Multi-objective Scheduling Optimization in Job Shop with Unrelated Parallel Machines Using NSGA-III
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-65223-3_25
Reference21 articles.
1. Abdelmaguid, T.F.: Representations in genetic algorithm for the job shop scheduling problem: a computational study. J. Softw. Eng. Appl. 3(12), 1155 (2010)
2. Antunes, A.R., Matos, M.A., Rocha, A.M.A., Costa, L.A., Varela, L.R.: A statistical comparison of metaheuristics for unrelated parallel machine scheduling problems with setup times. Mathematics 10(14), 2431 (2022)
3. Arnaout, J.P., Musa, R., Rabadi, G.: A two-stage Ant Colony optimization algorithm to minimize the makespan on unrelated parallel machines-Part II: enhancements and experimentations. J. Intell. Manuf. 25, 43–53 (2014)
4. Arnaout, J.P., Rabadi, G., Musa, R.: A two-stage ant colony optimization algorithm to minimize the makespan on unrelated parallel machines with sequence-dependent setup times. J. Intell. Manuf. 21, 693–701 (2010)
5. Blank, J., Deb, K.: Pymoo: multi-objective optimization in python. IEEE Access 8, 89497–89509 (2020)
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