Ghent University Academic Bibliography

Data-efficient interactive multi-objective optimization using ParEGO

Arash Heidari (UGent) , Sebastian Rojas Gonzalez (UGent) , Tom Dhaene (UGent) and Ivo Couckuyt (UGent)

(2025) Machine learning and principles and practice of knowledge discovery in databases : international workshops of ECML PKDD 2023 : revised selected papers, part III. In Communications in computer and information science p.519-526

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Journal Article
open access

A novel Kriging-assisted multi-objective optimisation method considering infeasibility ratio under input uncertainty

Hua Wei (UGent) , Qi Zhou, Tom Dhaene (UGent) and Ivo Couckuyt (UGent)

(2025) JOURNAL OF ENGINEERING DESIGN.

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Journal Article
A1
open access

Surrogate-assisted evolutionary algorithm for the calibration of distributed hydrological models based on two-dimensional shallow water equations

Juan Fernando Farfán Durán, Arash Heidari (UGent) , Tom Dhaene (UGent) , Ivo Couckuyt (UGent) and Luis Cea

(2024) WATER. 16(5).

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Data-driven surrogate modeling for the flammability reduction system

Arash Heidari (UGent) , Lorin Werthen-Brabants (UGent) , Tom Dhaene (UGent) , Ivo Couckuyt (UGent) , C. Onur, P. Van Gils and I. Jojic

(2024) AIAA SCITECH 2024 Forum. p.1-11

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Journal Article
A1
open access

Multi-objective constrained robust design of a metamaterial vibration isolator with a limited budget

Hua Wei (UGent) , Qi Zhou, Tom Dhaene (UGent) and Ivo Couckuyt (UGent)

(2024) JOURNAL OF ENGINEERING DESIGN. 35(3). p.241-262

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Conference Paper
C1
open access

Lower confidence bound for preference selection in interactive multi-objective optimization

Arash Heidari (UGent) , Sebastian Rojas Gonzalez (UGent) , Tom Dhaene (UGent) and Ivo Couckuyt (UGent)

(2024) GECCO '24 Companion : proceedings of the Genetic and Evolutionary Computation Conference Companion. p.339-342

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Cheap-expensive multi-objective Bayesian optimization for permanent magnet synchronous motor design

Nasrulloh Ratu Bagus Satrio Loka (UGent) , Mohamed Ibrahim (UGent) , Ivo Couckuyt (UGent) , Inneke Van Nieuwenhuyse and Tom Dhaene (UGent)

(2024) ENGINEERING WITH COMPUTERS. 40(4). p.2143-2159

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Conference Paper
P1
open access

Evaluation of machine learning models for received signal strength based visible light positioning with obstacles

Jorik De Bruycker, Michiel De Wilde, Federico Garbuglia (UGent) , Ioana Nikova (UGent) , Ivo Couckuyt (UGent) , Tom Dhaene (UGent) and Nobby Stevens

(2024) 2024 14TH INTERNATIONAL SYMPOSIUM ON COMMUNICATION SYSTEMS, NETWORKS AND DIGITAL SIGNAL PROCESSING, CSNDSP 2024. In International Symposium on Communication Systems Networks and Digital Signal Processing 521. p.318-323

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Conference Paper
open access

Optimized Data Transmission for Radar-Based Edge-Cloud Human Activity Recognition via Quantization

Victor Tuytte, Arash Heidari (UGent) , Lorin Werthen-Brabants (UGent) , Tom Dhaene (UGent) and Ivo Couckuyt (UGent)

(2024) 2024 21st European Radar Conference (EuRAD). p.145-148

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Conference Paper
open access

Optimizing Memory Footprint for Radar-Based Human Activity Recognition on Resource-Constrained Devices

Arash Heidari (UGent) , Lorin Werthen-Brabants (UGent) , Tom Dhaene (UGent) and Ivo Couckuyt (UGent)

(2024) 2024 21st European Radar Conference (EuRAD). p.141-144

Academic Bibliography

Data-efficient interactive multi-objective optimization using ParEGO

A novel Kriging-assisted multi-objective optimisation method considering infeasibility ratio under input uncertainty

Surrogate-assisted evolutionary algorithm for the calibration of distributed hydrological models based on two-dimensional shallow water equations

Data-driven surrogate modeling for the flammability reduction system

Multi-objective constrained robust design of a metamaterial vibration isolator with a limited budget

Lower confidence bound for preference selection in interactive multi-objective optimization

Cheap-expensive multi-objective Bayesian optimization for permanent magnet synchronous motor design

Evaluation of machine learning models for received signal strength based visible light positioning with obstacles

Optimized Data Transmission for Radar-Based Edge-Cloud Human Activity Recognition via Quantization

Optimizing Memory Footprint for Radar-Based Human Activity Recognition on Resource-Constrained Devices

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