Ghent University Academic Bibliography

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Comparing and extending satisfiability solution methods for the resource-constrained project scheduling problem

José Fernandes da Silva Coelho (UGent) and Mario Vanhoucke (UGent)

(2026) COMPUTERS & OPERATIONS RESEARCH. 186.
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Fifty years of research on resource-constrained project scheduling explored from different perspectives

Christian Artigues, Sönke Hartmann and Mario Vanhoucke (UGent)

(2026) EUROPEAN JOURNAL OF OPERATIONAL RESEARCH. 328(2). p.367-389
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A genetic algorithm for seafood processing with flexible flow shops and sequence-dependent setups

Tom Servranckx (UGent) , Thibault Verbanck, Jie Song (UGent) and Mario Vanhoucke (UGent)

(2025) FLEXIBLE SERVICES AND MANUFACTURING JOURNAL.
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Efficient meta-heuristic approach for the multi-objective green p-hub centre routing problem

El Mehdi Ibnoulouafi, Tarik Aouam (UGent) , Mustapha Oudani and Mounir Ghogho

(2025) IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION.
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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. 36(4). p.571-595
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Data fusion of visible near-infrared and mid-infrared spectroscopy combined with feature selection and machine learning for rapid discrimination of fusarium head blight infection in wheat kernel and flour

Mhd Baraa Almoujahed (UGent) , Rebecca L. Whetton and Abdul Mouazen (UGent)

(2025) INFRARED PHYSICS & TECHNOLOGY. 151.
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A dynamic learning-based genetic algorithm for scheduling resource-constrained projects with alternative subgraphs

Rojin Nekoueian (UGent) , Tom Servranckx (UGent) and Mario Vanhoucke (UGent)

(2025) APPLIED SOFT COMPUTING. 180.
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A solution framework for multi-skilled project scheduling problems with hierarchical skills

Jakob Snauwaert and Mario Vanhoucke (UGent)

(2025) JOURNAL OF SCHEDULING. 28(3). p.289-310
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A quantitative framework to support the decision between traditional, selective, and hybrid assembly

Andrea Mencaroni (UGent) , Dieter Claeys (UGent) , Birger Raa (UGent) and Stijn De Vuyst (UGent)

(2024) INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS. 273.
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A genetic algorithm for the personnel task rescheduling problem with time preemption

Tessa Borgonjon and Broos Maenhout (UGent)

(2024) EXPERT SYSTEMS WITH APPLICATIONS. 238(Part B).

Academic Bibliography

Comparing and extending satisfiability solution methods for the resource-constrained project scheduling problem

Fifty years of research on resource-constrained project scheduling explored from different perspectives

A genetic algorithm for seafood processing with flexible flow shops and sequence-dependent setups

Efficient meta-heuristic approach for the multi-objective green p-hub centre routing problem

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

Data fusion of visible near-infrared and mid-infrared spectroscopy combined with feature selection and machine learning for rapid discrimination of fusarium head blight infection in wheat kernel and flour

A dynamic learning-based genetic algorithm for scheduling resource-constrained projects with alternative subgraphs

A solution framework for multi-skilled project scheduling problems with hierarchical skills

A quantitative framework to support the decision between traditional, selective, and hybrid assembly

A genetic algorithm for the personnel task rescheduling problem with time preemption

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