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Optimization under Adversarial Robustness: New Models and Algorithms

Year: 2025
Type: dissertation
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.
Source: Lirias
Author: Wu, Fei
Language: English
Open Access status: green
OpenAlex ID: W7111572452
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