Optimization under Adversarial Robustness: New Models and Algorithms

The aim of this project is to develop mathematical models and algorithmic methods for scheduling problems under uncertainty and in particular, for identifying critical activities in the schedule, evaluating the performance of given scheduling policies, and finding optimal policies in a parametric setting.

Publication Details

Journal
Lirias (KU Leuven)
Published
2025-09-24
Primary Topic
Risk and Portfolio Optimization
Type
article
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article

Optimization under Adversarial Robustness: New Models and Algorithms

Lirias (KU Leuven)
Risk and Portfolio Optimization
article

Optimization under Adversarial Robustness: New Models and Algorithms

article en

Abstract

The aim of this project is to develop mathematical models and algorithmic methods for scheduling problems under uncertainty and in particular, for identifying critical activities in the schedule, evaluating the performance of given scheduling policies, and finding optimal policies in a parametric setting.

Lirias (KU Leuven)
Openalex Percentile: Top 33%
Risk and Portfolio Optimization
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Optimization under Adversarial Robustness: New Models and Algorithms · Lirias (KU Leuven) (2025) | TGRS Research Map | TGRS