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08/16/2023
A Framework for Data-Driven Explainability in Mathematical Optimization
Advancements in mathematical programming have made it possible to effici...
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03/09/2023
Robust optimization with belief functions
In this paper, an optimization problem with uncertain objective function...
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09/02/2022
On the Complexity of Robust Multi-Stage Problems in the Polynomial Hierarchy
We study the computational complexity of multi-stage robust optimization...
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08/26/2022
A Framework for Inherently Interpretable Optimization Models
With dramatic improvements in optimization software, the solution of lar...
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03/30/2022
Data-driven Prediction of Relevant Scenarios for Robust Optimization
In this work we study robust one- and two-stage problems with discrete u...
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03/14/2022
A faster exact method for solving the robust multi-mode resource-constrained project scheduling problem
This paper presents a mixed-integer linear programming formulation for t...
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01/13/2022
Benchmarking Problems for Robust Discrete Optimization
Robust discrete optimization is a highly active field of research where ...
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11/24/2021
Combinatorial Optimization Problems with Balanced Regret
For decision making under uncertainty, min-max regret has been establish...
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11/18/2021
On the Recoverable Traveling Salesman Problem
In this paper we consider the Recoverable Traveling Salesman Problem (TS...
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07/20/2021
Recoverable Robust Single Machine Scheduling with Interval Uncertainty
We investigate the recoverable robust single machine scheduling problem ...
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04/07/2021
Two-Stage Robust Optimization Problems with Two-Stage Uncertainty
We consider two-stage robust optimization problems, which can be seen as...
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11/19/2020
Data-Driven Robust Optimization using Unsupervised Deep Learning
Robust optimization has been established as a leading methodology to app...
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11/12/2020
Recoverable Robust Single Machine Scheduling with Budgeted Uncertainty
This paper considers a recoverable robust single-machine scheduling prob...
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08/28/2020
Recoverable Robust Representatives Selection Problems with Discrete Budgeted Uncertainty
Recoverable robust optimization is a multi-stage approach, where it is p...
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05/21/2020
Combinatorial two-stage minmax regret problems under interval uncertainty
In this paper a class of combinatorial optimization problems is discusse...
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04/15/2020
Automatic Generation of Algorithms for Black-Box Robust Optimisation Problems
We develop algorithms capable of tackling robust black-box optimisation ...
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10/28/2019
The Multi-level Bottleneck Assignment Problem: Complexity and Solution Methods
We study the multi-level bottleneck assignment problem (MBA), which has ...
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05/07/2019
Robust two-stage combinatorial optimization problems under convex uncertainty
In this paper a class of robust two-stage combinatorial optimization pro...
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12/19/2018
Two-stage Combinatorial Optimization Problems under Risk
In this paper a class of combinatorial optimization problems is discusse...
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12/12/2018
Mixed Uncertainty Sets for Robust Combinatorial Optimization
In robust optimization, the uncertainty set is used to model all possibl...
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11/02/2018
Generating Hard Instances for Robust Combinatorial Optimization
While research in robust optimization has attracted considerable interes...
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04/10/2018
