Margarita Antoniou

Journal articlesshow all

δ-perturbation of bilevel optimization problems: An error bound analysis, Oper. Res. Perspect. (2024)

Conference papersshow all

An evolutionary approach to pessimistic bilevel optimization problems,
An evolutionary approach to pessimistic bilevel optimization problems, BILEVEL 2023
Evaluation of Parallel Hierarchical Differential Evolution for Min-Max Optimization Problems Using SciPy, BIOMA 2022
On Suitability of the Customized Measuring Device for Electric Motor, IECON 2022
Dynamic Computational Resource Allocation for CFD Simulations Based on Pareto Front Optimization, GECCO '22

Books & Chaptersshow recent

A Framework for Applying Data-Driven AI/ML Models in Reliability, Recent Advances in Microelectronics Reliability, Springer (2024)
Multilevel optimisation, Optimization Under Uncertainty with Applications to Aerospace Engineering, Springer (2021)
Parameter Control in Evolutionary Optimisation, Optimization Under Uncertainty with Applications to Aerospace Engineering, Springer (2021)

Multilevel optimisation

M. Antoniou, P. Korošec
Optimization Under Uncertainty with Applications to Aerospace Engineering, M. Vasile (Ed.)
Springer, 2021
pages: 307-331
DOI: 10.1007/978-3-030-60166-9_9

BibTex:
@Inbook{Antoniou2021, author="Antoniou, Margarita and Koro{\v{s}}ec, Peter", editor="Vasile, Massimiliano", title="Multilevel Optimisation", bookTitle="Optimization Under Uncertainty with Applications to Aerospace Engineering", year="2021", publisher="Springer International Publishing", address="Cham", pages="307--331", abstract="This chapter is a short introduction to multilevel optimisation problems. The simplest multilevel problem is the one that has two levels, where one optimisation problem has as part of its constraints a second optimisation problem, known as bilevel problem. Even this simple version of the problem is from a mathematical point of view, complicated and difficult to solve. Therefore, approaches and examples of bilevel problems, as well as special cases and extensions of this problem that are used widely in literature, are presented. The most common methodologies used to solve multilevel problems are then described, with more extended reference to metaheuristic methods.", isbn="978-3-030-60166-9", doi="10.1007/978-3-030-60166-9_9", url="https://doi.org/10.1007/978-3-030-60166-9_9" }

abstract:
This chapter is a short introduction to multilevel optimisation problems. The simplest multilevel problem is the one that has two levels, where one optimisation problem has as part of its constraints a second optimisation problem, known as bilevel problem. Even this simple version of the problem is from a mathematical point of view, complicated and difficult to solve. Therefore, approaches and examples of bilevel problems, as well as special cases and extensions of this problem that are used widely in literature, are presented. The most common methodologies used to solve multilevel problems are then described, with more extended reference to metaheuristic methods.