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1442 Publications


2019 | Journal Article | LibreCat-ID: 47947
Rüsing M, Weigel PO, Zhao J, Mookherjea S. Toward 3D Integrated Photonics Including Lithium Niobate Thin Films: A Bridge Between Electronics, Radio Frequency, and Optical Technology. IEEE Nanotechnology Magazine. 2019;13(4):18-33. doi:10.1109/mnano.2019.2916115
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2019 | Conference Paper | LibreCat-ID: 46343
Grimme C, Kerschke P, Trautmann H. Multimodality in Multi-Objective Optimization — More Boon than Bane? In: Deb K, Goodman E, Coello CCA, et al., eds. Proceedings of the 10$^th$ International Conference on Evolutionary Multi-Criterion Optimization (EMO). Vol 11411. Lecture Notes in Computer Science. Springer; 2019:126–138. doi:10.1007/978-3-030-12598-1_11
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2019 | Conference Paper | LibreCat-ID: 46342
Grimme C, Kerschke P, Emmerich MTM, Preuss M, Deutz AH, Trautmann H. Sliding to the Global Optimum: How to Benefit from Non-Global Optima in Multimodal Multi-Objective Optimization. In: AIP Conference Proceedings. AIP Publishing; 2019:020052-1-020052-020054. doi:10.1063/1.5090019
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2019 | Book Chapter | LibreCat-ID: 48341
Wille M. Prinzipien und Strategien der Textgliederung in den Zeitungen des 18. Jahrhunderts – Eine computerbasierte Korpusanalyse. In: Simmler F, Baeva G, 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. Berliner Sprachwissenschaftliche Studien. Weidler; 2019:507-531.
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2019 | Book Chapter | LibreCat-ID: 31142
Schuster B-M. Textgliederungsprinzipien und Beziehungsgestaltung im Stammbuch von 1559–1878. In: Simmler F, Baeva G, 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. WEIDLER; 2019:293–312.
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2019 | Book Chapter | LibreCat-ID: 46336
Kerschke P, Trautmann H. Comprehensive Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems Using the R-package flacco. In: Bauer N, Ickstadt K, Lübke K, Szepannek G, Trautmann H, Vichi M, eds. Applications in Statistical Computing. Springer; 2019:93–123. doi:10.1007/978-3-030-25147-5_7
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2019 | Journal Article | LibreCat-ID: 46346
Kerschke P, Trautmann H. Automated Algorithm Selection on Continuous Black-Box Problems By Combining Exploratory Landscape Analysis and Machine Learning. Evolutionary Computation (ECJ). 2019;27(1):99–127. doi:10.1162/evco_a_00236
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2019 | Journal Article | LibreCat-ID: 46347
Kerschke P, Wang H, Preuss M, et al. Search Dynamics on Multimodal Multi-Objective Problems. Evolutionary Computation (ECJ). 2019;27(4):577–609. doi:10.1162/evco_a_00234
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2019 | Conference Paper | LibreCat-ID: 23720
Gräßler I, Pottebaum J, Taplick P, Roesmann D, Preuß D. Unterstützung des Lernens für kritische Situationen: Potenzial von Augmented Reality für die Instandsetzung auf See. In: Lukas U, Bauer K, Dolereit T, eds. Go-3D 2019 “Mit 3D Richtung Maritim 4.0” - Tagungsband zur Konferenz Go-3D 2019. Fraunhofer Verlag; 2019:45-57.
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2019 | Conference Paper | LibreCat-ID: 48841
Bossek J, Grimme C, Meisel S, Rudolph G, Trautmann H. Bi-Objective Orienteering: Towards a Dynamic Multi-objective Evolutionary Algorithm. In: Deb K, Goodman E, Coello Coello CA, et al., eds. Evolutionary Multi-Criterion Optimization (EMO). Lecture Notes in Computer Science. Springer International Publishing; 2019:516–528. doi:10.1007/978-3-030-12598-1_41
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2019 | Conference Paper | LibreCat-ID: 48842
Bossek J, Kerschke P, Neumann A, Wagner M, Neumann F, Trautmann H. Evolving Diverse TSP Instances by Means of Novel and Creative Mutation Operators. In: Proceedings of the 15th ACM/SIGEVO Conference on Foundations of Genetic Algorithms. FOGA ’19. Association for Computing Machinery; 2019:58–71. doi:10.1145/3299904.3340307
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2019 | Conference Paper | LibreCat-ID: 48843
Bossek J, Neumann F, Peng P, Sudholt D. Runtime Analysis of Randomized Search Heuristics for Dynamic Graph Coloring. In: Proceedings of the Genetic and Evolutionary Computation Conference. GECCO ’19. Association for Computing Machinery; 2019:1443–1451. doi:10.1145/3321707.3321792
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2019 | Conference Paper | LibreCat-ID: 48840
Bossek J, Grimme C, Neumann F. On the Benefits of Biased Edge-Exchange Mutation for the Multi-Criteria Spanning Tree Problem. In: Proceedings of the Genetic and Evolutionary Computation Conference. GECCO ’19. Association for Computing Machinery; 2019:516–523. doi:10.1145/3321707.3321818
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2019 | Conference Paper | LibreCat-ID: 48858
Bossek J, Grimme C. Solving Scalarized Subproblems within Evolutionary Algorithms for Multi-criteria Shortest Path Problems. In: Battiti R, Brunato M, Kotsireas I, Pardalos PM, eds. Learning and Intelligent Optimization. Lecture Notes in Computer Science. Springer International Publishing; 2019:184–198. doi:10.1007/978-3-030-05348-2_17
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2019 | Conference Paper | LibreCat-ID: 48875
Bossek J, Trautmann H. Multi-Objective Performance Measurement: Alternatives to PAR10 and Expected Running Time. In: Battiti R, Brunato M, Kotsireas I, Pardalos PM, eds. Learning and Intelligent Optimization. Lecture Notes in Computer Science. Springer International Publishing; 2019:215–219. doi:10.1007/978-3-030-05348-2_19
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2019 | Conference Paper | LibreCat-ID: 22041
Moritzer E, Hirsch A, Hecker F. Process Parameter Optimization to Improve the Mechanical Properties of Arburg Plastic Freeformed Components. In: 30th Annual International Solid Freeform Fabrication Symposium. Vol 30. ; 2019:705-714. doi:http://dx.doi.org/10.26153/tsw/17308
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2019 | Journal Article | LibreCat-ID: 53274
Soleymani M, Santamaria I, Lameiro C, Schreier PJ. Ergodic Rate for Fading Interference Channels with Proper and Improper Gaussian Signaling. Entropy. 2019;21(10). doi:10.3390/e21100922
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2019 | Journal Article | LibreCat-ID: 4684
Beverungen D, Müller O, Matzner M, Mendling J, vom Brocke J. Conceptualizing smart service systems. Electronic Markets. 2019;29:7-18. doi:10.1007/s12525-017-0270-5
LibreCat | Files available | DOI
 

2019 | Journal Article | LibreCat-ID: 53976
Mousavi SM, Tavana M, Alikar N, Zandieh M. A tuned hybrid intelligent fruit fly optimization algorithm for fuzzy rule generation and classification. Neural Computing and Applications. 2019;31(3):873-885. doi:10.1007/s00521-017-3115-4
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2019 | Journal Article | LibreCat-ID: 53974
Mousavi SM, Alikar N, Tavana M, Di Caprio D. An improved particle swarm optimization model for solving homogeneous discounted series-parallel redundancy allocation problems. Journal of Intelligent Manufacturing. 2019;30(3):1175-1194. doi:10.1007/s10845-017-1311-9
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