Published in: LIPIcs, Volume 298, 36th Euromicro Conference on Real-Time Systems (ECRTS 2024)
Francesco Paladino, Alessandro Biondi, Enrico Bini, and Paolo Pazzaglia. Optimizing Per-Core Priorities to Minimize End-To-End Latencies. In 36th Euromicro Conference on Real-Time Systems (ECRTS 2024). Leibniz International Proceedings in Informatics (LIPIcs), Volume 298, pp. 6:1-6:25, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)
@InProceedings{paladino_et_al:LIPIcs.ECRTS.2024.6, author = {Paladino, Francesco and Biondi, Alessandro and Bini, Enrico and Pazzaglia, Paolo}, title = {{Optimizing Per-Core Priorities to Minimize End-To-End Latencies}}, booktitle = {36th Euromicro Conference on Real-Time Systems (ECRTS 2024)}, pages = {6:1--6:25}, series = {Leibniz International Proceedings in Informatics (LIPIcs)}, ISBN = {978-3-95977-324-9}, ISSN = {1868-8969}, year = {2024}, volume = {298}, editor = {Pellizzoni, Rodolfo}, publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik}, address = {Dagstuhl, Germany}, URL = {https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ECRTS.2024.6}, URN = {urn:nbn:de:0030-drops-203094}, doi = {10.4230/LIPIcs.ECRTS.2024.6}, annote = {Keywords: Cause-Effect Chains, Logical Execution Time, End-to-End Latency, Design Optimization, Task Priorities, Data Age, Reaction Time} }
Published in: Dagstuhl Manifestos, Volume 10, Issue 1 (2024)
James P. Delgrande, Birte Glimm, Thomas Meyer, Miroslaw Truszczynski, and Frank Wolter. Current and Future Challenges in Knowledge Representation and Reasoning (Dagstuhl Perspectives Workshop 22282). In Dagstuhl Manifestos, Volume 10, Issue 1, pp. 1-61, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)
@Article{delgrande_et_al:DagMan.10.1.1, author = {Delgrande, James P. and Glimm, Birte and Meyer, Thomas and Truszczynski, Miroslaw and Wolter, Frank}, title = {{Current and Future Challenges in Knowledge Representation and Reasoning (Dagstuhl Perspectives Workshop 22282)}}, pages = {1--61}, journal = {Dagstuhl Manifestos}, ISSN = {2193-2433}, year = {2024}, volume = {10}, number = {1}, editor = {Delgrande, James P. and Glimm, Birte and Meyer, Thomas and Truszczynski, Miroslaw and Wolter, Frank}, publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik}, address = {Dagstuhl, Germany}, URL = {https://drops.dagstuhl.de/entities/document/10.4230/DagMan.10.1.1}, URN = {urn:nbn:de:0030-drops-201403}, doi = {10.4230/DagMan.10.1.1}, annote = {Keywords: Knowledge representation and reasoning, Applications of logics, Declarative representations, Formal logic} }
Published in: LIPIcs, Volume 210, 27th International Conference on Principles and Practice of Constraint Programming (CP 2021)
Valentin Antuori, Emmanuel Hebrard, Marie-José Huguet, Siham Essodaigui, and Alain Nguyen. Combining Monte Carlo Tree Search and Depth First Search Methods for a Car Manufacturing Workshop Scheduling Problem. In 27th International Conference on Principles and Practice of Constraint Programming (CP 2021). Leibniz International Proceedings in Informatics (LIPIcs), Volume 210, pp. 14:1-14:16, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)
@InProceedings{antuori_et_al:LIPIcs.CP.2021.14, author = {Antuori, Valentin and Hebrard, Emmanuel and Huguet, Marie-Jos\'{e} and Essodaigui, Siham and Nguyen, Alain}, title = {{Combining Monte Carlo Tree Search and Depth First Search Methods for a Car Manufacturing Workshop Scheduling Problem}}, booktitle = {27th International Conference on Principles and Practice of Constraint Programming (CP 2021)}, pages = {14:1--14:16}, series = {Leibniz International Proceedings in Informatics (LIPIcs)}, ISBN = {978-3-95977-211-2}, ISSN = {1868-8969}, year = {2021}, volume = {210}, editor = {Michel, Laurent D.}, publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik}, address = {Dagstuhl, Germany}, URL = {https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.CP.2021.14}, URN = {urn:nbn:de:0030-drops-153052}, doi = {10.4230/LIPIcs.CP.2021.14}, annote = {Keywords: Monte-Carlo Tree Search, Travelling Salesman Problem, Scheduling} }