Table of Contents

• Anomaly Classification to Enable Self-healing in Cyber Physical Systems Using Process MiningUphar Singh, Deepak Gajjala, Rahamatullah Khondoker, Harshit Gupta, Ayush Sinha, O. P. Vyas 0001. 1-15 [doi]
• Hyper-box Classification Model Using Mathematical ProgrammingGeorgios I. Liapis, Lazaros G. Papageorgiou. 16-30 [doi]
• A Leak Localization Algorithm in Water Distribution Networks Using Probabilistic Leak Representation and Optimal Transport DistanceAndrea Ponti, Ilaria Giordani, Antonio Candelieri, Francesco Archetti. 31-45 [doi]
• Fast and Robust Constrained Optimization via Evolutionary and Quadratic ProgrammingKonstantinos I. Chatzilygeroudis, Michael N. Vrahatis. 46-61 [doi]
• Bayesian Optimization for Function Compositions with Applications to Dynamic PricingKunal Jain, Prabuchandran K. J., Tejas Bodas. 62-77 [doi]
• A Bayesian Optimization Algorithm for Constrained Simulation Optimization Problems with Heteroscedastic NoiseSasan Amini, Inneke Van Nieuwenhuyse. 78-91 [doi]
• Hierarchical Machine UnlearningHongbin Zhu, Yuxiao Xia, Yunzhao Li, Wei Li, Kang Liu, Xianzhou Gao. 92-106 [doi]
• Explaining the Behavior of Reinforcement Learning Agents Using Association RulesZahra Parham, Vi Tching de Lille, Quentin Cappart. 107-120 [doi]
• Deep Randomized Networks for Fast LearningRichárd Rádli, László Czúni. 121-134 [doi]
• Generative Models via Optimal Transport and Gaussian ProcessesAntonio Candelieri, Andrea Ponti, Francesco Archetti. 135-149 [doi]
• Real-World Streaming Process Discovery from Low-Level Event DataFranck Lefebure, Cecile Thuault, Stéphane Cholet. 150-164 [doi]
• Robust Neural Network Approach to System Identification in the High-Noise RegimeElisa Negrini, Giovanna Citti, Luca Capogna. 165-178 [doi]
• GPU for Monte Carlo SearchLilian Buzer, Tristan Cazenave. 179-193 [doi]
• Learning the Bias Weights for Generalized Nested Rollout Policy AdaptationJulien Sentuc, Farah Ellouze, Jean-Yves Lucas, Tristan Cazenave. 194-207 [doi]
• Heuristics Selection with ML in CP OptimizerHugues Juillé, Renaud Dumeur, Paul Shaw. 208-222 [doi]
• Model-Based Feature Selection for Neural Networks: A Mixed-Integer Programming ApproachShudian Zhao, Calvin Tsay, Jan Kronqvist. 223-238 [doi]
• An Error-Based Measure for Concept Drift Detection and CharacterizationAntoine Bugnicourt, Riad Mokadem, Franck Morvan, Nadia Bebeshina. 239-253 [doi]
• Predict, Tune and Optimize for Data-Driven Shift Scheduling with Uncertain DemandsMichael Römer, Felix Hagemann, Till Frederik Porrmann. 254-269 [doi]
• On Learning When to Decompose Graphical ModelsAleksandra Petrova, Javier Larrosa. 270-285 [doi]
• Inverse Lighting with Differentiable Physically-Based ModelKazem Meidani, Igor Borovikov, Amir Barati Farimani, Harold Chaput. 286-300 [doi]
• Repositioning Fleet Vehicles: A Learning PipelineAugustin Parjadis, Quentin Cappart, Quentin Massoteau, Louis-Martin Rousseau. 301-317 [doi]
• Bayesian Decision Trees Inspired from Evolutionary AlgorithmsEfthyvoulos Drousiotis, Alexander M. Phillips, Paul G. Spirakis, Simon Maskell. 318-331 [doi]
• Towards Tackling MaxSAT by Combining Nested Monte Carlo with Local SearchHui Wang, Abdallah Saffidine, Tristan Cazenave. 332-346 [doi]
• Relational Graph Attention-Based Deep Reinforcement Learning: An Application to Flexible Job Shop Scheduling with Sequence-Dependent Setup TimesAmirreza Farahani, M. A. H. van Elzakker, Laura Genga, Pavel Troubil, Remco M. Dijkman. 347-362 [doi]
• Experimental Digital Twin for Job Shops with Transportation AgentsAymen Gannouni, Luis Felipe Casas Murillo, Marco Kemmerling, Anas Abdelrazeq, Robert H. Schmitt. 363-377 [doi]
• Learning to Prune Electric Vehicle Routing ProblemsJames Fitzpatrick, Deepak Ajwani, Paula Carroll. 378-392 [doi]
• Matheuristic Fixed Set Search Applied to Electric Bus Fleet SchedulingRaka Jovanovic, Sertac Bayhan, Stefan Voß. 393-407 [doi]
• Class GP: Gaussian Process Modeling for Heterogeneous FunctionsMohit Malu, Giulia Pedrielli, Gautam Dasarathy, Andreas Spanias. 408-423 [doi]
• Surrogate Membership for Inferred Metrics in Fairness EvaluationMelinda Thielbar, Serdar Kadioglu, Chenhui Zhang, Rick Pack, Lukas Dannull. 424-442 [doi]
• The BeMi Stardust: A Structured Ensemble of Binarized Neural NetworksAmbrogio Maria Bernardelli, Stefano Gualandi, Hoong Chuin Lau, Simone Milanesi. 443-458 [doi]
• Discovering Explicit Scale-Up Criteria in Crisis Response with Decision MiningBritt Lukassen, Laura Genga, Yingqian Zhang 0001. 459-474 [doi]
• Job Shop Scheduling via Deep Reinforcement Learning: A Sequence to Sequence ApproachGiovanni Bonetta, Davide Zago, Rossella Cancelliere, Andrea Grosso. 475-490 [doi]
• Generating a Graph Colouring Heuristic with Deep Q-Learning and Graph Neural NetworksGeorge Watkins, Giovanni Montana, Jürgen Branke. 491-505 [doi]
• Multi-task Predict-then-OptimizeBo Tang 0017, Elias B. Khalil. 506-522 [doi]
• Integrating Hyperparameter Search into Model-Free AutoML with Context-Free GrammarsHernán Ceferino Vázquez, Jorge Sanchez, Rafael Carrascosa. 523-536 [doi]
• Improving Subtour Elimination Constraint Generation in Branch-and-Cut Algorithms for the TSP with Machine LearningThi Quynh Trang Vo, Mourad Baïou, Viet Hung Nguyen, Paul Weng. 537-551 [doi]
• Learn, Compare, Search: One Sawmill's Search for the Best Cutting Patterns Across and/or TreesMarc-André Ménard, Michael Morin, Mohammed Khachan, Jonathan Gaudreault, Claude-Guy Quimper. 552-566 [doi]
• Dynamic Police Patrol Scheduling with Multi-Agent Reinforcement LearningSonghan Wong, Waldy Joe, Hoong Chuin Lau. 567-582 [doi]
• Analysis of Heuristics for Vector Scheduling and Vector Bin PackingLars Nagel 0001, Nikolay Popov, Tim Süß, Ze Wang. 583-598 [doi]
• Unleashing the Potential of Restart by Detecting the Search StagnationYoichiro Iida, Tomohiro Sonobe, Mary Inaba. 599-613 [doi]