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pro vyhledávání: '"Lovis Anderson"'
A decision support system relies on frequent re-solving of similar problem instances. While the general structure remains the same in corresponding applications, the input parameters are updated on a regular basis. We propose a generative neural netw
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8e87080a73a6e22a18eba78376c5d2aa
https://depositonce.tu-berlin.de/handle/11303/17055
https://depositonce.tu-berlin.de/handle/11303/17055
Compressor stations are the heart of every high-pressure gas transport network. Located at intersection areas of the network, they are contained in huge complex plants, where they are in combination with valves and regulators responsible for routing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b73b9c827fac259f5dfe5f1338302bc4
Autor:
Lovis Anderson, Benjamin Hiller
Publikováno v:
Operations Research Proceedings ISBN: 9783030184995
Optimization models often feature disjunctions of polytopes as submodels. Such a disjunctive set is initially (at best) relaxed to its convex hull, which is then refined by branching. To measure the error of the convex relaxation, the (relative) diff
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ef174c426d8a6b7ee862eb96f5beafb3
https://doi.org/10.1007/978-3-030-18500-8_12
https://doi.org/10.1007/978-3-030-18500-8_12