LION

Keyphrases

Publications

2023

George Watkins, Giovanni Montana, Jürgen Branke
Generating a Graph Colouring Heuristic with Deep Q-Learning and Graph Neural Networks. LION (2023)
Lilian Buzer, Tristan Cazenave
GPU for Monte Carlo Search. LION (2023)
Kazem Meidani, Igor Borovikov, Amir Barati Farimani, Harold Chaput
Inverse Lighting with Differentiable Physically-Based Model. LION (2023)
Raka Jovanovic, Sertac Bayhan, Stefan Voß
Matheuristic Fixed Set Search Applied to Electric Bus Fleet Scheduling. LION (2023)
Lars Nagel, Nikolay Popov, Tim Süß, Ze Wang
Analysis of Heuristics for Vector Scheduling and Vector Bin Packing. LION (2023)
Mohit Malu, Giulia Pedrielli, Gautam Dasarathy, Andreas Spanias
Class GP: Gaussian Process Modeling for Heterogeneous Functions. LION (2023)
Georgios I. Liapis, Lazaros G. Papageorgiou
Hyper-box Classification Model Using Mathematical Programming. LION (2023)
Hui Wang, Abdallah Saffidine, Tristan Cazenave
Towards Tackling MaxSAT by Combining Nested Monte Carlo with Local Search. LION (2023)
Andrea Ponti, Ilaria Giordani, Antonio Candelieri, Francesco Archetti
A Leak Localization Algorithm in Water Distribution Networks Using Probabilistic Leak Representation and Optimal Transport Distance. LION (2023)
Giovanni Bonetta, Davide Zago, Rossella Cancelliere, Andrea Grosso
Job Shop Scheduling via Deep Reinforcement Learning: A Sequence to Sequence Approach. LION (2023)
James Fitzpatrick, Deepak Ajwani, Paula Carroll
Learning to Prune Electric Vehicle Routing Problems. LION (2023)
Kunal Jain, Prabuchandran K. J., Tejas Bodas
Bayesian Optimization for Function Compositions with Applications to Dynamic Pricing. LION (2023)
Bo Tang, Elias B. Khalil
Multi-task Predict-then-Optimize. LION (2023)
Elisa Negrini, Giovanna Citti, Luca Capogna
Robust Neural Network Approach to System Identification in the High-Noise Regime. LION (2023)
Antonio Candelieri, Andrea Ponti, Francesco Archetti
Generative Models via Optimal Transport and Gaussian Processes. LION (2023)
Augustin Parjadis, Quentin Cappart, Quentin Massoteau, Louis-Martin Rousseau
Repositioning Fleet Vehicles: A Learning Pipeline. LION (2023)
Aymen Gannouni, Luis Felipe Casas Murillo, Marco Kemmerling, Anas Abdelrazeq, Robert H. Schmitt
Experimental Digital Twin for Job Shops with Transportation Agents. LION (2023)
Melinda Thielbar, Serdar Kadioglu, Chenhui Zhang, Rick Pack, Lukas Dannull
Surrogate Membership for Inferred Metrics in Fairness Evaluation. LION (2023)
Efthyvoulos Drousiotis, Alexander M. Phillips, Paul G. Spirakis, Simon Maskell
Bayesian Decision Trees Inspired from Evolutionary Algorithms. LION (2023)
Songhan Wong, Waldy Joe, Hoong Chuin Lau
Dynamic Police Patrol Scheduling with Multi-Agent Reinforcement Learning. LION (2023)
Konstantinos I. Chatzilygeroudis, Michael N. Vrahatis
Fast and Robust Constrained Optimization via Evolutionary and Quadratic Programming. LION (2023)
Thi Quynh Trang Vo, Mourad Baïou, Viet Hung Nguyen, Paul Weng
Improving Subtour Elimination Constraint Generation in Branch-and-Cut Algorithms for the TSP with Machine Learning. LION (2023)
Sasan Amini, Inneke Van Nieuwenhuyse
A Bayesian Optimization Algorithm for Constrained Simulation Optimization Problems with Heteroscedastic Noise. LION (2023)
Hugues Juillé, Renaud Dumeur, Paul Shaw
Heuristics Selection with ML in CP Optimizer. LION (2023)
Hongbin Zhu, YuXiao Xia, YunZhao Li, Wei Li, Kang Liu, Xianzhou Gao
Hierarchical Machine Unlearning. LION (2023)
Shudian Zhao, Calvin Tsay, Jan Kronqvist
Model-Based Feature Selection for Neural Networks: A Mixed-Integer Programming Approach. LION (2023)
Amirreza Farahani, M. A. H. van Elzakker, Laura Genga, Pavel Troubil, Remco M. Dijkman
Relational Graph Attention-Based Deep Reinforcement Learning: An Application to Flexible Job Shop Scheduling with Sequence-Dependent Setup Times. LION (2023)
Richárd Rádli, László Czúni
Deep Randomized Networks for Fast Learning. LION (2023)
Ambrogio Maria Bernardelli, Stefano Gualandi, Hoong Chuin Lau, Simone Milanesi
The BeMi Stardust: A Structured Ensemble of Binarized Neural Networks. LION (2023)
Julien Sentuc, Farah Ellouze, Jean-Yves Lucas, Tristan Cazenave
Learning the Bias Weights for Generalized Nested Rollout Policy Adaptation. LION (2023)
Britt Lukassen, Laura Genga, Yingqian Zhang
Discovering Explicit Scale-Up Criteria in Crisis Response with Decision Mining. LION (2023)
Antoine Bugnicourt, Riad Mokadem, Franck Morvan, Nadia Bebeshina
An Error-Based Measure for Concept Drift Detection and Characterization. LION (2023)
Aleksandra Petrova, Javier Larrosa
On Learning When to Decompose Graphical Models. LION (2023)
Marc-André Ménard, Michael Morin, Mohammed Khachan, Jonathan Gaudreault, Claude-Guy Quimper
Learn, Compare, Search: One Sawmill's Search for the Best Cutting Patterns Across and/or Trees. LION (2023)
Yoichiro Iida, Tomohiro Sonobe, Mary Inaba
Unleashing the Potential of Restart by Detecting the Search Stagnation. LION (2023)
Zahra Parham, Vi Tching de Lille, Quentin Cappart
Explaining the Behavior of Reinforcement Learning Agents Using Association Rules. LION (2023)
Uphar Singh, Deepak Gajjala, Rahamatullah Khondoker, Harshit Gupta, Ayush Sinha, O. P. Vyas
Anomaly Classification to Enable Self-healing in Cyber Physical Systems Using Process Mining. LION (2023)
Franck Lefebure, Cecile Thuault, Stéphane Cholet
Real-World Streaming Process Discovery from Low-Level Event Data. LION (2023)
Michael Römer, Felix Hagemann, Till Frederik Porrmann
Predict, Tune and Optimize for Data-Driven Shift Scheduling with Uncertain Demands. LION (2023)
Hernán Ceferino Vázquez, Jorge Sanchez, Rafael Carrascosa
Integrating Hyperparameter Search into Model-Free AutoML with Context-Free Grammars. LION (2023)

volume 14286, 2023

Learning and Intelligent Optimization - 17th International Conference, LION 17, Nice, France, June 4-8, 2023, Revised Selected Papers LION 14286 (2023)

2022

volume 13621, 2022

Learning and Intelligent Optimization - 16th International Conference, LION 2022, Milos Island, Greece, June 5-10, 2022, Revised Selected Papers LION 13621 (2022)