[1] Wang, B. C., Qian, Q. Y., Gao, J. J., Tan, Z. Y., & Zhou, Y. (2021). The optimization of warehouse location and resources distribution for emergency rescue under uncertainty. Advanced Engineering Informatics, 48, 101278.
[2] Jahangiri, S., Abolghasemian, M., Pourghader Chobar, A., Nadaffard, A., Mottaghi, V. (2021). Ranking of key resources in the humanitarian supply chain in the emergency department of iranian hospital: a real case study in COVID-19 conditions. Journal of Applied Research on Industrial Engineering, 8(Special Issue), 1-10.
[3] CRED. (2019). Natural Disasters 2019. Tech. rep.
[4] Jahangiri, S., Abolghasemian, M., Ghasemi, P., & Chobar, A. P. (2023). Simulation-based optimisation: analysis of the emergency department resources under COVID-19 conditions. International journal of industrial and systems engineering, 43(1), 1-19.
[5] Chobar, A. P., Adibi, M. A., & Kazemi, A. (2022). Multi-objective hub-spoke network design of perishable tourism products using combination machine learning and meta-heuristic algorithms. Environment, Development and Sustainability, 1-28.
[6] Yofrido, F. M., & Harjana, L. T. (2019). Social-fairness perception in natural disaster, learn from Lombok: a phenomenological report. Indonesian Journal of Anesthesiology and Reanimation, 1(1), 1-7.
[7] Qin, W., Zhao, X., Ma, Y., Li, Y., Qin, L., Wang, Y., & Du, J. (2018). A multi-objective optimization based method for evaluating earthquake shelter location–allocation. Geomatics, Natural Hazards and Risk, 9(1), 662-677.
[8] Zheng, Y. J., Chen, S. Y., & Ling, H. F. (2015). Evolutionary optimization for disaster relief operations: A survey. Applied Soft Computing, 27, 553-566.
[9] Anaya-Arenas, A. M., Ruiz, A., & Renaud, J. (2018). Importance of fairness in humanitarian relief distribution. Production Planning & Control, 29(14), 1145-1157.
[10] Boonmee, C., Arimura, M., & Asada, T. (2017). Facility location optimization model for emergency humanitarian logistics. International Journal of Disaster Risk Reduction, 24, 485-498.
[11] Roh, S. Y., Shin, Y. R., & Seo, Y. J. (2018). The Pre-positioned warehouse location selection for international humanitarian relief logistics. The Asian Journal of Shipping and Logistics, 34(4), 297-307.
[12] Ozbay, E., Çavuş, Ö, & Kara, B. Y. (2019). Shelter site location under multi-hazard scenarios. Computers & Operations Research, 106, 102-118.
[13] Praneetpholkrang, P., & Huynh, V. N. (2020, February). Shelter Site Selection and Allocation Model for Efficient Response to Humanitarian Relief Logistics. In International Conference on Dynamics in Logistics (pp. 309-318). Springer, Cham.
[14] Kanoun, I., Chabchoub, H., & Aouni, B. (2010). Goal programming model for fire and emergency service facilities site selection. INFOR: Information Systems and Operational Research, 48(3), 143-153.
[15] Maharjan, R., & Hanaoka, S. (2020). A credibility-based multi-objective temporary logistics hub location-allocation model for relief supply and distribution under uncertainty. Socio-Economic Planning Sciences, 70, 100727.
[16] Ma, Y., Xu, W., Qin, L., Zhao, X., & Du, J. (2019). Hierarchical supplement location-allocation optimization for disaster supply warehouses in the Beijing–Tianjin–Hebei region of China. Geomatics, Natural Hazards and Risk, 10(1), 102-117.
[17] Motamedi, M., and Movahedi, M., and Rezaian, J., and Rashidi Komijani, A. (2019). Designing a Non-Linear Mixed Integer Two-objective Math Model to Maximize the Reliability of Blood Supply Chain. Engineering and Quality Management, 8 (4), 259-274, [In Persian].
[18] Mohammadi, S., Darestani, S. A., Vahdani, B., & Alinezhad, A. (2020). A robust neutrosophic fuzzy-based approach to integrate reliable facility location and routing decisions for disaster relief under fairness and aftershocks concerns. Computers & Industrial Engineering, 148, 106734.
[19] Miç, P., Koyuncu, M., & Hallak, J. (2020). Primary health care center (PHCC) location-allocation with multi-objective modelling: a case study in Idleb, Syria. International journal of environmental research and public health, 16(5), 811.
[20]Wu, G. H., Chang, C. K., & Hsu, L. M. (2020). Comparisons of interactive fuzzy programming approaches for closed-loop supply chain network design under uncertainty. Computers & Industrial Engineering, 125, 500-513.
[21] Aghajani, M., Torabi, S. A., & Heydari, J. (2020). A novel option contract integrated with supplier selection and inventory prepositioning for humanitarian relief supply chains. Socio-Economic Planning Sciences, 71, 100780.
[22] Maghfiroh, M. F., & Hanaoka, S. (2020). Multi-modal relief distribution model for disaster response operations. Progress in Disaster Science, 6, 100095.
[23] Mansoori, S., Bozorgi-Amiri, A., & Pishvaee, M. S. (2020). A robust multi-objective humanitarian relief chain network design for earthquake response, with evacuation assumption under uncertainties. Neural Computing and Applications, 32(7), 2183-2203.
[24] Sabouhi, F., Bozorgi-Amiri, A., & Vaez, P. (2020). Stochastic optimization for transportation planning in disaster relief under disruption and uncertainty. Kybernetes.
[25] Mamashli, Z., Bozorgi-Amiri, A., Dadashpour, I., Nayeri, S., & Heydari, J. (2021). A heuristic-based multi-choice goal programming for the stochastic sustainable-resilient routing-allocation problem in relief logistics. Neural Computing and Applications, 1-27.
[26] Rezaei Kallaj, M., Abolghasemian, M., Moradi Pirbalouti, S., Sabk Ara, M., & Pourghader Chobar, A. (2021). Vehicle Routing Problem in Relief Supply under a Crisis Condition considering Blood Types. Mathematical Problems in Engineering, 2021.
[27] Cao, C., Liu, Y., Tang, O., & Gao, X. (2021). A fuzzy bi-level optimization model for multi-period post-disaster relief distribution in sustainable humanitarian supply chains. International Journal of Production Economics, 235, 108081.
[28]Horner, M. W., Ozguven, E. E., Marcelin, J. M., & Kocatepe, A. (2021). Special needs hurricane shelters and the ageing population: development of a methodology and a case study application. Disasters, 42(1), 169-186.
[29] Shao-hong, Y., Jia-yang, N., Tai-long, C., Qiu-tong, L., Cen, Y., Jia-qing, C. & Jie, L. (2022). Location algorithm of transfer stations based on density peak and outlier detection. Applied Intelligence, 1-13.
[30] Peng, D., Ye, C., & Wan, M. (2022). A multi-objective improved novel discrete particle swarm optimization for emergency resource center location problem. Engineering Applications of Artificial Intelligence, 111, 104725.
[31] Poornaser, M., Amoozadkhalili, H., & Motamedi, M. (2022). Routing disaster relief vehicles in a humanitarian supply chain. Disaster Prevention and Management Knowledge (quarterly), 12(2), 205-216.
[32] Pirouz, B., & Khorram, E. (2016). A computational approach based on the ε-constraint method in multi-objective optimization problems. Adv. Appl. Stat, 49, 453.
[33]Abolghasemian, M., Kanai, A. G., & Daneshmandmehr, M. (2020). A two-phase simulation-based optimization of hauling system in open-pit mine. Iranian journal of management studies, 13(4), 705-732.
[34] Modarresi, S. A., & Maleki, M. R. (2023). Integrating pre and post-disaster activities for designing an equitable humanitarian relief supply chain. Computers & Industrial Engineering, 181, 109342.
[35] Jafarzadeh-Ghoushchi, S., Asghari, M., Mardani, A., Simic, V., & Tirkolaee, E. B. (2023). Designing an efficient humanitarian supply chain network during an emergency: A scenario-based multi-objective model. Socio-Economic Planning Sciences, 90, 101716.
[36] Eligüzel, İ. M., Özceylan, E., & Weber, G. W. (2023). Location-allocation analysis of humanitarian distribution plans: a case of United Nations Humanitarian Response Depots. Annals of Operations Research, 324(1-2), 825-854.
[37] Narimani R, Motamedi M, Amoozad khalili H. (2023). Applying a Mathematical Model for the Distribution of Earthquake Relief Items to the Affected Areas of Tehran. Disaster Prevention and Management Knowledge. 13(2), 184-203.
[38] Goudarzi, H. M., Lim, G., Grosshans, D., Mohan, R., & Cao, W. (2024). Incorporating variable RBE in IMPT optimization for ependymoma. Journal of applied clinical medical physics, 25(1), e14207.
[39] Abolghasemian, M., Pourghader Chobar, A., AliBakhshi, M., Fakhr, A., & Moradi Pirbalouti, S. (2021). Delay scheduling based on discrete-event simulation for construction projects. Iranian Journal of Operations Research, 12(1), 49-63.