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190 Publications
2020 | Conference Paper | LibreCat-ID: 46329
Riehle, Dennis M., et al. “Building an Integrated Comment Moderation System – Towards a Semi-Automatic Moderation Tool.” Social Computing and Social Media. Participation, User Experience, Consumer Experience, and Applications of Social Computing, edited by Gabriele Meiselwitz, Springer International Publishing, 2020, pp. 71–86.
LibreCat
2020 | Journal Article | LibreCat-ID: 46333
Assenmacher, Dennis, et al. “Demystifying Social Bots: On the Intelligence of Automated Social Media Actors.” Social Media + Society, vol. 6, no. 3, 2020, p. 2056305120939264, doi:10.1177/2056305120939264.
LibreCat
| DOI
2020 | Journal Article | LibreCat-ID: 46334
Bossek, Jakob, et al. “A Multi-Objective Perspective on Performance Assessment and Automated Selection of Single-Objective Optimization Algorithms.” Applied Soft Computing, vol. 88, 2020, p. 105901, doi:https://doi.org/10.1016/j.asoc.2019.105901.
LibreCat
| DOI
2020 | Conference Paper | LibreCat-ID: 46331
Seiler, Moritz Vinzent, et al. “Enhancing Resilience of Deep Learning Networks By Means of Transferable Adversaries.” 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: 46332
Steinhoff, Vera, et al. “Multiobjectivization of Local Search: Single-Objective Optimization Benefits From Multi-Objective Gradient Descent.” Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI), 2020, pp. 2445–2452, doi:10.1109/SSCI47803.2020.9308259.
LibreCat
| DOI
2020 | Conference Paper | LibreCat-ID: 48847
Bossek, Jakob, et al. “More Effective Randomized Search Heuristics for Graph Coloring through Dynamic Optimization.” Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, 2020, pp. 1277–1285, doi:10.1145/3377930.3390174.
LibreCat
| DOI
2020 | Conference Paper | LibreCat-ID: 48849
Bossek, Jakob, et al. “Evolving Sampling Strategies for One-Shot Optimization Tasks.” Parallel Problem Solving from Nature (PPSN XVI), Springer-Verlag, 2020, pp. 111–124, doi:10.1007/978-3-030-58112-1_8.
LibreCat
| DOI
2020 | Conference Paper | LibreCat-ID: 48851
Bossek, Jakob, et al. “The Node Weight Dependent Traveling Salesperson Problem: Approximation Algorithms and Randomized Search Heuristics.” Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, 2020, pp. 1286–1294, doi:10.1145/3377930.3390243.
LibreCat
| DOI
2020 | Conference Paper | LibreCat-ID: 48845
Bossek, Jakob, et al. “Dynamic Bi-Objective Routing of Multiple Vehicles.” Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, 2020, pp. 166–174, doi:10.1145/3377930.3390146.
LibreCat
| DOI
2020 | Conference Paper | LibreCat-ID: 48844
Bossek, Jakob, et al. “Anytime Behavior of Inexact TSP Solvers and Perspectives for Automated Algorithm Selection.” 2020 IEEE Congress on Evolutionary Computation (CEC), IEEE Press, 2020, pp. 1–8, doi:10.1109/CEC48606.2020.9185613.
LibreCat
| DOI
2020 | Conference Paper | LibreCat-ID: 48850
Bossek, Jakob, et al. “Initial Design Strategies and Their Effects on Sequential Model-Based Optimization: An Exploratory Case Study Based on BBOB.” Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, 2020, pp. 778–786, doi:10.1145/3377930.3390155.
LibreCat
| DOI
2020 | Conference Paper | LibreCat-ID: 48852
Bossek, Jakob, et al. “Optimising Tours for the Weighted Traveling Salesperson Problem and the Traveling Thief Problem: A Structural Comparison of Solutions.” Parallel Problem Solving from Nature (PPSN XVI), Springer-Verlag, 2020, pp. 346–359, doi:10.1007/978-3-030-58112-1_24.
LibreCat
| DOI
2020 | Conference Paper | LibreCat-ID: 48846
Bossek, Jakob, et al. “Towards Decision Support in Dynamic Bi-Objective Vehicle Routing.” 2020 IEEE Congress on Evolutionary Computation (CEC), IEEE Press, 2020, pp. 1–8, doi:10.1109/CEC48606.2020.9185778.
LibreCat
| DOI
2020 | Conference Paper | LibreCat-ID: 48879
Do, Anh Viet, et al. “Evolving Diverse Sets of Tours for the Travelling Salesperson Problem.” Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, 2020, pp. 681–689, doi:10.1145/3377930.3389844.
LibreCat
| DOI
2020 | Conference Paper | LibreCat-ID: 48895
Roostapour, Vahid, et al. “Runtime Analysis of Evolutionary Algorithms with Biased Mutation for the Multi-Objective Minimum Spanning Tree Problem.” Proceedings of the 2020 Genetic and Evolutionary Computation Conference, Association for Computing Machinery, 2020, pp. 551–559, doi:10.1145/3377930.3390168.
LibreCat
| DOI
2020 | Conference Paper | LibreCat-ID: 48897
Seiler, Moritz, et al. “Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem.” Parallel Problem Solving from {Nature} (PPSN XVI), Springer-Verlag, 2020, pp. 48–64, doi:10.1007/978-3-030-58112-1_4.
LibreCat
| DOI
2020 | Journal Article | LibreCat-ID: 48848
Bossek, Jakob, et al. “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.
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| DOI
2020 | Journal Article | LibreCat-ID: 48836
Bartz-Beielstein, Thomas, et al. “Benchmarking in Optimization: Best Practice and Open Issues.” Corr, 2020.
LibreCat
2019 | Conference Paper | LibreCat-ID: 46338
Bossek, Jakob, et al. “Bi-Objective Orienteering: Towards a Dynamic Multi-Objective Evolutionary Algorithm.” Evolutionary Multi-Criterion Optimization (EMO), edited by Kalyanmoy Deb et al., vol. 11411, Springer International Publishing, 2019, pp. 516–528, doi:10.1007/978-3-030-12598-1_41.
LibreCat
| DOI
2019 | Conference Paper | LibreCat-ID: 46343
Grimme, Christian, et al. “Multimodality in Multi-Objective Optimization — More Boon than Bane?” Proceedings of the 10$^th$ International Conference on Evolutionary Multi-Criterion Optimization (EMO), edited by Kalyanmoy Deb et al., vol. 11411, Springer, 2019, pp. 126–138, doi:10.1007/978-3-030-12598-1_11.
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