A stochastic bi-objective simulation–optimization model for cascade disaster location-allocation-distribution problems

K. Khalili-Damghani, M. Tavana, P. Ghasemi, Annals of Operations Research 309 (2022) 103–141.

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Journal Article | Published | English
Author
Khalili-Damghani, Kaveh; Tavana, MadjidLibreCat; Ghasemi, Peiman
Publishing Year
Journal Title
Annals of Operations Research
Volume
309
Issue
1
Page
103-141
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Khalili-Damghani K, Tavana M, Ghasemi P. A stochastic bi-objective simulation–optimization model for cascade disaster location-allocation-distribution problems. Annals of Operations Research. 2022;309(1):103-141. doi:10.1007/s10479-021-04191-0
Khalili-Damghani, K., Tavana, M., & Ghasemi, P. (2022). A stochastic bi-objective simulation–optimization model for cascade disaster location-allocation-distribution problems. Annals of Operations Research, 309(1), 103–141. https://doi.org/10.1007/s10479-021-04191-0
@article{Khalili-Damghani_Tavana_Ghasemi_2022, title={A stochastic bi-objective simulation–optimization model for cascade disaster location-allocation-distribution problems}, volume={309}, DOI={10.1007/s10479-021-04191-0}, number={1}, journal={Annals of Operations Research}, publisher={Springer Science and Business Media LLC}, author={Khalili-Damghani, Kaveh and Tavana, Madjid and Ghasemi, Peiman}, year={2022}, pages={103–141} }
Khalili-Damghani, Kaveh, Madjid Tavana, and Peiman Ghasemi. “A Stochastic Bi-Objective Simulation–Optimization Model for Cascade Disaster Location-Allocation-Distribution Problems.” Annals of Operations Research 309, no. 1 (2022): 103–41. https://doi.org/10.1007/s10479-021-04191-0.
K. Khalili-Damghani, M. Tavana, and P. Ghasemi, “A stochastic bi-objective simulation–optimization model for cascade disaster location-allocation-distribution problems,” Annals of Operations Research, vol. 309, no. 1, pp. 103–141, 2022, doi: 10.1007/s10479-021-04191-0.
Khalili-Damghani, Kaveh, et al. “A Stochastic Bi-Objective Simulation–Optimization Model for Cascade Disaster Location-Allocation-Distribution Problems.” Annals of Operations Research, vol. 309, no. 1, Springer Science and Business Media LLC, 2022, pp. 103–41, doi:10.1007/s10479-021-04191-0.

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