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pro vyhledávání: '"Huisman, Bob"'
In between transportation services, trains are parked and maintained at shunting yards. The conflict-free routing of trains to and on these yards and the scheduling of service and maintenance tasks is known as the train unit shunting and service prob
Externí odkaz:
http://arxiv.org/abs/2006.10422
Publikováno v:
In Artificial Intelligence September 2014 214:26-44
In this paper we consider the train unit shunting problem extended with service task scheduling. This problem originates from Dutch Railways, which is the main railway operator in the Netherlands. Its urgency stems from the upcoming expansion of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::43e60659afcd58f8c6a1226ca389511a
https://dspace.library.uu.nl/handle/1874/417872
https://dspace.library.uu.nl/handle/1874/417872
Akademický článek
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Autor:
Van Der Linden, Jacobus G.M., Mulderij, Jesse, Huisman, Bob, Den Ouden, Joris W., Van Den Akker, Marjan, Hoogeveen, Han, De Weerdt, Mathijs M., Sub Algorithmic Data Analysis, Sub Algorithms and Complexity, Sub Simulation of Complex Systems, Algorithms and Complexity
Publikováno v:
20th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2021, 3, 1773. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)
When trains are finished with their transportation tasks during the day, they are moved to a shunting yard where they are routed, parked, cleaned, subject to regular maintenance checks and repaired during the night. The resulting Train Unit Shunting
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=narcis______::375a518b9880ecf1b43de5bfed02eafb
https://dspace.library.uu.nl/handle/1874/416477
https://dspace.library.uu.nl/handle/1874/416477
Autor:
Peer, E., Zhang, Y., Menkovski, V., Lee, Wan-Jui, Huisman, Bob, Atzmueller, M., Duivesteijn, W.
Publikováno v:
30th Benelux Conference on Artificial Intelligence, 175-176
STARTPAGE=175;ENDPAGE=176;TITLE=30th Benelux Conference on Artificial Intelligence
STARTPAGE=175;ENDPAGE=176;TITLE=30th Benelux Conference on Artificial Intelligence
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=narcis______::685c24938d368d79e615ca2b6079447a
https://research.tue.nl/nl/publications/027395e1-762f-484d-b824-e146cfcff3ca
https://research.tue.nl/nl/publications/027395e1-762f-484d-b824-e146cfcff3ca
Scenario planning is a method for learning about the future by understanding the nature and impact of the most uncertain and important driving forces affecting that future. However, most scenarios, being mostly stories, lack validation, dynamism and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::ea29f36f74a4f05508c109f32cf5b112
https://dspace.library.uu.nl/handle/1874/31235
https://dspace.library.uu.nl/handle/1874/31235
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
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Publikováno v:
2012 IEEE/WIC/ACM International Conferences on Web Intelligence & Intelligent Agent Technology; 2012, Vol. 2, p196-203, 8p