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5928 Publications
2020 | Conference Paper | LibreCat-ID: 48844
J. Bossek, P. Kerschke, and H. Trautmann, “Anytime Behavior of Inexact TSP Solvers and Perspectives for Automated Algorithm Selection,” in 2020 IEEE Congress on Evolutionary Computation (CEC), 2020, pp. 1–8, doi: 10.1109/CEC48606.2020.9185613.
LibreCat
| DOI
2020 | Conference Paper | LibreCat-ID: 48850
J. Bossek, C. Doerr, and P. Kerschke, “Initial Design Strategies and Their Effects on Sequential Model-Based Optimization: An Exploratory Case Study Based on BBOB,” in Proceedings of the Genetic and Evolutionary Computation Conference, 2020, pp. 778–786, doi: 10.1145/3377930.3390155.
LibreCat
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2020 | Conference Paper | LibreCat-ID: 48852
J. Bossek, A. Neumann, and F. Neumann, “Optimising Tours for the Weighted Traveling Salesperson Problem and the Traveling Thief Problem: A Structural Comparison of Solutions,” in Parallel Problem Solving from Nature (PPSN XVI), 2020, pp. 346–359, doi: 10.1007/978-3-030-58112-1_24.
LibreCat
| DOI
2020 | Conference Paper | LibreCat-ID: 48846
J. Bossek, C. Grimme, G. Rudolph, and H. Trautmann, “Towards Decision Support in Dynamic Bi-Objective Vehicle Routing,” in 2020 IEEE Congress on Evolutionary Computation (CEC), 2020, pp. 1–8, doi: 10.1109/CEC48606.2020.9185778.
LibreCat
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2020 | Conference Paper | LibreCat-ID: 48879
A. V. Do, J. Bossek, A. Neumann, and F. Neumann, “Evolving Diverse Sets of Tours for the Travelling Salesperson Problem,” in Proceedings of the Genetic and Evolutionary Computation Conference, 2020, pp. 681–689, doi: 10.1145/3377930.3389844.
LibreCat
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2020 | Conference Paper | LibreCat-ID: 48895
V. Roostapour, J. Bossek, and F. Neumann, “Runtime Analysis of Evolutionary Algorithms with Biased Mutation for the Multi-Objective Minimum Spanning Tree Problem,” in Proceedings of the 2020 Genetic and Evolutionary Computation Conference, 2020, pp. 551–559, doi: 10.1145/3377930.3390168.
LibreCat
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2020 | Conference Paper | LibreCat-ID: 48897
M. Seiler, J. Pohl, J. Bossek, P. Kerschke, and H. Trautmann, “Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem,” in Parallel Problem Solving from {Nature} (PPSN XVI), 2020, pp. 48–64, doi: 10.1007/978-3-030-58112-1_4.
LibreCat
| DOI
2020 | Journal Article | LibreCat-ID: 48848
J. Bossek, P. Kerschke, and H. Trautmann, “A Multi-Objective Perspective on Performance Assessment and Automated Selection of Single-Objective Optimization Algorithms,” Applied Soft Computing, vol. 88, no. C, 2020, doi: 10.1016/j.asoc.2019.105901.
LibreCat
| DOI
2020 | Journal Article | LibreCat-ID: 48836
T. Bartz-Beielstein et al., “Benchmarking in Optimization: Best Practice and Open Issues,” Corr, 2020.
LibreCat
2020 | Conference Paper | LibreCat-ID: 17397
M. S. Amjad, T. Hardes, M. Schettler, C. Sommer, and F. Dressler, “Using Full Duplex Relaying to Reduce Physical Layer Latency in Platooning,” presented at the IEEE Vehicular Networking Conference , Los Angeles, CA, 2020, doi: 10.1109/vnc48660.2019.9062784.
LibreCat
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2020 | Conference Paper | LibreCat-ID: 17399
T. Hardes and C. Sommer, “Towards Heterogeneous Communication Strategies for Urban Platooning at Intersections,” presented at the IEEE Vehicular Networking Conference , Los Angeles, CA, 2020, doi: 10.1109/vnc48660.2019.9062835.
LibreCat
| DOI
2020 | Journal Article | LibreCat-ID: 52930
F. Baader, S. Borgwardt, P. Koopmann, V. Thost, and A.-Y. Turhan, “Semantic Technologies for Situation Awareness,” Künstliche Intell., vol. 34, no. 4, pp. 543–550, 2020, doi: 10.1007/S13218-020-00694-3.
LibreCat
| DOI
2020 | Conference Paper | LibreCat-ID: 35152
A. Lösch and M. Platzner, “MigHEFT: DAG-based Scheduling of Migratable Tasks on Heterogeneous Compute Nodes,” in 2020 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), 2020, pp. 6–16, doi: 10.1109/IPDPSW50202.2020.00012.
LibreCat
| DOI
2020 | Conference Paper | LibreCat-ID: 47260
D. Wermke, N. Huaman, C. Stransky, N. Busch, Y. Acar, and S. Fahl, “Cloudy with a Chance of Misconceptions: Exploring Users’ Perceptions and Expectations of Security and Privacy in Cloud Office Suites,” in Sixteenth Symposium on Usable Privacy and Security, SOUPS 2020, August 7-11, 2020, 2020, pp. 359–377.
LibreCat
2020 | Conference Paper | LibreCat-ID: 47262
P. L. Gorski, Y. Acar, L. Lo Iacono, and S. Fahl, “Listen to Developers! A Participatory Design Study on Security Warnings for Cryptographic APIs,” 2020, doi: 10.1145/3313831.3376142.
LibreCat
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2020 | Conference Paper | LibreCat-ID: 47879
J. Haney, S. Furman, and Y. Acar, “Smart Home Security and Privacy Mitigations: Consumer Perceptions, Practices, and Challenges,” 2020.
LibreCat
2020 | Conference Paper | LibreCat-ID: 46331
M. Seiler, H. Trautmann, and P. Kerschke, “Enhancing Resilience of Deep Learning Networks By Means of Transferable Adversaries,” in Proceedings of the International Joint Conference on Neural Networks (IJCNN), 2020, pp. 1–8, doi: 10.1109/IJCNN48605.2020.9207338.
LibreCat
| DOI
2020 | Conference Paper | LibreCat-ID: 46330
M. Seiler, J. Pohl, J. Bossek, P. Kerschke, and H. Trautmann, “Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem,” in Proceedings of the 16$^th$ International Conference on Parallel Problem Solving from Nature (PPSN XVI), 2020, pp. 48–64, doi: 10.1007/978-3-030-58112-1_4.
LibreCat
| DOI
2020 | Journal Article | LibreCat-ID: 46334
J. Bossek, P. Kerschke, and H. Trautmann, “A multi-objective perspective on performance assessment and automated selection of single-objective optimization algorithms,” Applied Soft Computing, vol. 88, p. 105901, 2020, doi: https://doi.org/10.1016/j.asoc.2019.105901.
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