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1478 Publications
2019 | Conference Paper | LibreCat-ID: 43748
Meier, T., Bühler, J., Schmidt, C., Heinrich, A.-C., Allerbeck, J., Podzimski, R., Berghoff, D., Schmidt, W. G., Reichl, C., Wegscheider, W., Brida, D., & Leitenstorfer, A. (2019). Subcycle Wannier-Stark Localization by Mid-Infrared Bias in Gallium Arsenide. XXI International Conference on Ultrafast Phenomena 2018 (UP 2018), 205, Article 05001. https://doi.org/10.1051/epjconf/201920505001
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2019 | Conference Paper | LibreCat-ID: 22441
Lammers, S., Tominski, J., & Zimmer, D. (2019). Guidelines for post processing oriented design of additive manufactured parts for use in topology optimization. II International Conference on Simulation for Additive Manufacturing Sim-AM 2019 11-13 September, 2019, 174–185. http://congress.cimne.com/sim-am2019/frontal/doc/EbookSim-AM2019.pdf
LibreCat
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2019 | Journal Article | LibreCat-ID: 23907
Grydin, O., Sotirov, N., Samsonenko, A., Biba, N., Andreiev, A., Stolbchenko, M., Behr, T., Frolov, I., & Schaper, M. (2019). Flexible Hot Rolling of Extruded Shapes of Aluminum Alloy EN AW-6082. Materials Science Forum, 85–92. https://doi.org/10.4028/www.scientific.net/msf.949.85
LibreCat
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2019 | Journal Article | LibreCat-ID: 47947
Rüsing, M., Weigel, P. O., Zhao, J., & Mookherjea, S. (2019). Toward 3D Integrated Photonics Including Lithium Niobate Thin Films: A Bridge Between Electronics, Radio Frequency, and Optical Technology. IEEE Nanotechnology Magazine, 13(4), 18–33. https://doi.org/10.1109/mnano.2019.2916115
LibreCat
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2019 | Conference Paper | LibreCat-ID: 46343
Grimme, C., Kerschke, P., & Trautmann, H. (2019). Multimodality in Multi-Objective Optimization — More Boon than Bane? In K. Deb, E. Goodman, C. C. A. Coello, K. Klamroth, K. Miettinen, S. Mostaghim, & P. Reed (Eds.), Proceedings of the 10$^th$ International Conference on Evolutionary Multi-Criterion Optimization (EMO) (Vol. 11411, pp. 126–138). Springer. https://doi.org/10.1007/978-3-030-12598-1_11
LibreCat
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2019 | Conference Paper | LibreCat-ID: 46342
Grimme, C., Kerschke, P., Emmerich, M. T. M., Preuss, M., Deutz, A. H., & Trautmann, H. (2019). Sliding to the Global Optimum: How to Benefit from Non-Global Optima in Multimodal Multi-Objective Optimization. AIP Conference Proceedings, 020052-1-020052–020054. https://doi.org/10.1063/1.5090019
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2019 | Book Chapter | LibreCat-ID: 48341
Wille, M. (2019). Prinzipien und Strategien der Textgliederung in den Zeitungen des 18. Jahrhunderts – Eine computerbasierte Korpusanalyse. In F. Simmler & G. Baeva (Eds.), Textgliederungsprinzipien. Ihre Kennzeichnungsformen und Funktionen vom 8. bis 18. Jahrhundert. Akten zum Internationalen Kongress vom 22. bis 24. Juni 2017 an der Universität St. Petersburg (Vol. 34, pp. 507–531). Weidler.
LibreCat
2019 | Book Chapter | LibreCat-ID: 31142
Schuster, B.-M. (2019). Textgliederungsprinzipien und Beziehungsgestaltung im Stammbuch von 1559–1878. In F. Simmler & G. Baeva (Eds.), Textgliederungsprinzipien. Ihre Kennzeichnungsformen und Funktionen in Texten vom 8. bis 18. Jahrhundert. Akten zum Internationalen Kongress an der Staatlichen Universität St. Petersburg vom 22. bis 24. Juni 2017 (pp. 293–312). WEIDLER.
LibreCat
2019 | Book Chapter | LibreCat-ID: 46336
Kerschke, P., & Trautmann, H. (2019). Comprehensive Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems Using the R-package flacco. In N. Bauer, K. Ickstadt, K. Lübke, G. Szepannek, H. Trautmann, & M. Vichi (Eds.), Applications in Statistical Computing (pp. 93–123). Springer. https://doi.org/10.1007/978-3-030-25147-5_7
LibreCat
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2019 | Journal Article | LibreCat-ID: 46346
Kerschke, P., & Trautmann, H. (2019). Automated Algorithm Selection on Continuous Black-Box Problems By Combining Exploratory Landscape Analysis and Machine Learning. Evolutionary Computation (ECJ), 27(1), 99–127. https://doi.org/10.1162/evco_a_00236
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2019 | Journal Article | LibreCat-ID: 46347
Kerschke, P., Wang, H., Preuss, M., Grimme, C., Deutz, A., Trautmann, H., & Emmerich, M. (2019). Search Dynamics on Multimodal Multi-Objective Problems. Evolutionary Computation (ECJ), 27(4), 577–609. https://doi.org/10.1162/evco_a_00234
LibreCat
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2019 | Conference Paper | LibreCat-ID: 23720
Gräßler, I., Pottebaum, J., Taplick, P., Roesmann, D., & Preuß, D. (2019). Unterstützung des Lernens für kritische Situationen: Potenzial von Augmented Reality für die Instandsetzung auf See. In U. Lukas, K. Bauer, & T. Dolereit (Eds.), Go-3D 2019 “Mit 3D Richtung Maritim 4.0” - Tagungsband zur Konferenz Go-3D 2019 (pp. 45–57). Fraunhofer Verlag.
LibreCat
2019 | Conference Paper | LibreCat-ID: 48841
Bossek, J., Grimme, C., Meisel, S., Rudolph, G., & Trautmann, H. (2019). Bi-Objective Orienteering: Towards a Dynamic Multi-objective Evolutionary Algorithm. In K. Deb, E. Goodman, C. A. Coello Coello, K. Klamroth, K. Miettinen, S. Mostaghim, & P. Reed (Eds.), Evolutionary Multi-Criterion Optimization (EMO) (pp. 516–528). Springer International Publishing. https://doi.org/10.1007/978-3-030-12598-1_41
LibreCat
| DOI
2019 | Conference Paper | LibreCat-ID: 48842
Bossek, J., Kerschke, P., Neumann, A., Wagner, M., Neumann, F., & Trautmann, H. (2019). Evolving Diverse TSP Instances by Means of Novel and Creative Mutation Operators. Proceedings of the 15th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, 58–71. https://doi.org/10.1145/3299904.3340307
LibreCat
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2019 | Conference Paper | LibreCat-ID: 48843
Bossek, J., Neumann, F., Peng, P., & Sudholt, D. (2019). Runtime Analysis of Randomized Search Heuristics for Dynamic Graph Coloring. Proceedings of the Genetic and Evolutionary Computation Conference, 1443–1451. https://doi.org/10.1145/3321707.3321792
LibreCat
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2019 | Conference Paper | LibreCat-ID: 48840
Bossek, J., Grimme, C., & Neumann, F. (2019). On the Benefits of Biased Edge-Exchange Mutation for the Multi-Criteria Spanning Tree Problem. Proceedings of the Genetic and Evolutionary Computation Conference, 516–523. https://doi.org/10.1145/3321707.3321818
LibreCat
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2019 | Conference Paper | LibreCat-ID: 48858
Bossek, J., & Grimme, C. (2019). Solving Scalarized Subproblems within Evolutionary Algorithms for Multi-criteria Shortest Path Problems. In R. Battiti, M. Brunato, I. Kotsireas, & P. M. Pardalos (Eds.), Learning and Intelligent Optimization (pp. 184–198). Springer International Publishing. https://doi.org/10.1007/978-3-030-05348-2_17
LibreCat
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2019 | Conference Paper | LibreCat-ID: 48875
Bossek, J., & Trautmann, H. (2019). Multi-Objective Performance Measurement: Alternatives to PAR10 and Expected Running Time. In R. Battiti, M. Brunato, I. Kotsireas, & P. M. Pardalos (Eds.), Learning and Intelligent Optimization (pp. 215–219). Springer International Publishing. https://doi.org/10.1007/978-3-030-05348-2_19
LibreCat
| DOI
2019 | Conference Paper | LibreCat-ID: 22041
Moritzer, E., Hirsch, A., & Hecker, F. (2019). Process Parameter Optimization to Improve the Mechanical Properties of Arburg Plastic Freeformed Components. 30th Annual International Solid Freeform Fabrication Symposium, 30, 705–714. http://dx.doi.org/10.26153/tsw/17308
LibreCat
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2019 | Journal Article | LibreCat-ID: 53274
Soleymani, M., Santamaria, I., Lameiro, C., & Schreier, P. J. (2019). Ergodic Rate for Fading Interference Channels with Proper and Improper Gaussian Signaling. Entropy, 21(10), Article 922. https://doi.org/10.3390/e21100922
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