Please note that LibreCat no longer supports Internet Explorer versions 8 or 9 (or earlier).
We recommend upgrading to the latest Internet Explorer, Google Chrome, or Firefox.
5928 Publications
2020 | Conference Paper | LibreCat-ID: 48844
Bossek J, Kerschke P, Trautmann H. Anytime Behavior of Inexact TSP Solvers and Perspectives for Automated Algorithm Selection. In: 2020 IEEE Congress on Evolutionary Computation (CEC). IEEE Press; 2020:1–8. doi:10.1109/CEC48606.2020.9185613
LibreCat
| DOI
2020 | Conference Paper | LibreCat-ID: 48850
Bossek J, Doerr C, Kerschke P. 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. GECCO ’20. Association for Computing Machinery; 2020:778–786. doi:10.1145/3377930.3390155
LibreCat
| DOI
2020 | Conference Paper | LibreCat-ID: 48852
Bossek J, Neumann A, Neumann F. 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). Springer-Verlag; 2020:346–359. doi:10.1007/978-3-030-58112-1_24
LibreCat
| DOI
2020 | Conference Paper | LibreCat-ID: 48846
Bossek J, Grimme C, Rudolph G, Trautmann H. Towards Decision Support in Dynamic Bi-Objective Vehicle Routing. In: 2020 IEEE Congress on Evolutionary Computation (CEC). IEEE Press; 2020:1–8. doi:10.1109/CEC48606.2020.9185778
LibreCat
| DOI
2020 | Conference Paper | LibreCat-ID: 48879
Do AV, Bossek J, Neumann A, Neumann F. Evolving Diverse Sets of Tours for the Travelling Salesperson Problem. In: Proceedings of the Genetic and Evolutionary Computation Conference. GECCO’20. Association for Computing Machinery; 2020:681–689. doi:10.1145/3377930.3389844
LibreCat
| DOI
2020 | Conference Paper | LibreCat-ID: 48895
Roostapour V, Bossek J, Neumann F. 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. {GECCO} ’20. Association for Computing Machinery; 2020:551–559. doi:10.1145/3377930.3390168
LibreCat
| DOI
2020 | Conference Paper | LibreCat-ID: 48897
Seiler M, Pohl J, Bossek J, Kerschke P, Trautmann H. 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). Springer-Verlag; 2020:48–64. doi:10.1007/978-3-030-58112-1_4
LibreCat
| DOI
2020 | Journal Article | LibreCat-ID: 48848
Bossek J, Kerschke P, Trautmann H. A Multi-Objective Perspective on Performance Assessment and Automated Selection of Single-Objective Optimization Algorithms. Applied Soft Computing. 2020;88(C). doi:10.1016/j.asoc.2019.105901
LibreCat
| DOI
2020 | Journal Article | LibreCat-ID: 48836
Bartz-Beielstein T, Doerr C, van den Berg D, et al. Benchmarking in Optimization: Best Practice and Open Issues. Corr. Published online 2020.
LibreCat
2020 | Conference Paper | LibreCat-ID: 17397
Amjad MS, Hardes T, Schettler M, Sommer C, Dressler F. Using Full Duplex Relaying to Reduce Physical Layer Latency in Platooning. In: 2019 IEEE Vehicular Networking Conference (VNC). ; 2020. doi:10.1109/vnc48660.2019.9062784
LibreCat
| DOI
2020 | Conference Paper | LibreCat-ID: 17399
Hardes T, Sommer C. Towards Heterogeneous Communication Strategies for Urban Platooning at Intersections. In: 2019 IEEE Vehicular Networking Conference (VNC). ; 2020. doi:10.1109/vnc48660.2019.9062835
LibreCat
| DOI
2020 | Journal Article | LibreCat-ID: 52930
Baader F, Borgwardt S, Koopmann P, Thost V, Turhan A-Y. Semantic Technologies for Situation Awareness. Künstliche Intell. 2020;34(4):543–550. doi:10.1007/S13218-020-00694-3
LibreCat
| DOI
2020 | Conference Paper | LibreCat-ID: 35152
Lösch A, Platzner M. MigHEFT: DAG-based Scheduling of Migratable Tasks on Heterogeneous Compute Nodes. In: 2020 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW). ; 2020:6-16. doi:10.1109/IPDPSW50202.2020.00012
LibreCat
| DOI
2020 | Book Chapter | LibreCat-ID: 47261
Haney JM, Furman SM, Acar Y. Smart Home Security and Privacy Mitigations: Consumer Perceptions, Practices, and Challenges. In: HCI for Cybersecurity, Privacy and Trust. Springer International Publishing; 2020. doi:10.1007/978-3-030-50309-3_26
LibreCat
| DOI
2020 | Conference Paper | LibreCat-ID: 47260
Wermke D, Huaman N, Stransky C, Busch N, Acar Y, Fahl S. Cloudy with a Chance of Misconceptions: Exploring Users’ Perceptions and Expectations of Security and Privacy in Cloud Office Suites. In: Lipford HR, Chiasson S, eds. Sixteenth Symposium on Usable Privacy and Security, SOUPS 2020, August 7-11, 2020. USENIX Association; 2020:359–377.
LibreCat
2020 | Conference Paper | LibreCat-ID: 47262
Gorski PL, Acar Y, Lo Iacono L, Fahl S. Listen to Developers! A Participatory Design Study on Security Warnings for Cryptographic APIs. In: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. ACM; 2020. doi:10.1145/3313831.3376142
LibreCat
| DOI
2020 | Conference Paper | LibreCat-ID: 47879
Haney J, Furman S, Acar Y. Smart Home Security and Privacy Mitigations: Consumer Perceptions, Practices, and Challenges. In: International Conference on Human-Computer Interaction, Copenhagen, -1; 2020.
LibreCat
2020 | Conference Paper | LibreCat-ID: 46331
Seiler M, Trautmann H, Kerschke P. Enhancing Resilience of Deep Learning Networks By Means of Transferable Adversaries. In: Proceedings of the International Joint Conference on Neural Networks (IJCNN). ; 2020:1–8. doi:10.1109/IJCNN48605.2020.9207338
LibreCat
| DOI
2020 | Conference Paper | LibreCat-ID: 46330
Seiler M, Pohl J, Bossek J, Kerschke P, Trautmann H. Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem. In: Bäck T, Preuss M, Deutz A, et al., eds. Proceedings of the 16$^th$ International Conference on Parallel Problem Solving from Nature (PPSN XVI). ; 2020:48–64. doi:10.1007/978-3-030-58112-1_4
LibreCat
| DOI
2020 | Journal Article | LibreCat-ID: 46334
Bossek J, Kerschke P, Trautmann H. A multi-objective perspective on performance assessment and automated selection of single-objective optimization algorithms. Applied Soft Computing. 2020;88:105901. doi:https://doi.org/10.1016/j.asoc.2019.105901
LibreCat
| DOI