Ghent University Academic Bibliography

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Features for the 0-1 knapsack problem based on inclusionwise maximal solutions

Jorik Jooken, Pieter Leyman (UGent) and Patrick De Causmaecker

(2023) EUROPEAN JOURNAL OF OPERATIONAL RESEARCH. 311(1). p.36-55
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Multi-league sports scheduling with different leagues sizes

Miao Li (UGent) , Morteza Davari and Dries Goossens (UGent)

(2023) EUROPEAN JOURNAL OF OPERATIONAL RESEARCH. 307(1). p.313-327
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A classification and new benchmark instances for the multi-skilled resource-constrained project scheduling problem

Jakob Snauwaert (UGent) and Mario Vanhoucke (UGent)

(2023) EUROPEAN JOURNAL OF OPERATIONAL RESEARCH. 307(1). p.1-19
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A prediction model for ranking branch-and-bound procedures for the resource-constrained project scheduling problem

Weikang Guo (UGent) , Mario Vanhoucke (UGent) and José Fernandes da Silva Coelho (UGent)

(2023) EUROPEAN JOURNAL OF OPERATIONAL RESEARCH. 306(2). p.579-595
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A shortfall modelling-based solution approach for stochastic cyclic inventory routing

Birger Raa (UGent) and Tarik Aouam (UGent)

(2023) EUROPEAN JOURNAL OF OPERATIONAL RESEARCH. 305(2). p.674-684
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The international timetabling competition on sports timetabling (ITC2021)

David Van Bulck (UGent) and Dries Goossens (UGent)

(2023) EUROPEAN JOURNAL OF OPERATIONAL RESEARCH. 308(3). p.1249-1267
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A pessimist’s approach to one-sided matching

Tom Demeulemeester (UGent) , Dries Goossens (UGent) , Ben Hermans and Roel Leus

(2023) EUROPEAN JOURNAL OF OPERATIONAL RESEARCH. 305(3). p.1087-1099
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A nested Benders decomposition-based algorithm to solve the three-stage stochastic optimisation problem modeling population-based Breast Cancer Screening

Tine Meersman (UGent) , Broos Maenhout (UGent) and Koen Van Herck

(2023) EUROPEAN JOURNAL OF OPERATIONAL RESEARCH. 310(3). p.1273-1293
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Capturing complexity over space and time via deep learning : an application to real-time delay prediction in railways

Léon Sobrie (UGent) , Marijn Verschelde (UGent) , Veerle Hennebel and Bart Roets (UGent)

(2023) EUROPEAN JOURNAL OF OPERATIONAL RESEARCH. 310(3). p.1201-1217
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Multi-project scheduling : a benchmark analysis of metaheuristic algorithms on various optimisation criteria and due dates

Dries Bredael (UGent) and Mario Vanhoucke (UGent)

(2023) EUROPEAN JOURNAL OF OPERATIONAL RESEARCH. 308(1). p.54-75

Academic Bibliography

Features for the 0-1 knapsack problem based on inclusionwise maximal solutions

Multi-league sports scheduling with different leagues sizes

A classification and new benchmark instances for the multi-skilled resource-constrained project scheduling problem

A prediction model for ranking branch-and-bound procedures for the resource-constrained project scheduling problem

A shortfall modelling-based solution approach for stochastic cyclic inventory routing

The international timetabling competition on sports timetabling (ITC2021)

A pessimist’s approach to one-sided matching

A nested Benders decomposition-based algorithm to solve the three-stage stochastic optimisation problem modeling population-based Breast Cancer Screening

Capturing complexity over space and time via deep learning : an application to real-time delay prediction in railways

Multi-project scheduling : a benchmark analysis of metaheuristic algorithms on various optimisation criteria and due dates

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