Laurens Bliek

According to our database, Laurens Bliek authored at least 21 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Benchmarking surrogate-based optimisation algorithms on expensive black-box functions.

Laurens Bliek, Arthur Guijt, Rickard Karlsson, Sicco Verwer, Mathijs de Weerdt

Appl. Soft Comput., November, 2023

The first AI4TSP competition: Learning to solve stochastic routing problems.

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

Artif. Intell., June, 2023

Revisit the Algorithm Selection Problem for TSP with Spatial Information Enhanced Graph Neural Networks.

Ya Song, Laurens Bliek, Yingqian Zhang

CoRR, 2023

Digital Twin Applications in Urban Logistics: An Overview.

Abdo Abouelrous, Laurens Bliek, Yingqian Zhang

CoRR, 2023

2022

Baseband-Function Placement With Multi-Task Traffic Prediction for 5G Radio Access Networks.

Ligia Maria Moreira Zorello, Laurens Bliek, Sebastian Troia, Tias Guns, Sicco Verwer, Guido Maier

IEEE Trans. Netw. Serv. Manag., December, 2022

Learning Adaptive Evolutionary Computation for Solving Multi-Objective Optimization Problems.

Remco Coppens, Robbert Reijnen, Yingqian Zhang, Laurens Bliek, Berend Steenhuisen

CoRR, 2022

Machine Learning for Combinatorial Optimisation of Partially-Specified Problems: Regret Minimisation as a Unifying Lens.

Stefano Teso, Laurens Bliek, Andrea Borghesi, Michele Lombardi, Neil Yorke-Smith, Tias Guns, Andrea Passerini

CoRR, 2022

The First AI4TSP Competition: Learning to Solve Stochastic Routing Problems.

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

CoRR, 2022

2021

EXPObench: Benchmarking Surrogate-based Optimisation Algorithms on Expensive Black-box Functions.

Laurens Bliek, Arthur Guijt, Rickard Karlsson, Sicco Verwer, Mathijs de Weerdt

CoRR, 2021

Black-box combinatorial optimization using models with integer-valued minima.

Laurens Bliek, Sicco Verwer, Mathijs de Weerdt

Ann. Math. Artif. Intell., 2021

The EURO Meets NeurIPS 2022 Vehicle Routing Competition.

Wouter Kool, Laurens Bliek, Danilo Numeroso, Yingqian Zhang, Tom Catshoek, Kevin Tierney, Thibaut Vidal, Joaquim A. S. Gromicho

Proceedings of the NeurIPS 2022 Competition Track, 2021

Black-box mixed-variable optimisation using a surrogate model that satisfies integer constraints.

Laurens Bliek, Arthur Guijt, Sicco Verwer, Mathijs de Weerdt

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Hospital simulation model optimisation with a random ReLU expansion surrogate model.

Laurens Bliek, Arthur Guijt, Rickard Karlsson

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

2020

Black-box Mixed-Variable Optimisation using a Surrogate Model that Satisfies Integer Constraints.

Laurens Bliek, Sicco Verwer, Mathijs de Weerdt

CoRR, 2020

The Robust Malware Detection Challenge and Greedy Random Accelerated Multi-Bit Search.

Sicco Verwer, Azqa Nadeem, Christian A. Hammerschmidt, Laurens Bliek, Abdullah Al-Dujaili, Una-May O'Reilly

Proceedings of the AISec@CCS 2020: Proceedings of the 13th ACM Workshop on Artificial Intelligence and Security, 2020

Continuous Surrogate-Based Optimization Algorithms Are Well-Suited for Expensive Discrete Problems.

Rickard Karlsson, Laurens Bliek, Sicco Verwer, Mathijs de Weerdt

Proceedings of the Artificial Intelligence and Machine Learning - 32nd Benelux Conference, 2020

2019

Automatic tuning of photonic beamformers: A data-driven approach.

Laurens Bliek

PhD thesis, 2019

2018

Online Optimization With Costly and Noisy Measurements Using Random Fourier Expansions.

Laurens Bliek, Hans R. G. W. Verstraete, Michel Verhaegen, Sander Wahls

IEEE Trans. Neural Networks Learn. Syst., 2018

2017

Online function minimization with convex random relu expansions.

Laurens Bliek, Michel Verhaegen, Sander Wahls

Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017

2013

Exploration and Exploitation in Visuomotor Prediction of Autonomous Agents.

Laurens Bliek

CoRR, 2013

Universal Approximation Using Randomly Local Linear Models.

Laurens Bliek

CoRR, 2013