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Alvarez-Miranda, E., & Pereira, J. (2017). Designing and constructing networks under uncertainty in the construction stage: Definition and exact algorithmic approach. Comput. Oper. Res., 81, 178–191.
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Averbakh, I., & Pereira, J. (2018). Lateness Minimization in Pairwise Connectivity Restoration Problems. INFORMS J. Comput., 30(3), 522–538.
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Canessa, G., Moreno, E., & Pagnoncelli, B. K. (2020). The risk-averse ultimate pit problem. Optim. Eng., to appear, 24 pp.
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Contreras, M., Pellicer, R., & Villena, M. (2017). Dynamic optimization and its relation to classical and quantum constrained systems. Physica A, 479, 12–25.
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Guevara, E., Babonneau, F., Homem-de-Mello, T., & Moret, S. (2020). A machine learning and distributionally robust optimization framework for strategic energy planning under uncertainty. Appl. Energy, 271, 18 pp.
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Henriquez, P. A., & Ruz, G. A. (2019). Noise reduction for near-infrared spectroscopy data using extreme learning machines. Eng. Appl. Artif. Intell., 79, 13–22.
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Ljubic, I., & Moreno, E. (2018). Outer approximation and submodular cuts for maximum capture facility location problems with random utilities. Eur. J. Oper. Res., 266(1), 46–56.
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Matus, O., Barrera, J., Moreno, E., & Rubino, G. (2019). On the Marshall-Olkin Copula Model for Network Reliability Under Dependent Failures. IEEE Trans. Reliab., 68(2), 451–461.
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Mejia, G., & Pereira, J. (2020). Multiobjective scheduling algorithm for flexible manufacturing systems with Petri nets. J. Manuf. Syst., 54, 272–284.
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Munoz, G., Espinoza, D., Goycoolea, M., Moreno, E., Queyranne, M., & Rivera Letelier, O. (2018). A study of the Bienstock-Zuckerberg algorithm: applications in mining and resource constrained project scheduling. Comput. Optim. Appl., 69(2), 501–534.
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Ozdemir, O., Munoz, F. D., Ho, J. L., & Hobbs, B. F. (2016). Economic Analysis of Transmission Expansion Planning With Price-Responsive Demand and Quadratic Losses by Successive LP. IEEE Trans. Power Syst., 31(2), 1096–1107.
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Pereira, J. (2016). The robust (minmax regret) single machine scheduling with interval processing times and total weighted completion time objective. Comput. Oper. Res., 66, 141–152.
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Pereira, J. (2018). The robust (minmax regret) assembly line worker assignment and balancing problem. Comput. Oper. Res., 93, 27–40.
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Pereira, J., & Alvarez-Miranda, E. (2018). An exact approach for the robust assembly line balancing problem. Omega-Int. J. Manage. Sci., 78, 85–98.
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Reus, L., & Fabozzi, F. J. Robust Solutions to the Life-Cycle Consumption Problem. Comput. Econ., , 19 pp.
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Reus, L., & Mulvey, J. M. (2016). Dynamic allocations for currency futures under switching regimes signals. Eur. J. Oper. Res., 253(1), 85–93.
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Reus, L., Munoz, F. D., & Moreno, R. (2018). Retail consumers and risk in centralized energy auctions for indexed long-term contracts in Chile. Energy Policy, 114, 566–577.
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Rojas, F., & Leiva, V. (2016). Inventory management in food companies with statistically dependent demand. Acad.-Rev. Latinoam. Adm., 29(4), 450–485.
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Silva-Oelker, G., Jerez-Hanckes, C., & Fay, R. (2019). High-temperature tungsten-hafnia optimized selective thermal emitters for thermophotovoltaic applications. J. Quant. Spectrosc. Radiat. Transf., 231, 61–68.
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Yushimito, W. F., Ban, X. G., & Holguin-Veras, J. (2014). A Two-Stage Optimization Model for Staggered Work Hours. J. Intell. Transport. Syst., 18(4), 410–425.
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