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Simorgh, A. (author), Soler, Manuel (author), Castino, F. (author), Yin, F. (author), Cerezo Magana, M. (author)The spatiotemporal dependency of aviation-induced non-CO<sub>2</sub> climate effects can be incorporated into flight planning tools to generate climate-friendly flight plans. However, estimating climate impact is challenging and associated with high uncertainty. To ensure the effectiveness of such an operational measure, sources that induce...journal article 2024
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Simorgh, A. (author), Soler, Manuel (author), Dietmüller, Simone (author), Matthes, Sigrun (author), Yamashita, Hiroshi (author), Castino, F. (author), Yin, F. (author)The non-CO<sub>2</sub> climate impact of aviation strongly relies on the atmospheric conditions at the time and location of emissions. Therefore, it is possible to mitigate their associated climate impact by planning trajectories to re-route airspace areas with significant climate effects. Identifying such climate-sensitive regions requires...journal article 2024
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Fransen, M.P. (author), Langelaar, Matthijs (author), Schott, D.L. (author)In design optimization of bulk handling equipment (BHE) we generally focus on the mean performance of the equipment. However, granular materials behave stochastic due to irregularities in particle shape and size which leads to stochastic performance of the equipment. To include the stochastic performance we propose robust metamodel-based...journal article 2023
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Nguyen, Viet Anh (author), Shafieezadeh-Abadeh, Soroosh (author), Kuhn, Daniel (author), Mohajerin Esfahani, P. (author)We introduce a distributionally robust minimium mean square error estimation model with a Wasserstein ambiguity set to recover an unknown signal from a noisy observation. The proposed model can be viewed as a zero-sum game between a statistician choosing an estimator—that is, a measurable function of the observation—and a fictitious adversary...journal article 2023
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Robust design of CAV-Dedicated lanes considering CAV demand uncertainty and lane reallocation policySeilabi, Sania E. (author), Pourgholamali, Mohammadhosein (author), Correia, Gonçalo (author), Labi, Samuel (author)Reduced headways of connected and automated vehicles (CAV) provide opportunities to address traffic congestion and environmental adversities. This benefit can be utilized by deploying CAV-dedicated lanes (CAVDL). This paper presents a bi-level optimization model that captures CAV market size uncertainty. The upper level determines the links ...journal article 2023
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Xia, D. (author), Ma, Jihui (author), Sharif Azadeh, S. (author), Zhang, Wenyi (author)The collaborative design of the timetable and dynamic-capacity allocation plan of emerging modular vehicles (MVs) is a promising solution to the mismatch between supply and demand in public transportation studies; however, such efforts are subject to high-level dynamics and uncertainty inherent in operating environments. In this study, we...journal article 2023
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Pourmohammadzia, N. (author), Schulte, F. (author), González-Ramírez, Rosa G. (author), Voß, Stefan (author), Negenborn, R.R. (author)Modern ports face significant challenges as strategic nodes of global supply chains, being responsible for the coordination of inbound and outbound flows at deep-sea and in hinterland transport corridors. Digitization and the adoption of disruptive technologies can help ports to tide over operational challenges. Automated Ground Vehicles ...journal article 2023
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Li, Y. (author), Yorke-Smith, N. (author), Keviczky, T. (author)The efficacy of robust optimal control with adjustable uncertainty sets is verified in several domains under the perfect state information setting. This paper investigates constrained robust optimal control for linear systems with linear cost functions subject to uncertain disturbances and state measurement errors that are both residing in...journal article 2023
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Nazari-Shirkouhi, Salman (author), Miralizadeh Jalalat, Sepideh (author), Sangari, Mohamad Sadegh (author), Sepehri, A. (author), Rezaei Vandchali, Hadi (author)Attaining sustainability objectives has received wide attention in the supplier selection and order allocation (SSOA) literature. This paper aims to investigate an SSOA problem under multiple items, multiple suppliers, multiple price levels, and multiple period using a robust-fuzzy multi-objective programming in which: (a) transportation cost,...journal article 2023
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Cohen, Izack (author), Postek, K.S. (author), Shtern, Shimrit (author)Real-life parallel machine scheduling problems can be characterized by: (i) limited information about the exact task duration at the scheduling time, and (ii) an opportunity to reschedule the remaining tasks each time a task processing is completed and a machine becomes idle. Robust optimization is the natural methodology to cope with the first...journal article 2022
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Soghrati Ghasbeh, Sogand (author), Pourmohammadzia, N. (author), Rabbani, Masoud (author)Purpose: This paper aims to address a location-distribution-routing problem for distributing relief commodities during a disaster under uncertainty by creating a multi-stage model that can consider information updates during the disaster. This model aims to create a relief network that chooses distribution centers with the highest value while...journal article 2022
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Carli, Raffaele (author), Cavone, Graziana (author), Pippia, T.M. (author), De Schutter, B.H.K. (author), Dotoli, Mariagrazia (author)This paper focuses on the control of microgrids where both gas and electricity are provided to the final customer, i.e., multi-carrier microgrids. Hence, these microgrids include thermal and electrical loads, renewable energy sources, energy storage systems, heat pumps, and combined heat and power units. The parameters characterizing the...journal article 2022
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Nguyen, Viet Anh (author), Kuhn, Daniel (author), Mohajerin Esfahani, P. (author)We introduce a distributionally robust maximum likelihood estimation model with a Wasserstein ambiguity set to infer the inverse covariance matrix of a p-dimensional Gaussian random vector from n independent samples. The proposed model minimizes the worst case (maximum) of Stein’s loss across all normal reference distributions within a...journal article 2022
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Pastor Serrano, O. (author), Habraken, S.J.M. (author), Lathouwers, D. (author), Hoogeman, M.S. (author), Schaart, D.R. (author), Perko, Z. (author)Breathing interplay effects in Intensity Modulated Proton Therapy (IMPT) arise from the interaction between target motion and the scanning beam. Assessing the detrimental effect of interplay and the clinical robustness of several mitigation techniques requires statistical evaluation procedures that take into account the variability of...journal article 2021
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L’Ortye, J. (author), Mitici, M.A. (author), Visser, H.G. (author)At the interface between airport airside and landside operations, the assignment of flights to gates is key to ensure efficient operations and a high quality of service for passengers. We propose a mixed-integer linear program for an integrated flight-to-gate assignment that considers both airside as well as landside constraints on the...journal article 2021
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van der Weide, Tim (author), Deng, Q. (author), Santos, Bruno F. (author)Long-term heavy maintenance check schedules are crucial in the aviation industry since airlines need them to prepare the required maintenance tools, workforce, and aircraft spare parts. However, most airlines adopt a manual approach to plan the heavy maintenance check schedules in current practice. This manual process relies on the experience of...journal article 2021
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van Parys, Bart P.G. (author), Mohajerin Esfahani, P. (author), Kuhn, Daniel (author)We study stochastic programs where the decision maker cannot observe the distribution of the exogenous uncertainties but has access to a finite set of independent samples from this distribution. In this setting, the goal is to find a procedure that transforms the data to an estimate of the expected cost function under the unknown data...journal article 2021
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Marquez Calvo, O.O. (author)The exercise of solving engineering problems that require optimisation procedures can be seriously affected by uncertain variables, resulting in potential underperforming solutions. Although this is a well-known problem, important knowledge gaps are still to be addressed. For example, concepts of robustness largely differ from study to study,...doctoral thesis 2020
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Ramaswamy, K. R. (author), Fonseca, R. M. (author), Leeuwenburgh, O. (author), Siraj, M.M. (author), Van den Hof, P.M.J. (author)We are concerned with the efficiency of stochastic gradient estimation methods for large-scale nonlinear optimization in the presence of uncertainty. These methods aim to estimate an approximate gradient from a limited number of random input vector samples and corresponding objective function values. Ensemble methods usually employ Gaussian...journal article 2020
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Pan, K. (author), Palensky, P. (author), Mohajerin Esfahani, P. (author)Developing advanced diagnosis tools to detect cyber attacks is the key to security of power systems. It has been shown that multivariate data injection attacks can bypass bad data detection schemes typically built on static behavior of the systems, which misleads operators to disruptive decisions. In this article, we depart from the existing...journal article 2020