Gregor Papa

Orcid

Journal articlesshow all

Models for forecasting the traffic flow within the city of Ljubljana, ETRE (2023)
Electric-bus routes in hilly urban areas: overview and challenges, RENEW SUST ENERG REV (2022)
An open-source approach to solving the problem of accurate food-intake monitoring, IEEE ACCESS (2021)
Data Multiplexed and Hardware Reused Architecture for Deep Neural Network Accelerator, NEUROCOMPUTING (2021)
Differential Evolution with Estimation of Distribution for Worst-case Scenario Optimization, MATHEMATICS (2021)
Four algorithms to solve symmetric multi-type non-negative matrix tri-factorization problem, J GLOBAL OPTIM (2021)
The effect of colour on reading performance in children, measured by a sensor hub: From the perspective of gender, PLOS ONE (2021)
The Relation Between Physiological Parameters and Colour Modifications in text Background and Overlay During Reading in Children With and Without Dyslexia, BRAIN SCI (2021)
Low power contactless bioimpedance sensor for monitoring breathing activity, SENSORS (2021)
Multi-objective approaches to ground station scheduling for optimization of communication with satellites, OPTIM ENG (2021)
The sensor hub for detecting the developmental characteristics in reading in children on a white vs. coloured background/coloured overlays, SENSORS (2021)
Simulation of Variational Gaussian Process NARX models with GPGPU, ISA T (2021)

Conference papersshow all

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
Real‐world Applications of Dynamic Parameter Control in Evolutionary Computation - tutorial , PPSN 2022
Dynamic Computational Resource Allocation for CFD Simulations Based on Pareto Front Optimization, GECCO '22
GPU-based Accelerated Computation of Coalescence and Breakup Frequencies for Polydisperse Bubbly Flows, NENE 2021
Worst-Case Scenario Optimisation: Bilevel Evolutionary Approaches, IPSSC 2021
Solving pessimistic bilevel optimisation problems with evolutionary algorithms, EUROGEN 2021
Detecting Network Intrusion Using Binarized Neural Networks, WF-IoT2021
Preferred Solutions of the Ground Station Scheduling Problem using NSGA-III with Weighted Reference Points Selection, CEC 2021
Applications of Dynamic Parameter Control in Evolutionary Computation -tutorial, GECCO 2021

Books & Chaptersshow all

Parameter Control in Evolutionary Optimisation, Optimization Under Uncertainty with Applications to Aerospace Engineering, Springer (2021)

Differential Evolution with Estimation of Distribution for Worst-case Scenario Optimization

M. Antoniou, G. Papa
Mathematics, 2021, Vol. 9, No. 17, pages: 22
DOI: 10.3390/math9172137

BibTex:
@Article{AntoniouPapa2021,
AUTHOR = {Antoniou, Margarita and Papa, Gregor},
TITLE = {Differential Evolution with Estimation of Distribution for Worst-Case Scenario Optimization},
JOURNAL = {Mathematics},
VOLUME = {9},
YEAR = {2021},
NUMBER = {17},
ARTICLE-NUMBER = {2137},
URL = {https://www.mdpi.com/2227-7390/9/17/2137},
ISSN = {2227-7390},
DOI = {10.3390/math9172137}
}

abstract:
Worst-case scenario optimization deals with the minimization of the maximum output in all scenarios of a problem, and it is usually formulated as a min-max problem. Employing nested evolutionary algorithms to solve the problem requires numerous function evaluations. This work proposes a differential evolution with an estimation of distribution algorithm. The algorithm has a nested form, where a differential evolution is applied for both the design and scenario space optimization. To reduce the computational cost, we estimate the distribution of the best worst solution for the best solutions found so far. The probabilistic model is used to sample part of the initial population of the scenario space differential evolution, using a priori knowledge of the previous generations. The method is compared with a state-of-the-art algorithm on both benchmark problems and an engineering application, and the related results are reported.