activity
20222026
most citedOperational Research: Methods and Applications

120 citations · 128 across the 6 of their papers we have counts for

collaborators

7 papers

math.OC2026

Exact Methods for Solving k-Delete Recoverable Robust 0-1 Problems Under Budgeted Uncertainty

Yasmine Beck, Christina Büsing, Ivana Ljubić

We study the k-delete recoverable robust 0-1 problem in which a decision-maker solves a combinatorial optimization problem subject to objective uncertainty. The model follows a two…

math.OC2026

Modeling Network Congestion under Demand Uncertainty Using Wardrop Principles

Yasmine Beck, Francesca Giancola, Ivana Ljubić +1

Motivated by the need for reliable traffic management under fluctuating travel demand, we study the problem of determining the worst-case congestion in a multi-commodity traffic ne…

math.OC2025

An efficient branch-and-cut algorithm for the multiple probabilistic covering location problem

Yan-Ru Wang, Wei-Kun Chen, Ivana Ljubić

In this paper, we consider the multiple probabilistic covering location problem (MPCLP), which attempts to open a fixed number of facilities to maximize the total covered customer…

math.OC2024★ 4 cited

Bilevel optimization with sustainability perspective: A survey on applications

Giulia Caselli, Manuel Iori, Ivana Ljubić

Bilevel optimization, a well-established field for modeling hierarchical decision-making problems, has recently intersected with sustainability studies and practices, resulting in…

math.OC2024★ 1 cited

Benders decomposition for congested partial set covering location with uncertain demand

Alice Calamita, Ivana Ljubić, Laura Palagi

In this paper, we introduce a mixed integer quadratic formulation for the congested variant of the partial set covering location problem, which involves determining a subset of fac…

math.OC2023★ 120 cited

Operational Research: Methods and Applications

Fotios Petropoulos, Gilbert Laporte, Emel Aktas +79

Throughout its history, Operational Research has evolved to include a variety of methods, models and algorithms that have been applied to a diverse and wide range of contexts. This…

math.OC2022★ 3 cited

A Brief Introduction to Robust Bilevel Optimization

Yasmine Beck, Ivana Ljubić, Martin Schmidt

Bilevel optimization is a powerful tool for modeling hierarchical decision making processes. However, the resulting problems are challenging to solve - both in theory and practice.…