Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Alexander Schiendorfer"'
Autor:
Simon Stieber, Niklas Schröter, Ewald Fauster, Marcel Bender, Alexander Schiendorfer, Wolfgang Reif
Carbon fiber reinforced polymers provide favorable properties such as weight-specific strength and stiffness that are central for certain industries, such as aerospace or automotive manufacturing. Liquid composite molding (LCM) is a family of often e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3ecf8125e80246ffb5c730b240f4aae5
https://doi.org/10.21203/rs.3.rs-2186337/v1
https://doi.org/10.21203/rs.3.rs-2186337/v1
Publikováno v:
Integration of Constraint Programming, Artificial Intelligence, and Operations Research ISBN: 9783031080104
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4aa4ee11e53f13feb19a3dc36bfbcb8e
https://doi.org/10.1007/978-3-031-08011-1_4
https://doi.org/10.1007/978-3-031-08011-1_4
Autor:
Oliver Kosak, Wolfgang Reif, Jonas Wilfert, Simon Stieber, Alexander Schiendorfer, Niklas Paprotta
Publikováno v:
ACSOS-C
To ease teaching self-organizing systems design, we implemented the AntNet routing algorithm for real-world application using educational robots called ActivityBot. Using line sensors and ultrasonic distance sensors, the robotic ants traverse a tiled
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3971910790b641d5efda897360a8e491
https://doi.org/10.1109/acsos-c52956.2021.00072
https://doi.org/10.1109/acsos-c52956.2021.00072
Publikováno v:
Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track ISBN: 9783030676667
ECML/PKDD (4)
ECML/PKDD (4)
Carbon fiber reinforced polymers (CFRP) are light yet strong composite materials designed to reduce the weight of aerospace or automotive components-contributing to reduced greenhouse gas emissions. Resin transfer molding (RTM) is a manufacturing pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5eeb43c2ffc006f5ad0ddd7beffa5c39
https://doi.org/10.1007/978-3-030-67667-4_25
https://doi.org/10.1007/978-3-030-67667-4_25
Autor:
Alexander Schiendorfer, Alwin Hoffmann, Simon Stieber, Jan Faber, Michaela Richter, Matthias Beyrle, Markus G. R. Sause, Wolfgang Reif
Publikováno v:
ETFA
Components made from carbon fiber reinforced plastics (CFRP) offer attractive stability properties for the automotive or aerospace industry despite their light weight. To automate CFRP production, resin transfer molding (RTM) based on thermoset plast
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f1ac434acdc3fef70db82f1b7151537b
https://doi.org/10.1109/etfa46521.2020.9212097
https://doi.org/10.1109/etfa46521.2020.9212097
Autor:
Siegfried Horn, Julia Krützmann, Sergej Beratz, Alexander Schiendorfer, Wolfgang Reif, Judith Moosburger-Will
Publikováno v:
Machine Learning, Optimization, and Data Science ISBN: 9783030645793
LOD (2)
LOD (2)
Carbon fiber reinforced polymers (CFRP) are lightweight but strong composite materials designed to reduce the weight of aerospace or automotive components - contributing to reduced greenhouse gas emissions. A common manufacturing process for carbon f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d4d1604ff1250d9e64d97e07965983f8
https://doi.org/10.1007/978-3-030-64580-9_6
https://doi.org/10.1007/978-3-030-64580-9_6
Publikováno v:
Constraints. 23:403-450
Over-constrained problems are ubiquitous in real-world decision and optimization problems. Plenty of modeling formalisms for various problem domains involving soft constraints have been proposed, such as weighted, fuzzy, or probabilistic constraints.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::79156697aff79be2425711718602bc5b
https://doi.org/10.1007/s10601-018-9289-2
https://doi.org/10.1007/s10601-018-9289-2
Publikováno v:
ICAART (2)
Scopus-Elsevier
Scopus-Elsevier
Many resource allocation problems are hard to solve even with state-of-the-art constraint optimisation software upon reaching a certain scale. Our approach to deal with this increasing complexity is to employ a hierarchical âregio-centralâ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c9d1f918e1c68265d484b73a1a8c9061
https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/53941
https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/53941
Publikováno v:
Machine Learning, Optimization, and Data Science ISBN: 9783030375980
LOD
LOD
Photovoltaic (PV) power forecasting is an important task preceding the scheduling of dispatchable power plants for the day-ahead market. Commercially available methods rely on conventional meteorological data and parameters to produce reliable predic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::63d8e4b1b026ccb060fbc79fb0aebe5b
https://doi.org/10.1007/978-3-030-37599-7_47
https://doi.org/10.1007/978-3-030-37599-7_47
Autor:
Wolfgang Reif, Alexander Schiendorfer
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030300470
CP
CP
Most distributed constraint optimization problems assume the overall objective function to be the “utilitarian social welfare”, i.e., a sum of several utility functions, belonging to different agents. This also holds for the most popular soft con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::02d35ecbd9a3dd825cc89339fc8575c0
https://doi.org/10.1007/978-3-030-30048-7_30
https://doi.org/10.1007/978-3-030-30048-7_30