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Focken et al., 2020, pp. 342–391."}},{"title":"Pluralität und Einheit der Schrift.","year":"2020","status":"public","conference":{"location":"Leipzig"},"author":[{"id":"102100","last_name":"Meyer zu Hörste-Bührer","first_name":"Raphaela","full_name":"Meyer zu Hörste-Bührer, Raphaela"}],"date_updated":"2023-12-13T07:28:56Z","page":"95–122","language":[{"iso":"eng"}],"_id":"49534","user_id":"102100","editor":[{"full_name":"Focken, F.-E.","last_name":"Focken","first_name":"F.-E."},{"full_name":" van Oorschot, F.","first_name":"F.","last_name":" van Oorschot"},{"full_name":"Breu, C.","last_name":"Breu","first_name":"C."}],"publication":"Schriftbindung evangelischer Theologie, Forum Theologische Literaturzeitung 37","citation":{"bibtex":"@inbook{Meyer zu Hörste-Bührer_2020, place={Leipzig}, title={Pluralität und Einheit der Schrift.}, booktitle={Schriftbindung evangelischer Theologie, Forum Theologische Literaturzeitung 37}, author={Meyer zu Hörste-Bührer, Raphaela}, editor={Focken, F.-E. and  van Oorschot, F. and Breu, C.}, year={2020}, pages={95–122} }","ama":"Meyer zu Hörste-Bührer R. Pluralität und Einheit der Schrift. In: Focken F-E,  van Oorschot F, Breu C, eds. <i>Schriftbindung Evangelischer Theologie, Forum Theologische Literaturzeitung 37</i>. ; 2020:95–122.","mla":"Meyer zu Hörste-Bührer, Raphaela. “Pluralität Und Einheit Der Schrift.” <i>Schriftbindung Evangelischer Theologie, Forum Theologische Literaturzeitung 37</i>, edited by F.-E. Focken et al., 2020, pp. 95–122.","short":"R. Meyer zu Hörste-Bührer, in: F.-E. Focken, F.  van Oorschot, C. Breu (Eds.), Schriftbindung Evangelischer Theologie, Forum Theologische Literaturzeitung 37, Leipzig, 2020, pp. 95–122.","chicago":"Meyer zu Hörste-Bührer, Raphaela. “Pluralität Und Einheit Der Schrift.” In <i>Schriftbindung Evangelischer Theologie, Forum Theologische Literaturzeitung 37</i>, edited by F.-E. Focken, F.  van Oorschot, and C. Breu, 95–122. Leipzig, 2020.","ieee":"R. Meyer zu Hörste-Bührer, “Pluralität und Einheit der Schrift.,” in <i>Schriftbindung evangelischer Theologie, Forum Theologische Literaturzeitung 37</i>, F.-E. Focken, F.  van Oorschot, and C. Breu, Eds. Leipzig, 2020, pp. 95–122.","apa":"Meyer zu Hörste-Bührer, R. (2020). Pluralität und Einheit der Schrift. In F.-E. Focken, F.  van Oorschot, &#38; C. Breu (Eds.), <i>Schriftbindung evangelischer Theologie, Forum Theologische Literaturzeitung 37</i> (pp. 95–122)."},"place":"Leipzig","date_created":"2023-12-07T11:12:34Z","type":"book_chapter"},{"user_id":"102100","editor":[{"full_name":"Focken, F.-E.","first_name":"F.-E.","last_name":"Focken"},{"full_name":"van Oorschot, F.","first_name":"F.","last_name":"van Oorschot"},{"first_name":"C.","last_name":"Breu","full_name":"Breu, C."},{"first_name":"W.","last_name":"Bührer","full_name":"Bührer, W."},{"full_name":"Stamer, T.","last_name":"Stamer","first_name":"T."},{"last_name":"Zeller","first_name":"K.","full_name":"Zeller, K."},{"last_name":"Ziethe","first_name":"C.","full_name":"Ziethe, C."}],"language":[{"iso":"eng"}],"_id":"49522","series_title":"Forum Theologische Literaturzeitung 37","date_updated":"2023-12-13T07:29:00Z","title":"Schriftbindung evangelischer Theologie. Theorieelemente aus interdisziplinären Gesprächen.","year":"2020","status":"public","type":"book_editor","date_created":"2023-12-07T10:29:41Z","place":"Leipzig","citation":{"chicago":"Focken, F.-E., F. van Oorschot, C. Breu, W. Bührer, T. Stamer, K. Zeller, and C. Ziethe, eds. <i>Schriftbindung Evangelischer Theologie. Theorieelemente Aus Interdisziplinären Gesprächen.</i> Forum Theologische Literaturzeitung 37. Leipzig, 2020.","ama":"Focken F-E, van Oorschot F, Breu C, et al., eds. <i>Schriftbindung Evangelischer Theologie. Theorieelemente Aus Interdisziplinären Gesprächen.</i>; 2020.","short":"F.-E. Focken, F. van Oorschot, C. Breu, W. Bührer, T. Stamer, K. Zeller, C. Ziethe, eds., Schriftbindung Evangelischer Theologie. Theorieelemente Aus Interdisziplinären Gesprächen., Leipzig, 2020.","bibtex":"@book{Focken_van Oorschot_Breu_Bührer_Stamer_Zeller_Ziethe_2020, place={Leipzig}, series={Forum Theologische Literaturzeitung 37}, title={Schriftbindung evangelischer Theologie. Theorieelemente aus interdisziplinären Gesprächen.}, year={2020}, collection={Forum Theologische Literaturzeitung 37} }","mla":"Focken, F. E., et al., editors. <i>Schriftbindung Evangelischer Theologie. Theorieelemente Aus Interdisziplinären Gesprächen.</i> 2020.","apa":"Focken, F.-E., van Oorschot, F., Breu, C., Bührer, W., Stamer, T., Zeller, K., &#38; Ziethe, C. (Eds.). (2020). <i>Schriftbindung evangelischer Theologie. Theorieelemente aus interdisziplinären Gesprächen.</i>","ieee":"F.-E. Focken <i>et al.</i>, Eds., <i>Schriftbindung evangelischer Theologie. Theorieelemente aus interdisziplinären Gesprächen.</i> Leipzig, 2020."}},{"author":[{"id":"102100","full_name":"Meyer zu Hörste-Bührer, Raphaela","first_name":"Raphaela","last_name":"Meyer zu Hörste-Bührer"}],"title":"Die Gewalt der Ethik? Überlegungen zu Ausübung und Legitimation struktureller Gewalt durch die theologische Ethik.","status":"public","year":"2020","date_updated":"2023-12-13T07:30:10Z","_id":"49531","language":[{"iso":"eng"}],"page":"141 – 156","user_id":"102100","citation":{"apa":"Meyer zu Hörste-Bührer, R. (2020). Die Gewalt der Ethik? Überlegungen zu Ausübung und Legitimation struktureller Gewalt durch die theologische Ethik. <i>Ides Quaerens Intellectum. Festschrift Für Walter Dietz.</i>, 141 – 156.","ieee":"R. Meyer zu Hörste-Bührer, “Die Gewalt der Ethik? Überlegungen zu Ausübung und Legitimation struktureller Gewalt durch die theologische Ethik.,” <i>ides quaerens intellectum. Festschrift für Walter Dietz.</i>, pp. 141 – 156, 2020.","chicago":"Meyer zu Hörste-Bührer, Raphaela. “Die Gewalt Der Ethik? Überlegungen Zu Ausübung Und Legitimation Struktureller Gewalt Durch Die Theologische Ethik.” <i>Ides Quaerens Intellectum. Festschrift Für Walter Dietz.</i>, 2020, 141 – 156.","short":"R. Meyer zu Hörste-Bührer, Ides Quaerens Intellectum. Festschrift Für Walter Dietz. (2020) 141 – 156.","mla":"Meyer zu Hörste-Bührer, Raphaela. “Die Gewalt Der Ethik? Überlegungen Zu Ausübung Und Legitimation Struktureller Gewalt Durch Die Theologische Ethik.” <i>Ides Quaerens Intellectum. Festschrift Für Walter Dietz.</i>, 2020, pp. 141 – 156.","ama":"Meyer zu Hörste-Bührer R. Die Gewalt der Ethik? Überlegungen zu Ausübung und Legitimation struktureller Gewalt durch die theologische Ethik. <i>ides quaerens intellectum Festschrift für Walter Dietz</i>. Published online 2020:141 – 156.","bibtex":"@article{Meyer zu Hörste-Bührer_2020, title={Die Gewalt der Ethik? Überlegungen zu Ausübung und Legitimation struktureller Gewalt durch die theologische Ethik.}, journal={ides quaerens intellectum. Festschrift für Walter Dietz.}, author={Meyer zu Hörste-Bührer, Raphaela}, year={2020}, pages={141 – 156} }"},"publication":"ides quaerens intellectum. Festschrift für Walter Dietz.","date_created":"2023-12-07T11:03:50Z","type":"journal_article"},{"author":[{"last_name":"Meyer zu Hörste-Bührer","first_name":"Raphaela","full_name":"Meyer zu Hörste-Bührer, Raphaela","id":"102100"}],"status":"public","title":"Digitale antike Ethik – Gründung des „Journals of Ethics in Antiquity and Christianity (JEAC)“","year":"2020","date_updated":"2023-12-13T07:29:57Z","_id":"49544","language":[{"iso":"eng"}],"page":"60-65","user_id":"102100","citation":{"mla":"Meyer zu Hörste-Bührer, Raphaela. “Digitale Antike Ethik – Gründung Des „Journals of Ethics in Antiquity and Christianity (JEAC)“.” <i>Zeitschrift Für Evangelische Ethik 64/1 </i>, 2020, pp. 60–65.","bibtex":"@article{Meyer zu Hörste-Bührer_2020, title={Digitale antike Ethik – Gründung des „Journals of Ethics in Antiquity and Christianity (JEAC)“}, journal={Zeitschrift für Evangelische Ethik 64/1 }, author={Meyer zu Hörste-Bührer, Raphaela}, year={2020}, pages={60–65} }","ama":"Meyer zu Hörste-Bührer R. Digitale antike Ethik – Gründung des „Journals of Ethics in Antiquity and Christianity (JEAC)“. <i>Zeitschrift für Evangelische Ethik 64/1 </i>. Published online 2020:60-65.","ieee":"R. Meyer zu Hörste-Bührer, “Digitale antike Ethik – Gründung des „Journals of Ethics in Antiquity and Christianity (JEAC)“,” <i>Zeitschrift für Evangelische Ethik 64/1 </i>, pp. 60–65, 2020.","apa":"Meyer zu Hörste-Bührer, R. (2020). Digitale antike Ethik – Gründung des „Journals of Ethics in Antiquity and Christianity (JEAC)“. <i>Zeitschrift Für Evangelische Ethik 64/1 </i>, 60–65.","chicago":"Meyer zu Hörste-Bührer, Raphaela. “Digitale Antike Ethik – Gründung Des „Journals of Ethics in Antiquity and Christianity (JEAC)“.” <i>Zeitschrift Für Evangelische Ethik 64/1 </i>, 2020, 60–65.","short":"R. Meyer zu Hörste-Bührer, Zeitschrift Für Evangelische Ethik 64/1  (2020) 60–65."},"publication":"Zeitschrift für Evangelische Ethik 64/1 ","date_created":"2023-12-07T11:36:08Z","type":"journal_article"},{"user_id":"102979","page":"1277–1285","_id":"48847","publisher":"Association for Computing Machinery","status":"public","place":"New York, NY, USA","citation":{"mla":"Bossek, Jakob, et al. “More Effective Randomized Search Heuristics for Graph Coloring through Dynamic Optimization.” <i>Proceedings of the Genetic and Evolutionary Computation Conference</i>, Association for Computing Machinery, 2020, pp. 1277–1285, doi:<a href=\"https://doi.org/10.1145/3377930.3390174\">10.1145/3377930.3390174</a>.","ama":"Bossek J, Neumann F, Peng P, Sudholt D. More Effective Randomized Search Heuristics for Graph Coloring through Dynamic Optimization. In: <i>Proceedings of the Genetic and Evolutionary Computation Conference</i>. GECCO ’20. Association for Computing Machinery; 2020:1277–1285. doi:<a href=\"https://doi.org/10.1145/3377930.3390174\">10.1145/3377930.3390174</a>","bibtex":"@inproceedings{Bossek_Neumann_Peng_Sudholt_2020, place={New York, NY, USA}, series={GECCO ’20}, title={More Effective Randomized Search Heuristics for Graph Coloring through Dynamic Optimization}, DOI={<a href=\"https://doi.org/10.1145/3377930.3390174\">10.1145/3377930.3390174</a>}, booktitle={Proceedings of the Genetic and Evolutionary Computation Conference}, publisher={Association for Computing Machinery}, author={Bossek, Jakob and Neumann, Frank and Peng, Pan and Sudholt, Dirk}, year={2020}, pages={1277–1285}, collection={GECCO ’20} }","apa":"Bossek, J., Neumann, F., Peng, P., &#38; Sudholt, D. (2020). More Effective Randomized Search Heuristics for Graph Coloring through Dynamic Optimization. <i>Proceedings of the Genetic and Evolutionary Computation Conference</i>, 1277–1285. <a href=\"https://doi.org/10.1145/3377930.3390174\">https://doi.org/10.1145/3377930.3390174</a>","ieee":"J. Bossek, F. Neumann, P. Peng, and D. Sudholt, “More Effective Randomized Search Heuristics for Graph Coloring through Dynamic Optimization,” in <i>Proceedings of the Genetic and Evolutionary Computation Conference</i>, 2020, pp. 1277–1285, doi: <a href=\"https://doi.org/10.1145/3377930.3390174\">10.1145/3377930.3390174</a>.","short":"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.","chicago":"Bossek, Jakob, Frank Neumann, Pan Peng, and Dirk Sudholt. “More Effective Randomized Search Heuristics for Graph Coloring through Dynamic Optimization.” In <i>Proceedings of the Genetic and Evolutionary Computation Conference</i>, 1277–1285. GECCO ’20. New York, NY, USA: Association for Computing Machinery, 2020. <a href=\"https://doi.org/10.1145/3377930.3390174\">https://doi.org/10.1145/3377930.3390174</a>."},"doi":"10.1145/3377930.3390174","language":[{"iso":"eng"}],"series_title":"GECCO ’20","publication_status":"published","date_updated":"2023-12-13T10:43:41Z","year":"2020","title":"More Effective Randomized Search Heuristics for Graph Coloring through Dynamic Optimization","publication_identifier":{"isbn":["978-1-4503-7128-5"]},"author":[{"full_name":"Bossek, Jakob","last_name":"Bossek","first_name":"Jakob","orcid":"0000-0002-4121-4668","id":"102979"},{"last_name":"Neumann","first_name":"Frank","full_name":"Neumann, Frank"},{"last_name":"Peng","first_name":"Pan","full_name":"Peng, Pan"},{"last_name":"Sudholt","first_name":"Dirk","full_name":"Sudholt, Dirk"}],"type":"conference","keyword":["dynamic optimization","evolutionary algorithms","running time analysis","theory"],"department":[{"_id":"819"}],"date_created":"2023-11-14T15:58:53Z","extern":"1","abstract":[{"text":"Dynamic optimization problems have gained significant attention in evolutionary computation as evolutionary algorithms (EAs) can easily adapt to changing environments. We show that EAs can solve the graph coloring problem for bipartite graphs more efficiently by using dynamic optimization. In our approach the graph instance is given incrementally such that the EA can reoptimize its coloring when a new edge introduces a conflict. We show that, when edges are inserted in a way that preserves graph connectivity, Randomized Local Search (RLS) efficiently finds a proper 2-coloring for all bipartite graphs. This includes graphs for which RLS and other EAs need exponential expected time in a static optimization scenario. We investigate different ways of building up the graph by popular graph traversals such as breadth-first-search and depth-first-search and analyse the resulting runtime behavior. We further show that offspring populations (e. g. a (1 + {$\\lambda$}) RLS) lead to an exponential speedup in {$\\lambda$}. Finally, an island model using 3 islands succeeds in an optimal time of {$\\Theta$}(m) on every m-edge bipartite graph, outperforming offspring populations. This is the first example where an island model guarantees a speedup that is not bounded in the number of islands.","lang":"eng"}],"publication":"Proceedings of the Genetic and Evolutionary Computation Conference"},{"citation":{"chicago":"Bossek, Jakob, Carola Doerr, Pascal Kerschke, Aneta Neumann, and Frank Neumann. “Evolving Sampling Strategies for One-Shot Optimization Tasks.” In <i>Parallel Problem Solving from Nature (PPSN XVI)</i>, 111–124. Berlin, Heidelberg: Springer-Verlag, 2020. <a href=\"https://doi.org/10.1007/978-3-030-58112-1_8\">https://doi.org/10.1007/978-3-030-58112-1_8</a>.","short":"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.","ieee":"J. Bossek, C. Doerr, P. Kerschke, A. Neumann, and F. Neumann, “Evolving Sampling Strategies for One-Shot Optimization Tasks,” in <i>Parallel Problem Solving from Nature (PPSN XVI)</i>, 2020, pp. 111–124, doi: <a href=\"https://doi.org/10.1007/978-3-030-58112-1_8\">10.1007/978-3-030-58112-1_8</a>.","apa":"Bossek, J., Doerr, C., Kerschke, P., Neumann, A., &#38; Neumann, F. (2020). Evolving Sampling Strategies for One-Shot Optimization Tasks. <i>Parallel Problem Solving from Nature (PPSN XVI)</i>, 111–124. <a href=\"https://doi.org/10.1007/978-3-030-58112-1_8\">https://doi.org/10.1007/978-3-030-58112-1_8</a>","bibtex":"@inproceedings{Bossek_Doerr_Kerschke_Neumann_Neumann_2020, place={Berlin, Heidelberg}, title={Evolving Sampling Strategies for One-Shot Optimization Tasks}, DOI={<a href=\"https://doi.org/10.1007/978-3-030-58112-1_8\">10.1007/978-3-030-58112-1_8</a>}, booktitle={Parallel Problem Solving from Nature (PPSN XVI)}, publisher={Springer-Verlag}, author={Bossek, Jakob and Doerr, Carola and Kerschke, Pascal and Neumann, Aneta and Neumann, Frank}, year={2020}, pages={111–124} }","ama":"Bossek J, Doerr C, Kerschke P, Neumann A, Neumann F. Evolving Sampling Strategies for One-Shot Optimization Tasks. In: <i>Parallel Problem Solving from Nature (PPSN XVI)</i>. Springer-Verlag; 2020:111–124. doi:<a href=\"https://doi.org/10.1007/978-3-030-58112-1_8\">10.1007/978-3-030-58112-1_8</a>","mla":"Bossek, Jakob, et al. “Evolving Sampling Strategies for One-Shot Optimization Tasks.” <i>Parallel Problem Solving from Nature (PPSN XVI)</i>, Springer-Verlag, 2020, pp. 111–124, doi:<a href=\"https://doi.org/10.1007/978-3-030-58112-1_8\">10.1007/978-3-030-58112-1_8</a>."},"place":"Berlin, Heidelberg","status":"public","user_id":"102979","_id":"48849","publisher":"Springer-Verlag","page":"111–124","extern":"1","abstract":[{"lang":"eng","text":"One-shot optimization tasks require to determine the set of solution candidates prior to their evaluation, i.e., without possibility for adaptive sampling. We consider two variants, classic one-shot optimization (where our aim is to find at least one solution of high quality) and one-shot regression (where the goal is to fit a model that resembles the true problem as well as possible). For both tasks it seems intuitive that well-distributed samples should perform better than uniform or grid-based samples, since they show a better coverage of the decision space. In practice, quasi-random designs such as Latin Hypercube Samples and low-discrepancy point sets are indeed very commonly used designs for one-shot optimization tasks. We study in this work how well low star discrepancy correlates with performance in one-shot optimization. Our results confirm an advantage of low-discrepancy designs, but also indicate the correlation between discrepancy values and overall performance is rather weak. We then demonstrate that commonly used designs may be far from optimal. More precisely, we evolve 24 very specific designs that each achieve good performance on one of our benchmark problems. Interestingly, we find that these specifically designed samples yield surprisingly good performance across the whole benchmark set. Our results therefore give strong indication that significant performance gains over state-of-the-art one-shot sampling techniques are possible, and that evolutionary algorithms can be an efficient means to evolve these."}],"publication":"Parallel Problem Solving from Nature (PPSN XVI)","department":[{"_id":"819"}],"type":"conference","keyword":["Continuous optimization","Fully parallel search","One-shot optimization","Regression","Surrogate-assisted optimization"],"date_created":"2023-11-14T15:58:53Z","publication_status":"published","date_updated":"2023-12-13T10:43:53Z","publication_identifier":{"isbn":["978-3-030-58111-4"]},"author":[{"id":"102979","last_name":"Bossek","orcid":"0000-0002-4121-4668","first_name":"Jakob","full_name":"Bossek, Jakob"},{"full_name":"Doerr, Carola","last_name":"Doerr","first_name":"Carola"},{"full_name":"Kerschke, Pascal","last_name":"Kerschke","first_name":"Pascal"},{"full_name":"Neumann, Aneta","last_name":"Neumann","first_name":"Aneta"},{"full_name":"Neumann, Frank","last_name":"Neumann","first_name":"Frank"}],"year":"2020","title":"Evolving Sampling Strategies for One-Shot Optimization Tasks","doi":"10.1007/978-3-030-58112-1_8","language":[{"iso":"eng"}]},{"status":"public","page":"1286–1294","publisher":"Association for Computing Machinery","_id":"48851","user_id":"102979","citation":{"chicago":"Bossek, Jakob, Katrin Casel, Pascal Kerschke, and Frank Neumann. “The Node Weight Dependent Traveling Salesperson Problem: Approximation Algorithms and Randomized Search Heuristics.” In <i>Proceedings of the Genetic and Evolutionary Computation Conference</i>, 1286–1294. GECCO ’20. New York, NY, USA: Association for Computing Machinery, 2020. <a href=\"https://doi.org/10.1145/3377930.3390243\">https://doi.org/10.1145/3377930.3390243</a>.","short":"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.","ieee":"J. Bossek, K. Casel, P. Kerschke, and F. Neumann, “The Node Weight Dependent Traveling Salesperson Problem: Approximation Algorithms and Randomized Search Heuristics,” in <i>Proceedings of the Genetic and Evolutionary Computation Conference</i>, 2020, pp. 1286–1294, doi: <a href=\"https://doi.org/10.1145/3377930.3390243\">10.1145/3377930.3390243</a>.","apa":"Bossek, J., Casel, K., Kerschke, P., &#38; Neumann, F. (2020). The Node Weight Dependent Traveling Salesperson Problem: Approximation Algorithms and Randomized Search Heuristics. <i>Proceedings of the Genetic and Evolutionary Computation Conference</i>, 1286–1294. <a href=\"https://doi.org/10.1145/3377930.3390243\">https://doi.org/10.1145/3377930.3390243</a>","bibtex":"@inproceedings{Bossek_Casel_Kerschke_Neumann_2020, place={New York, NY, USA}, series={GECCO ’20}, title={The Node Weight Dependent Traveling Salesperson Problem: Approximation Algorithms and Randomized Search Heuristics}, DOI={<a href=\"https://doi.org/10.1145/3377930.3390243\">10.1145/3377930.3390243</a>}, booktitle={Proceedings of the Genetic and Evolutionary Computation Conference}, publisher={Association for Computing Machinery}, author={Bossek, Jakob and Casel, Katrin and Kerschke, Pascal and Neumann, Frank}, year={2020}, pages={1286–1294}, collection={GECCO ’20} }","ama":"Bossek J, Casel K, Kerschke P, Neumann F. The Node Weight Dependent Traveling Salesperson Problem: Approximation Algorithms and Randomized Search Heuristics. In: <i>Proceedings of the Genetic and Evolutionary Computation Conference</i>. GECCO ’20. Association for Computing Machinery; 2020:1286–1294. doi:<a href=\"https://doi.org/10.1145/3377930.3390243\">10.1145/3377930.3390243</a>","mla":"Bossek, Jakob, et al. “The Node Weight Dependent Traveling Salesperson Problem: Approximation Algorithms and Randomized Search Heuristics.” <i>Proceedings of the Genetic and Evolutionary Computation Conference</i>, Association for Computing Machinery, 2020, pp. 1286–1294, doi:<a href=\"https://doi.org/10.1145/3377930.3390243\">10.1145/3377930.3390243</a>."},"place":"New York, NY, USA","title":"The Node Weight Dependent Traveling Salesperson Problem: Approximation Algorithms and Randomized Search Heuristics","year":"2020","author":[{"id":"102979","full_name":"Bossek, Jakob","last_name":"Bossek","orcid":"0000-0002-4121-4668","first_name":"Jakob"},{"first_name":"Katrin","last_name":"Casel","full_name":"Casel, Katrin"},{"full_name":"Kerschke, Pascal","first_name":"Pascal","last_name":"Kerschke"},{"full_name":"Neumann, Frank","first_name":"Frank","last_name":"Neumann"}],"publication_identifier":{"isbn":["978-1-4503-7128-5"]},"date_updated":"2023-12-13T10:43:33Z","publication_status":"published","series_title":"GECCO ’20","language":[{"iso":"eng"}],"doi":"10.1145/3377930.3390243","publication":"Proceedings of the Genetic and Evolutionary Computation Conference","abstract":[{"lang":"eng","text":"Several important optimization problems in the area of vehicle routing can be seen as variants of the classical Traveling Salesperson Problem (TSP). In the area of evolutionary computation, the Traveling Thief Problem (TTP) has gained increasing interest over the last 5 years. In this paper, we investigate the effect of weights on such problems, in the sense that the cost of traveling increases with respect to the weights of nodes already visited during a tour. This provides abstractions of important TSP variants such as the Traveling Thief Problem and time dependent TSP variants, and allows to study precisely the increase in difficulty caused by weight dependence. We provide a 3.59-approximation for this weight dependent version of TSP with metric distances and bounded positive weights. Furthermore, we conduct experimental investigations for simple randomized local search with classical mutation operators and two variants of the state-of-the-art evolutionary algorithm EAX adapted to the weighted TSP. Our results show the impact of the node weights on the position of the nodes in the resulting tour."}],"extern":"1","date_created":"2023-11-14T15:58:53Z","keyword":["dynamic optimization","evolutionary algorithms","running time analysis","theory"],"type":"conference","department":[{"_id":"819"}]},{"abstract":[{"text":"In practice, e.g. in delivery and service scenarios, Vehicle-Routing-Problems (VRPs) often imply repeated decision making on dynamic customer requests. As in classical VRPs, tours have to be planned short while the number of serviced customers has to be maximized at the same time resulting in a multi-objective problem. Beyond that, however, dynamic requests lead to the need for re-planning of not yet realized tour parts, while already realized tour parts are irreversible. In this paper we study this type of bi-objective dynamic VRP including sequential decision making and concurrent realization of decisions. We adopt a recently proposed Dynamic Evolutionary Multi-Objective Algorithm (DEMOA) for a related VRP problem and extend it to the more realistic (here considered) scenario of multiple vehicles. We empirically show that our DEMOA is competitive with a multi-vehicle offline and clairvoyant variant of the proposed DEMOA as well as with the dynamic single-vehicle approach proposed earlier.","lang":"eng"}],"extern":"1","publication":"Proceedings of the Genetic and Evolutionary Computation Conference","department":[{"_id":"819"}],"keyword":["decision making","dynamic optimization","evolutionary algorithms","multi-objective optimization","vehicle routing"],"type":"conference","date_created":"2023-11-14T15:58:52Z","date_updated":"2023-12-13T10:43:24Z","publication_status":"published","author":[{"first_name":"Jakob","last_name":"Bossek","orcid":"0000-0002-4121-4668","full_name":"Bossek, Jakob","id":"102979"},{"last_name":"Grimme","first_name":"Christian","full_name":"Grimme, Christian"},{"full_name":"Trautmann, Heike","first_name":"Heike","last_name":"Trautmann"}],"publication_identifier":{"isbn":["978-1-4503-7128-5"]},"year":"2020","title":"Dynamic Bi-Objective Routing of Multiple Vehicles","doi":"10.1145/3377930.3390146","series_title":"GECCO ’20","language":[{"iso":"eng"}],"citation":{"chicago":"Bossek, Jakob, Christian Grimme, and Heike Trautmann. “Dynamic Bi-Objective Routing of Multiple Vehicles.” In <i>Proceedings of the Genetic and Evolutionary Computation Conference</i>, 166–174. GECCO ’20. New York, NY, USA: Association for Computing Machinery, 2020. <a href=\"https://doi.org/10.1145/3377930.3390146\">https://doi.org/10.1145/3377930.3390146</a>.","short":"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.","ieee":"J. Bossek, C. Grimme, and H. Trautmann, “Dynamic Bi-Objective Routing of Multiple Vehicles,” in <i>Proceedings of the Genetic and Evolutionary Computation Conference</i>, 2020, pp. 166–174, doi: <a href=\"https://doi.org/10.1145/3377930.3390146\">10.1145/3377930.3390146</a>.","apa":"Bossek, J., Grimme, C., &#38; Trautmann, H. (2020). Dynamic Bi-Objective Routing of Multiple Vehicles. <i>Proceedings of the Genetic and Evolutionary Computation Conference</i>, 166–174. <a href=\"https://doi.org/10.1145/3377930.3390146\">https://doi.org/10.1145/3377930.3390146</a>","bibtex":"@inproceedings{Bossek_Grimme_Trautmann_2020, place={New York, NY, USA}, series={GECCO ’20}, title={Dynamic Bi-Objective Routing of Multiple Vehicles}, DOI={<a href=\"https://doi.org/10.1145/3377930.3390146\">10.1145/3377930.3390146</a>}, booktitle={Proceedings of the Genetic and Evolutionary Computation Conference}, publisher={Association for Computing Machinery}, author={Bossek, Jakob and Grimme, Christian and Trautmann, Heike}, year={2020}, pages={166–174}, collection={GECCO ’20} }","ama":"Bossek J, Grimme C, Trautmann H. Dynamic Bi-Objective Routing of Multiple Vehicles. In: <i>Proceedings of the Genetic and Evolutionary Computation Conference</i>. GECCO ’20. Association for Computing Machinery; 2020:166–174. doi:<a href=\"https://doi.org/10.1145/3377930.3390146\">10.1145/3377930.3390146</a>","mla":"Bossek, Jakob, et al. “Dynamic Bi-Objective Routing of Multiple Vehicles.” <i>Proceedings of the Genetic and Evolutionary Computation Conference</i>, Association for Computing Machinery, 2020, pp. 166–174, doi:<a href=\"https://doi.org/10.1145/3377930.3390146\">10.1145/3377930.3390146</a>."},"place":"New York, NY, USA","status":"public","user_id":"102979","_id":"48845","publisher":"Association for Computing Machinery","page":"166–174"},{"language":[{"iso":"eng"}],"_id":"48844","publisher":"IEEE Press","page":"1–8","doi":"10.1109/CEC48606.2020.9185613","user_id":"102979","author":[{"full_name":"Bossek, Jakob","first_name":"Jakob","last_name":"Bossek","orcid":"0000-0002-4121-4668","id":"102979"},{"full_name":"Kerschke, Pascal","last_name":"Kerschke","first_name":"Pascal"},{"full_name":"Trautmann, Heike","last_name":"Trautmann","first_name":"Heike"}],"year":"2020","status":"public","title":"Anytime Behavior of Inexact TSP Solvers and Perspectives for Automated Algorithm Selection","date_updated":"2023-12-13T10:43:16Z","publication_status":"published","place":"Glasgow, United Kingdom","date_created":"2023-11-14T15:58:52Z","department":[{"_id":"819"}],"type":"conference","citation":{"apa":"Bossek, J., Kerschke, P., &#38; Trautmann, H. (2020). Anytime Behavior of Inexact TSP Solvers and Perspectives for Automated Algorithm Selection. <i>2020 IEEE Congress on Evolutionary Computation (CEC)</i>, 1–8. <a href=\"https://doi.org/10.1109/CEC48606.2020.9185613\">https://doi.org/10.1109/CEC48606.2020.9185613</a>","ieee":"J. Bossek, P. Kerschke, and H. Trautmann, “Anytime Behavior of Inexact TSP Solvers and Perspectives for Automated Algorithm Selection,” in <i>2020 IEEE Congress on Evolutionary Computation (CEC)</i>, 2020, pp. 1–8, doi: <a href=\"https://doi.org/10.1109/CEC48606.2020.9185613\">10.1109/CEC48606.2020.9185613</a>.","chicago":"Bossek, Jakob, Pascal Kerschke, and Heike Trautmann. “Anytime Behavior of Inexact TSP Solvers and Perspectives for Automated Algorithm Selection.” In <i>2020 IEEE Congress on Evolutionary Computation (CEC)</i>, 1–8. Glasgow, United Kingdom: IEEE Press, 2020. <a href=\"https://doi.org/10.1109/CEC48606.2020.9185613\">https://doi.org/10.1109/CEC48606.2020.9185613</a>.","short":"J. Bossek, P. Kerschke, H. Trautmann, in: 2020 IEEE Congress on Evolutionary Computation (CEC), IEEE Press, Glasgow, United Kingdom, 2020, pp. 1–8.","mla":"Bossek, Jakob, et al. “Anytime Behavior of Inexact TSP Solvers and Perspectives for Automated Algorithm Selection.” <i>2020 IEEE Congress on Evolutionary Computation (CEC)</i>, IEEE Press, 2020, pp. 1–8, doi:<a href=\"https://doi.org/10.1109/CEC48606.2020.9185613\">10.1109/CEC48606.2020.9185613</a>.","ama":"Bossek J, Kerschke P, Trautmann H. Anytime Behavior of Inexact TSP Solvers and Perspectives for Automated Algorithm Selection. In: <i>2020 IEEE Congress on Evolutionary Computation (CEC)</i>. IEEE Press; 2020:1–8. doi:<a href=\"https://doi.org/10.1109/CEC48606.2020.9185613\">10.1109/CEC48606.2020.9185613</a>","bibtex":"@inproceedings{Bossek_Kerschke_Trautmann_2020, place={Glasgow, United Kingdom}, title={Anytime Behavior of Inexact TSP Solvers and Perspectives for Automated Algorithm Selection}, DOI={<a href=\"https://doi.org/10.1109/CEC48606.2020.9185613\">10.1109/CEC48606.2020.9185613</a>}, booktitle={2020 IEEE Congress on Evolutionary Computation (CEC)}, publisher={IEEE Press}, author={Bossek, Jakob and Kerschke, Pascal and Trautmann, Heike}, year={2020}, pages={1–8} }"},"publication":"2020 IEEE Congress on Evolutionary Computation (CEC)","abstract":[{"text":"The Traveling-Salesperson-Problem (TSP) is arguably one of the best-known NP-hard combinatorial optimization problems. The two sophisticated heuristic solvers LKH and EAX and respective (restart) variants manage to calculate close-to optimal or even optimal solutions, also for large instances with several thousand nodes in reasonable time. In this work we extend existing benchmarking studies by addressing anytime behaviour of inexact TSP solvers based on empirical runtime distributions leading to an increased understanding of solver behaviour and the respective relation to problem hardness. It turns out that performance ranking of solvers is highly dependent on the focused approximation quality. Insights on intersection points of performances offer huge potential for the construction of hybridized solvers depending on instance features. Moreover, instance features tailored to anytime performance and corresponding performance indicators will highly improve automated algorithm selection models by including comprehensive information on solver quality.","lang":"eng"}],"extern":"1"},{"_id":"48850","publisher":"Association for Computing Machinery","page":"778–786","user_id":"102979","status":"public","place":"New York, NY, USA","citation":{"short":"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.","chicago":"Bossek, Jakob, Carola Doerr, and Pascal Kerschke. “Initial Design Strategies and Their Effects on Sequential Model-Based Optimization: An Exploratory Case Study Based on BBOB.” In <i>Proceedings of the Genetic and Evolutionary Computation Conference</i>, 778–786. GECCO ’20. New York, NY, USA: Association for Computing Machinery, 2020. <a href=\"https://doi.org/10.1145/3377930.3390155\">https://doi.org/10.1145/3377930.3390155</a>.","apa":"Bossek, J., Doerr, C., &#38; Kerschke, P. (2020). Initial Design Strategies and Their Effects on Sequential Model-Based Optimization: An Exploratory Case Study Based on BBOB. <i>Proceedings of the Genetic and Evolutionary Computation Conference</i>, 778–786. <a href=\"https://doi.org/10.1145/3377930.3390155\">https://doi.org/10.1145/3377930.3390155</a>","ieee":"J. Bossek, C. Doerr, and P. Kerschke, “Initial Design Strategies and Their Effects on Sequential Model-Based Optimization: An Exploratory Case Study Based on BBOB,” in <i>Proceedings of the Genetic and Evolutionary Computation Conference</i>, 2020, pp. 778–786, doi: <a href=\"https://doi.org/10.1145/3377930.3390155\">10.1145/3377930.3390155</a>.","ama":"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: <i>Proceedings of the Genetic and Evolutionary Computation Conference</i>. GECCO ’20. Association for Computing Machinery; 2020:778–786. doi:<a href=\"https://doi.org/10.1145/3377930.3390155\">10.1145/3377930.3390155</a>","bibtex":"@inproceedings{Bossek_Doerr_Kerschke_2020, place={New York, NY, USA}, series={GECCO ’20}, title={Initial Design Strategies and Their Effects on Sequential Model-Based Optimization: An Exploratory Case Study Based on BBOB}, DOI={<a href=\"https://doi.org/10.1145/3377930.3390155\">10.1145/3377930.3390155</a>}, booktitle={Proceedings of the Genetic and Evolutionary Computation Conference}, publisher={Association for Computing Machinery}, author={Bossek, Jakob and Doerr, Carola and Kerschke, Pascal}, year={2020}, pages={778–786}, collection={GECCO ’20} }","mla":"Bossek, Jakob, et al. “Initial Design Strategies and Their Effects on Sequential Model-Based Optimization: An Exploratory Case Study Based on BBOB.” <i>Proceedings of the Genetic and Evolutionary Computation Conference</i>, Association for Computing Machinery, 2020, pp. 778–786, doi:<a href=\"https://doi.org/10.1145/3377930.3390155\">10.1145/3377930.3390155</a>."},"series_title":"GECCO ’20","language":[{"iso":"eng"}],"doi":"10.1145/3377930.3390155","author":[{"first_name":"Jakob","orcid":"0000-0002-4121-4668","last_name":"Bossek","full_name":"Bossek, Jakob","id":"102979"},{"full_name":"Doerr, Carola","first_name":"Carola","last_name":"Doerr"},{"last_name":"Kerschke","first_name":"Pascal","full_name":"Kerschke, Pascal"}],"publication_identifier":{"isbn":["978-1-4503-7128-5"]},"year":"2020","title":"Initial Design Strategies and Their Effects on Sequential Model-Based Optimization: An Exploratory Case Study Based on BBOB","date_updated":"2023-12-13T10:44:01Z","publication_status":"published","date_created":"2023-11-14T15:58:53Z","department":[{"_id":"819"}],"keyword":["continuous black-box optimization","design of experiments","initial design","sequential model-based optimization"],"type":"conference","publication":"Proceedings of the Genetic and Evolutionary Computation Conference","abstract":[{"text":"Sequential model-based optimization (SMBO) approaches are algorithms for solving problems that require computationally or otherwise expensive function evaluations. The key design principle of SMBO is a substitution of the true objective function by a surrogate, which is used to propose the point(s) to be evaluated next. SMBO algorithms are intrinsically modular, leaving the user with many important design choices. Significant research efforts go into understanding which settings perform best for which type of problems. Most works, however, focus on the choice of the model, the acquisition function, and the strategy used to optimize the latter. The choice of the initial sampling strategy, however, receives much less attention. Not surprisingly, quite diverging recommendations can be found in the literature. We analyze in this work how the size and the distribution of the initial sample influences the overall quality of the efficient global optimization (EGO) algorithm, a well-known SMBO approach. While, overall, small initial budgets using Halton sampling seem preferable, we also observe that the performance landscape is rather unstructured. We furthermore identify several situations in which EGO performs unfavorably against random sampling. Both observations indicate that an adaptive SMBO design could be beneficial, making SMBO an interesting test-bed for automated algorithm design.","lang":"eng"}],"extern":"1"},{"publication":"Parallel Problem Solving from Nature (PPSN XVI)","abstract":[{"lang":"eng","text":"The Traveling Salesperson Problem (TSP) is one of the best-known combinatorial optimisation problems. However, many real-world problems are composed of several interacting components. The Traveling Thief Problem (TTP) addresses such interactions by combining two combinatorial optimisation problems, namely the TSP and the Knapsack Problem (KP). Recently, a new problem called the node weight dependent Traveling Salesperson Problem (W-TSP) has been introduced where nodes have weights that influence the cost of the tour. In this paper, we compare W-TSP and TTP. We investigate the structure of the optimised tours for W-TSP and TTP and the impact of using each others fitness function. Our experimental results suggest (1) that the W-TSP often can be solved better using the TTP fitness function and (2) final W-TSP and TTP solutions show different distributions when compared with optimal TSP or weighted greedy solutions."}],"extern":"1","date_created":"2023-11-14T15:58:54Z","keyword":["Evolutionary algorithms","Node weight dependent TSP","Traveling Thief Problem"],"type":"conference","department":[{"_id":"819"}],"title":"Optimising Tours for the Weighted Traveling Salesperson Problem and the Traveling Thief Problem: A Structural Comparison of Solutions","year":"2020","publication_identifier":{"isbn":["978-3-030-58111-4"]},"author":[{"id":"102979","first_name":"Jakob","orcid":"0000-0002-4121-4668","last_name":"Bossek","full_name":"Bossek, Jakob"},{"full_name":"Neumann, Aneta","last_name":"Neumann","first_name":"Aneta"},{"full_name":"Neumann, Frank","last_name":"Neumann","first_name":"Frank"}],"date_updated":"2023-12-13T10:44:54Z","publication_status":"published","language":[{"iso":"eng"}],"doi":"10.1007/978-3-030-58112-1_24","citation":{"ama":"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: <i>Parallel Problem Solving from Nature (PPSN XVI)</i>. Springer-Verlag; 2020:346–359. doi:<a href=\"https://doi.org/10.1007/978-3-030-58112-1_24\">10.1007/978-3-030-58112-1_24</a>","bibtex":"@inproceedings{Bossek_Neumann_Neumann_2020, place={Berlin, Heidelberg}, title={Optimising Tours for the Weighted Traveling Salesperson Problem and the Traveling Thief Problem: A Structural Comparison of Solutions}, DOI={<a href=\"https://doi.org/10.1007/978-3-030-58112-1_24\">10.1007/978-3-030-58112-1_24</a>}, booktitle={Parallel Problem Solving from Nature (PPSN XVI)}, publisher={Springer-Verlag}, author={Bossek, Jakob and Neumann, Aneta and Neumann, Frank}, year={2020}, pages={346–359} }","mla":"Bossek, Jakob, et al. “Optimising Tours for the Weighted Traveling Salesperson Problem and the Traveling Thief Problem: A Structural Comparison of Solutions.” <i>Parallel Problem Solving from Nature (PPSN XVI)</i>, Springer-Verlag, 2020, pp. 346–359, doi:<a href=\"https://doi.org/10.1007/978-3-030-58112-1_24\">10.1007/978-3-030-58112-1_24</a>.","short":"J. Bossek, A. Neumann, F. Neumann, in: Parallel Problem Solving from Nature (PPSN XVI), Springer-Verlag, Berlin, Heidelberg, 2020, pp. 346–359.","chicago":"Bossek, Jakob, Aneta Neumann, and Frank Neumann. “Optimising Tours for the Weighted Traveling Salesperson Problem and the Traveling Thief Problem: A Structural Comparison of Solutions.” In <i>Parallel Problem Solving from Nature (PPSN XVI)</i>, 346–359. Berlin, Heidelberg: Springer-Verlag, 2020. <a href=\"https://doi.org/10.1007/978-3-030-58112-1_24\">https://doi.org/10.1007/978-3-030-58112-1_24</a>.","apa":"Bossek, J., Neumann, A., &#38; Neumann, F. (2020). Optimising Tours for the Weighted Traveling Salesperson Problem and the Traveling Thief Problem: A Structural Comparison of Solutions. <i>Parallel Problem Solving from Nature (PPSN XVI)</i>, 346–359. <a href=\"https://doi.org/10.1007/978-3-030-58112-1_24\">https://doi.org/10.1007/978-3-030-58112-1_24</a>","ieee":"J. Bossek, A. Neumann, and F. Neumann, “Optimising Tours for the Weighted Traveling Salesperson Problem and the Traveling Thief Problem: A Structural Comparison of Solutions,” in <i>Parallel Problem Solving from Nature (PPSN XVI)</i>, 2020, pp. 346–359, doi: <a href=\"https://doi.org/10.1007/978-3-030-58112-1_24\">10.1007/978-3-030-58112-1_24</a>."},"place":"Berlin, Heidelberg","status":"public","page":"346–359","_id":"48852","publisher":"Springer-Verlag","user_id":"102979"},{"abstract":[{"text":"We consider a dynamic bi-objective vehicle routing problem, where a subset of customers ask for service over time. Therein, the distance traveled by a single vehicle and the number of unserved dynamic requests is minimized by a dynamic evolutionary multi-objective algorithm (DEMOA), which operates on discrete time windows (eras). A decision is made at each era by a decision-maker, thus any decision depends on irreversible decisions made in foregoing eras. To understand effects of sequences of decision-making and interactions/dependencies between decisions made, we conduct a series of experiments. More precisely, we fix a set of decision-maker preferences D and the number of eras n{$<$}inf{$>$}t{$<$}/inf{$>$} and analyze all $|D|\\^{n_t}$ combinations of decision-maker options. We find that for random uniform instances (a) the final selected solutions mainly depend on the final decision and not on the decision history, (b) solutions are quite robust with respect to the number of unvisited dynamic customers, and (c) solutions of the dynamic approach can even dominate solutions obtained by a clairvoyant EMOA. In contrast, for instances with clustered customers, we observe a strong dependency on decision-making history as well as more variance in solution diversity.","lang":"eng"}],"extern":"1","publication":"2020 IEEE Congress on Evolutionary Computation (CEC)","citation":{"mla":"Bossek, Jakob, et al. “Towards Decision Support in Dynamic Bi-Objective Vehicle Routing.” <i>2020 IEEE Congress on Evolutionary Computation (CEC)</i>, IEEE Press, 2020, pp. 1–8, doi:<a href=\"https://doi.org/10.1109/CEC48606.2020.9185778\">10.1109/CEC48606.2020.9185778</a>.","ama":"Bossek J, Grimme C, Rudolph G, Trautmann H. Towards Decision Support in Dynamic Bi-Objective Vehicle Routing. In: <i>2020 IEEE Congress on Evolutionary Computation (CEC)</i>. IEEE Press; 2020:1–8. doi:<a href=\"https://doi.org/10.1109/CEC48606.2020.9185778\">10.1109/CEC48606.2020.9185778</a>","bibtex":"@inproceedings{Bossek_Grimme_Rudolph_Trautmann_2020, place={Glasgow, United Kingdom}, title={Towards Decision Support in Dynamic Bi-Objective Vehicle Routing}, DOI={<a href=\"https://doi.org/10.1109/CEC48606.2020.9185778\">10.1109/CEC48606.2020.9185778</a>}, booktitle={2020 IEEE Congress on Evolutionary Computation (CEC)}, publisher={IEEE Press}, author={Bossek, Jakob and Grimme, Christian and Rudolph, Günter and Trautmann, Heike}, year={2020}, pages={1–8} }","apa":"Bossek, J., Grimme, C., Rudolph, G., &#38; Trautmann, H. (2020). Towards Decision Support in Dynamic Bi-Objective Vehicle Routing. <i>2020 IEEE Congress on Evolutionary Computation (CEC)</i>, 1–8. <a href=\"https://doi.org/10.1109/CEC48606.2020.9185778\">https://doi.org/10.1109/CEC48606.2020.9185778</a>","ieee":"J. Bossek, C. Grimme, G. Rudolph, and H. Trautmann, “Towards Decision Support in Dynamic Bi-Objective Vehicle Routing,” in <i>2020 IEEE Congress on Evolutionary Computation (CEC)</i>, 2020, pp. 1–8, doi: <a href=\"https://doi.org/10.1109/CEC48606.2020.9185778\">10.1109/CEC48606.2020.9185778</a>.","chicago":"Bossek, Jakob, Christian Grimme, Günter Rudolph, and Heike Trautmann. “Towards Decision Support in Dynamic Bi-Objective Vehicle Routing.” In <i>2020 IEEE Congress on Evolutionary Computation (CEC)</i>, 1–8. Glasgow, United Kingdom: IEEE Press, 2020. <a href=\"https://doi.org/10.1109/CEC48606.2020.9185778\">https://doi.org/10.1109/CEC48606.2020.9185778</a>.","short":"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."},"type":"conference","department":[{"_id":"819"}],"place":"Glasgow, United Kingdom","date_created":"2023-11-14T15:58:53Z","date_updated":"2023-12-13T10:44:17Z","publication_status":"published","title":"Towards Decision Support in Dynamic Bi-Objective Vehicle Routing","status":"public","year":"2020","author":[{"id":"102979","orcid":"0000-0002-4121-4668","last_name":"Bossek","first_name":"Jakob","full_name":"Bossek, Jakob"},{"first_name":"Christian","last_name":"Grimme","full_name":"Grimme, Christian"},{"last_name":"Rudolph","first_name":"Günter","full_name":"Rudolph, Günter"},{"full_name":"Trautmann, Heike","last_name":"Trautmann","first_name":"Heike"}],"doi":"10.1109/CEC48606.2020.9185778","user_id":"102979","page":"1–8","language":[{"iso":"eng"}],"_id":"48846","publisher":"IEEE Press"}]