Ghent University Academic Bibliography

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A coevolutionary approach to optimizing interpretable rule ensembles

Simon De Lange (UGent) , Matthias Bogaert (UGent) , Koen De Bock (UGent) and Dirk Van den Poel (UGent)

(2026) Flanders Make Scientific Conference 2026, Posters.
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- Conference Paper
- C3
- open access
A coevolutionary approach for optimizing interpretable rule ensembles

Simon De Lange (UGent) , Matthias Bogaert (UGent) , Koen W. De Bock and Dirk Van den Poel (UGent)

(2026) ORBEL 40 : 40th annual conference of the Belgian Operational Research Society, Booklet of abstracts. p.72-73
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- Book Editor
Cellular automata : 16th International Conference on Cellular Automata for Research and Industry, ACRI 2024, Florence, Italy, September 9–11, 2024, Proceedings

Franco Bagnoli, Jan Baetens (UGent) , Stefania Bandini and Tommaso Matteuzzi

(2024) In Lecture Notes in Computer Science 14978.
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- Journal Article
- A1
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Bayesian multi-objective optimization of process design parameters in constrained settings with noise : an engineering design application

Alejandro Morales Hernández, Sebastian Rojas Gonzalez (UGent) , Inneke Van Nieuwenhuyse, Ivo Couckuyt (UGent) , Jeroen Jordens, Maarten Witters and Bart Van Doninck

(2024) ENGINEERING WITH COMPUTERS. 40(4). p.2497-2511
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- P1
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Multi-objective scheduling and resource allocation of Kubernetes replicas across the compute continuum

N. Di Cicco, F. Poltronieri, José Santos (UGent) , M. Zaccarini, M. Tortonesi, C. Stefanelli and Filip De Turck (UGent)

(2024) 2024 20TH INTERNATIONAL CONFERENCE ON NETWORK AND SERVICE MANAGEMENT, CNSM 2024. In International Conference on Network and Service Management
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- Journal Article
- A2
- open access
Artificial intelligence in visible light positioning for indoor IoT : a methodological review

Vasileios P. Rekkas, Lazaros Alexios Iliadis, Sotirios P. Sotiroudis, Achilles D. Boursianis, Panagiotis Sarigiannidis, David Plets (UGent) , Wout Joseph (UGent) , Shaohua Wan, Christos G. Christodoulou, George K. Karagiannidis, et al.

(2023) IEEE OPEN JOURNAL OF THE COMMUNICATIONS SOCIETY. 4. p.2838-2869
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- open access
Distance-based delays in echo state networks

Stefan-Teodor Iacob (UGent) , Matthias Freiberger (UGent) and Joni Dambre (UGent)

(2022) Intelligent Data Engineering and Automated Learning (IDEAL 2022). In Lecture notes in computer science 13756. p.211-222
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The optimal configuration of wave energy conversions respective to the nearshore wave energy potential

Alireza Shadmani (UGent) , Mohammad Reza Nikoo, Riyadh I. Al-Raoush, Nasrin Alamdari and Amir H. Gandomi

(2022) ENERGIES. 15(20).
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Evolutionary co-optimisation of robot morphology and control : toward a seahorse-tail inspired robotic manipulator

Dries Marzougui (UGent) , Dominique Adriaens (UGent) and Francis wyffels (UGent)

(2022) SEB Annual Conference 2022, Abstracts.
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- open access
GloMPO (Globally Managed Parallel Optimization) : a tool for expensive, black-box optimizations, application to ReaxFF reparameterizations

Michael Freitas Gustavo and Toon Verstraelen (UGent)

(2022) JOURNAL OF CHEMINFORMATICS. 14(1).

Academic Bibliography

A coevolutionary approach to optimizing interpretable rule ensembles

A coevolutionary approach for optimizing interpretable rule ensembles

Cellular automata : 16th International Conference on Cellular Automata for Research and Industry, ACRI 2024, Florence, Italy, September 9–11, 2024, Proceedings

Bayesian multi-objective optimization of process design parameters in constrained settings with noise : an engineering design application

Multi-objective scheduling and resource allocation of Kubernetes replicas across the compute continuum

Artificial intelligence in visible light positioning for indoor IoT : a methodological review

Distance-based delays in echo state networks

The optimal configuration of wave energy conversions respective to the nearshore wave energy potential

Evolutionary co-optimisation of robot morphology and control : toward a seahorse-tail inspired robotic manipulator

GloMPO (Globally Managed Parallel Optimization) : a tool for expensive, black-box optimizations, application to ReaxFF reparameterizations

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