Zobrazeno 1 - 10
of 64
pro vyhledávání: '"Frauke Liers"'
Autor:
Neele Leithäuser, Dennis Adelhütte, Kristin Braun, Christina Büsing, Martin Comis, Timo Gersing, Sebastian Johann, Arie M. C. A. Koster, Sven O. Krumke, Frauke Liers, Eva Schmidt, Johanna Schneider, Manuel Streicher, Sebastian Tschuppik, Sophia Wrede
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 22, Iss 1, Pp 1-20 (2022)
Abstract Background The healthcare sector poses many strategic, tactic and operational planning questions. Due to the historically grown structures, planning is often locally confined and much optimization potential is foregone. Methods We implemente
Externí odkaz:
https://doaj.org/article/6293215406964ab58a0ad0d2bf7b23bb
Autor:
Uwe Frank, Jana Dienstbier, Florentin Tischer, Simon E. Wawra, Lukas Gromotka, Johannes Walter, Frauke Liers, Wolfgang Peukert
Publikováno v:
Separations, Vol 10, Iss 4, p 252 (2023)
The increasing complexity in particle science and technology requires the ability to deal with multidimensional property distributions. We present the theoretical background for multidimensional fractionations by transferring the concepts known from
Externí odkaz:
https://doaj.org/article/000d948bf08646c8b3a9286c79761380
Publikováno v:
INFORMS Journal on Computing. 35:458-474
We present a solution framework for general alternating current optimal power flow (AC OPF) problems that include discrete decisions. The latter occur, for instance, in the context of the curtailment of renewables or the switching of power-generation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5bf4d2c519032523841cae2c69f67882
https://doi.org/10.1287/ijoc.2023.1270
https://doi.org/10.1287/ijoc.2023.1270
Publikováno v:
Journal of Optimization Theory and Applications. 195:1056-1086
Currently, few approaches are available for mixed-integer nonlinear robust optimization. Those that do exist typically either require restrictive assumptions on the problem structure or do not guarantee robust protection. In this work, we develop an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::28ac762231f4347c45227cfc596d6658
https://doi.org/10.1007/s10957-022-02114-y
https://doi.org/10.1007/s10957-022-02114-y
Publikováno v:
European Journal of Operational Research. 301:318-333
We propose a mathematical optimization model and its solution for joint chance constrained DC Optimal Power Flow. In this application, it is particularly important that there is a high probability of transmission limits being satisfied, even in the c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::070cfa30faa5e61e40c7492bc1394bfa
https://doi.org/10.1016/j.ejor.2021.10.051
https://doi.org/10.1016/j.ejor.2021.10.051
Publikováno v:
European Journal of Operational Research. 300:189-206
Mathematical optimization problems including a time dimension abound. For example, logistics, process optimization and production planning tasks must often be optimized for a range of time periods. Usually, these problems incorporating time structure
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fc161014e1cda29757a8e99ddaf94fb0
https://doi.org/10.1016/j.ejor.2021.07.043
https://doi.org/10.1016/j.ejor.2021.07.043
Publikováno v:
INFORMS Journal on Computing. 34:2106-2124
Currently, there are few theoretical or practical approaches available for general nonlinear robust optimization. Moreover, the approaches that do exist impose restrictive assumptions on the problem structure. We present an adaptive bundle method for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::202033cd810b42b0ba5ea4b79e8c41e9
https://doi.org/10.1287/ijoc.2021.1122
https://doi.org/10.1287/ijoc.2021.1122
Autor:
Kevin-Martin Aigner, Andreas Bärmann, Kristin Braun, Frauke Liers, Sebastian Pokutta, Oskar Schneider, Kartikey Sharma, Sebastian Tschuppik
Publikováno v:
INFORMS Journal on Optimization.
Stochastic optimization (SO) is a classical approach for optimization under uncertainty that typically requires knowledge about the probability distribution of uncertain parameters. Because the latter is often unknown, distributionally robust optimiz
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d4e8214ee7459783724fc49f3b4dd7e9
https://doi.org/10.1287/ijoo.2023.0091
https://doi.org/10.1287/ijoo.2023.0091
Publikováno v:
CEAS Aeronautical Journal.
Recent developments in the field of data analysis offer enormous potential to derive predictions of future aircraft maintenance necessities from observable aircraft attributes. This procedure is called Predictive Maintenance. The Predictive Maintenan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::34f9a2919f5e61ab5f3aa1e37554884b
https://doi.org/10.1007/s13272-023-00663-0
https://doi.org/10.1007/s13272-023-00663-0
Autor:
Benno Hoch, Frauke Liers
Publikováno v:
Optimization and Engineering. 24:1017-1055
Planning for multiple commodities simultaneously is a challenging task arising in divers applications, including robot motion or various forms of traffic management. Separation constraints between commodities frequently have to be considered to ensur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2da630ee00cac86fafbb83005ffbaef2
https://doi.org/10.1007/s11081-022-09719-2
https://doi.org/10.1007/s11081-022-09719-2