Heuristics Selection with ML in CP Optimizer (Englisch)
- Neue Suche nach: Juillé, Hugues
- Neue Suche nach: Dumeur, Renaud
- Neue Suche nach: Shaw, Paul
- Neue Suche nach: Sellmann, Meinolf
- Neue Suche nach: Tierney, Kevin
- Weitere Informationen zu Tierney, Kevin:
- https://orcid.org/https://orcid.org/0000-0002-5931-4907
- Neue Suche nach: Juillé, Hugues
- Neue Suche nach: Dumeur, Renaud
- Neue Suche nach: Shaw, Paul
In:
Learning and Intelligent Optimization
: 17th International Conference, LION 17, Nice, France, June 4–8, 2023, Revised Selected Papers
;
Kapitel: 15
;
208-222
;
2023
- Aufsatz/Kapitel (Buch) / Elektronische Ressource
-
Titel:Heuristics Selection with ML in CP Optimizer
-
Weitere Titelangaben:Lect.Notes Computer
-
Beteiligte:Sellmann, Meinolf ( Herausgeber:in ) / Tierney, Kevin ( Herausgeber:in ) / Juillé, Hugues ( Autor:in ) / Dumeur, Renaud ( Autor:in ) / Shaw, Paul ( Autor:in )
-
Kongress:International Conference on Learning and Intelligent Optimization ; 2023 ; Nice, France
-
Erschienen in:Learning and Intelligent Optimization : 17th International Conference, LION 17, Nice, France, June 4–8, 2023, Revised Selected Papers ; Kapitel: 15 ; 208-222Lecture Notes in Computer Science ; 14286 ; 208-222
-
Verlag:
- Neue Suche nach: Springer International Publishing
-
Erscheinungsort:Cham
-
Erscheinungsdatum:25.10.2023
-
Format / Umfang:15 pages
-
ISBN:
-
ISSN:
-
DOI:
-
Medientyp:Aufsatz/Kapitel (Buch)
-
Format:Elektronische Ressource
-
Sprache:Englisch
-
Schlagwörter:
-
Datenquelle:
Inhaltsverzeichnis E-Book
Die Inhaltsverzeichnisse werden automatisch erzeugt und basieren auf den im Index des TIB-Portals verfügbaren Einzelnachweisen der enthaltenen Beiträge. Die Anzeige der Inhaltsverzeichnisse kann daher unvollständig oder lückenhaft sein.
- 1
-
Anomaly Classification to Enable Self-healing in Cyber Physical Systems Using Process MiningSingh, Uphar / Gajjala, Deepak / Khondoker, Rahamatullah / Gupta, Harshit / Sinha, Ayush / Vyas, O. P. et al. | 2023
- 2
-
Hyper-box Classification Model Using Mathematical ProgrammingLiapis, Georgios I. / Papageorgiou, Lazaros G. et al. | 2023
- 3
-
A Leak Localization Algorithm in Water Distribution Networks Using Probabilistic Leak Representation and Optimal Transport DistancePonti, Andrea / Giordani, Ilaria / Candelieri, Antonio / Archetti, Francesco et al. | 2023
- 4
-
Fast and Robust Constrained Optimization via Evolutionary and Quadratic ProgrammingChatzilygeroudis, Konstantinos I. / Vrahatis, Michael N. et al. | 2023
- 5
-
Bayesian Optimization for Function Compositions with Applications to Dynamic PricingJain, Kunal / Prabuchandran, K. J. / Bodas, Tejas et al. | 2023
- 6
-
A Bayesian Optimization Algorithm for Constrained Simulation Optimization Problems with Heteroscedastic NoiseAmini, Sasan / Van Nieuwenhuyse, Inneke et al. | 2023
- 7
-
Hierarchical Machine UnlearningZhu, HongBin / Xia, YuXiao / Li, YunZhao / Li, Wei / Liu, Kang / Gao, Xianzhou et al. | 2023
- 8
-
Explaining the Behavior of Reinforcement Learning Agents Using Association RulesParham, Zahra / de Lille, Vi Tching / Cappart, Quentin et al. | 2023
- 9
-
Deep Randomized Networks for Fast LearningRádli, Richárd / Czúni, László et al. | 2023
- 10
-
Generative Models via Optimal Transport and Gaussian ProcessesCandelieri, Antonio / Ponti, Andrea / Archetti, Francesco et al. | 2023
- 11
-
Real-World Streaming Process Discovery from Low-Level Event DataLefebure, Franck / Thuault, Cecile / Cholet, Stephane et al. | 2023
- 12
-
Robust Neural Network Approach to System Identification in the High-Noise RegimeNegrini, Elisa / Citti, Giovanna / Capogna, Luca et al. | 2023
- 13
-
GPU for Monte Carlo SearchBuzer, Lilian / Cazenave, Tristan et al. | 2023
- 14
-
Learning the Bias Weights for Generalized Nested Rollout Policy AdaptationSentuc, Julien / Ellouze, Farah / Lucas, Jean-Yves / Cazenave, Tristan et al. | 2023
- 15
-
Heuristics Selection with ML in CP OptimizerJuillé, Hugues / Dumeur, Renaud / Shaw, Paul et al. | 2023
- 16
-
Model-Based Feature Selection for Neural Networks: A Mixed-Integer Programming ApproachZhao, Shudian / Tsay, Calvin / Kronqvist, Jan et al. | 2023
- 17
-
An Error-Based Measure for Concept Drift Detection and CharacterizationBugnicourt, Antoine / Mokadem, Riad / Morvan, Franck / Bebeshina, Nadia et al. | 2023
- 18
-
Predict, Tune and Optimize for Data-Driven Shift Scheduling with Uncertain DemandsRömer, Michael / Hagemann, Felix / Porrmann, Till Frederik et al. | 2023
- 19
-
On Learning When to Decompose Graphical ModelsPetrova, Aleksandra / Larrosa, Javier et al. | 2023
- 20
-
Inverse Lighting with Differentiable Physically-Based ModelMeidani, Kazem / Borovikov, Igor / Barati Farimani, Amir / Chaput, Harold et al. | 2023
- 21
-
Repositioning Fleet Vehicles: A Learning PipelineParjadis, Augustin / Cappart, Quentin / Massoteau, Quentin / Rousseau, Louis-Martin et al. | 2023
- 22
-
Bayesian Decision Trees Inspired from Evolutionary AlgorithmsDrousiotis, Efthyvoulos / Phillips, Alexander M. / Spirakis, Paul G. / Maskell, Simon et al. | 2023
- 23
-
Towards Tackling MaxSAT by Combining Nested Monte Carlo with Local SearchWang, Hui / Saffidine, Abdallah / Cazenave, Tristan et al. | 2023
- 24
-
Relational Graph Attention-Based Deep Reinforcement Learning: An Application to Flexible Job Shop Scheduling with Sequence-Dependent Setup TimesFarahani, Amirreza / Van Elzakker, Martijn / Genga, Laura / Troubil, Pavel / Dijkman, Remco et al. | 2023
- 25
-
Experimental Digital Twin for Job Shops with Transportation AgentsGannouni, Aymen / Casas Murillo, Luis Felipe / Kemmerling, Marco / Abdelrazeq, Anas / Schmitt, Robert H. et al. | 2023
- 26
-
Learning to Prune Electric Vehicle Routing ProblemsFitzpatrick, James / Ajwani, Deepak / Carroll, Paula et al. | 2023
- 27
-
Matheuristic Fixed Set Search Applied to Electric Bus Fleet SchedulingJovanovic, Raka / Bayhan, Sertac / Voß, Stefan et al. | 2023
- 28
-
Class GP: Gaussian Process Modeling for Heterogeneous FunctionsMalu, Mohit / Pedrielli, Giulia / Dasarathy, Gautam / Spanias, Andreas et al. | 2023
- 29
-
Surrogate Membership for Inferred Metrics in Fairness EvaluationThielbar, Melinda / Kadıoğlu, Serdar / Zhang, Chenhui / Pack, Rick / Dannull, Lukas et al. | 2023
- 30
-
The BeMi Stardust: A Structured Ensemble of Binarized Neural NetworksBernardelli, Ambrogio Maria / Gualandi, Stefano / Lau, Hoong Chuin / Milanesi, Simone et al. | 2023
- 31
-
Discovering Explicit Scale-Up Criteria in Crisis Response with Decision MiningLukassen, Britt / Genga, Laura / Zhang, Yingqian et al. | 2023
- 32
-
Job Shop Scheduling via Deep Reinforcement Learning: A Sequence to Sequence ApproachBonetta, Giovanni / Zago, Davide / Cancelliere, Rossella / Grosso, Andrea et al. | 2023
- 33
-
Generating a Graph Colouring Heuristic with Deep Q-Learning and Graph Neural NetworksWatkins, George / Montana, Giovanni / Branke, Juergen et al. | 2023
- 34
-
Multi-task Predict-then-OptimizeTang, Bo / Khalil, Elias B. et al. | 2023
- 35
-
Integrating Hyperparameter Search into Model-Free AutoML with Context-Free GrammarsVázquez, Hernán Ceferino / Sanchez, Jorge / Carrascosa, Rafael et al. | 2023
- 36
-
Improving Subtour Elimination Constraint Generation in Branch-and-Cut Algorithms for the TSP with Machine LearningVo, Thi Quynh Trang / Baiou, Mourad / Nguyen, Viet Hung / Weng, Paul et al. | 2023
- 37
-
Learn, Compare, Search: One Sawmill’s Search for the Best Cutting Patterns Across and/or TreesMénard, Marc-André / Morin, Michael / Khachan, Mohammed / Gaudreault, Jonathan / Quimper, Claude-Guy et al. | 2023
- 38
-
Dynamic Police Patrol Scheduling with Multi-Agent Reinforcement LearningWong, Songhan / Joe, Waldy / Lau, Hoong Chuin et al. | 2023
- 39
-
Analysis of Heuristics for Vector Scheduling and Vector Bin PackingNagel, Lars / Popov, Nikolay / Süß, Tim / Wang, Ze et al. | 2023
- 40
-
Unleashing the Potential of Restart by Detecting the Search StagnationIida, Yoichiro / Sonobe, Tomohiro / Inaba, Mary et al. | 2023