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Optimization Models with Probabilistic Constraints
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Optimization Models with Probabilistic Constraints (2006)Optimization Models with Probabilistic Co…Humanitarian relief network design: Responsiveness maximization and a case study of Typhoon Rammasun (2022)Humanitarian relief network d…Frameworks and Results in Distributionally Robust Optimization (2022)Frameworks and Results in Dis…Chance-constrained optimization under limited distributional information: A review of reformulations based on sampling and distributional robustness (2022)Chance-constrained optimizati…Direct plastic structural design under random strength and random load by chance constrained programming (2020)Direct plastic structural des…Solving chance constrained optimal control problems in aerospace via kernel density estimation (2018)Solving chance constrained op…Optimal design under uncertainty of bearing arrangements (2016)Optimal design under uncertai…Scenario Min-Max Optimization and the Risk of Empirical Costs (2015)Scenario Min-Max Optimization…Chance constrained 0–1 quadratic programs using copulas (2015)Chance constrained 0–1 quadra…FAST—Fast Algorithm for the Scenario Technique (2014)FAST—Fast Algorithm for the S…A Branch-and-Cut Method for Dynamic Decision Making Under Joint Chance Constraints (2014)A Branch-and-Cut Method for D…Mathematical programming approaches for generating p-efficient points (2010)Mathematical programming appr…A Sampling-and-Discarding Approach to Chance-Constrained Optimization: Feasibility and Optimality (2010)A Sampling-and-Discarding App…The Exact Feasibility of Randomized Solutions of Uncertain Convex Programs (2008)The Exact Feasibility of Rand…Chance-Constrained Programming (1959)Robust Convex Optimization (1998)Robust solutions of uncertain linear programs (1999)Data-driven robust optimization (2017)Handbooks in operations research and management science (1989)The Price of Robustness (2004)Lectures on Stochastic Programming (2009)Monte Carlo sampling-based methods for stochastic optimization (2014)On the Road Between Robust Optimization and the Scenario Approach for Chance Constrained Optimization Problems (2014)Optimization under uncertainty in the era of big data and deep learning: When machine learning meets mathematical programming (2019)Scenarios and Policy Aggregation in Optimization Under Uncertainty (1991)Stochastic Programming (1995)Regularization methods for optimization problems with probabilistic constraints (2012)Chance Constrained Mixed Integer Program: Bilinear and Linear Formulations, and Benders Decomposition (2014)Probabilistic optimization via approximate p-efficient points and bundle methods (2016)Introduction to Stochastic Programming (2011)A polyhedral study on chance constrained program with random right-hand side (2016)Relaxations and approximations of chance constraints under finite distributions (2018)Risk aversion to parameter uncertainty in Markov decision processes with an application to slow-onset disaster relief (2019)Convex Approximations of Chance Constrained Programs (2006)Lectures on Stochastic Programming: Modeling and Theory (2009)Soft-constrained interval predictor models and epistemic reliability intervals: A new tool for uncertainty quantification with limited experimental data (2021)On the Exact Feasibility of Convex Scenario Programs With Discarded Constraints (2022)Coherent Measures of Risk (1999)Optimization of conditional value-at-risk (2000)Distributionally Robust Mean-Variance Portfolio Selection with Wasserstein Distances (2021)Distributionally Robust Optimization: A review on theory and applications (2021)Stochastic optimization models for location and inventory prepositioning of disaster relief supplies (2022)Conditional value-at-risk for general loss distributions (2002)Humanitarian aid logistics: supply chain management in high gear (2006)A multi-stage stochastic programming approach for pre-positioning of relief supplies considering returns (2023)Modelling a bi-level multi-objective post-disaster humanitarian relief logistics network design problem under uncertainty (2023)A multistage stochastic programming approach for drone-supported last-mile humanitarian logistics system planning (2025)
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Cited by

  • 2022Frameworks and Results in Distributionally Robust Optimization664 cited
  • 2008The Exact Feasibility of Randomized Solutions of Uncertain Convex Programs570 cited
  • 2010A Sampling-and-Discarding Approach to Chance-Constrained Optimization: Feasibility and Optimality404 cited
  • 2022Chance-constrained optimization under limited distributional information: A review of reformulations based on sampling and distributional robustness59 cited
  • 2015Scenario Min-Max Optimization and the Risk of Empirical Costs53 cited
  • 2014FAST—Fast Algorithm for the Scenario Technique50 cited
  • 2014A Branch-and-Cut Method for Dynamic Decision Making Under Joint Chance Constraints45 cited
  • 2010Mathematical programming approaches for generating p-efficient points44 cited
  • 2022Humanitarian relief network design: Responsiveness maximization and a case study of Typhoon Rammasun34 cited
  • 2018Solving chance constrained optimal control problems in aerospace via kernel density estimation33 cited
  • 2015Chance constrained 0–1 quadratic programs using copulas24 cited
  • 2016Optimal design under uncertainty of bearing arrangements10 cited
  • 2020Direct plastic structural design under random strength and random load by chance constrained programming7 cited

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