TY - CHAP A1 - Stenger, David A1 - Altherr, Lena A1 - Abel, Dirk T1 - Machine learning and metaheuristics for black-box optimization of product families: a case-study investigating solution quality vs. computational overhead T2 - Operations Research Proceedings 2018 N2 - 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. KW - Product family optimization KW - Mixed-integer nonlinear black-box optimization KW - Engineering optimization KW - Machine learning Y1 - 2019 SN - 978-3-030-18499-5 (Print) SN - 978-3-030-18500-8 (Online) U6 - https://doi.org/10.1007/978-3-030-18500-8_47 SP - 379 EP - 385 PB - Springer CY - Cham ER - TY - CHAP A1 - Pfetsch, Marc E. A1 - Abele, Eberhard A1 - Altherr, Lena A1 - Bölling, Christian A1 - Brötz, Nicolas A1 - Dietrich, Ingo A1 - Gally, Tristan A1 - Geßner, Felix A1 - Groche, Peter A1 - Hoppe, Florian A1 - Kirchner, Eckhard A1 - Kloberdanz, Hermann A1 - Knoll, Maximilian A1 - Kolvenbach, Philip A1 - Kuttich-Meinlschmidt, Anja A1 - Leise, Philipp A1 - Lorenz, Ulf A1 - Matei, Alexander A1 - Molitor, Dirk A. A1 - Niessen, Pia A1 - Pelz, Peter F. A1 - Rexer, Manuel A1 - Schmitt, Andreas A1 - Schmitt, Johann M. A1 - Schulte, Fiona A1 - Ulbrich, Stefan A1 - Weigold, Matthias T1 - Strategies for mastering uncertainty T2 - Mastering uncertainty in mechanical engineering N2 - This chapter describes three general strategies to master uncertainty in technical systems: robustness, flexibility and resilience. It builds on the previous chapters about methods to analyse and identify uncertainty and may rely on the availability of technologies for particular systems, such as active components. Robustness aims for the design of technical systems that are insensitive to anticipated uncertainties. Flexibility increases the ability of a system to work under different situations. Resilience extends this characteristic by requiring a given minimal functional performance, even after disturbances or failure of system components, and it may incorporate recovery. The three strategies are described and discussed in turn. Moreover, they are demonstrated on specific technical systems. Y1 - 2021 SN - 978-3-030-78353-2 U6 - https://doi.org/10.1007/978-3-030-78354-9_6 N1 - Part of the Springer Tracts in Mechanical Engineering book series (STME) SP - 365 EP - 456 PB - Springer CY - Cham ER - TY - CHAP A1 - Lind, Thorsten Patric T1 - Wirkungen der Eröffnung des Insolvenzverfahrens : §§ 129, 132, 133, 144, 145 T2 - Bankenkommentar zum Insolvenzrecht. - 3. Auflage Y1 - 2016 SN - 978-3-95725-016-2 SP - 1277 EP - 1767 PB - Finanz Colloquium CY - Heidelberg ER - TY - CHAP A1 - Lind, Thorsten Patric T1 - Eröffnung des Insolvenzverfahrens. Erfaßtes Vermögen und Verfahrensbeteiligte. Insolvenzverwalter, Organe der Gläubiger : §§ 56-62, 66-72, 74-79 T2 - Insolvenzrecht : Kommentar / hrsg. von Martin Ahrens; Markus Gehrlein; Andreas Ringstmeier . - 3. Auflage Y1 - 2017 SN - 978-3-472-08669-7 N1 - Früher unter dem Titel: Fachanwaltskommentar Insolvenzrecht SP - 690 - 752; 776 - 797; 802 - 818 PB - Luchterhand CY - Köln ER - TY - CHAP A1 - Feldmann, M. A1 - Döring, Bernd A1 - Pyschny, D. T1 - Floor systems; Sustainabilty analyses and assessments of steel bridges T2 - Sustainable steel buildings : a practical guide for structures and envelopes Y1 - 2016 SN - 978-1-118-74079-8 (PDF) SN - 978-1-118-74111-5 SP - 198 EP - 223 PB - Wiley Blackwell CY - Chichester, West Sussex ER - TY - CHAP A1 - Lind, Thorsten Patric T1 - Verwaltung und Verwertung der Insolvenzmasse. Sicherung der Insolvenzmasse, Entscheidung über die Verwertung : §§ 148-164 T2 - Insolvenzrecht : Kommentar / hrsg. von Martin Ahrens; Markus Gehrlein; Andreas Ringstmeier . - 3. Auflage Y1 - 2017 SN - 978-3-472-08669-7 N1 - Früher unter dem Titel: Fachanwaltskommentar Insolvenzrecht SP - 1437 EP - 1479 PB - Luchterhand CY - Köln ER - TY - CHAP A1 - Geisler, Simon A1 - Pieper, Martin T1 - Mathematik PLuS als E-Book. Kann ein E-Book zur Ingenieursmathematik alle Lerntypen ansprechen? T2 - Das elektronische Schulbuch 2016 Y1 - 2017 SN - 978-3-643-13475-2 SP - 99 EP - 111 PB - LIT Verlag CY - Berlin ER - TY - CHAP A1 - Pieper, Martin A1 - Wählisch, Georg T1 - Mehrwert von E-Learning durch fächerübergreifenden Einsatz T2 - Teaching is Touching the Future & ePS 2016 - Kompetenzorientiertes Lehren, Lernen und Prüfen Y1 - 2017 SN - 978-3-946017-05-9 SP - 193 EP - 196 PB - UVW Universitätsverlag Webler CY - Bielefeld ER - TY - CHAP A1 - Bialonski, Stephan A1 - Lehnertz, Klaus T1 - From time series to complex networks: an overview T2 - Recent Advances in Predicting and Preventing Epileptic Seizures: Proceedings of the 5th International Workshop on Seizure Prediction N2 - The network approach towards the analysis of the dynamics of complex systems has been successfully applied in a multitude of studies in the neurosciences and has yielded fascinating insights. With this approach, a complex system is considered to be composed of different constituents which interact with each other. Interaction structures can be compactly represented in interaction networks. In this contribution, we present a brief overview about how interaction networks are derived from multivariate time series, about basic network characteristics, and about challenges associated with this analysis approach. Y1 - 2013 SN - 978-981-4525-36-7 U6 - https://doi.org/10.1142/9789814525350_0010 SP - 132 EP - 147 ER - TY - CHAP A1 - Bialonski, Stephan T1 - Are interaction clusters in epileptic networks predictive of seizures? T2 - Epilepsy: The Intersection of Neurosciences, Biology, Mathematics, Engineering, and Physics Y1 - 2016 SN - 978-143983886-0 SP - 349 EP - 355 PB - CRC Press ER -