An application of artificial intelligence for solving multi-visit scheduling and routing of multi-heterogeneous resources
Author:
Funder
The Research and Graduate Studies, Khon Kaen University, Thailand
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10479-024-05836-6.pdf
Reference73 articles.
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2. Aliano Filho, A., Cantane, D. R., Isler, P. R., & Oliveira Florentino, H. D. (2023). An integrated multi-objective mathematical model for sugarcane harvesting considering cumulative degree-days. Expert Systems with Applications, 232, 120881. https://doi.org/10.1016/j.eswa.2023.120881
3. Allaoua, H., Borne, S., Létocart, L., & Calvo, R. W. (2013). A matheuristic approach for solving a home health care problem. Electronic Notes in Discrete Mathematics, 41, 471–478. https://doi.org/10.1016/j.endm.2013.05.127
4. Astika, I. W., Sasao, A., Shibusawa, S., Sakai, K., & Machida, T. (1998). Stochastic scheduling for mechanical sugarcane harvesting. IFAC Proceedings Volumes, 31(5), 31–35. https://doi.org/10.1016/S1474-6670(17)42093-3
5. Bertazzi, L., Coelho, L. C., De Maio, A., & Laganà, D. (2019). A matheuristic algorithm for the multi-depot inventory routing problem. Transportation Research Part e: Logistics and Transportation Review, 122, 524–544. https://doi.org/10.1016/j.tre.2019.01.005
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