[{"type":"conference","publication":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","status":"public","user_id":"102979","series_title":"GECCO’22","department":[{"_id":"819"}],"_id":"48868","language":[{"iso":"eng"}],"extern":"1","publication_status":"published","publication_identifier":{"isbn":["978-1-4503-9268-6"]},"citation":{"apa":"Bossek, J., Neumann, A., &#38; Neumann, F. (2022). Evolutionary Diversity Optimization for Combinatorial Optimization: Tutorial at GECCO’22, Boston, USA. <i>Proceedings of the Genetic and Evolutionary Computation Conference Companion</i>, 824–842. <a href=\"https://doi.org/10.1145/3520304.3533626\">https://doi.org/10.1145/3520304.3533626</a>","short":"J. Bossek, A. Neumann, F. Neumann, in: Proceedings of the Genetic and Evolutionary Computation Conference Companion, Association for Computing Machinery, New York, NY, USA, 2022, pp. 824–842.","bibtex":"@inproceedings{Bossek_Neumann_Neumann_2022, place={New York, NY, USA}, series={GECCO’22}, title={Evolutionary Diversity Optimization for Combinatorial Optimization: Tutorial at GECCO’22, Boston, USA}, DOI={<a href=\"https://doi.org/10.1145/3520304.3533626\">10.1145/3520304.3533626</a>}, booktitle={Proceedings of the Genetic and Evolutionary Computation Conference Companion}, publisher={Association for Computing Machinery}, author={Bossek, Jakob and Neumann, Aneta and Neumann, Frank}, year={2022}, pages={824–842}, collection={GECCO’22} }","mla":"Bossek, Jakob, et al. “Evolutionary Diversity Optimization for Combinatorial Optimization: Tutorial at GECCO’22, Boston, USA.” <i>Proceedings of the Genetic and Evolutionary Computation Conference Companion</i>, Association for Computing Machinery, 2022, pp. 824–842, doi:<a href=\"https://doi.org/10.1145/3520304.3533626\">10.1145/3520304.3533626</a>.","chicago":"Bossek, Jakob, Aneta Neumann, and Frank Neumann. “Evolutionary Diversity Optimization for Combinatorial Optimization: Tutorial at GECCO’22, Boston, USA.” In <i>Proceedings of the Genetic and Evolutionary Computation Conference Companion</i>, 824–842. GECCO’22. New York, NY, USA: Association for Computing Machinery, 2022. <a href=\"https://doi.org/10.1145/3520304.3533626\">https://doi.org/10.1145/3520304.3533626</a>.","ieee":"J. Bossek, A. Neumann, and F. Neumann, “Evolutionary Diversity Optimization for Combinatorial Optimization: Tutorial at GECCO’22, Boston, USA,” in <i>Proceedings of the Genetic and Evolutionary Computation Conference Companion</i>, 2022, pp. 824–842, doi: <a href=\"https://doi.org/10.1145/3520304.3533626\">10.1145/3520304.3533626</a>.","ama":"Bossek J, Neumann A, Neumann F. Evolutionary Diversity Optimization for Combinatorial Optimization: Tutorial at GECCO’22, Boston, USA. In: <i>Proceedings of the Genetic and Evolutionary Computation Conference Companion</i>. GECCO’22. Association for Computing Machinery; 2022:824–842. doi:<a href=\"https://doi.org/10.1145/3520304.3533626\">10.1145/3520304.3533626</a>"},"page":"824–842","year":"2022","place":"New York, NY, USA","date_created":"2023-11-14T15:58:56Z","author":[{"first_name":"Jakob","orcid":"0000-0002-4121-4668","last_name":"Bossek","full_name":"Bossek, Jakob","id":"102979"},{"first_name":"Aneta","last_name":"Neumann","full_name":"Neumann, Aneta"},{"first_name":"Frank","full_name":"Neumann, Frank","last_name":"Neumann"}],"publisher":"Association for Computing Machinery","date_updated":"2023-12-13T10:46:19Z","doi":"10.1145/3520304.3533626","title":"Evolutionary Diversity Optimization for Combinatorial Optimization: Tutorial at GECCO’22, Boston, USA"},{"_id":"48896","series_title":"GECCO’22","user_id":"102979","department":[{"_id":"819"}],"keyword":["configuration","multi-modality","multi-objective optimization"],"language":[{"iso":"eng"}],"extern":"1","type":"conference","publication":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","abstract":[{"text":"Hardness of Multi-Objective (MO) continuous optimization problems results from an interplay of various problem characteristics, e. g. the degree of multi-modality. We present a benchmark study of classical and diversity focused optimizers on multi-modal MO problems based on automated algorithm configuration. We show the large effect of the latter and investigate the trade-off between convergence in objective space and diversity in decision space.","lang":"eng"}],"status":"public","date_updated":"2023-12-13T10:50:24Z","publisher":"Association for Computing Machinery","author":[{"first_name":"Jeroen","full_name":"Rook, Jeroen","last_name":"Rook"},{"full_name":"Trautmann, Heike","last_name":"Trautmann","first_name":"Heike"},{"last_name":"Bossek","orcid":"0000-0002-4121-4668","full_name":"Bossek, Jakob","id":"102979","first_name":"Jakob"},{"first_name":"Christian","last_name":"Grimme","full_name":"Grimme, Christian"}],"date_created":"2023-11-14T15:59:00Z","title":"On the Potential of Automated Algorithm Configuration on Multi-Modal Multi-Objective Optimization Problems","doi":"10.1145/3520304.3528998","publication_identifier":{"isbn":["978-1-4503-9268-6"]},"year":"2022","place":"New York, NY, USA","citation":{"ieee":"J. Rook, H. Trautmann, J. Bossek, and C. Grimme, “On the Potential of Automated Algorithm Configuration on Multi-Modal Multi-Objective Optimization Problems,” in <i>Proceedings of the Genetic and Evolutionary Computation Conference Companion</i>, 2022, pp. 356–359, doi: <a href=\"https://doi.org/10.1145/3520304.3528998\">10.1145/3520304.3528998</a>.","chicago":"Rook, Jeroen, Heike Trautmann, Jakob Bossek, and Christian Grimme. “On the Potential of Automated Algorithm Configuration on Multi-Modal Multi-Objective Optimization Problems.” In <i>Proceedings of the Genetic and Evolutionary Computation Conference Companion</i>, 356–359. GECCO’22. New York, NY, USA: Association for Computing Machinery, 2022. <a href=\"https://doi.org/10.1145/3520304.3528998\">https://doi.org/10.1145/3520304.3528998</a>.","ama":"Rook J, Trautmann H, Bossek J, Grimme C. On the Potential of Automated Algorithm Configuration on Multi-Modal Multi-Objective Optimization Problems. In: <i>Proceedings of the Genetic and Evolutionary Computation Conference Companion</i>. GECCO’22. Association for Computing Machinery; 2022:356–359. doi:<a href=\"https://doi.org/10.1145/3520304.3528998\">10.1145/3520304.3528998</a>","mla":"Rook, Jeroen, et al. “On the Potential of Automated Algorithm Configuration on Multi-Modal Multi-Objective Optimization Problems.” <i>Proceedings of the Genetic and Evolutionary Computation Conference Companion</i>, Association for Computing Machinery, 2022, pp. 356–359, doi:<a href=\"https://doi.org/10.1145/3520304.3528998\">10.1145/3520304.3528998</a>.","bibtex":"@inproceedings{Rook_Trautmann_Bossek_Grimme_2022, place={New York, NY, USA}, series={GECCO’22}, title={On the Potential of Automated Algorithm Configuration on Multi-Modal Multi-Objective Optimization Problems}, DOI={<a href=\"https://doi.org/10.1145/3520304.3528998\">10.1145/3520304.3528998</a>}, booktitle={Proceedings of the Genetic and Evolutionary Computation Conference Companion}, publisher={Association for Computing Machinery}, author={Rook, Jeroen and Trautmann, Heike and Bossek, Jakob and Grimme, Christian}, year={2022}, pages={356–359}, collection={GECCO’22} }","short":"J. Rook, H. Trautmann, J. Bossek, C. Grimme, in: Proceedings of the Genetic and Evolutionary Computation Conference Companion, Association for Computing Machinery, New York, NY, USA, 2022, pp. 356–359.","apa":"Rook, J., Trautmann, H., Bossek, J., &#38; Grimme, C. (2022). On the Potential of Automated Algorithm Configuration on Multi-Modal Multi-Objective Optimization Problems. <i>Proceedings of the Genetic and Evolutionary Computation Conference Companion</i>, 356–359. <a href=\"https://doi.org/10.1145/3520304.3528998\">https://doi.org/10.1145/3520304.3528998</a>"},"page":"356–359"}]