Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Thevapalan, Andre"'
Publikováno v:
EPTCS 385, 2023, pp. 116-128
Answer set programs in practice are often subject to change. This can lead to inconsistencies in the modified program due to conflicts between rules which are the results of the derivation of strongly complementary literals. To facilitate the mainten
Externí odkaz:
http://arxiv.org/abs/2308.15889
Answer set programs used in real-world applications often require that the program is usable with different input data. This, however, can often lead to contradictory statements and consequently to an inconsistent program. Causes for potential contra
Externí odkaz:
http://arxiv.org/abs/2208.08157
Autor:
Kaiser, Pascal, Thevapalan, Andre, Reining, Christopher, Roidl, Moritz, Kern-Isberner, Gabriele, Hompel, Michael ten
Publikováno v:
In Procedia CIRP 2022 107:1305-1310
Autor:
Kaiser, Pascal, Thevapalan, Andre, Roidl, Moritz, Kern-Isberner, Gabriele, Wilhelm, Marco, Herberger, David, Hübner, Marco, Stich, Volker
Publikováno v:
Proceedings of the Conference on Production Systems and Logistics: CPSL 2023-1
A minimum requirement of feasible order picking layouts is the accessibility of every storage location. Obeying only this requirement typically leads to a vast amount of different layouts that are theoretically possible. Being able to generate all of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bceed0baf3917964945e5b15bef036ef
https://www.repo.uni-hannover.de/handle/123456789/13590
https://www.repo.uni-hannover.de/handle/123456789/13590
Publikováno v:
Theory & Practice of Logic Programming; Sep2023, Vol. 23 Issue 5, p1094-1127, 34p
Autor:
THEVAPALAN, Andre, APELDOORN, Daan, KERN-ISBERNER, Gabriele, MEYER, Ralf G., NIETZKE, Mathias, PANHOLZER, Torsten
Publikováno v:
Studies in Health Technology & Informatics; 2023, Vol. 307, p161-171, 11p, 3 Diagrams, 1 Chart
Autor:
Kaiser, Pascal, Thevapalan, Andre, Reining, Christopher, Kern-Isberner, Gabriele, ten Hompel, Michael
Volume 2021, Issue 17
Generating highly constrained warehouse layouts is a challenging task for layout planners. Those experts create feasible layouts analytically based on their knowledge and experience. The presented paper proposes an AI-based
Generating highly constrained warehouse layouts is a challenging task for layout planners. Those experts create feasible layouts analytically based on their knowledge and experience. The presented paper proposes an AI-based
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bfc06321d5dee656c07b7b394b02b2f7