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Evolutionary algorithms for optimizing pessimistic bilevel problems and min-max problems

Author(s): Margarita Antoniou (Author), Gregor Papa (Supervisor)

Year: 2025

Type: Doctoral dissertation

This thesis investigates two distinct but related optimization problems: bilevel and minmax problems, in the context of evolutionary algorithms (EAs). Bilevel optimization involves hierarchical decision-making, where decisions at the upper level are subject to constraints defined by the solutions of an optimization problem at the lower level. These problems are …

Use of information and communication technologies, data and knowledge to increase the impact of digital environments on food choice

Author(s): Eva Valenčič (Author), Barbara Koroušić Seljak (Supervisor), Tamara Bucher (Supervisor), Clare Elizabeth Collins (Co-Supervisor), Emma Beckett (Co-Supervisor)

Year: 2023

Type: Doctoral dissertation

Food and eating environments play a crucial role in shaping consumers' food choices. As food decision-making shifts more into the digital environment, it is essential to understand the impact of this setting on consumer's dietary behaviours. Online platforms and mobile apps provide great opportunities for the promotion of healthier food …

Study of inconsistencies in health risk assessment: the role of assessment context in decision analysis aimed at their reduction

Author(s): Tine Bizjak (Author), Branko Kontić (Supervisor)

Year: 2022

Type: Doctoral dissertation

The area of risk assessment continues to be challenged by foundational issues that limit its potential to inform public health decisions. This doctoral work improves our understanding of the interaction between science and public and environmental health policy by addressing specific challenges in risk assessment within and for decision-making. The …