Margarita Antoniou

Journal articlesshow recent

δ-perturbation of bilevel optimization problems: An error bound analysis, Oper. Res. Perspect. (2024)
Differential Evolution with Estimation of Distribution for Worst-case Scenario Optimization, MATHEMATICS (2021)
Multi-objective approaches to ground station scheduling for optimization of communication with satellites, OPTIM ENG (2021)

Conference papersshow recent

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
Worst-Case Scenario Optimisation: Bilevel Evolutionary Approaches, IPSSC 2021
Solving pessimistic bilevel optimisation problems with evolutionary algorithms, EUROGEN 2021
Preferred Solutions of the Ground Station Scheduling Problem using NSGA-III with Weighted Reference Points Selection, CEC 2021
On Formulating the Ground Scheduling Problem as a Multi-objective Bilevel Problem, BIOMA 2020
Refining the CC-RDG3 Algorithm with Increasing Population Scheme and Persistent Covariance Matrix, BIOMA 2020
Solving min-max optimisation problems by means of bilevel evolutionary algorithms: a preliminary study, GECCO 2020
An adaptive evolutionary surrogate-based approach for single-objective bilevel optimisation, UQOP 2019
Parameter Control in Evolutionary Bilevel Optimisation, IPSSC 2019

Books & Chaptersshow all

A Framework for Applying Data-Driven AI/ML Models in Reliability, Recent Advances in Microelectronics Reliability, Springer (2024)

On Formulating the Ground Scheduling Problem as a Multi-objective Bilevel Problem

M. Antoniou, G. Petelin, G. Papa
Proc. 9th International Conference on Bioinspired Methods and Their Applications, LNCS 12438
, B. Filipič, E. Minisci, M. Vasile (Eds.)
Brussels, Belgium: 19-20 November 2020
pages: 177-188
DOI: 10.1007/978-3-030-63710-1_14

abstract:
In this paper, a bilevel multi-objective formulation of the Ground Scheduling Problem is presented. First, the problem is formulated as a bilevel optimisation problem (BOP), wherein the upper level (UL) is a biobjective problem determining the pairs of Ground Station (GS) to Spacecraft (SC) and the starting time of each event with objectives the maximisation of the access windows and the minimisation of the communication clashes of each GS. These two objectives of the UL can be assumed as a measure of the violation of the feasibility of a schedule. The lower level (LL) consists of a single objective optimisation problem that determines the duration of each event, with objectives the communication time requirement of SCs with GS and the total ground station usage, combined together to a weighted sum function. The approach used to solve this multi-objective BOP is a nested approach, where the Pareto front of the upper level is obtained by a multi-objective optimisation algorithm (NSGA2) and the lower level is solved using a GA. The formulation is tested on one small test case from literature and the relevant results are reported.