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Wim Nuijten
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2020 – today
- 2026
[c13]Minshuo Li, Yaoxin Wu, Pavel Troubil, Yingqian Zhang, Wim P. M. Nuijten:
Towards Solving Polynomial-Objective Integer Programming with Hypergraph Neural Networks. CPAIOR 2026: 297-313
[i6]Minshuo Li, Yaoxin Wu, Pavel Troubil, Yingqian Zhang, Wim P. M. Nuijten:
Towards Solving Polynomial-Objective Integer Programming with Hypergraph Neural Networks. CoRR abs/2603.19318 (2026)- 2025
[j8]Igor G. Smit
, Jianan Zhou, Robbert Reijnen
, Yaoxin Wu
, Jian Chen
, Cong Zhang, Zaharah Bukhsh, Yingqian Zhang
, Wim Nuijten:
Graph neural networks for job shop scheduling problems: A survey. Comput. Oper. Res. 176: 106914 (2025)
[c12]Igor G. Smit
, Yaoxin Wu, Pavel Troubil, Yingqian Zhang
, Wim P. M. Nuijten:
Neural Combinatorial Optimization for Stochastic Flexible Job Shop Scheduling Problems. AAAI 2025: 26678-26687
[c11]Thijs Overmeer, Tim Janssen, Wim Nuijten:
Revisiting Expected Possession Value in Football: Introducing a U-Net Architecture, Reward and Risk for Passes, and a Benchmark. icSPORTS 2025: 100-109
[c10]Bram Biemans, Pavel Troubil, Isel Grau
, Wim P. M. Nuijten:
Explainable Optimization: Leveraging Large Language Models for User-Friendly Explanations. xAI (3) 2025: 44-67
[i5]Thijs Overmeer, Tim Janssen, Wim P. M. Nuijten:
Revisiting Expected Possession Value in Football: Introducing a Benchmark, U-Net Architecture, and Reward and Risk for Passes. CoRR abs/2502.02565 (2025)
[i4]Riccardo Lo Bianco
, Remco M. Dijkman, Wim Nuijten, Willem van Jaarsveld:
A Universal Approach to Feature Representation in Dynamic Task Assignment Problems. CoRR abs/2507.03579 (2025)- 2024
[c9]Riccardo Lo Bianco, Remco M. Dijkman, Wim Nuijten, Willem van Jaarsveld:
A Universal Approach to Feature Representation in Dynamic Task Assignment Problems. BPM (Forum) 2024: 197-213
[i3]Igor G. Smit, Jianan Zhou, Robbert Reijnen, Yaoxin Wu, Jian Chen
, Cong Zhang, Zaharah Bukhsh, Wim Nuijten, Yingqian Zhang
:
Graph Neural Networks for Job Shop Scheduling Problems: A Survey. CoRR abs/2406.14096 (2024)
[i2]Igor G. Smit, Yaoxin Wu, Pavel Troubil, Yingqian Zhang, Wim P. M. Nuijten:
Neural Combinatorial Optimization for Stochastic Flexible Job Shop Scheduling Problems. CoRR abs/2412.14052 (2024)- 2023
[c8]Riccardo Lo Bianco
, Remco M. Dijkman, Wim Nuijten, Willem van Jaarsveld
:
Action-Evolution Petri Nets: A Framework for Modeling and Solving Dynamic Task Assignment Problems. BPM 2023: 216-231
[i1]Riccardo Lo Bianco, Remco M. Dijkman, Wim Nuijten, Willem van Jaarsveld:
Action-Evolution Petri Nets: a Framework for Modeling and Solving Dynamic Task Assignment Problems. CoRR abs/2306.02910 (2023)- 2021
[c7]Aleksei Karetnikov, Wim Nuijten, Marwan Hassani
:
Data-driven Support of Coaches in Professional Cycling using Race Performance Prediction. icSPORTS 2021: 43-53- 2020
[c6]Robbert Reijnen
, Yingqian Zhang
, Wim Nuijten, Çaglar Senaras
, Mariana Goldak-Altgassen:
Combining Deep Reinforcement Learning with Search Heuristics for Solving Multi-Agent Path Finding in Segment-based Layouts. SSCI 2020: 2647-2654
2010 – 2019
- 2017
[j7]Dori van Hulst, Dick den Hertog, Wim Nuijten:
Robust shift generation in workforce planning. Comput. Manag. Sci. 14(1): 115-134 (2017)
[j6]Maikel L. van Eck, Murat Firat, Wim P. M. Nuijten, Natalia Sidorova, Wil M. P. van der Aalst
:
Human Performance-Aware Scheduling and Routing of a Multi-Skilled Workforce. Complex Syst. Informatics Model. Q. 12: 1-21 (2017)- 2014
[j5]Maryam SteadieSeifi, Nico P. Dellaert
, Wim Nuijten, Tom Van Woensel
, Rasa Raoufi:
Multimodal freight transportation planning: A literature review. Eur. J. Oper. Res. 233(1): 1-15 (2014)
2000 – 2009
- 2006
[r1]Philippe Baptiste, Philippe Laborie, Claude Le Pape, Wim Nuijten:
Constraint-Based Scheduling and Planning. Handbook of Constraint Programming 2006: 761-799- 2005
[c5]Daniel Godard, Philippe Laborie, Wim Nuijten:
Randomized Large Neighborhood Search for Cumulative Scheduling. ICAPS 2005: 81-89
[c4]Thomas Bousonville, Filippo Focacci, Claude Le Pape, Wim Nuijten, Frederic Paulin, Jean-Francois Puget, Anna Robert, Alireza Sadeghin:
Integration of Rules and Optimization in Plant PowerOps. CPAIOR 2005: 1-15- 2000
[j4]Francis Sourd, Wim Nuijten:
Multiple-Machine Lower Bounds for Shop-Scheduling Problems. INFORMS J. Comput. 12(4): 341-352 (2000)
[c3]Filippo Focacci, Philippe Laborie, Wim Nuijten:
Solving Scheduling Problems with Setup Times and Alternative Resources. AIPS 2000: 92-101
1990 – 1999
- 1999
[j3]Philippe Baptiste, Claude Le Pape, Wim Nuijten:
Satisfiability tests and time‐bound adjustmentsfor cumulative scheduling problems. Ann. Oper. Res. 92: 305-333 (1999)
[c2]Pascal Van Hentenryck, Laurent Michel, Philippe Laborie, Wim Nuijten, Jerome Rogerie:
Combinatorial Optimization in OPL Studio. EPIA 1999: 1-15- 1998
[j2]Wim Nuijten, Claude Le Pape:
Constraint-Based Job Shop Scheduling with \sc Ilog Scheduler. J. Heuristics 3(4): 271-286 (1998)- 1995
[j1]A. E. Eiben, Emile H. L. Aarts, Kees M. van Hee
, W. P. M. Nuijten:
A unifying approach to heuristic search. Ann. Oper. Res. 55(1): 81-99 (1995)- 1994
[c1]W. P. M. Nuijten, Emile H. L. Aarts:
Constraint Satisfaction for Multiple Capacitated Job Shop Scheduling. ECAI 1994: 635-639
Coauthor Index

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last updated on 2026-07-28 00:44 CEST by the dblp team
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