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5848 Publications


2020 | Journal Article | LibreCat-ID: 46333
Demystifying Social Bots: On the Intelligence of Automated Social Media Actors
D. Assenmacher, L. Clever, L. Frischlich, T. Quandt, H. Trautmann, C. Grimme, Social Media + Society 6 (2020) 2056305120939264.
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2020 | Conference Paper | LibreCat-ID: 46332
Multiobjectivization of Local Search: Single-Objective Optimization Benefits From Multi-Objective Gradient Descent
V. Steinhoff, P. Kerschke, P. Aspar, H. Trautmann, C. Grimme, in: Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI), Canberra, Australia, 2020, pp. 2445–2452.
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2020 | Conference Paper | LibreCat-ID: 48301
Why do you think that? Exploring Faithful Sentence-Level Rationales Without Supervision
M. Glockner, I. Habernal, I. Gurevych, in: Findings of the Association for Computational Linguistics: EMNLP 2020, Association for Computational Linguistics, 2020.
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2020 | Conference Paper | LibreCat-ID: 16790
Development Framework for Context-Aware Augmented Reality Applications
S.C. Krings, E. Yigitbas, I. Jovanovikj, S. Sauer, G. Engels, in: Proceedings of the 12th ACM SIGCHI Symposium on Engineering Interactive Computing Systems (EICS 2020), 2020.
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2020 | Conference Paper | LibreCat-ID: 48847
More Effective Randomized Search Heuristics for Graph Coloring through Dynamic Optimization
J. Bossek, F. Neumann, P. Peng, D. Sudholt, in: Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, New York, NY, USA, 2020, pp. 1277–1285.
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2020 | Conference Paper | LibreCat-ID: 48849
Evolving Sampling Strategies for One-Shot Optimization Tasks
J. Bossek, C. Doerr, P. Kerschke, A. Neumann, F. Neumann, in: Parallel Problem Solving from Nature (PPSN XVI), Springer-Verlag, Berlin, Heidelberg, 2020, pp. 111–124.
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2020 | Conference Paper | LibreCat-ID: 48851
The Node Weight Dependent Traveling Salesperson Problem: Approximation Algorithms and Randomized Search Heuristics
J. Bossek, K. Casel, P. Kerschke, F. Neumann, in: Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, New York, NY, USA, 2020, pp. 1286–1294.
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2020 | Conference Paper | LibreCat-ID: 48845
Dynamic Bi-Objective Routing of Multiple Vehicles
J. Bossek, C. Grimme, H. Trautmann, in: Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, New York, NY, USA, 2020, pp. 166–174.
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2020 | Conference Paper | LibreCat-ID: 48844
Anytime Behavior of Inexact TSP Solvers and Perspectives for Automated Algorithm Selection
J. Bossek, P. Kerschke, H. Trautmann, in: 2020 IEEE Congress on Evolutionary Computation (CEC), IEEE Press, Glasgow, United Kingdom, 2020, pp. 1–8.
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2020 | Conference Paper | LibreCat-ID: 48850
Initial Design Strategies and Their Effects on Sequential Model-Based Optimization: An Exploratory Case Study Based on BBOB
J. Bossek, C. Doerr, P. Kerschke, in: Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, New York, NY, USA, 2020, pp. 778–786.
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2020 | Conference Paper | LibreCat-ID: 48852
Optimising Tours for the Weighted Traveling Salesperson Problem and the Traveling Thief Problem: A Structural Comparison of Solutions
J. Bossek, A. Neumann, F. Neumann, in: Parallel Problem Solving from Nature (PPSN XVI), Springer-Verlag, Berlin, Heidelberg, 2020, pp. 346–359.
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2020 | Conference Paper | LibreCat-ID: 48846
Towards Decision Support in Dynamic Bi-Objective Vehicle Routing
J. Bossek, C. Grimme, G. Rudolph, H. Trautmann, in: 2020 IEEE Congress on Evolutionary Computation (CEC), IEEE Press, Glasgow, United Kingdom, 2020, pp. 1–8.
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2020 | Conference Paper | LibreCat-ID: 48879
Evolving Diverse Sets of Tours for the Travelling Salesperson Problem
A.V. Do, J. Bossek, A. Neumann, F. Neumann, in: Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, New York, NY, USA, 2020, pp. 681–689.
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2020 | Conference Paper | LibreCat-ID: 48895
Runtime Analysis of Evolutionary Algorithms with Biased Mutation for the Multi-Objective Minimum Spanning Tree Problem
V. Roostapour, J. Bossek, F. Neumann, in: Proceedings of the 2020 Genetic and Evolutionary Computation Conference, Association for Computing Machinery, New York, NY, USA, 2020, pp. 551–559.
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2020 | Conference Paper | LibreCat-ID: 48897
Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem
M. Seiler, J. Pohl, J. Bossek, P. Kerschke, H. Trautmann, in: Parallel Problem Solving from {Nature} (PPSN XVI), Springer-Verlag, Berlin, Heidelberg, 2020, pp. 48–64.
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2020 | Journal Article | LibreCat-ID: 48848 LibreCat | DOI
 

2020 | Journal Article | LibreCat-ID: 48836
Benchmarking in Optimization: Best Practice and Open Issues
T. Bartz-Beielstein, C. Doerr, D. van den Berg, J. Bossek, S. Chandrasekaran, T. Eftimov, A. Fischbach, P. Kerschke, W.L. Cava, M. Lopez-Ibanez, K.M. Malan, J.H. Moore, B. Naujoks, P. Orzechowski, V. Volz, M. Wagner, T. Weise, Corr (2020).
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2020 | Conference Paper | LibreCat-ID: 17397
Using Full Duplex Relaying to Reduce Physical Layer Latency in Platooning
M.S. Amjad, T. Hardes, M. Schettler, C. Sommer, F. Dressler, in: 2019 IEEE Vehicular Networking Conference (VNC), 2020.
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2020 | Conference Paper | LibreCat-ID: 17399
Towards Heterogeneous Communication Strategies for Urban Platooning at Intersections
T. Hardes, C. Sommer, in: 2019 IEEE Vehicular Networking Conference (VNC), 2020.
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2020 | Journal Article | LibreCat-ID: 52930
Semantic Technologies for Situation Awareness
F. Baader, S. Borgwardt, P. Koopmann, V. Thost, A.-Y. Turhan, Künstliche Intell. 34 (2020) 543–550.
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