi. Research on FJSP based on improved discrete PSO algorithm [J]. Computer Science, 45, 233–239(2018) [Google Scholar]
- H. Tang, R. Chen, Y. Li, et al. Flexible job shop scheduling with tolled time interval and limited starting time interval based on hybrid discrete PSO-SA: An application from a casting workshop [J]. Appl. Soft Comput., 78, 176–194(2019) [CrossRef] [Google Scholar]
- Z. Jia, J. Zhu, H. Chen. Dynamic Tabu Particle Swarm Optimization Algorithm for Flexible Job Shop Scheduling [J]. JSCUT, 40, 69–76(2012) [Google Scholar]
- L. Wang. Workshop scheduling and its genetic algorithm [M].(Tsinghua University Press, Ling Wang, 2003) [Google Scholar]
- X. Huang, S. Chen, T. Zhou, Y. Sun. A review of genetic algorithms for solving flexible job shop scheduling [J]. CIMS, 28, 536–551(2022) [Google Scholar]
- Y. Xu, C. Ye, L. Ca. Research on Optimization of Flexible Workshop Scheduling with AGV [J] Computer Application Research, 35, 3271–3275 (2018) [Google Scholar]
- G. Zhang. Research on Flexible Job Shop Scheduling Method [D]. Huazhong University of Science and Technology(2009) [Google Scholar]
- G. Zhang, L.Gao, P. Li, C. Zhang. Improved genetic algorithm for solving flexible job shop scheduling problems [J]. Journal of Mechanical Engineering, 45, 145–151(2009) [Google Scholar]
- S. Can, H. Xiong. Improved Genetic Algorithm for Solving Flexible Job Shop Scheduling Problem [J]. Computer Simulation, 39, 221–225+292(2022) [Google Scholar]
- F. Yang, H. Liu. Research on AGV Job Scheduling Model and Improved DE Algorithm [J]. Computer Engineering and Applications, 50, 225–230(2014) [Google Scholar]
- C. Zhang, Y. Rao, X. Liu, P. Li. Genetic algorithm based on POX crossover for solving Job Shop scheduling problem [J]. China Mechanical Engineering, 2004 (23): 83–87 [CrossRef] [Google Scholar]
- S. Liao, S. Zhai, Y. Lu. Research on Flexible Job Shop Scheduling Method Based on Improved Genetic Algorithm [J]. Mechanical and Electrical Engineering, 31, 729–733(2014) [Google Scholar]
- Y. Li, Q. Lin. Research on Improved Genetic Algorithm for Solving Flexible Job Shop Scheduling Problems [J]. Mechanical Manufacturing, 49, 62–65(2011) [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.