Probability Learning Based Multi-objective Evolutionary Algorithm for Distributed No-Wait Flow-Shop and Vehicle Transportation Integrated Optimization Problem
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-4755-3_14
Reference17 articles.
1. Cheng, C., Ying, K., Li, S., Hsieh, Y.: Minimizing makespan in mixed no-wait flowshops with sequence-dependent setup times. Comput. Ind. Eng. 130, 338–347 (2019)
2. Asefi, H., Jolai, F., Rabiee, M., Tayebi Araghi, M.E.: A hybrid NSGA-II and VNS for solving a bi-objective no-wait flexible flow-shop scheduling problem. Int. J. Adv. Manufact. Technol. 75(5–8), 1017–1033 (2014). https://doi.org/10.1007/s00170-014-6177-9
3. Ying, K., Lin, S.: Minimizing makespan for no-wait flowshop scheduling problems with setup times. Comput. Ind. Eng. 121, 73–81 (2018)
4. Zhu, N., Zhao, F., Wang, L., Ding, R., Xu, T.: A discrete learning fruit fly algorithm based on knowledge for the distributed no-wait flow shop scheduling with due windows. Expert. Syst. Appl. 198, 116921 (2022)
5. Zhao, F., Zhao, J., Wang, L., Tang, J.: An optimal block knowledge driven backtracking search algorithm for distributed assembly no-wait flow shop scheduling problem. Appl. Soft. Comput. 112, 107750 (2021)
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