Author:
Mou Jianhui,Li Xinyu,Gao Liang,Yi Wenchao
Funder
the National Science Foundation of China (NSFC)
Independent Innovation Finance HUST support plan
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Industrial and Manufacturing Engineering,Software
Reference54 articles.
1. Arroyo, J. E. C., & Armentano, V. A. (2005). Genetic local search for multi-objective flow-shop scheduling problems. European Journal of Operational Research, 167(3), 717–738.
2. Billaut, J. C., Moukrim, A., & Sanlaville, E. (Eds.). (2013). Flexibility and robustness in scheduling. New York: Wiley.
3. Brucker, P., & Shakhlevich, N. V. (2009). Inverse scheduling with maximum lateness objective. Journal of Scheduling, 12(5), 475–488.
4. Brucker, P., & Shakhlevich, N. V. (2011). Inverse scheduling: Two-machine flow-shop problem. Journal of Scheduling, 14(3), 239–256.
5. Bagchi, T. P. (2001). Pareto-optimal solutions for multi-objective production scheduling problems. In Evolutionary multi-criterion optimization (pp. 458–471). Berlin: Springer.
Cited by
14 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献