Effectiveness of Genetic Algorithm in the Solution of Multidisciplinary Conference Scheduling Problem
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-79357-9_22
Reference20 articles.
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3. Zanda, S., Zuddas, P., Seatzu, C.: Long term nurse scheduling via a decision support system based on linear integer programming: a case study at the University Hospital in Cagliari. Comput. Ind. Eng. 126, 337–347 (2018)
4. Wang, Y.Z.: Using genetic algorithm methods to solve course scheduling problems. Expert Syst. Appl. 25(1), 39–50 (2003)
5. Hossain, S.I., Akhand, M.A.H., Shuvo, M.I.R., Siddique, N., Adeli, H.: Optimization of university course scheduling problem using particle swarm optimization with selective search. Expert Syst. Appl. 127, 9–24 (2019)
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