Laurens Bliek - RankMe

34 papers Journal 24Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	End-to-end Deep Reinforcement Learning for Stochastic Multi-objective Optimization in C-VRPTW. Trans. Mach. Learn. Res. Abdo Abouelrous, Laurens Bliek, Yaoxin Wu, Yingqian Zhang
2026	J	`jnl`	Learning Active Constraints for Bilevel Optimization: Evaluating Classification Metrics on Real-World Distribution System Data. IEEE Trans. Smart Grid Lingkang Jin, Laurens Bliek, Nikolaos G. Paterakis
2025	J	`jnl`	End-to-end Deep Reinforcement Learning for Stochastic Multi-objective Optimization in C-VRPTW. CoRR Abdo Abouelrous, Laurens Bliek, Yaoxin Wu, Yingqian Zhang
2025	J	`jnl`	Enhancing Remaining Useful Life Prediction with Ensemble Multi-Term Fourier Graph Neural Networks. Trans. Mach. Learn. Res. Ya Song, Laurens Bliek, Yaoxin Wu, Yingqian Zhang
2025	—	`conf`	Geometrically Invariant and Equivariant Graph Neural Networks for TSP Algorithm Selection and Hardness Prediction. LION (1) Ya Song, Laurens Bliek, Yingqian Zhang
2025	J	`jnl`	Graph Reduction with Unsupervised Learning in Column Generation: A Routing Application. CoRR Abdo Abouelrous, Laurens Bliek, Adriana F. Gabor, Yaoxin Wu, Yingqian Zhang
2025	J	`jnl`	Reinforcement Learning for Solving the Pricing Problem in Column Generation: Applications to Vehicle Routing. CoRR Abdo Abouelrous, Laurens Bliek, Adriana F. Gabor, Yaoxin Wu, Yingqian Zhang
2025	—	`conf`	Revisit the Algorithm Selection Problem for TSP with Spatial Information Enhanced Graph Neural Networks. ICAART (3) Ya Song, Laurens Bliek, Yingqian Zhang
2024	J	`jnl`	Black-box optimization for anticipated baseband-function placement in 5G networks. Comput. Networks Ligia Maria Moreira Zorello, Laurens Bliek, Sebastian Troia, Guido Maier, Sicco Verwer
2024	—	`ch.`	Real-Time Data-Driven Maintenance Logistics: A Public-Private Collaboration. Commit2Data Willem van Jaarsveld, Alp Akçay, Laurens Bliek, Paulo da Costa, Mathijs de Weerdt, Rik Eshuis, Stella Kapodistria, Uzay Kaymak, Verus Pronk, Geert-Jan van Houtum, Peter Verleijsdonk, Sicco Verwer, Simon Voorberg, Yingqian Zhang
2023	J	`jnl`	Benchmarking surrogate-based optimisation algorithms on expensive black-box functions. Appl. Soft Comput. Laurens Bliek, Arthur Guijt, Rickard Karlsson, Sicco Verwer, Mathijs de Weerdt
2023	J	`jnl`	Digital Twin Applications in Urban Logistics: An Overview. CoRR Abdo Abouelrous, Laurens Bliek, Yingqian Zhang
2023	J	`jnl`	Revisit the Algorithm Selection Problem for TSP with Spatial Information Enhanced Graph Neural Networks. CoRR Ya Song, Laurens Bliek, Yingqian Zhang
2023	J	`jnl`	The first AI4TSP competition: Learning to solve stochastic routing problems. Artif. Intell. Yingqian Zhang, Laurens Bliek, Paulo da Costa, Reza Refaei Afshar, Robbert Reijnen, Tom Catshoek, Daniël Vos, Sicco Verwer, Fynn Schmitt-Ulms, André Hottung, Tapan Shah, Meinolf Sellmann, Kevin Tierney, Carl Perreault-Lafleur, Caroline Leboeuf, Federico Bobbio, Justine Pepin, Warley Almeida Silva, Ricardo Gama, Hugo L. Fernandes, Martin Zaefferer, Manuel López-Ibáñez, Ekhine Irurozki
2022	J	`jnl`	Baseband-Function Placement With Multi-Task Traffic Prediction for 5G Radio Access Networks. IEEE Trans. Netw. Serv. Manag. Ligia Maria Moreira Zorello, Laurens Bliek, Sebastian Troia, Tias Guns, Sicco Verwer, Guido Maier
2022	J	`jnl`	Learning Adaptive Evolutionary Computation for Solving Multi-Objective Optimization Problems. CoRR Remco Coppens, Robbert Reijnen, Yingqian Zhang, Laurens Bliek, Berend Steenhuisen
2022	J	`jnl`	Machine Learning for Combinatorial Optimisation of Partially-Specified Problems: Regret Minimisation as a Unifying Lens. CoRR Stefano Teso, Laurens Bliek, Andrea Borghesi, Michele Lombardi, Neil Yorke-Smith, Tias Guns, Andrea Passerini
2022	J	`jnl`	The First AI4TSP Competition: Learning to Solve Stochastic Routing Problems. CoRR Laurens Bliek, Paulo da Costa, Reza Refaei Afshar, Yingqian Zhang, Tom Catshoek, Daniël Vos, Sicco Verwer, Fynn Schmitt-Ulms, André Hottung, Tapan Shah, Meinolf Sellmann, Kevin Tierney, Carl Perreault-Lafleur, Caroline Leboeuf, Federico Bobbio, Justine Pepin, Warley Almeida Silva, Ricardo Gama, Hugo L. Fernandes, Martin Zaefferer, Manuel López-Ibáñez, Ekhine Irurozki
2021	J	`jnl`	Black-box combinatorial optimization using models with integer-valued minima. Ann. Math. Artif. Intell. Laurens Bliek, Sicco Verwer, Mathijs de Weerdt
2021	—	`conf`	Black-box mixed-variable optimisation using a surrogate model that satisfies integer constraints. GECCO Companion Laurens Bliek, Arthur Guijt, Sicco Verwer, Mathijs de Weerdt
2021	J	`jnl`	EXPObench: Benchmarking Surrogate-based Optimisation Algorithms on Expensive Black-box Functions. CoRR Laurens Bliek, Arthur Guijt, Rickard Karlsson, Sicco Verwer, Mathijs de Weerdt
2021	—	`conf`	Hospital simulation model optimisation with a random ReLU expansion surrogate model. GECCO Companion Laurens Bliek, Arthur Guijt, Rickard Karlsson
2021	—	`conf`	The EURO Meets NeurIPS 2022 Vehicle Routing Competition. NeurIPS (Competition and Demos) Wouter Kool, Laurens Bliek, Danilo Numeroso, Yingqian Zhang, Tom Catshoek, Kevin Tierney, Thibaut Vidal, Joaquim A. S. Gromicho
2020	J	`jnl`	Black-box Mixed-Variable Optimisation using a Surrogate Model that Satisfies Integer Constraints. CoRR Laurens Bliek, Sicco Verwer, Mathijs de Weerdt
2020	—	`conf`	Continuous Surrogate-Based Optimization Algorithms Are Well-Suited for Expensive Discrete Problems. BNAIC/BENELEARN (Selected Papers) Rickard Karlsson, Laurens Bliek, Sicco Verwer, Mathijs de Weerdt
2020	J	`jnl`	Continuous surrogate-based optimization algorithms are well-suited for expensive discrete problems. CoRR Rickard Karlsson, Laurens Bliek, Sicco Verwer, Mathijs de Weerdt
2020	—	`conf`	The Robust Malware Detection Challenge and Greedy Random Accelerated Multi-Bit Search. AISec@CCS Sicco Verwer, Azqa Nadeem, Christian A. Hammerschmidt, Laurens Bliek, Abdullah Al-Dujaili, Una-May O'Reilly
2019	—	`—`	Automatic tuning of photonic beamformers: A data-driven approach. Laurens Bliek
2019	J	`jnl`	Black-box Combinatorial Optimization using Models with Integer-valued Minima. CoRR Laurens Bliek, Sicco Verwer, Mathijs de Weerdt
2018	J	`jnl`	Online Optimization With Costly and Noisy Measurements Using Random Fourier Expansions. IEEE Trans. Neural Networks Learn. Syst. Laurens Bliek, Hans R. G. W. Verstraete, Michel Verhaegen, Sander Wahls
2017	—	`conf`	Online function minimization with convex random relu expansions. MLSP Laurens Bliek, Michel Verhaegen, Sander Wahls
2016	J	`jnl`	Online Optimization with Costly and Noisy Measurements using Random Fourier Expansions. CoRR Laurens Bliek, Hans R. G. W. Verstraete, Michel Verhaegen, Sander Wahls
2013	J	`jnl`	Exploration and Exploitation in Visuomotor Prediction of Autonomous Agents. CoRR Laurens Bliek
2013	J	`jnl`	Universal Approximation Using Randomly Local Linear Models. CoRR Laurens Bliek