Some perturbation theory for linear programming
Mathematical Programming: Series A and B
Robust and optimal control
SIAM Review
Robust Solutions to Least-Squares Problems with Uncertain Data
SIAM Journal on Matrix Analysis and Applications
Mathematics of Operations Research
Atomic Decomposition by Basis Pursuit
SIAM Journal on Scientific Computing
Advances in linear matrix inequality methods in control: advances in design and control
Advances in linear matrix inequality methods in control: advances in design and control
Dynamic Programming and Optimal Control
Dynamic Programming and Optimal Control
Dynamic Programming and Optimal Control
Dynamic Programming and Optimal Control
Markov Decision Processes: Discrete Stochastic Dynamic Programming
Markov Decision Processes: Discrete Stochastic Dynamic Programming
Introduction to Linear Optimization
Introduction to Linear Optimization
Neuro-Dynamic Programming
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
Robust Truss Topology Design via Semidefinite Programming
SIAM Journal on Optimization
Robust Solutions to Uncertain Semidefinite Programs
SIAM Journal on Optimization
On Tractable Approximations of Uncertain Linear Matrix Inequalities Affected by Interval Uncertainty
SIAM Journal on Optimization
Robust Solutions of Uncertain Quadratic and Conic-Quadratic Problems
SIAM Journal on Optimization
Robust portfolio selection problems
Mathematics of Operations Research
A robust minimax approach to classification
The Journal of Machine Learning Research
Operations Research
Convex Optimization
Adjustable robust solutions of uncertain linear programs
Mathematical Programming: Series A and B
Approximating the Stochastic Knapsack Problem: The Benefit of Adaptivity
FOCS '04 Proceedings of the 45th Annual IEEE Symposium on Foundations of Computer Science
Uncertain convex programs: randomized solutions and confidence levels
Mathematical Programming: Series A and B
A New Method for Design of Robust Digital Circuits
ISQED '05 Proceedings of the 6th International Symposium on Quality of Electronic Design
Optimal Inequalities in Probability Theory: A Convex Optimization Approach
SIAM Journal on Optimization
Mathematics of Operations Research
Tractable Approximations to Robust Conic Optimization Problems
Mathematical Programming: Series A and B
Ambiguous chance constrained problems and robust optimization
Mathematical Programming: Series A and B
Extending Scope of Robust Optimization: Comprehensive Robust Counterparts of Uncertain Problems
Mathematical Programming: Series A and B
Strong Formulations of Robust Mixed 0–1 Programming
Mathematical Programming: Series A and B
Geometric programming for communication systems
Communications and Information Theory
Proceedings of the 2006 IEEE/ACM international conference on Computer-aided design
Robust Mean-Covariance Solutions for Stochastic Optimization
Operations Research
Retailer-Supplier Flexible Commitments Contracts: A Robust Optimization Approach
Manufacturing & Service Operations Management
Robust Control of Markov Decision Processes with Uncertain Transition Matrices
Operations Research
Digital Circuit Optimization via Geometric Programming
Operations Research
A Robust Optimization Approach to Inventory Theory
Operations Research
Second Order Cone Programming Approaches for Handling Missing and Uncertain Data
The Journal of Machine Learning Research
Adaptable optimization: theory and algorithms
Adaptable optimization: theory and algorithms
Convex Approximations of Chance Constrained Programs
SIAM Journal on Optimization
The Journal of Machine Learning Research
Optimal Solutions for Sparse Principal Component Analysis
The Journal of Machine Learning Research
Two-Stage Robust Network Flow and Design Under Demand Uncertainty
Operations Research
A Robust Optimization Perspective on Stochastic Programming
Operations Research
A Linear Decision-Based Approximation Approach to Stochastic Programming
Operations Research
Constructing Risk Measures from Uncertainty Sets
Operations Research
SIAM Review
Constructing Uncertainty Sets for Robust Linear Optimization
Operations Research
Mitigation of intra-array SRAM variability using adaptive voltage architecture
Proceedings of the 2009 International Conference on Computer-Aided Design
Percentile Optimization for Markov Decision Processes with Parameter Uncertainty
Operations Research
Robustness and Regularization of Support Vector Machines
The Journal of Machine Learning Research
On the Power of Robust Solutions in Two-Stage Stochastic and Adaptive Optimization Problems
Mathematics of Operations Research
IEEE Transactions on Information Theory
A Soft Robust Model for Optimization Under Ambiguity
Operations Research
Stochastic covering and adaptivity
LATIN'06 Proceedings of the 7th Latin American conference on Theoretical Informatics
Robust minimum variance beamforming
IEEE Transactions on Signal Processing
Robust mean-squared error estimation in the presence of model uncertainties
IEEE Transactions on Signal Processing
Brief Robust maximum likelihood estimation in the linear model
Automatica (Journal of IFAC)
Optimization over state feedback policies for robust control with constraints
Automatica (Journal of IFAC)
Decoding by linear programming
IEEE Transactions on Information Theory
On complexity of multistage stochastic programs
Operations Research Letters
Computing robust basestock levels
Discrete Optimization
Robust solutions of uncertain linear programs
Operations Research Letters
Robust linear optimization under general norms
Operations Research Letters
Robust profit opportunities in risky financial portfolios
Operations Research Letters
An introduction to convex optimization for communications and signal processing
IEEE Journal on Selected Areas in Communications
Mathematics of Operations Research
An algorithm for exploiting modeling error statistics to enable robust analog optimization
Proceedings of the International Conference on Computer-Aided Design
A Distributional Interpretation of Robust Optimization
Mathematics of Operations Research
A new uncertainty budgeting based method for robust analog/mixed-signal design
Proceedings of the 49th Annual Design Automation Conference
IEEE/ACM Transactions on Networking (TON)
Optimization Under Probabilistic Envelope Constraints
Operations Research
New results about multi-band uncertainty in robust optimization
SEA'12 Proceedings of the 11th international conference on Experimental Algorithms
Layered formulation for the robust vehicle routing problem with time windows
ISCO'12 Proceedings of the Second international conference on Combinatorial Optimization
The robust vehicle routing problem with time windows
Computers and Operations Research
Robust Simulation of Global Warming Policies Using the DICE Model
Management Science
Ranking and selection meets robust optimization
Proceedings of the Winter Simulation Conference
Inverse Optimization: A New Perspective on the Black-Litterman Model
Operations Research
Proceedings of the 2013 ACM international symposium on International symposium on physical design
Thrifty algorithms for multistage robust optimization
IPCO'13 Proceedings of the 16th international conference on Integer Programming and Combinatorial Optimization
Risk sensitivity of price of anarchy under uncertainty
Proceedings of the fourteenth ACM conference on Electronic commerce
Exact solution of the robust knapsack problem
Computers and Operations Research
Using robust optimization for distribution and inventory planning for a large pulp producer
Computers and Operations Research
Robust power allocation for energy-efficient location-aware networks
IEEE/ACM Transactions on Networking (TON)
Journal of Intelligent and Robotic Systems
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In this paper we survey the primary research, both theoretical and applied, in the area of robust optimization (RO). Our focus is on the computational attractiveness of RO approaches, as well as the modeling power and broad applicability of the methodology. In addition to surveying prominent theoretical results of RO, we also present some recent results linking RO to adaptable models for multistage decision-making problems. Finally, we highlight applications of RO across a wide spectrum of domains, including finance, statistics, learning, and various areas of engineering.