@inbook{4928,
  author       = {{Schneider, Martin}},
  booktitle    = {{The Impact of Digitalization in the Workplace}},
  editor       = {{Harteis, Christian}},
  pages        = {{39----52}},
  title        = {{{Digitalization of Production, Human Capital, and Organizational Capital}}},
  doi          = {{https://doi.org/10.1007/978-3-319-63257-5_4}},
  year         = {{2018}},
}

@misc{49249,
  author       = {{Gretz, Daniela}},
  booktitle    = {{Jahrbuch für Kommunikationsgeschichte}},
  pages        = {{212−213}},
  title        = {{{Johann Friedrich Cotta. Verleger– Unternehmer – Technikpionier}}},
  year         = {{2018}},
}

@article{36510,
  author       = {{Taschl-Erber, Andrea}},
  journal      = {{Quick And Easy Journal Title}},
  title        = {{{New Quick And Easy Publication - Will be edited by LibreCat team}}},
  year         = {{2018}},
}

@inbook{49379,
  author       = {{Kammeyer, Katharina}},
  booktitle    = {{Religion unterrichten in religiöser, konfessioneller und weltanschaulicher Vielfalt. Ein Handbuch für Lehrkräfte}},
  editor       = {{Eisenhardt, Saskia and Kürzinger, Kathrin S. and Naurath, Elisabeth and Pohl-Patalong, Uta}},
  pages        = {{127--136}},
  publisher    = {{Vandenhoeck & Ruprecht}},
  title        = {{{Theologisieren mit Kindern}}},
  year         = {{2018}},
}

@techreport{47090,
  author       = {{Kesternich, Martin}},
  pages        = {{19--22}},
  publisher    = {{EAERE Magazine 1, 19-22}},
  title        = {{{ Bottom-up climate mitigation efforts}}},
  volume       = {{1}},
  year         = {{2018}},
}

@article{40955,
  author       = {{Topalović, Elvira and Drepper, Laura and Fröhlich, Nadine}},
  journal      = {{Mitteilungen des Deutschen Germanistenverbandes}},
  number       = {{3}},
  pages        = {{317--325}},
  publisher    = {{Vandenhoeck & Ruprecht GmbH & Co, KG, Göttingen}},
  title        = {{{Digitale Bildung als Querschnittsaufgabe. Der Beitrag des Fachs Deutsch zwischen Sprache, Literatur und Medien}}},
  year         = {{2018}},
}

@book{49524,
  editor       = {{Bührer, W. and Meyer zu Hörste-Bührer,, R.J.}},
  title        = {{{Relationale Erkenntnishorizonte in Exegese und Systematischer Theologie}}},
  year         = {{2018}},
}

@inbook{49538,
  author       = {{Meyer zu Hörste-Bührer, Raphaela}},
  booktitle    = {{Relationale Erkenntnis- horizonte in Exegese und Systematischer Theologie, Marburger Theologische Studien 129}},
  editor       = {{Bührer, W. and Meyer zu Hörste-Bührer, R.J.}},
  pages        = {{181–219}},
  title        = {{{Relationale Erkenntnishorizonte als hermeneutischer Schlüssel zu Pluralität und Einheit des Alten Testaments}}},
  year         = {{2018}},
}

@inproceedings{48839,
  abstract     = {{We analyze the effects of including local search techniques into a multi-objective evolutionary algorithm for solving a bi-objective orienteering problem with a single vehicle while the two conflicting objectives are minimization of travel time and maximization of the number of visited customer locations. Experiments are based on a large set of specifically designed problem instances with different characteristics and it is shown that local search techniques focusing on one of the objectives only improve the performance of the evolutionary algorithm in terms of both objectives. The analysis also shows that local search techniques are capable of sending locally optimal solutions to foremost fronts of the multi-objective optimization process, and that these solutions then become the leading factors of the evolutionary process.}},
  author       = {{Bossek, Jakob and Grimme, Christian and Meisel, Stephan and Rudolph, Günter and Trautmann, Heike}},
  booktitle    = {{Proceedings of the Genetic and Evolutionary Computation Conference}},
  isbn         = {{978-1-4503-5618-3}},
  keywords     = {{combinatorial optimization, metaheuristics, multi-objective optimization, orienteering, transportation}},
  pages        = {{585–592}},
  publisher    = {{Association for Computing Machinery}},
  title        = {{{Local Search Effects in Bi-Objective Orienteering}}},
  doi          = {{10.1145/3205455.3205548}},
  year         = {{2018}},
}

@inproceedings{48867,
  abstract     = {{Assessing the performance of stochastic optimization algorithms in the field of multi-objective optimization is of utmost importance. Besides the visual comparison of the obtained approximation sets, more sophisticated methods have been proposed in the last decade, e. g., a variety of quantitative performance indicators or statistical tests. In this paper, we present tools implemented in the R package ecr, which assist in performing comprehensive and sound comparison and evaluation of multi-objective evolutionary algorithms following recommendations from the literature.}},
  author       = {{Bossek, Jakob}},
  booktitle    = {{Proceedings of the Genetic and Evolutionary Computation Conference Companion}},
  isbn         = {{978-1-4503-5764-7}},
  keywords     = {{evolutionary optimization, performance assessment, software-tools}},
  pages        = {{1350–1356}},
  publisher    = {{Association for Computing Machinery}},
  title        = {{{Performance Assessment of Multi-Objective Evolutionary Algorithms with the R Package ecr}}},
  doi          = {{10.1145/3205651.3208312}},
  year         = {{2018}},
}

@inproceedings{48885,
  abstract     = {{Performance comparisons of optimization algorithms are heavily influenced by the underlying indicator(s). In this paper we investigate commonly used performance indicators for single-objective stochastic solvers, such as the Penalized Average Runtime (e.g., PAR10) or the Expected Running Time (ERT), based on exemplary benchmark performances of state-of-the-art inexact TSP solvers. Thereby, we introduce a methodology for analyzing the effects of (usually heuristically set) indicator parametrizations - such as the penalty factor and the method used for aggregating across multiple runs - w.r.t. the robustness of the considered optimization algorithms.}},
  author       = {{Kerschke, Pascal and Bossek, Jakob and Trautmann, Heike}},
  booktitle    = {{Proceedings of the Genetic and Evolutionary Computation Conference Companion}},
  isbn         = {{978-1-4503-5764-7}},
  keywords     = {{algorithm selection, optimization, performance measures, transportation, travelling salesperson problem}},
  pages        = {{1737–1744}},
  publisher    = {{Association for Computing Machinery}},
  title        = {{{Parameterization of State-of-the-Art Performance Indicators: A Robustness Study Based on Inexact TSP Solvers}}},
  doi          = {{10.1145/3205651.3208233}},
  year         = {{2018}},
}

@book{48880,
  author       = {{Grimme, Christian and Bossek, Jakob}},
  isbn         = {{978-3-658-21150-9}},
  publisher    = {{Springer Vieweg}},
  title        = {{{Einführung in die Optimierung - Konzepte, Methoden und Anwendungen}}},
  doi          = {{10.1007/978-3-658-21151-6}},
  year         = {{2018}},
}

@article{48884,
  abstract     = {{The Travelling Salesperson Problem (TSP) is one of the best-studied NP-hard problems. Over the years, many different solution approaches and solvers have been developed. For the first time, we directly compare five state-of-the-art inexact solvers\textemdash namely, LKH, EAX, restart variants of those, and MAOS\textemdash on a large set of well-known benchmark instances and demonstrate complementary performance, in that different instances may be solved most effectively by different algorithms. We leverage this complementarity to build an algorithm selector, which selects the best TSP solver on a per-instance basis and thus achieves significantly improved performance compared to the single best solver, representing an advance in the state of the art in solving the Euclidean TSP. Our in-depth analysis of the selectors provides insight into what drives this performance improvement.}},
  author       = {{Kerschke, Pascal and Kotthoff, Lars and Bossek, Jakob and Hoos, Holger H. and Trautmann, Heike}},
  issn         = {{1063-6560}},
  journal      = {{Evolutionary Computation}},
  keywords     = {{automated algorithm selection, machine learning., performance modeling, Travelling Salesperson Problem}},
  number       = {{4}},
  pages        = {{597–620}},
  title        = {{{Leveraging TSP Solver Complementarity through Machine Learning}}},
  doi          = {{10.1162/evco_a_00215}},
  volume       = {{26}},
  year         = {{2018}},
}

@article{48866,
  abstract     = {{Bossek, (2018). grapherator: A Modular Multi-Step Graph Generator. Journal of Open Source Software, 3(22), 528, https://doi.org/10.21105/joss.00528}},
  author       = {{Bossek, Jakob}},
  issn         = {{2475-9066}},
  journal      = {{Journal of Open Source Software}},
  number       = {{22}},
  pages        = {{528}},
  title        = {{{Grapherator: A Modular Multi-Step Graph Generator}}},
  doi          = {{10.21105/joss.00528}},
  volume       = {{3}},
  year         = {{2018}},
}

@article{49738,
  author       = {{Huybrechts, Yves and Buylaert, Frederik}},
  issn         = {{1138-9621 }},
  journal      = {{EDAD MEDIA: Revista de Historia}},
  pages        = {{184--217}},
  title        = {{{Blue Blood in the Red? Nobles on the Antwerp annuity market (1490-1493) }}},
  doi          = {{10.24197/EM.19.2018.184-217 }},
  volume       = {{19}},
  year         = {{2018}},
}

@inproceedings{50108,
  author       = {{Pauls, Karina}},
  booktitle    = {{Skulptur lehren. Künstlerische, kunstwissenschaftliche und kunstpädagogische Perspektiven auf Skulptur im erweiterten Feld}},
  editor       = {{Hornäk, Sara}},
  isbn         = {{978-3-7705-6189-6}},
  location     = {{Paderborn}},
  pages        = {{63--77}},
  title        = {{{Skulptur in Zeiten ihrer Entgrenzung – Herausforderungen und Möglichkeiten der Vermittlung}}},
  year         = {{2018}},
}

@inproceedings{50199,
  author       = {{Hohmann, Sascha and Quast, Martin}},
  booktitle    = {{PhyDid B}},
  editor       = {{Grötzebauch, Helmuth}},
  issn         = {{2191-379X}},
  location     = {{Würzburg}},
  number       = {{2018}},
  pages        = {{141--147}},
  title        = {{{Astronomie in der Lehrerausbildung}}},
  year         = {{2018}},
}

@article{50200,
  author       = {{Quast, Martin and Hohmann, Sascha and Schulz, Andreas}},
  issn         = {{1437-8639}},
  journal      = {{Astronomie + Raumfahrt im Unterricht}},
  number       = {{2018}},
  pages        = {{5--11}},
  publisher    = {{Friedrich-Verlag}},
  title        = {{{Erhebung astronomischer Lerninhalte in den Lehramtsstudiengängen deutscher Universitäten. In: Astronomie + Raumfahrt im Unterricht }}},
  volume       = {{6}},
  year         = {{2018}},
}

@article{50201,
  author       = {{Hohmann, Sascha}},
  issn         = {{1437-8639}},
  journal      = {{Astronomie + Raumfahrt im Unterricht}},
  number       = {{2018}},
  pages        = {{41--42}},
  publisher    = {{Friedrich-Verlag}},
  title        = {{{Infrarotastronomie}}},
  volume       = {{5}},
  year         = {{2018}},
}

@article{50202,
  author       = {{Hohmann, Sascha}},
  issn         = {{1437-8639}},
  journal      = {{Astronomie + Raumfahrt im Unterricht}},
  number       = {{2018}},
  pages        = {{21--24}},
  publisher    = {{Friedrich-Verlag}},
  title        = {{{Sternentstehung}}},
  volume       = {{2}},
  year         = {{2018}},
}

