Robust Covariance Matrix Adaptation Evolution Strategy: Optimal Design of Magnetic Devices Considering Material Variation by Akito Maruo, Hajime Igarashi

“…However, naive robust optimization requires iterative calculations to compute the expected values, which need a huge computational burden. …”
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Optimal routes for electric vehicles facing uncertainty, congestion, and energy constraints by Fontana, Matthew William

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Stable regression: On the power of optimization over randomization in training regression problems by Bertsimas, D, Paskov, I

“…We further compare the robust optimization approach to cross validation and find that optimization continues to have a performance edge albeit smaller. …”
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Stable regression: On the power of optimization over randomization in training regression problems by Bertsimas, Dimitris J, Paskov, Ivan

“…We further compare the robust optimization approach to cross validation and find that optimization continues to have a performance edge albeit smaller. …”
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Adaptable optimization : theory and algorithms by Caramanis, Constantine (Constantine Michael), 1977-

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Distributionally robust multi-item newsvendor problem with covariate information by Lee, Jonathan Heng Yow

“…This dissertation investigates robust optimization for use in demand forecasting. Techniques of robust optimization such as construction of ambiguity set, robust counterpart and affine recourse approximation are carefully studied. …”
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Decision‐dependent distributionally robust integrated generation, transmission, and storage expansion planning: An enhanced Benders decomposition approach by Lu Qiu, Yangqing Dan, Xukun Li, Ye Cao

“…Compared with adjustable robust optimization and L1‐norm Wasserstein distance‐based distributionally robust optimization, numerical results verify the effectiveness of the proposed IGT&SP, together with the solution algorithm.…”
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Random clustering analysis in deterministic DG-based distribution planning by Younes Gharedaghi, Javad Olamaei, Sajad Najafi Ravadanegh

“…The results of this research can be used in the field of robust optimization of distribution networks at the MV networks. …”
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Optimizing over coherent risk measures and non-convexities: a robust mixed integer optimization approach by Takeda, Akiko, Bertsimas, Dimitris J.

“…Recently, coherent risk measure minimization was formulated as robust optimization and the correspondence between coherent risk measures and uncertainty sets of robust optimization was investigated. …”
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Multifidelity optimization under uncertainty for a tailless aircraft by Jasa, John, Martins, Joaquim R. R. A., Chaudhuri, Anirban, Willcox, Karen E

“…In this work, the effectiveness of the method is demonstrated for the robust optimization of a tailless aircraft that is based on the Boeing Insitu ScanEagle. …”
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Robust sample average approximation by Gupta, Vishal, Kallus, Nathan, Bertsimas, Dimitris J

“…The key to our method is linking SAA, distributionally robust optimization, and hypothesis testing of goodness-of-fit. …”
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Stochastic optimization in supply chain networks: averaging robust solutions by Bertsimas, Dimitris, Youssef, Nataly

“…Abstract We propose a novel robust optimization approach to analyze and optimize the expected performance of supply chain networks. …”
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Early-Stage Uncertainty: Effects of Robust Convex Optimization on Design Exploration by Pillai, Priya P, Burnell, Edward, Wang, Xiqing, Yang, Maria C

“…Specifically, the Pareto frontier of a typical participant using robust optimization left less performance "on the table" across various levels of risk than the very best frontiers of participants using industry-standard practices.…”
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Effects of Robust Convex Optimization on Early-Stage Design Space Exploratory Behavior by Pillai, Priya P, Burnell, Edward, Wang, Xiqing, Yang, Maria C

“…Specifically, the Pareto frontier of a typical participant using robust optimization left less performance “on the table” across various levels of risk than the very best frontiers of participants using industry-standard practices.…”
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Robust fluid control of multiclass queueing networks by Su, Hua, S.M. Massachusetts Institute of Technology

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Optimization under moment, robust, and data-driven models of uncertainty by Doan, Xuan Vinh

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Data-driven models for uncertainty and behavior by Gupta, Vishal, Ph. D. Massachusetts Institute of Technology

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A study on the bidding strategy of the Virtual Power Plant in energy and reserve market by Huy Nguyen-Duc, Nhung Nguyen-Hong

“…Keywords: Electricity market, Energy storage, Robust optimization, Spinning reserve, Virtual Power Plant…”
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Local manifold learning and its link to domain-based physics knowledge by Kamila Zdybał, Giuseppe D’Alessio, Antonio Attili, Axel Coussement, James C. Sutherland, Alessandro Parente

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Distributionally Robust Unit Commitment with N-<i>k</i> Security Criterion and Operational Flexibility of CSP by Younan Pei, Xueshan Han, Pingfeng Ye, Yumin Zhang, Mingbing Li, Huizong Mao

“…Through the identification of the worst probability distribution in the ambiguity set, the adaptive robust optimal scheduling problem is transformed into a two-stage robust optimization decision model under the condition of deterministic probability distribution. …”
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