Apply Ordinal Optimization to Optimize the Job-Shop Scheduling Under Uncertain Processing Times
Author:
Funder
ministry of science and technology, taiwan
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
https://link.springer.com/content/pdf/10.1007/s13369-021-06317-9.pdf
Reference37 articles.
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2. Gao, K.Z.; Cao, Z.G.; Chang, L.; Chen, Z.H.; Han, Y.Y.; Pan, Q.K.: A review on swarm intelligence and evolutionary algorithms for solving flexible job shop scheduling problems. IEEE-CAA J. Automatic. 6(4), 904–916 (2019)
3. Baykasoglu, A.; Madenoglu, F.S.; Hamzadayi, A.: Greedy randomized adaptive search for dynamic flexible job-shop scheduling. J. Manuf. Syst. 56, 425–451 (2020)
4. Sun, L.; Lin, L.; Li, H.J.; Gen, M.S.: Cooperative co-evolution algorithm with an MRF-based decomposition strategy for stochastic flexible job shop scheduling. Mathematics 7(4), 318 (2019)
5. Haddadzade, M.; Razfar, M.R.; Zarandi, M.H.F.: Integration of process planning and job shop scheduling with stochastic processing time. Int. J. Adv. Manuf. Tech. 71, 241–252 (2014)
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