@incollection{StengerAltherrAbel2019, author = {Stenger, David and Altherr, Lena and Abel, Dirk}, title = {Machine learning and metaheuristics for black-box optimization of product families: a case-study investigating solution quality vs. computational overhead}, series = {Operations Research Proceedings 2018}, booktitle = {Operations Research Proceedings 2018}, publisher = {Springer}, address = {Cham}, isbn = {978-3-030-18499-5 (Print)}, doi = {10.1007/978-3-030-18500-8_47}, pages = {379 -- 385}, year = {2019}, abstract = {In product development, numerous design decisions have to be made. Multi-domain virtual prototyping provides a variety of tools to assess technical feasibility of design options, however often requires substantial computational effort for just a single evaluation. A special challenge is therefore the optimal design of product families, which consist of a group of products derived from a common platform. Finding an optimal platform configuration (stating what is shared and what is individually designed for each product) and an optimal design of all products simultaneously leads to a mixed-integer nonlinear black-box optimization model. We present an optimization approach based on metamodels and a metaheuristic. To increase computational efficiency and solution quality, we compare different types of Gaussian process regression metamodels adapted from the domain of machine learning, and combine them with a genetic algorithm. We illustrate our approach on the example of a product family of electrical drives, and investigate the trade-off between solution quality and computational overhead.}, language = {en} } @incollection{TippkoetterMoehringRothetal.2019, author = {Tippk{\"o}tter, Nils and M{\"o}hring, Sophie and Roth, Jasmine and Wulfhorst, Helene}, title = {Logistics of lignocellulosic feedstocks: preprocessing as a preferable option}, series = {Biorefineries}, booktitle = {Biorefineries}, publisher = {Springer}, address = {Cham}, isbn = {978-3-319-97117-9}, doi = {10.1007/10_2017_58}, pages = {43 -- 68}, year = {2019}, abstract = {In comparison to crude oil, biorefinery raw materials are challenging in concerns of transport and storage. The plant raw materials are more voluminous, so that shredding and compacting usually are necessary before transport. These mechanical processes can have a negative influence on the subsequent biotechnological processing and shelf life of the raw materials. Various approaches and their effects on renewable raw materials are shown. In addition, aspects of decentralized pretreatment steps are discussed. Another important aspect of pretreatment is the varying composition of the raw materials depending on the growth conditions. This problem can be solved with advanced on-site spectrometric analysis of the material.}, language = {en} } @incollection{FinkenbergerBaumeisterKoch2019, author = {Finkenberger, Isabel Maria and Baumeister, Eva-Maria and Koch, Christian}, title = {Komplement und Verst{\"a}rker : Wandel durch neue Allianzen}, series = {Komplement und Verst{\"a}rker : zum Verh{\"a}ltnis von Stadtplanung, k{\"u}nstlerischen Praktiken und Kulturinstitutionen}, booktitle = {Komplement und Verst{\"a}rker : zum Verh{\"a}ltnis von Stadtplanung, k{\"u}nstlerischen Praktiken und Kulturinstitutionen}, publisher = {JOVIS Verlag}, address = {Berlin}, isbn = {978-3-86859-578-9}, pages = {10 -- 39}, year = {2019}, language = {de} } @incollection{FinkenbergerBaumeisterKoch2019, author = {Finkenberger, Isabel Maria and Baumeister, Eva-Maria and Koch, Christian}, title = {Komplement und Verst{\"a}rker : der Diskurs geht weiter}, series = {Komplement und Verst{\"a}rker : zum Verh{\"a}ltnis von Stadtplanung, k{\"u}nstlerischen Praktiken und Kulturinstitutionen}, booktitle = {Komplement und Verst{\"a}rker : zum Verh{\"a}ltnis von Stadtplanung, k{\"u}nstlerischen Praktiken und Kulturinstitutionen}, publisher = {JOVIS Verlag}, address = {Berlin}, isbn = {978-3-86859-578-9}, pages = {40 -- 49}, year = {2019}, language = {de} } @incollection{Timme2019, author = {Timme, Michael}, title = {Kommentierung zu \S\S 705 - 740}, series = {Handbuch der Beweislast - Band 2, \S\S 1 - 811 BGB / Baumg{\"a}rtel, Gottfried ; Laumen, Hans-Willi ; Pr{\"u}tting, Hanns (Hrsg.). 4., v{\"o}llig {\"u}berarbeitete und aktualisierte Auflage}, booktitle = {Handbuch der Beweislast - Band 2, \S\S 1 - 811 BGB / Baumg{\"a}rtel, Gottfried ; Laumen, Hans-Willi ; Pr{\"u}tting, Hanns (Hrsg.). 4., v{\"o}llig {\"u}berarbeitete und aktualisierte Auflage}, publisher = {Carl Heymanns}, address = {K{\"o}ln}, isbn = {978-3-452-29003-8}, pages = {1637 -- 1664}, year = {2019}, language = {de} } @incollection{Golland2019, author = {Golland, Alexander}, title = {Kommentierung von Artikel 94 bis 99 Datenschutz-Grundverordnung}, series = {DSGVO-BDSG}, booktitle = {DSGVO-BDSG}, editor = {Taeger, J{\"u}rgen and Gabel, Detlev}, edition = {3., v{\"o}llig neue bearbeitete und wesentlich erweiterte Auflage}, publisher = {Fachmedien Recht und Wirtschaft}, address = {Frankfurt am Main}, isbn = {978-3-8005-1659-9}, year = {2019}, abstract = {Das Werk kommentiert leicht verst{\"a}ndlich, aktuell und praxisnah die DSGVO wie auch das neue BDSG. Datenverarbeiter erhalten damit eine umfassende Darstellung mit Handlungsempfehlungen zum gesamten neuen Datenschutzrecht.}, language = {de} } @incollection{BosseBarnat2019, author = {Bosse, Elke and Barnat, Miriam}, title = {Kombination quantitativer und qualitativer Methoden zur Untersuchung der Studieneingangsphase}, series = {Hochschulbildungsforschung. Theoretische, methodologische und methodische Denkanst{\"o}ße f{\"u}r die Hochschuldidaktik}, booktitle = {Hochschulbildungsforschung. Theoretische, methodologische und methodische Denkanst{\"o}ße f{\"u}r die Hochschuldidaktik}, editor = {Jenert, Tobias and Reinmann, Gabi and Schmohl, Tobias}, publisher = {Springer VS}, address = {Wiesbaden}, isbn = {978-3-658-20308-5}, pages = {169 -- 184}, year = {2019}, language = {de} } @incollection{BosseBarnat2019, author = {Bosse, Elke and Barnat, Miriam}, title = {Kombination qualitativer und quantitativer Methoden zur Untersuchung der Studieneinstiegsphase}, series = {Hochschulbildungsforschung : Theoretische, methodologische und methodische Denkanst{\"o}ße f{\"u}r die Hochschuldidaktik}, booktitle = {Hochschulbildungsforschung : Theoretische, methodologische und methodische Denkanst{\"o}ße f{\"u}r die Hochschuldidaktik}, publisher = {Springer VS}, address = {Wiesbaden}, isbn = {978-3-658-20309-2}, doi = {10.1007/978-3-658-20309-2_10}, pages = {169 -- 184}, year = {2019}, abstract = {Mit Hilfe der Kombination von qualitativen und quantitativen Verfahren zielen Mixed-Methods Ans{\"a}tze darauf ab, einen vertieften Einblick in komplexe Gegenst{\"a}nde zu gewinnen. In der Hochschulbildungsforschung finden sie zunehmend Anklang, da sie besonders geeignet erscheinen, das vielschichtige Wirkungsgef{\"u}ge zu erfassen, das das Lehren und Lernen an Hochschulen auszeichnet. Der Beitrag geht den Potenzialen von Mixed-Methods Ans{\"a}tzen am Beispiel einer Studie zur Studieneingangsphase nach, die den Wirkungszusammenhang zwischen der Nutzung von Angeboten f{\"u}r den Studieneinstieg und der Entwicklung von Studierf{\"a}higkeit untersucht. Der Beitrag veranschaulicht die Integration von Methoden und Ergebnissen, um Chancen und Grenzen von Mixed-Methods Studien f{\"u}r die Hochschulbildungsforschung zu diskutieren.}, language = {de} } @incollection{Streit2019, author = {Streit, Wilfried}, title = {Kalkulation}, series = {{\"U}bungsaufgaben und Berechnungen f{\"u}r den Baubetrieb}, booktitle = {{\"U}bungsaufgaben und Berechnungen f{\"u}r den Baubetrieb}, publisher = {Springer Vieweg}, address = {Wiesbaden}, isbn = {978-3-658-23127-9}, doi = {10.1007/978-3-658-23127-9_11}, pages = {273 -- 334}, year = {2019}, language = {de} } @incollection{DachwaldOhndorf2019, author = {Dachwald, Bernd and Ohndorf, Andreas}, title = {Global optimization of continuous-thrust trajectories using evolutionary neurocontrol}, series = {Modeling and Optimization in Space Engineering}, booktitle = {Modeling and Optimization in Space Engineering}, publisher = {Springer}, address = {Cham}, isbn = {978-3-030-10501-3}, doi = {10.1007/978-3-030-10501-3_2}, pages = {33 -- 57}, year = {2019}, abstract = {Searching optimal continuous-thrust trajectories is usually a difficult and time-consuming task. The solution quality of traditional optimal-control methods depends strongly on an adequate initial guess because the solution is typically close to the initial guess, which may be far from the (unknown) global optimum. Evolutionary neurocontrol attacks continuous-thrust optimization problems from the perspective of artificial intelligence and machine learning, combining artificial neural networks and evolutionary algorithms. This chapter describes the method and shows some example results for single- and multi-phase continuous-thrust trajectory optimization problems to assess its performance. Evolutionary neurocontrol can explore the trajectory search space more exhaustively than a human expert can do with traditional optimal-control methods. Especially for difficult problems, it usually finds solutions that are closer to the global optimum. Another fundamental advantage is that continuous-thrust trajectories can be optimized without an initial guess and without expert supervision.}, language = {en} }