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204 Publications
2023 | Conference Paper | LibreCat-ID: 48872
Bossek, Jakob, and Dirk Sudholt. “Runtime Analysis of Quality Diversity Algorithms.” Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, 2023, pp. 1546–1554, doi:10.1145/3583131.3590383.
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2023 | Conference Paper | LibreCat-ID: 48886
Marrero, Alejandro, et al. “Generating Diverse and Discriminatory Knapsack Instances by Searching for Novelty in Variable Dimensions of Feature-Space.” Proceedings of the Genetic} and Evolutionary Computation Conference, Association for Computing Machinery, 2023, pp. 312–320, doi:10.1145/3583131.3590504.
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2023 | Journal Article | LibreCat-ID: 48871
Bossek, Jakob, and Dirk Sudholt. “Do Additional Target Points Speed Up Evolutionary Algorithms?” Theoretical Computer Science, 2023, p. 113757, doi:10.1016/j.tcs.2023.113757.
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2023 | Journal Article | LibreCat-ID: 48859
Bossek, Jakob, and Christian Grimme. “On Single-Objective Sub-Graph-Based Mutation for Solving the Bi-Objective Minimum Spanning Tree Problem.” Evolutionary Computation, 2023, pp. 1–35, doi:10.1162/evco_a_00335.
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2023 | Conference Paper | LibreCat-ID: 52530
Prager, Raphael Patrick, and Heike Trautmann. “Investigating the Viability of Existing Exploratory Landscape Analysis Features for Mixed-Integer Problems.” Companion Proceedings of the Conference on Genetic and Evolutionary Computation, GECCO 2023, Companion Volume, Lisbon, Portugal, July 15-19, 2023, edited by Sara Silva and Luís Paquete, ACM, 2023, pp. 451–454, doi:10.1145/3583133.3590757.
LibreCat
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2023 | Journal Article | LibreCat-ID: 46310
Heins, Jonathan, et al. “A Study on the Effects of Normalized TSP Features for Automated Algorithm Selection.” Theoretical Computer Science, vol. 940, 2023, pp. 123–45, doi:https://doi.org/10.1016/j.tcs.2022.10.019.
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2023 | Conference Paper | LibreCat-ID: 48898
Seiler, Moritz, et al. “Using Reinforcement Learning for Per-Instance Algorithm Configuration on the TSP.” 2023 IEEE Symposium Series on Computational Intelligence (SSCI), pp. 361–68, doi:10.1109/SSCI52147.2023.10372008.
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2022 | Book Chapter | LibreCat-ID: 46300
Niemann, Marco, et al. “(Semi-)Automatische Kommentarmoderation Zur Erhaltung Konstruktiver Diskurse.” Hate Speech — Definitionen, Ausprägungen, Lösungen, edited by Gerrit Weitzel and Stephan Mündges, VS Verlag für Sozialwissenschaften, 2022, pp. 249–274, doi:10.1007/978-3-658-35658-3_13.
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2022 | Conference Paper | LibreCat-ID: 46301
Assenmacher, D., and Heike Trautmann. “Textual One-Pass Stream Clustering with Automated Distance Threshold Adaption.” Intelligent Information and Database Systems, edited by T et al. Tran, Springer International Publishing, 2022, pp. 3–16, doi:10.1007/978-3-031-21743-2_1.
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2022 | Journal Article | LibreCat-ID: 46316
Assenmacher, Dennis, et al. “Benchmarking Crisis in Social Media Analytics: A Solution for the Data-Sharing Problem.” Social Science Computer Review, vol. 40, no. 6, 2022, pp. 1496–522, doi:10.1177/08944393211012268.
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2022 | Conference Paper | LibreCat-ID: 46306
Schneider, Lennart, et al. “HPO x ELA: Investigating Hyperparameter Optimization Landscapes by Means of Exploratory Landscape Analysis.” Parallel Problem Solving from Nature — PPSN XVII, edited by Günter Rudolph et al., Springer International Publishing, 2022, pp. 575–589, doi:10.1007/978-3-031-14714-2_40.
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2022 | Journal Article | LibreCat-ID: 46308
Aspar, Pelin, et al. “The Objective That Freed Me: A Multi-Objective Local Search Approach for Continuous Single-Objective Optimization.” Natural Computing, vol. 1, 2022, pp. 1–15, doi:10.1007/s11047-022-09919-w.
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2022 | Conference Paper | LibreCat-ID: 48861
Bossek, Jakob, and Frank Neumann. “Exploring the Feature Space of TSP Instances Using Quality Diversity.” Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, 2022, pp. 186–194, doi:10.1145/3512290.3528851.
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2022 | Conference Paper | LibreCat-ID: 48868
Bossek, Jakob, et al. “Evolutionary Diversity Optimization for Combinatorial Optimization: Tutorial at GECCO’22, Boston, USA.” Proceedings of the Genetic and Evolutionary Computation Conference Companion, Association for Computing Machinery, 2022, pp. 824–842, doi:10.1145/3520304.3533626.
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2022 | Conference Paper | LibreCat-ID: 48882
Heins, Jonathan, et al. “BBE: Basin-Based Evaluation of Multimodal Multi-Objective Optimization Problems.” Parallel Problem Solving from Nature (PPSN XVII), edited by Günter Rudolph et al., Springer International Publishing, 2022, pp. 192–206, doi:10.1007/978-3-031-14714-2_14.
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2022 | Conference Paper | LibreCat-ID: 48894
Nikfarjam, Adel, et al. “Co-Evolutionary Diversity Optimisation for the Traveling Thief Problem.” Parallel Problem Solving from Nature (PPSN XVII), edited by Günter Rudolph et al., Springer International Publishing, 2022, pp. 237–249, doi:10.1007/978-3-031-14714-2_17.
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2022 | Journal Article | LibreCat-ID: 48878
Clever, Lena, et al. “Process-Oriented Stream Classification Pipeline: A Literature Review.” Applied Sciences, vol. 12, no. 18, {Multidisciplinary Digital Publishing Institute}, 2022, p. 9094, doi:10.3390/app12189094.
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2022 | Conference Paper | LibreCat-ID: 48896
Rook, Jeroen, et al. “On the Potential of Automated Algorithm Configuration on Multi-Modal Multi-Objective Optimization Problems.” Proceedings of the Genetic and Evolutionary Computation Conference Companion, Association for Computing Machinery, 2022, pp. 356–359, doi:10.1145/3520304.3528998.
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2022 | Journal Article | LibreCat-ID: 52532
Rodrigues, Agatha S., et al. “Estimation of Component Reliability from Superposed Renewal Processes by Means of Latent Variables.” Comput. Stat., vol. 37, no. 1, 2022, pp. 355–379, doi:10.1007/S00180-021-01124-0.
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2022 | Conference Paper | LibreCat-ID: 46307
Seiler, Moritz, et al. “A Collection of Deep Learning-Based Feature-Free Approaches for Characterizing Single-Objective Continuous Fitness Landscapes.” Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, 2022, pp. 657–665, doi:10.1145/3512290.3528834.
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