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USENIX Association, 2020.","ieee":"D. Wermke, N. Huaman, C. Stransky, N. Busch, Y. Acar, and S. Fahl, “Cloudy with a Chance of Misconceptions: Exploring Users’ Perceptions and Expectations of Security and Privacy in Cloud Office Suites,” in <i>Sixteenth Symposium on Usable Privacy and Security, SOUPS 2020, August 7-11, 2020</i>, 2020, pp. 359–377.","ama":"Wermke D, Huaman N, Stransky C, Busch N, Acar Y, Fahl S. Cloudy with a Chance of Misconceptions: Exploring Users’ Perceptions and Expectations of Security and Privacy in Cloud Office Suites. In: Lipford HR, Chiasson S, eds. <i>Sixteenth Symposium on Usable Privacy and Security, SOUPS 2020, August 7-11, 2020</i>. USENIX Association; 2020:359–377."},"page":"359–377","year":"2020","user_id":"14931","department":[{"_id":"34"},{"_id":"858"}],"_id":"47260","extern":"1","language":[{"iso":"eng"}],"type":"conference","publication":"Sixteenth Symposium on Usable Privacy and Security, SOUPS 2020, August 7-11, 2020","status":"public","editor":[{"first_name":"Heather Richter","full_name":"Lipford, Heather Richter","last_name":"Lipford"},{"last_name":"Chiasson","full_name":"Chiasson, Sonia","first_name":"Sonia"}]},{"status":"public","type":"conference","publication":"Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems","extern":"1","language":[{"iso":"eng"}],"_id":"47262","user_id":"14931","department":[{"_id":"34"},{"_id":"858"}],"year":"2020","citation":{"apa":"Gorski, P. L., Acar, Y., Lo Iacono, L., &#38; Fahl, S. (2020). Listen to Developers! A Participatory Design Study on Security Warnings for Cryptographic APIs. <i>Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems</i>. <a href=\"https://doi.org/10.1145/3313831.3376142\">https://doi.org/10.1145/3313831.3376142</a>","bibtex":"@inproceedings{Gorski_Acar_Lo Iacono_Fahl_2020, title={Listen to Developers! A Participatory Design Study on Security Warnings for Cryptographic APIs}, DOI={<a href=\"https://doi.org/10.1145/3313831.3376142\">10.1145/3313831.3376142</a>}, booktitle={Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems}, publisher={ACM}, author={Gorski, Peter Leo and Acar, Yasemin and Lo Iacono, Luigi and Fahl, Sascha}, year={2020} }","short":"P.L. Gorski, Y. Acar, L. Lo Iacono, S. Fahl, in: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, ACM, 2020.","mla":"Gorski, Peter Leo, et al. “Listen to Developers! A Participatory Design Study on Security Warnings for Cryptographic APIs.” <i>Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems</i>, ACM, 2020, doi:<a href=\"https://doi.org/10.1145/3313831.3376142\">10.1145/3313831.3376142</a>.","ama":"Gorski PL, Acar Y, Lo Iacono L, Fahl S. Listen to Developers! A Participatory Design Study on Security Warnings for Cryptographic APIs. In: <i>Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems</i>. ACM; 2020. doi:<a href=\"https://doi.org/10.1145/3313831.3376142\">10.1145/3313831.3376142</a>","ieee":"P. L. Gorski, Y. Acar, L. Lo Iacono, and S. Fahl, “Listen to Developers! A Participatory Design Study on Security Warnings for Cryptographic APIs,” 2020, doi: <a href=\"https://doi.org/10.1145/3313831.3376142\">10.1145/3313831.3376142</a>.","chicago":"Gorski, Peter Leo, Yasemin Acar, Luigi Lo Iacono, and Sascha Fahl. “Listen to Developers! A Participatory Design Study on Security Warnings for Cryptographic APIs.” In <i>Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems</i>. ACM, 2020. <a href=\"https://doi.org/10.1145/3313831.3376142\">https://doi.org/10.1145/3313831.3376142</a>."},"publication_status":"published","title":"Listen to Developers! A Participatory Design Study on Security Warnings for Cryptographic APIs","doi":"10.1145/3313831.3376142","date_updated":"2024-06-05T13:05:10Z","publisher":"ACM","date_created":"2023-09-22T13:00:15Z","author":[{"first_name":"Peter Leo","full_name":"Gorski, Peter Leo","last_name":"Gorski"},{"full_name":"Acar, Yasemin","id":"94636","last_name":"Acar","first_name":"Yasemin"},{"full_name":"Lo Iacono, Luigi","last_name":"Lo Iacono","first_name":"Luigi"},{"full_name":"Fahl, Sascha","last_name":"Fahl","first_name":"Sascha"}]},{"language":[{"iso":"eng"}],"extern":"1","_id":"47879","department":[{"_id":"34"},{"_id":"858"}],"user_id":"14931","status":"public","type":"conference","title":"Smart Home Security and Privacy Mitigations: Consumer Perceptions, Practices, and Challenges","date_updated":"2024-06-05T13:04:04Z","publisher":"International Conference on Human-Computer Interaction, Copenhagen, -1","date_created":"2023-10-09T13:20:44Z","author":[{"first_name":"Julie","last_name":"Haney","full_name":"Haney, Julie"},{"full_name":"Furman, Susanne","last_name":"Furman","first_name":"Susanne"},{"first_name":"Yasemin","last_name":"Acar","id":"94636","full_name":"Acar, Yasemin"}],"year":"2020","citation":{"ama":"Haney J, Furman S, Acar Y. Smart Home Security and Privacy Mitigations: Consumer Perceptions, Practices, and Challenges. In: International Conference on Human-Computer Interaction, Copenhagen, -1; 2020.","chicago":"Haney, Julie, Susanne Furman, and Yasemin Acar. “Smart Home Security and Privacy Mitigations: Consumer Perceptions, Practices, and Challenges.” International Conference on Human-Computer Interaction, Copenhagen, -1, 2020.","ieee":"J. Haney, S. Furman, and Y. Acar, “Smart Home Security and Privacy Mitigations: Consumer Perceptions, Practices, and Challenges,” 2020.","apa":"Haney, J., Furman, S., &#38; Acar, Y. (2020). <i>Smart Home Security and Privacy Mitigations: Consumer Perceptions, Practices, and Challenges</i>.","short":"J. Haney, S. Furman, Y. Acar, in: International Conference on Human-Computer Interaction, Copenhagen, -1, 2020.","bibtex":"@inproceedings{Haney_Furman_Acar_2020, title={Smart Home Security and Privacy Mitigations: Consumer Perceptions, Practices, and Challenges}, publisher={International Conference on Human-Computer Interaction, Copenhagen, -1}, author={Haney, Julie and Furman, Susanne and Acar, Yasemin}, year={2020} }","mla":"Haney, Julie, et al. <i>Smart Home Security and Privacy Mitigations: Consumer Perceptions, Practices, and Challenges</i>. International Conference on Human-Computer Interaction, Copenhagen, -1, 2020."}},{"type":"conference","publication":"Proceedings of the International Joint Conference on Neural Networks (IJCNN)","abstract":[{"lang":"eng","text":"Artificial neural networks in general and deep learning networks in particular established themselves as popular and powerful machine learning algorithms. While the often tremendous sizes of these networks are beneficial when solving complex tasks, the tremendous number of parameters also causes such networks to be vulnerable to malicious behavior such as adversarial perturbations. These perturbations can change a model's classification decision. Moreover, while single-step adversaries can easily be transferred from network to network, the transfer of more powerful multi-step adversaries has - usually - been rather difficult.In this work, we introduce a method for generating strong adversaries that can easily (and frequently) be transferred between different models. This method is then used to generate a large set of adversaries, based on which the effects of selected defense methods are experimentally assessed. At last, we introduce a novel, simple, yet effective approach to enhance the resilience of neural networks against adversaries and benchmark it against established defense methods. In contrast to the already existing methods, our proposed defense approach is much more efficient as it only requires a single additional forward-pass to achieve comparable performance results."}],"status":"public","_id":"46331","user_id":"15504","department":[{"_id":"34"},{"_id":"819"}],"language":[{"iso":"eng"}],"year":"2020","place":"Glasgow, UK","citation":{"bibtex":"@inproceedings{Seiler_Trautmann_Kerschke_2020, place={Glasgow, UK}, title={Enhancing Resilience of Deep Learning Networks By Means of Transferable Adversaries}, DOI={<a href=\"https://doi.org/10.1109/IJCNN48605.2020.9207338\">10.1109/IJCNN48605.2020.9207338</a>}, booktitle={Proceedings of the International Joint Conference on Neural Networks (IJCNN)}, author={Seiler, Moritz and Trautmann, Heike and Kerschke, Pascal}, year={2020}, pages={1–8} }","short":"M. Seiler, H. Trautmann, P. Kerschke, in: Proceedings of the International Joint Conference on Neural Networks (IJCNN), Glasgow, UK, 2020, pp. 1–8.","mla":"Seiler, Moritz, et al. “Enhancing Resilience of Deep Learning Networks By Means of Transferable Adversaries.” <i>Proceedings of the International Joint Conference on Neural Networks (IJCNN)</i>, 2020, pp. 1–8, doi:<a href=\"https://doi.org/10.1109/IJCNN48605.2020.9207338\">10.1109/IJCNN48605.2020.9207338</a>.","apa":"Seiler, M., Trautmann, H., &#38; Kerschke, P. (2020). Enhancing Resilience of Deep Learning Networks By Means of Transferable Adversaries. <i>Proceedings of the International Joint Conference on Neural Networks (IJCNN)</i>, 1–8. <a href=\"https://doi.org/10.1109/IJCNN48605.2020.9207338\">https://doi.org/10.1109/IJCNN48605.2020.9207338</a>","chicago":"Seiler, Moritz, Heike Trautmann, and Pascal Kerschke. “Enhancing Resilience of Deep Learning Networks By Means of Transferable Adversaries.” In <i>Proceedings of the International Joint Conference on Neural Networks (IJCNN)</i>, 1–8. Glasgow, UK, 2020. <a href=\"https://doi.org/10.1109/IJCNN48605.2020.9207338\">https://doi.org/10.1109/IJCNN48605.2020.9207338</a>.","ieee":"M. Seiler, H. Trautmann, and P. Kerschke, “Enhancing Resilience of Deep Learning Networks By Means of Transferable Adversaries,” in <i>Proceedings of the International Joint Conference on Neural Networks (IJCNN)</i>, 2020, pp. 1–8, doi: <a href=\"https://doi.org/10.1109/IJCNN48605.2020.9207338\">10.1109/IJCNN48605.2020.9207338</a>.","ama":"Seiler M, Trautmann H, Kerschke P. Enhancing Resilience of Deep Learning Networks By Means of Transferable Adversaries. In: <i>Proceedings of the International Joint Conference on Neural Networks (IJCNN)</i>. ; 2020:1–8. doi:<a href=\"https://doi.org/10.1109/IJCNN48605.2020.9207338\">10.1109/IJCNN48605.2020.9207338</a>"},"page":"1–8","date_updated":"2024-06-07T07:11:53Z","date_created":"2023-08-04T07:39:48Z","author":[{"first_name":"Moritz","last_name":"Seiler","full_name":"Seiler, Moritz","id":"105520"},{"id":"100740","full_name":"Trautmann, Heike","orcid":"0000-0002-9788-8282","last_name":"Trautmann","first_name":"Heike"},{"first_name":"Pascal","full_name":"Kerschke, Pascal","last_name":"Kerschke"}],"title":"Enhancing Resilience of Deep Learning Networks By Means of Transferable Adversaries","doi":"10.1109/IJCNN48605.2020.9207338"},{"author":[{"first_name":"Larissa","id":"37813","full_name":"Eikermann, Larissa","last_name":"Eikermann","orcid":"https://orcid.org/0009-0009-5980-2458"},{"last_name":"Hansell","full_name":"Hansell, Friederike","first_name":"Friederike"}],"user_id":"37813","supervisor":[{"first_name":"Marie-Theres","last_name":"Albert","full_name":"Albert, Marie-Theres"}],"date_created":"2024-06-07T12:37:51Z","date_updated":"2024-06-07T12:37:54Z","_id":"54663","main_file_link":[{"url":"https://worldheritage-education.eu/resources/conference/Arbeitsblatt%20Erzgebirge%20-%20finale%20Version%20World%20Heritage%20Education.pdf"}],"language":[{"iso":"ger"}],"title":"Unterrichtsmaterial Erzgebirge - World Heritage Education","type":"misc","citation":{"ama":"Eikermann L, Hansell F. <i>Unterrichtsmaterial Erzgebirge - World Heritage Education</i>.; 2020.","chicago":"Eikermann, Larissa, and Friederike Hansell. <i>Unterrichtsmaterial Erzgebirge - World Heritage Education</i>, 2020.","ieee":"L. Eikermann and F. Hansell, <i>Unterrichtsmaterial Erzgebirge - World Heritage Education</i>. 2020.","apa":"Eikermann, L., &#38; Hansell, F. (2020). <i>Unterrichtsmaterial Erzgebirge - World Heritage Education</i>.","bibtex":"@book{Eikermann_Hansell_2020, title={Unterrichtsmaterial Erzgebirge - World Heritage Education}, author={Eikermann, Larissa and Hansell, Friederike}, year={2020} }","mla":"Eikermann, Larissa, and Friederike Hansell. <i>Unterrichtsmaterial Erzgebirge - World Heritage Education</i>. 2020.","short":"L. Eikermann, F. Hansell, Unterrichtsmaterial Erzgebirge - World Heritage Education, 2020."},"status":"public","year":"2020"},{"type":"misc","year":"2020","status":"public","citation":{"short":"L. Eikermann, F. Hansell, Unterrichtsmaterial Erzgebirge - Technology, 2020.","mla":"Eikermann, Larissa, and Friederike Hansell. <i>Unterrichtsmaterial Erzgebirge - Technology</i>. 2020.","bibtex":"@book{Eikermann_Hansell_2020, title={Unterrichtsmaterial Erzgebirge - Technology}, author={Eikermann, Larissa and Hansell, Friederike}, year={2020} }","apa":"Eikermann, L., &#38; Hansell, F. (2020). <i>Unterrichtsmaterial Erzgebirge - Technology</i>.","ama":"Eikermann L, Hansell F. <i>Unterrichtsmaterial Erzgebirge - Technology</i>.; 2020.","chicago":"Eikermann, Larissa, and Friederike Hansell. <i>Unterrichtsmaterial Erzgebirge - Technology</i>, 2020.","ieee":"L. Eikermann and F. Hansell, <i>Unterrichtsmaterial Erzgebirge - Technology</i>. 2020."},"_id":"54662","date_updated":"2024-06-07T12:38:08Z","user_id":"37813","supervisor":[{"full_name":"Albert, Marie-Theres","last_name":"Albert","first_name":"Marie-Theres"}],"author":[{"full_name":"Eikermann, Larissa","id":"37813","orcid":"https://orcid.org/0009-0009-5980-2458","last_name":"Eikermann","first_name":"Larissa"},{"first_name":"Friederike","full_name":"Hansell, Friederike","last_name":"Hansell"}],"date_created":"2024-06-07T12:35:27Z","title":"Unterrichtsmaterial Erzgebirge - Technology","language":[{"iso":"ger"}],"main_file_link":[{"url":"https://worldheritage-education.eu/resources/conference/Arbeitsblatt%20Erzgebirge%20-%20finale%20Version%20Technology.pdf"}]},{"editor":[{"full_name":"Bäck, Thomas","last_name":"Bäck","first_name":"Thomas"},{"full_name":"Preuss, Mike","last_name":"Preuss","first_name":"Mike"},{"first_name":"André","full_name":"Deutz, André","last_name":"Deutz"},{"first_name":"Hao","full_name":"Wang, Hao","last_name":"Wang"},{"last_name":"Doerr","full_name":"Doerr, Carola","first_name":"Carola"},{"full_name":"Emmerich, Michael","last_name":"Emmerich","first_name":"Michael"},{"last_name":"Trautmann","full_name":"Trautmann, Heike","first_name":"Heike"}],"abstract":[{"text":"In this work we focus on the well-known Euclidean Traveling Salesperson Problem (TSP) and two highly competitive inexact heuristic TSP solvers, EAX and LKH, in the context of per-instance algorithm selection (AS). We evolve instances with 1000 nodes where the solvers show strongly different performance profiles. These instances serve as a basis for an exploratory study on the identification of well-discriminating problem characteristics (features). Our results in a nutshell: we show that even though (1) promising features exist, (2) these are in line with previous results from the literature, and (3) models trained with these features are more accurate than models adopting sophisticated feature selection methods, the advantage is not close to the virtual best solver in terms of penalized average runtime and so is the performance gain over the single best solver. However, we show that a feature-free deep neural network based approach solely based on visual representation of the instances already matches classical AS model results and thus shows huge potential for future studies.","lang":"eng"}],"status":"public","publication":"Proceedings of the 16$^th$ International Conference on Parallel Problem Solving from Nature (PPSN XVI)","type":"conference","language":[{"iso":"eng"}],"_id":"46330","department":[{"_id":"34"},{"_id":"819"}],"user_id":"15504","place":"Leiden, The Netherlands","year":"2020","page":"48–64","citation":{"apa":"Seiler, M., Pohl, J., Bossek, J., Kerschke, P., &#38; Trautmann, H. (2020). Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem. In T. Bäck, M. Preuss, A. Deutz, H. Wang, C. Doerr, M. Emmerich, &#38; H. Trautmann (Eds.), <i>Proceedings of the 16$^th$ International Conference on Parallel Problem Solving from Nature (PPSN XVI)</i> (pp. 48–64). <a href=\"https://doi.org/10.1007/978-3-030-58112-1_4\">https://doi.org/10.1007/978-3-030-58112-1_4</a>","bibtex":"@inproceedings{Seiler_Pohl_Bossek_Kerschke_Trautmann_2020, place={Leiden, The Netherlands}, title={Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem}, DOI={<a href=\"https://doi.org/10.1007/978-3-030-58112-1_4\">10.1007/978-3-030-58112-1_4</a>}, booktitle={Proceedings of the 16$^th$ International Conference on Parallel Problem Solving from Nature (PPSN XVI)}, author={Seiler, Moritz and Pohl, Janina and Bossek, Jakob and Kerschke, Pascal and Trautmann, Heike}, editor={Bäck, Thomas and Preuss, Mike and Deutz, André and Wang, Hao and Doerr, Carola and Emmerich, Michael and Trautmann, Heike}, year={2020}, pages={48–64} }","short":"M. Seiler, J. Pohl, J. Bossek, P. Kerschke, H. Trautmann, in: T. Bäck, M. Preuss, A. Deutz, H. Wang, C. Doerr, M. Emmerich, H. Trautmann (Eds.), Proceedings of the 16$^th$ International Conference on Parallel Problem Solving from Nature (PPSN XVI), Leiden, The Netherlands, 2020, pp. 48–64.","mla":"Seiler, Moritz, et al. “Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem.” <i>Proceedings of the 16$^th$ International Conference on Parallel Problem Solving from Nature (PPSN XVI)</i>, edited by Thomas Bäck et al., 2020, pp. 48–64, doi:<a href=\"https://doi.org/10.1007/978-3-030-58112-1_4\">10.1007/978-3-030-58112-1_4</a>.","ama":"Seiler M, Pohl J, Bossek J, Kerschke P, Trautmann H. Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem. In: Bäck T, Preuss M, Deutz A, et al., eds. <i>Proceedings of the 16$^th$ International Conference on Parallel Problem Solving from Nature (PPSN XVI)</i>. ; 2020:48–64. doi:<a href=\"https://doi.org/10.1007/978-3-030-58112-1_4\">10.1007/978-3-030-58112-1_4</a>","ieee":"M. Seiler, J. Pohl, J. Bossek, P. Kerschke, and H. Trautmann, “Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem,” in <i>Proceedings of the 16$^th$ International Conference on Parallel Problem Solving from Nature (PPSN XVI)</i>, 2020, pp. 48–64, doi: <a href=\"https://doi.org/10.1007/978-3-030-58112-1_4\">10.1007/978-3-030-58112-1_4</a>.","chicago":"Seiler, Moritz, Janina Pohl, Jakob Bossek, Pascal Kerschke, and Heike Trautmann. “Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem.” In <i>Proceedings of the 16$^th$ International Conference on Parallel Problem Solving from Nature (PPSN XVI)</i>, edited by Thomas Bäck, Mike Preuss, André Deutz, Hao Wang, Carola Doerr, Michael Emmerich, and Heike Trautmann, 48–64. Leiden, The Netherlands, 2020. <a href=\"https://doi.org/10.1007/978-3-030-58112-1_4\">https://doi.org/10.1007/978-3-030-58112-1_4</a>."},"title":"Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem","doi":"10.1007/978-3-030-58112-1_4","date_updated":"2024-06-10T11:57:13Z","author":[{"first_name":"Moritz","last_name":"Seiler","id":"105520","full_name":"Seiler, Moritz"},{"full_name":"Pohl, Janina","last_name":"Pohl","first_name":"Janina"},{"first_name":"Jakob","last_name":"Bossek","orcid":"0000-0002-4121-4668","id":"102979","full_name":"Bossek, Jakob"},{"last_name":"Kerschke","full_name":"Kerschke, Pascal","first_name":"Pascal"},{"id":"100740","full_name":"Trautmann, Heike","last_name":"Trautmann","orcid":"0000-0002-9788-8282","first_name":"Heike"}],"date_created":"2023-08-04T07:39:05Z"},{"status":"public","abstract":[{"lang":"eng","text":"We build upon a recently proposed multi-objective view onto performance measurement of single-objective stochastic solvers. The trade-off between the fraction of failed runs and the mean runtime of successful runs – both to be minimized – is directly analyzed based on a study on algorithm selection of inexact state-of-the-art solvers for the famous Traveling Salesperson Problem (TSP). Moreover, we adopt the hypervolume indicator (HV) commonly used in multi-objective optimization for simultaneously assessing both conflicting objectives and investigate relations to commonly used performance indicators, both theoretically and empirically. Next to Penalized Average Runtime (PAR) and Penalized Quantile Runtime (PQR), the HV measure is used as a core concept within the construction of per-instance algorithm selection models offering interesting insights into complementary behavior of inexact TSP solvers."}],"type":"journal_article","publication":"Applied Soft Computing","language":[{"iso":"eng"}],"keyword":["Algorithm selection","Multi-objective optimization","Performance measurement","Combinatorial optimization","Traveling Salesperson Problem"],"user_id":"15504","department":[{"_id":"34"},{"_id":"819"}],"_id":"46334","citation":{"chicago":"Bossek, Jakob, Pascal Kerschke, and Heike Trautmann. “A Multi-Objective Perspective on Performance Assessment and Automated Selection of Single-Objective Optimization Algorithms.” <i>Applied Soft Computing</i> 88 (2020): 105901. <a href=\"https://doi.org/10.1016/j.asoc.2019.105901\">https://doi.org/10.1016/j.asoc.2019.105901</a>.","ieee":"J. Bossek, P. Kerschke, and H. Trautmann, “A multi-objective perspective on performance assessment and automated selection of single-objective optimization algorithms,” <i>Applied Soft Computing</i>, vol. 88, p. 105901, 2020, doi: <a href=\"https://doi.org/10.1016/j.asoc.2019.105901\">https://doi.org/10.1016/j.asoc.2019.105901</a>.","ama":"Bossek J, Kerschke P, Trautmann H. A multi-objective perspective on performance assessment and automated selection of single-objective optimization algorithms. <i>Applied Soft Computing</i>. 2020;88:105901. doi:<a href=\"https://doi.org/10.1016/j.asoc.2019.105901\">https://doi.org/10.1016/j.asoc.2019.105901</a>","short":"J. Bossek, P. Kerschke, H. Trautmann, Applied Soft Computing 88 (2020) 105901.","bibtex":"@article{Bossek_Kerschke_Trautmann_2020, title={A multi-objective perspective on performance assessment and automated selection of single-objective optimization algorithms}, volume={88}, DOI={<a href=\"https://doi.org/10.1016/j.asoc.2019.105901\">https://doi.org/10.1016/j.asoc.2019.105901</a>}, journal={Applied Soft Computing}, author={Bossek, Jakob and Kerschke, Pascal and Trautmann, Heike}, year={2020}, pages={105901} }","mla":"Bossek, Jakob, et al. “A Multi-Objective Perspective on Performance Assessment and Automated Selection of Single-Objective Optimization Algorithms.” <i>Applied Soft Computing</i>, vol. 88, 2020, p. 105901, doi:<a href=\"https://doi.org/10.1016/j.asoc.2019.105901\">https://doi.org/10.1016/j.asoc.2019.105901</a>.","apa":"Bossek, J., Kerschke, P., &#38; Trautmann, H. (2020). A multi-objective perspective on performance assessment and automated selection of single-objective optimization algorithms. <i>Applied Soft Computing</i>, <i>88</i>, 105901. <a href=\"https://doi.org/10.1016/j.asoc.2019.105901\">https://doi.org/10.1016/j.asoc.2019.105901</a>"},"page":"105901","intvolume":"        88","year":"2020","publication_identifier":{"issn":["1568-4946"]},"doi":"https://doi.org/10.1016/j.asoc.2019.105901","title":"A multi-objective perspective on performance assessment and automated selection of single-objective optimization algorithms","author":[{"last_name":"Bossek","orcid":"0000-0002-4121-4668","id":"102979","full_name":"Bossek, Jakob","first_name":"Jakob"},{"last_name":"Kerschke","full_name":"Kerschke, Pascal","first_name":"Pascal"},{"first_name":"Heike","full_name":"Trautmann, Heike","id":"100740","orcid":"0000-0002-9788-8282","last_name":"Trautmann"}],"date_created":"2023-08-04T07:42:26Z","volume":88,"date_updated":"2024-06-10T12:00:46Z"},{"date_created":"2023-08-04T07:32:36Z","author":[{"first_name":"Jakob","last_name":"Bossek","orcid":"0000-0002-4121-4668","full_name":"Bossek, Jakob","id":"102979"},{"first_name":"Christian","full_name":"Grimme, Christian","last_name":"Grimme"},{"last_name":"Rudolph","full_name":"Rudolph, Günter","first_name":"Günter"},{"first_name":"Heike","full_name":"Trautmann, Heike","id":"100740","last_name":"Trautmann","orcid":"0000-0002-9788-8282"}],"date_updated":"2024-06-10T12:02:05Z","doi":"10.1109/CEC48606.2020.9185778","title":"Towards Decision Support in Dynamic Bi-Objective Vehicle Routing","citation":{"mla":"Bossek, Jakob, et al. “Towards Decision Support in Dynamic Bi-Objective Vehicle Routing.” <i>Proceedings of the 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>.","bibtex":"@inproceedings{Bossek_Grimme_Rudolph_Trautmann_2020, place={Glasgow, UK}, 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={Proceedings of the IEEE Congress on Evolutionary Computation (CEC)}, author={Bossek, Jakob and Grimme, Christian and Rudolph, Günter and Trautmann, Heike}, year={2020}, pages={1–8} }","short":"J. Bossek, C. Grimme, G. Rudolph, H. Trautmann, in: Proceedings of the IEEE Congress on Evolutionary Computation (CEC), Glasgow, UK, 2020, pp. 1–8.","apa":"Bossek, J., Grimme, C., Rudolph, G., &#38; Trautmann, H. (2020). Towards Decision Support in Dynamic Bi-Objective Vehicle Routing. <i>Proceedings of the 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>","ama":"Bossek J, Grimme C, Rudolph G, Trautmann H. Towards Decision Support in Dynamic Bi-Objective Vehicle Routing. In: <i>Proceedings of the IEEE Congress on Evolutionary Computation (CEC)</i>. ; 2020:1–8. doi:<a href=\"https://doi.org/10.1109/CEC48606.2020.9185778\">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>Proceedings of the 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>Proceedings of the IEEE Congress on Evolutionary Computation (CEC)</i>, 1–8. Glasgow, UK, 2020. <a href=\"https://doi.org/10.1109/CEC48606.2020.9185778\">https://doi.org/10.1109/CEC48606.2020.9185778</a>."},"page":"1–8","place":"Glasgow, UK","year":"2020","user_id":"15504","department":[{"_id":"34"},{"_id":"819"}],"_id":"46322","language":[{"iso":"eng"}],"type":"conference","publication":"Proceedings of the IEEE Congress on Evolutionary Computation (CEC)","status":"public","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 t and analyze all |D| nt 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"}]},{"year":"2020","place":"Glasgow, UK","citation":{"bibtex":"@inproceedings{Bossek_Kerschke_Trautmann_2020, place={Glasgow, UK}, title={Anytime Behavior of Inexact TSP Solvers and Perspectives for Automated Algorithm Selection}, booktitle={Proceedings of the IEEE Congress on Evolutionary Computation (CEC)}, publisher={IEEE}, author={Bossek, Jakob and Kerschke, Pascal and Trautmann, Heike}, year={2020}, pages={1–8} }","short":"J. Bossek, P. Kerschke, H. Trautmann, in: Proceedings of the IEEE Congress on Evolutionary Computation (CEC), IEEE, Glasgow, UK, 2020, pp. 1–8.","mla":"Bossek, Jakob, et al. “Anytime Behavior of Inexact TSP Solvers and Perspectives for Automated Algorithm Selection.” <i>Proceedings of the IEEE Congress on Evolutionary Computation (CEC)</i>, IEEE, 2020, pp. 1–8.","apa":"Bossek, J., Kerschke, P., &#38; Trautmann, H. (2020). Anytime Behavior of Inexact TSP Solvers and Perspectives for Automated Algorithm Selection. <i>Proceedings of the IEEE Congress on Evolutionary Computation (CEC)</i>, 1–8.","ama":"Bossek J, Kerschke P, Trautmann H. Anytime Behavior of Inexact TSP Solvers and Perspectives for Automated Algorithm Selection. In: <i>Proceedings of the IEEE Congress on Evolutionary Computation (CEC)</i>. IEEE; 2020:1–8.","chicago":"Bossek, Jakob, Pascal Kerschke, and Heike Trautmann. “Anytime Behavior of Inexact TSP Solvers and Perspectives for Automated Algorithm Selection.” In <i>Proceedings of the IEEE Congress on Evolutionary Computation (CEC)</i>, 1–8. Glasgow, UK: IEEE, 2020.","ieee":"J. Bossek, P. Kerschke, and H. Trautmann, “Anytime Behavior of Inexact TSP Solvers and Perspectives for Automated Algorithm Selection,” in <i>Proceedings of the IEEE Congress on Evolutionary Computation (CEC)</i>, 2020, pp. 1–8."},"page":"1–8","publisher":"IEEE","date_updated":"2024-06-10T12:01:46Z","author":[{"first_name":"Jakob","last_name":"Bossek","orcid":"0000-0002-4121-4668","id":"102979","full_name":"Bossek, Jakob"},{"full_name":"Kerschke, Pascal","last_name":"Kerschke","first_name":"Pascal"},{"first_name":"Heike","last_name":"Trautmann","orcid":"0000-0002-9788-8282","id":"100740","full_name":"Trautmann, Heike"}],"date_created":"2023-08-04T07:34:40Z","title":"Anytime Behavior of Inexact TSP Solvers and Perspectives for Automated Algorithm Selection","type":"conference","publication":"Proceedings of the 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"}],"status":"public","_id":"46324","user_id":"15504","department":[{"_id":"34"},{"_id":"819"}],"language":[{"iso":"eng"}]},{"type":"conference","publication":"Proceedings of the Genetic and Evolutionary Computation Conference (GECCO ’20)","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"}],"status":"public","_id":"46323","user_id":"15504","department":[{"_id":"34"},{"_id":"819"}],"language":[{"iso":"eng"}],"place":"Cancun, Mexico","year":"2020","citation":{"bibtex":"@inproceedings{Bossek_Grimme_Trautmann_2020, place={Cancun, Mexico}, title={Dynamic Bi-Objective Routing of Multiple Vehicles}, booktitle={Proceedings of the Genetic and Evolutionary Computation Conference (GECCO ’20)}, publisher={ACM}, author={Bossek, Jakob and Grimme, Christian and Trautmann, Heike}, year={2020}, pages={166–174} }","mla":"Bossek, Jakob, et al. “Dynamic Bi-Objective Routing of Multiple Vehicles.” <i>Proceedings of the Genetic and Evolutionary Computation Conference (GECCO ’20)</i>, ACM, 2020, pp. 166–174.","short":"J. Bossek, C. Grimme, H. Trautmann, in: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO ’20), ACM, Cancun, Mexico, 2020, pp. 166–174.","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 (GECCO ’20)</i>, 166–174.","ama":"Bossek J, Grimme C, Trautmann H. Dynamic Bi-Objective Routing of Multiple Vehicles. In: <i>Proceedings of the Genetic and Evolutionary Computation Conference (GECCO ’20)</i>. ACM; 2020:166–174.","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 (GECCO ’20)</i>, 166–174. Cancun, Mexico: ACM, 2020.","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 (GECCO ’20)</i>, 2020, pp. 166–174."},"page":"166–174","publisher":"ACM","date_updated":"2024-06-10T12:01:57Z","author":[{"orcid":"0000-0002-4121-4668","last_name":"Bossek","id":"102979","full_name":"Bossek, Jakob","first_name":"Jakob"},{"last_name":"Grimme","full_name":"Grimme, Christian","first_name":"Christian"},{"last_name":"Trautmann","orcid":"0000-0002-9788-8282","id":"100740","full_name":"Trautmann, Heike","first_name":"Heike"}],"date_created":"2023-08-04T07:33:30Z","title":"Dynamic Bi-Objective Routing of Multiple Vehicles"}]