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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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Alvarez-Miranda, E., Campos-Valdes, C., Quiroga, M. M., Moreno-Faguett, M., & Pereira, J. (2020). A Multi-Criteria Pen for Drawing Fair Districts: When Democratic and Demographic Fairness Matter. Mathematics, 8(9), 27 pp.
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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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Barrera, J., Moreno, E., & Munoz, G. (2022). Convex envelopes for ray-concave functions. Optim. Let., to appear.
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Barrera, J., Moreno, E., Munoz, G., & Romero, P. (2022). Exact reliability optimization for series-parallel graphs using convex envelopes. Networks, to appear.
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Beck, A. T., Ribeiro, L. D., Valdebenito, M., & Jensen, H. (2022). Risk-Based Design of Regular Plane Frames Subject to Damage by Abnormal Events: A Conceptual Study.148(1), 04021229.
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Canessa, G., Moreno, E., & Pagnoncelli, B. K. (2021). The risk-averse ultimate pit problem. Optim. Eng., 22, 2655–2678.
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Cho, A. D., Carrasco, R. A., & Ruz, G. A. (2022). Improving Prescriptive Maintenance by Incorporating Post-Prognostic Information Through Chance Constraints. IEEE Access, 10, 55924–55932.
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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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Dang, C., Wei, P. F., Faes, M. G. R., Valdebenito, M. A., & Beer, M. (2022). Interval uncertainty propagation by a parallel Bayesian global optimization method. Appl. Math. Model., 108, 220–235.
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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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Homem-de-Mello, T., Kong, Q. X., & Godoy-Barba, R. (2022). A Simulation Optimization Approach for the Appointment Scheduling Problem with Decision-Dependent Uncertainties. INFORMS J. Comput., Early Access.
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Inzunza, A., Munoz, F. D., & Moreno, R. (2021). Measuring the effects of environmental policies on electricity markets risk. Energy Econ., 102, 105470.
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Kalahasthi, L., Holguin-Veras, J., & Yushimito, W. F. (2022). A freight origin-destination synthesis model with mode choice. Transp. Res. E-Logist. Transp. Rev., 157, 102595.
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Lagos, T., Armstrong, M., Homem-de-Mello, T., Lagos, G., & Saure, D. (2021). A framework for adaptive open-pit mining planning under geological uncertainty. Optim. Eng., 72, 102086.
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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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