Building an Integrated Comment Moderation System – Towards a Semi-automatic Moderation Tool
D.M. Riehle, M. Niemann, J. Brunk, D. Assenmacher, H. Trautmann, J. Becker, in: G. Meiselwitz (Ed.), Social Computing and Social Media. Participation, User Experience, Consumer Experience, and Applications of Social Computing, Springer International Publishing, Cham, 2020, pp. 71–86.
LibreCat: /record/46329

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.
LibreCat: /record/46333
DOI: 10.1177/2056305120939264

A multi-objective perspective on performance assessment and automated selection of single-objective optimization algorithms
J. Bossek, P. Kerschke, H. Trautmann, Applied Soft Computing 88 (2020) 105901.
LibreCat: /record/46334
DOI: https://doi.org/10.1016/j.asoc.2019.105901

Enhancing Resilience of Deep Learning Networks By Means of Transferable Adversaries
M.V. Seiler, H. Trautmann, P. Kerschke, in: Proceedings of the International Joint Conference on Neural Networks (IJCNN), Glasgow, UK, 2020, pp. 1–8.
LibreCat: /record/46331
DOI: 10.1109/IJCNN48605.2020.9207338

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.
LibreCat: /record/46332
DOI: 10.1109/SSCI47803.2020.9308259

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.
LibreCat: /record/48847
DOI: 10.1145/3377930.3390174

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.
LibreCat: /record/48849
DOI: 10.1007/978-3-030-58112-1_8

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.
LibreCat: /record/48851
DOI: 10.1145/3377930.3390243

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.
LibreCat: /record/48845
DOI: 10.1145/3377930.3390146

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.
LibreCat: /record/48844
DOI: 10.1109/CEC48606.2020.9185613

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.
LibreCat: /record/48850
DOI: 10.1145/3377930.3390155

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.
LibreCat: /record/48852
DOI: 10.1007/978-3-030-58112-1_24

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.
LibreCat: /record/48846
DOI: 10.1109/CEC48606.2020.9185778

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.
LibreCat: /record/48879
DOI: 10.1145/3377930.3389844

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.
LibreCat: /record/48895
DOI: 10.1145/3377930.3390168

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.
LibreCat: /record/48897
DOI: 10.1007/978-3-030-58112-1_4

A Multi-Objective Perspective on Performance Assessment and Automated Selection of Single-Objective Optimization Algorithms
J. Bossek, P. Kerschke, H. Trautmann, Applied Soft Computing 88 (2020).
LibreCat: /record/48848
DOI: 10.1016/j.asoc.2019.105901

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).
LibreCat: /record/48836

Bi-Objective Orienteering: Towards a Dynamic Multi-Objective Evolutionary Algorithm
J. Bossek, C. Grimme, S. Meisel, G. Rudolph, H. Trautmann, in: K. Deb, E. Goodman, C.C.A. Coello, K. Klamroth, K. Miettinen, S. Mostaghim, P. Reed (Eds.), Evolutionary Multi-Criterion Optimization (EMO), Springer International Publishing, East Lansing, Michigan, USA, 2019, pp. 516–528.
LibreCat: /record/46338
DOI: 10.1007/978-3-030-12598-1_41

Multimodality in Multi-Objective Optimization — More Boon than Bane?
C. Grimme, P. Kerschke, H. Trautmann, 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), Springer, East Lansing, MI, USA, 2019, pp. 126–138.
LibreCat: /record/46343
DOI: 10.1007/978-3-030-12598-1_11