[{"publication_identifier":{"isbn":["9798400701191"]},"year":"2023","place":"New York, NY, USA","page":"248–256","citation":{"bibtex":"@inproceedings{Bossek_Neumann_Neumann_2023, place={New York, NY, USA}, series={GECCO’23}, title={On the Impact of Basic Mutation Operators and Populations within Evolutionary Algorithms for the Dynamic Weighted Traveling Salesperson Problem}, DOI={<a href=\"https://doi.org/10.1145/3583131.3590384\">10.1145/3583131.3590384</a>}, booktitle={Proceedings of the Genetic and Evolutionary Computation Conference}, publisher={Association for Computing Machinery}, author={Bossek, Jakob and Neumann, Aneta and Neumann, Frank}, year={2023}, pages={248–256}, collection={GECCO’23} }","mla":"Bossek, Jakob, et al. “On the Impact of Basic Mutation Operators and Populations within Evolutionary Algorithms for the Dynamic Weighted Traveling Salesperson Problem.” <i>Proceedings of the Genetic and Evolutionary Computation Conference</i>, Association for Computing Machinery, 2023, pp. 248–256, doi:<a href=\"https://doi.org/10.1145/3583131.3590384\">10.1145/3583131.3590384</a>.","short":"J. Bossek, A. Neumann, F. Neumann, in: Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, New York, NY, USA, 2023, pp. 248–256.","apa":"Bossek, J., Neumann, A., &#38; Neumann, F. (2023). On the Impact of Basic Mutation Operators and Populations within Evolutionary Algorithms for the Dynamic Weighted Traveling Salesperson Problem. <i>Proceedings of the Genetic and Evolutionary Computation Conference</i>, 248–256. <a href=\"https://doi.org/10.1145/3583131.3590384\">https://doi.org/10.1145/3583131.3590384</a>","ama":"Bossek J, Neumann A, Neumann F. On the Impact of Basic Mutation Operators and Populations within Evolutionary Algorithms for the Dynamic Weighted Traveling Salesperson Problem. In: <i>Proceedings of the Genetic and Evolutionary Computation Conference</i>. GECCO’23. Association for Computing Machinery; 2023:248–256. doi:<a href=\"https://doi.org/10.1145/3583131.3590384\">10.1145/3583131.3590384</a>","ieee":"J. Bossek, A. Neumann, and F. Neumann, “On the Impact of Basic Mutation Operators and Populations within Evolutionary Algorithms for the Dynamic Weighted Traveling Salesperson Problem,” in <i>Proceedings of the Genetic and Evolutionary Computation Conference</i>, 2023, pp. 248–256, doi: <a href=\"https://doi.org/10.1145/3583131.3590384\">10.1145/3583131.3590384</a>.","chicago":"Bossek, Jakob, Aneta Neumann, and Frank Neumann. “On the Impact of Basic Mutation Operators and Populations within Evolutionary Algorithms for the Dynamic Weighted Traveling Salesperson Problem.” In <i>Proceedings of the Genetic and Evolutionary Computation Conference</i>, 248–256. GECCO’23. New York, NY, USA: Association for Computing Machinery, 2023. <a href=\"https://doi.org/10.1145/3583131.3590384\">https://doi.org/10.1145/3583131.3590384</a>."},"date_updated":"2023-12-13T10:46:27Z","publisher":"Association for Computing Machinery","date_created":"2023-11-14T15:58:56Z","author":[{"first_name":"Jakob","full_name":"Bossek, Jakob","id":"102979","last_name":"Bossek","orcid":"0000-0002-4121-4668"},{"last_name":"Neumann","full_name":"Neumann, Aneta","first_name":"Aneta"},{"last_name":"Neumann","full_name":"Neumann, Frank","first_name":"Frank"}],"title":"On the Impact of Basic Mutation Operators and Populations within Evolutionary Algorithms for the Dynamic Weighted Traveling Salesperson Problem","doi":"10.1145/3583131.3590384","publication":"Proceedings of the Genetic and Evolutionary Computation Conference","type":"conference","abstract":[{"text":"Evolutionary algorithms have been shown to obtain good solutions for complex optimization problems in static and dynamic environments. It is important to understand the behaviour of evolutionary algorithms for complex optimization problems that also involve dynamic and/or stochastic components in a systematic way in order to further increase their applicability to real-world problems. We investigate the node weighted traveling salesperson problem (W-TSP), which provides an abstraction of a wide range of weighted TSP problems, in dynamic settings. In the dynamic setting of the problem, items that have to be collected as part of a TSP tour change over time. We first present a dynamic setup for the dynamic W-TSP parameterized by different types of changes that are applied to the set of items to be collected when traversing the tour. Our first experimental investigations study the impact of such changes on resulting optimized tours in order to provide structural insights of optimization solutions. Afterwards, we investigate simple mutation-based evolutionary algorithms and study the impact of the mutation operators and the use of populations with dealing with the dynamic changes to the node weights of the problem.","lang":"eng"}],"status":"public","_id":"48869","department":[{"_id":"819"}],"user_id":"102979","series_title":"GECCO’23","keyword":["dynamic optimization","evolutionary algorithms","re-optimization","weighted traveling salesperson problem"],"extern":"1","language":[{"iso":"eng"}]},{"year":"2023","intvolume":"        12","page":"1676-1687","citation":{"mla":"Tao, Youshan, and Michael Winkler. “Global Smooth Solutions in a Three-Dimensional Cross-Diffusive SIS Epidemic Model with Saturated Taxis at Large Densities.” <i>Evolution Equations and Control Theory</i>, vol. 12, no. 6, American Institute of Mathematical Sciences (AIMS), 2023, pp. 1676–87, doi:<a href=\"https://doi.org/10.3934/eect.2023031\">10.3934/eect.2023031</a>.","bibtex":"@article{Tao_Winkler_2023, title={Global smooth solutions in a three-dimensional cross-diffusive SIS epidemic model with saturated taxis at large densities}, volume={12}, DOI={<a href=\"https://doi.org/10.3934/eect.2023031\">10.3934/eect.2023031</a>}, number={6}, journal={Evolution Equations and Control Theory}, publisher={American Institute of Mathematical Sciences (AIMS)}, author={Tao, Youshan and Winkler, Michael}, year={2023}, pages={1676–1687} }","short":"Y. Tao, M. Winkler, Evolution Equations and Control Theory 12 (2023) 1676–1687.","apa":"Tao, Y., &#38; Winkler, M. (2023). Global smooth solutions in a three-dimensional cross-diffusive SIS epidemic model with saturated taxis at large densities. <i>Evolution Equations and Control Theory</i>, <i>12</i>(6), 1676–1687. <a href=\"https://doi.org/10.3934/eect.2023031\">https://doi.org/10.3934/eect.2023031</a>","ieee":"Y. Tao and M. Winkler, “Global smooth solutions in a three-dimensional cross-diffusive SIS epidemic model with saturated taxis at large densities,” <i>Evolution Equations and Control Theory</i>, vol. 12, no. 6, pp. 1676–1687, 2023, doi: <a href=\"https://doi.org/10.3934/eect.2023031\">10.3934/eect.2023031</a>.","chicago":"Tao, Youshan, and Michael Winkler. “Global Smooth Solutions in a Three-Dimensional Cross-Diffusive SIS Epidemic Model with Saturated Taxis at Large Densities.” <i>Evolution Equations and Control Theory</i> 12, no. 6 (2023): 1676–87. <a href=\"https://doi.org/10.3934/eect.2023031\">https://doi.org/10.3934/eect.2023031</a>.","ama":"Tao Y, Winkler M. Global smooth solutions in a three-dimensional cross-diffusive SIS epidemic model with saturated taxis at large densities. <i>Evolution Equations and Control Theory</i>. 2023;12(6):1676-1687. doi:<a href=\"https://doi.org/10.3934/eect.2023031\">10.3934/eect.2023031</a>"},"publication_identifier":{"issn":["2163-2480"]},"publication_status":"published","issue":"6","title":"Global smooth solutions in a three-dimensional cross-diffusive SIS epidemic model with saturated taxis at large densities","doi":"10.3934/eect.2023031","publisher":"American Institute of Mathematical Sciences (AIMS)","date_updated":"2024-04-07T12:36:17Z","volume":12,"date_created":"2024-04-07T12:30:25Z","author":[{"full_name":"Tao, Youshan","last_name":"Tao","first_name":"Youshan"},{"first_name":"Michael","last_name":"Winkler","full_name":"Winkler, Michael"}],"status":"public","publication":"Evolution Equations and Control Theory","type":"journal_article","keyword":["Applied Mathematics","Control and Optimization","Modeling and Simulation"],"language":[{"iso":"eng"}],"_id":"53317","user_id":"31496"},{"type":"book_chapter","publication":"Research Approaches on Workplace Learning","abstract":[{"lang":"eng","text":"This chapter presents a discussion of the concept of agency. Agency is understood as a multifaceted construct describing the idea that human beings make choices, act on these choices, and thereby exercise influence on their own lives as well as their environment. We argue that the concept is discussed from three different perspectives in the literature—transformational, dispositional, and relational—that are each related to learning and development in work contexts. These perspectives do not reflect incompatible positions but rather different aspects of the same phenomena. The chapter also offers an avenue of insight into empirical studies that employ agency as a central concept as well as discussions about concepts that closely overlap with ideas of human beings as agents of power and influence."}],"status":"public","_id":"30289","user_id":"50788","department":[{"_id":"452"}],"keyword":["Agency Workplace learning Professional development Proactivity Self-direction"],"language":[{"iso":"eng"}],"publication_status":"published","publication_identifier":{"isbn":["9783030895815","9783030895822"],"issn":["2210-5549","2210-5557"]},"related_material":{"link":[{"relation":"other","url":"https://link.springer.com/chapter/10.1007/978-3-030-89582-2_1#Abs1"}]},"year":"2022","place":"Cham","citation":{"apa":"Goller, M., &#38; Paloniemi, S. (2022). Agency: Taking Stock of Workplace Learning Research. In <i>Research Approaches on Workplace Learning</i>. Springer International Publishing. <a href=\"https://doi.org/10.1007/978-3-030-89582-2_1\">https://doi.org/10.1007/978-3-030-89582-2_1</a>","bibtex":"@inbook{Goller_Paloniemi_2022, place={Cham}, title={Agency: Taking Stock of Workplace Learning Research}, DOI={<a href=\"https://doi.org/10.1007/978-3-030-89582-2_1\">10.1007/978-3-030-89582-2_1</a>}, booktitle={Research Approaches on Workplace Learning}, publisher={Springer International Publishing}, author={Goller, Michael and Paloniemi, Susanna}, year={2022} }","short":"M. Goller, S. Paloniemi, in: Research Approaches on Workplace Learning, Springer International Publishing, Cham, 2022.","mla":"Goller, Michael, and Susanna Paloniemi. “Agency: Taking Stock of Workplace Learning Research.” <i>Research Approaches on Workplace Learning</i>, Springer International Publishing, 2022, doi:<a href=\"https://doi.org/10.1007/978-3-030-89582-2_1\">10.1007/978-3-030-89582-2_1</a>.","ama":"Goller M, Paloniemi S. Agency: Taking Stock of Workplace Learning Research. In: <i>Research Approaches on Workplace Learning</i>. Springer International Publishing; 2022. doi:<a href=\"https://doi.org/10.1007/978-3-030-89582-2_1\">10.1007/978-3-030-89582-2_1</a>","chicago":"Goller, Michael, and Susanna Paloniemi. “Agency: Taking Stock of Workplace Learning Research.” In <i>Research Approaches on Workplace Learning</i>. Cham: Springer International Publishing, 2022. <a href=\"https://doi.org/10.1007/978-3-030-89582-2_1\">https://doi.org/10.1007/978-3-030-89582-2_1</a>.","ieee":"M. Goller and S. Paloniemi, “Agency: Taking Stock of Workplace Learning Research,” in <i>Research Approaches on Workplace Learning</i>, Cham: Springer International Publishing, 2022."},"date_updated":"2022-03-13T19:14:43Z","publisher":"Springer International Publishing","author":[{"orcid":"0000-0002-2820-9178","last_name":"Goller","full_name":"Goller, Michael","id":"30984","first_name":"Michael"},{"full_name":"Paloniemi, Susanna","last_name":"Paloniemi","first_name":"Susanna"}],"date_created":"2022-03-13T19:09:20Z","title":"Agency: Taking Stock of Workplace Learning Research","doi":"10.1007/978-3-030-89582-2_1"},{"publisher":"Springer International Publishing","date_updated":"2022-03-13T19:14:38Z","author":[{"orcid":"https://orcid.org/0000-0002-3570-7626","last_name":"Harteis","id":"27503","full_name":"Harteis, Christian","first_name":"Christian"}],"date_created":"2022-03-13T19:11:33Z","title":"Research on Workplace Learning in Times of Digitalisation","doi":"10.1007/978-3-030-89582-2_19","publication_status":"published","publication_identifier":{"isbn":["9783030895815","9783030895822"],"issn":["2210-5549","2210-5557"]},"related_material":{"link":[{"relation":"other","url":"https://link.springer.com/chapter/10.1007/978-3-030-89582-2_19#citeas"}]},"year":"2022","place":"Cham","citation":{"chicago":"Harteis, Christian. “Research on Workplace Learning in Times of Digitalisation.” In <i>Research Approaches on Workplace Learning</i>. Cham: Springer International Publishing, 2022. <a href=\"https://doi.org/10.1007/978-3-030-89582-2_19\">https://doi.org/10.1007/978-3-030-89582-2_19</a>.","ieee":"C. Harteis, “Research on Workplace Learning in Times of Digitalisation,” in <i>Research Approaches on Workplace Learning</i>, Cham: Springer International Publishing, 2022.","ama":"Harteis C. Research on Workplace Learning in Times of Digitalisation. In: <i>Research Approaches on Workplace Learning</i>. Springer International Publishing; 2022. doi:<a href=\"https://doi.org/10.1007/978-3-030-89582-2_19\">10.1007/978-3-030-89582-2_19</a>","bibtex":"@inbook{Harteis_2022, place={Cham}, title={Research on Workplace Learning in Times of Digitalisation}, DOI={<a href=\"https://doi.org/10.1007/978-3-030-89582-2_19\">10.1007/978-3-030-89582-2_19</a>}, booktitle={Research Approaches on Workplace Learning}, publisher={Springer International Publishing}, author={Harteis, Christian}, year={2022} }","short":"C. Harteis, in: Research Approaches on Workplace Learning, Springer International Publishing, Cham, 2022.","mla":"Harteis, Christian. “Research on Workplace Learning in Times of Digitalisation.” <i>Research Approaches on Workplace Learning</i>, Springer International Publishing, 2022, doi:<a href=\"https://doi.org/10.1007/978-3-030-89582-2_19\">10.1007/978-3-030-89582-2_19</a>.","apa":"Harteis, C. (2022). Research on Workplace Learning in Times of Digitalisation. In <i>Research Approaches on Workplace Learning</i>. Springer International Publishing. <a href=\"https://doi.org/10.1007/978-3-030-89582-2_19\">https://doi.org/10.1007/978-3-030-89582-2_19</a>"},"_id":"30290","user_id":"50788","department":[{"_id":"452"}],"keyword":["Digitalisation Self organisation Distribution of labour Automation"],"language":[{"iso":"eng"}],"type":"book_chapter","publication":"Research Approaches on Workplace Learning","abstract":[{"lang":"eng","text":"The article explores the particular quality of changes introduced through the latest wave of digital transformation of workplaces. It has effects on workflow processes, on distribution of work and tasks, and the mode of distributing working tasks, e.g. through cyber-physical systems. Hence, the changes in work are manifold and require changes in vocational education and training as well as in workplace learning. These changes reveal new challenges for research on workplace learning. Finally, conclusions for future workplace learning research will be developed."}],"status":"public"},{"citation":{"apa":"Caillau, J.-B., Djema, W., Gouzé, J.-L., Maslovskaya, S., &#38; Pomet, J.-B. (2022). Turnpike Property in Optimal Microbial Metabolite Production. <i>Journal of Optimization Theory and Applications</i>. <a href=\"https://doi.org/10.1007/s10957-022-02023-0\">https://doi.org/10.1007/s10957-022-02023-0</a>","bibtex":"@article{Caillau_Djema_Gouzé_Maslovskaya_Pomet_2022, title={Turnpike Property in Optimal Microbial Metabolite Production}, DOI={<a href=\"https://doi.org/10.1007/s10957-022-02023-0\">10.1007/s10957-022-02023-0</a>}, journal={Journal of Optimization Theory and Applications}, publisher={Springer Science and Business Media LLC}, author={Caillau, Jean-Baptiste and Djema, Walid and Gouzé, Jean-Luc and Maslovskaya, Sofya and Pomet, Jean-Baptiste}, year={2022} }","short":"J.-B. Caillau, W. Djema, J.-L. Gouzé, S. Maslovskaya, J.-B. Pomet, Journal of Optimization Theory and Applications (2022).","mla":"Caillau, Jean-Baptiste, et al. “Turnpike Property in Optimal Microbial Metabolite Production.” <i>Journal of Optimization Theory and Applications</i>, Springer Science and Business Media LLC, 2022, doi:<a href=\"https://doi.org/10.1007/s10957-022-02023-0\">10.1007/s10957-022-02023-0</a>.","chicago":"Caillau, Jean-Baptiste, Walid Djema, Jean-Luc Gouzé, Sofya Maslovskaya, and Jean-Baptiste Pomet. “Turnpike Property in Optimal Microbial Metabolite Production.” <i>Journal of Optimization Theory and Applications</i>, 2022. <a href=\"https://doi.org/10.1007/s10957-022-02023-0\">https://doi.org/10.1007/s10957-022-02023-0</a>.","ieee":"J.-B. Caillau, W. Djema, J.-L. Gouzé, S. Maslovskaya, and J.-B. Pomet, “Turnpike Property in Optimal Microbial Metabolite Production,” <i>Journal of Optimization Theory and Applications</i>, 2022, doi: <a href=\"https://doi.org/10.1007/s10957-022-02023-0\">10.1007/s10957-022-02023-0</a>.","ama":"Caillau J-B, Djema W, Gouzé J-L, Maslovskaya S, Pomet J-B. Turnpike Property in Optimal Microbial Metabolite Production. <i>Journal of Optimization Theory and Applications</i>. Published online 2022. doi:<a href=\"https://doi.org/10.1007/s10957-022-02023-0\">10.1007/s10957-022-02023-0</a>"},"year":"2022","publication_identifier":{"issn":["0022-3239","1573-2878"]},"publication_status":"published","doi":"10.1007/s10957-022-02023-0","title":"Turnpike Property in Optimal Microbial Metabolite Production","author":[{"full_name":"Caillau, Jean-Baptiste","last_name":"Caillau","first_name":"Jean-Baptiste"},{"first_name":"Walid","full_name":"Djema, Walid","last_name":"Djema"},{"first_name":"Jean-Luc","full_name":"Gouzé, Jean-Luc","last_name":"Gouzé"},{"last_name":"Maslovskaya","id":"87909","full_name":"Maslovskaya, Sofya","first_name":"Sofya"},{"first_name":"Jean-Baptiste","last_name":"Pomet","full_name":"Pomet, Jean-Baptiste"}],"date_created":"2022-04-08T17:23:13Z","date_updated":"2022-04-08T18:23:02Z","publisher":"Springer Science and Business Media LLC","status":"public","abstract":[{"lang":"eng","text":"<jats:title>Abstract</jats:title><jats:p>We consider the problem of maximization of metabolite production in bacterial cells formulated as a dynamical optimal control problem (DOCP). According to Pontryagin’s maximum principle, optimal solutions are concatenations of singular and bang arcs and exhibit the chattering or <jats:italic>Fuller</jats:italic> phenomenon, which is problematic for applications. To avoid chattering, we introduce a reduced model which is still biologically relevant and retains the important structural features of the original problem. Using a combination of analytical and numerical methods, we show that the singular arc is dominant in the studied DOCPs and exhibits the <jats:italic>turnpike</jats:italic> property. This property is further used in order to design simple and realistic suboptimal control strategies.</jats:p>"}],"publication":"Journal of Optimization Theory and Applications","type":"journal_article","language":[{"iso":"eng"}],"keyword":["Applied Mathematics","Management Science and Operations Research","Control and Optimization"],"department":[{"_id":"636"}],"user_id":"87909","_id":"30861"},{"publisher":"IEEE","date_created":"2022-02-15T07:32:10Z","title":"Model-driven Continuous Experimentation on Component-based Software Architectures ","year":"2022","ddc":["000"],"keyword":["continuous experimentation","model-driven","component-based software architectures","self-adaptation"],"language":[{"iso":"eng"}],"publication":"Proceedings of the 18th International Conference on Software Architecture Companion ","abstract":[{"lang":"eng","text":"To build successful software products, developers continuously have to discover what features the users really need. This discovery can be achieved with continuous experimentation, testing different software variants with distinct user groups, and deploying the superior variant for all users. However, existing approaches do not focus on explicit modeling of variants and experiments, which offers advantages such as traceability of decisions and combinability of experiments. Therefore, our vision is the provision of model-driven continuous experimentation, which provides the developer with a framework for structuring the experimentation process. For that, we introduce the overall concept, apply it to the experimentation on component-based software architectures and point out future research questions. In particular, we show the applicability by combining feature models for modeling the software variants, users, and experiments (i.e., model-driven) with MAPE-K for the adaptation (i.e., continuous experimentation) and implementing the concept based on the component-based Angular framework."}],"file":[{"relation":"main_file","content_type":"application/pdf","access_level":"open_access","file_name":"ICSA_CR.pdf","file_id":"32322","file_size":183185,"date_created":"2022-07-04T12:33:18Z","creator":"sego","date_updated":"2022-07-04T12:34:52Z"}],"oa":"1","date_updated":"2022-07-04T12:34:53Z","author":[{"first_name":"Sebastian","id":"47208","full_name":"Gottschalk, Sebastian","last_name":"Gottschalk"},{"first_name":"Enes","orcid":"0000-0002-5967-833X","last_name":"Yigitbas","id":"8447","full_name":"Yigitbas, Enes"},{"first_name":"Gregor","last_name":"Engels","full_name":"Engels, Gregor","id":"107"}],"doi":"10.1109/ICSA-C54293.2022.00011","conference":{"start_date":"2022-03-12","name":"18th International Conference on Software Architecture ","location":"Hawaii","end_date":"2022-03-15"},"has_accepted_license":"1","citation":{"mla":"Gottschalk, Sebastian, et al. “Model-Driven Continuous Experimentation on Component-Based Software Architectures .” <i>Proceedings of the 18th International Conference on Software Architecture Companion </i>, IEEE, 2022, doi:<a href=\"https://doi.org/10.1109/ICSA-C54293.2022.00011\">10.1109/ICSA-C54293.2022.00011</a>.","bibtex":"@inproceedings{Gottschalk_Yigitbas_Engels_2022, title={Model-driven Continuous Experimentation on Component-based Software Architectures }, DOI={<a href=\"https://doi.org/10.1109/ICSA-C54293.2022.00011\">10.1109/ICSA-C54293.2022.00011</a>}, booktitle={Proceedings of the 18th International Conference on Software Architecture Companion }, publisher={IEEE}, author={Gottschalk, Sebastian and Yigitbas, Enes and Engels, Gregor}, year={2022} }","short":"S. Gottschalk, E. Yigitbas, G. Engels, in: Proceedings of the 18th International Conference on Software Architecture Companion , IEEE, 2022.","apa":"Gottschalk, S., Yigitbas, E., &#38; Engels, G. (2022). Model-driven Continuous Experimentation on Component-based Software Architectures . <i>Proceedings of the 18th International Conference on Software Architecture Companion </i>. 18th International Conference on Software Architecture , Hawaii. <a href=\"https://doi.org/10.1109/ICSA-C54293.2022.00011\">https://doi.org/10.1109/ICSA-C54293.2022.00011</a>","ama":"Gottschalk S, Yigitbas E, Engels G. Model-driven Continuous Experimentation on Component-based Software Architectures . In: <i>Proceedings of the 18th International Conference on Software Architecture Companion </i>. IEEE; 2022. doi:<a href=\"https://doi.org/10.1109/ICSA-C54293.2022.00011\">10.1109/ICSA-C54293.2022.00011</a>","chicago":"Gottschalk, Sebastian, Enes Yigitbas, and Gregor Engels. “Model-Driven Continuous Experimentation on Component-Based Software Architectures .” In <i>Proceedings of the 18th International Conference on Software Architecture Companion </i>. IEEE, 2022. <a href=\"https://doi.org/10.1109/ICSA-C54293.2022.00011\">https://doi.org/10.1109/ICSA-C54293.2022.00011</a>.","ieee":"S. Gottschalk, E. Yigitbas, and G. Engels, “Model-driven Continuous Experimentation on Component-based Software Architectures ,” presented at the 18th International Conference on Software Architecture , Hawaii, 2022, doi: <a href=\"https://doi.org/10.1109/ICSA-C54293.2022.00011\">10.1109/ICSA-C54293.2022.00011</a>."},"project":[{"name":"SFB 901: SFB 901","_id":"1"},{"name":"SFB 901 - C: SFB 901 - Project Area C","_id":"4"},{"_id":"17","name":"SFB 901 - C5: SFB 901 - Subproject C5"}],"_id":"29842","user_id":"47208","department":[{"_id":"66"},{"_id":"534"}],"file_date_updated":"2022-07-04T12:34:52Z","type":"conference","status":"public"},{"keyword":["Bildungswissenschaftliches Wissen","Kompetenzmessung","Kompetenzselbsteinschätzung","Praxissemester","Professionalisierung / competence measurement","competence self-assessment","educational knowledge","internship","professionalization"],"language":[{"iso":"ger"}],"alternative_title":["Ergebnisse der Messung pädagogischer Kompetenzen Studierender in Deutschland"],"_id":"35136","user_id":"86519","abstract":[{"lang":"ger","text":"Im Zentrum dieses Beitrags stehen Ergebnisse der Messung pädagogischer Kompetenzen Studierender der Theologie, die das Praxissemester in Deutschland absolviert haben. Das bildungswissenschaftliche Wissen, Kompetenzselbsteinschätzungen und ihre Entwicklung sowie die Einschätzung der im Praxissemester erreichten Ziele Studierender werden dabei unter Berücksichtigung der Ausrichtung des Lehramtsstudiums auf eine Schulform betrachtet. Um die Ergebnisse der Messung bildungswissenschaftlichen Wissens und die der Messung von Kompetenzselbsteinschätzungen zu kontextualisieren (N = 304), wird zuerst die Relevanz des (bildungswissenschaftlichen) Wissens als Ausgangspunkt des Könnens herausgearbeitet. Daran anschließend werden Befunde zur schulformspezifischen Professionalisierung resümiert. Anschließend werden Hypothesen hergeleitet, die Anlage der Studie sowie die Testinstrumente vorge- stellt, die Ergebnisse präsentiert und diskutiert. Die Ergebnisse zeigen wider Erwarten, dass sich weder das bildungswissenschaftliche Wissen, die Kompetenzselbsteinschätzungen und ihre Entwicklung noch die Einschätzung der im Praxissemester erreichten Ziele angehender Lehrkräfte in Abhängigkeit der Schulformen unterscheiden. Die Diskussion bezieht sich u.a. auf die Struktur der Lehramtsstudiengänge, die Denkfiguren zur Entwicklung von Können und die Konzeption der Messinstrumente.\r\n"},{"lang":"eng","text":"The focus of this article are the results of the measurement of pedagogical competencies of students of theology who have completed an internship in Germany. The educational knowledge, competence self-assessments and their development as well as the assessment of the goals achieved by students in the internship are considered, taking into account the orientation of the teacher education course towards a school type. In order to contextualize the results of the measurement of educational knowledge and those of the survey of competence self-assessments (N = 304), ideas are shown how the relationship between knowledge and ability is constituted and findings on the type of school-specific professionalization are summarized. Subsequently, hypotheses are derived, the design of the study, the method and the test instruments are described, the results are presented and discussed. Contrary to expectations, the results show that neither the educational science knowledge, the competence self-assessments and their development nor the assessment of the goals achieved in the internship by pros- pective teachers differ depending on the type of school. The discussion relates to on the structure of the teacher training courses, the mental figures for the development of skills and the conception of the measuring instruments.\r\n"}],"status":"public","publication":"Österreichische Religionspädagogische Forum","type":"journal_article","title":" Inwiefern ist die Professionalisierung in Praxisphasen schulformspezifisch?","doi":"10.30:2022.1.14","date_updated":"2023-01-06T12:08:14Z","publisher":"Universitätsbibliothek Graz","volume":30,"author":[{"last_name":"Caruso","full_name":"Caruso, Carina","id":"23123","first_name":"Carina"},{"first_name":"Andreas","last_name":"Seifert","full_name":"Seifert, Andreas"}],"date_created":"2023-01-03T12:41:20Z","year":"2022","intvolume":"        30","page":"239-260","citation":{"chicago":"Caruso, Carina, and Andreas Seifert. “ Inwiefern ist die Professionalisierung in Praxisphasen schulformspezifisch?” <i>Österreichische Religionspädagogische Forum</i> 30, no. 1 (2022): 239–60. <a href=\"https://doi.org/10.30:2022.1.14\">https://doi.org/10.30:2022.1.14</a>.","ieee":"C. Caruso and A. Seifert, “ Inwiefern ist die Professionalisierung in Praxisphasen schulformspezifisch?,” <i>Österreichische Religionspädagogische Forum</i>, vol. 30, no. 1, pp. 239–260, 2022, doi: <a href=\"https://doi.org/10.30:2022.1.14\">10.30:2022.1.14</a>.","ama":"Caruso C, Seifert A.  Inwiefern ist die Professionalisierung in Praxisphasen schulformspezifisch? <i>Österreichische Religionspädagogische Forum</i>. 2022;30(1):239-260. doi:<a href=\"https://doi.org/10.30:2022.1.14\">10.30:2022.1.14</a>","apa":"Caruso, C., &#38; Seifert, A. (2022).  Inwiefern ist die Professionalisierung in Praxisphasen schulformspezifisch? <i>Österreichische Religionspädagogische Forum</i>, <i>30</i>(1), 239–260. <a href=\"https://doi.org/10.30:2022.1.14\">https://doi.org/10.30:2022.1.14</a>","bibtex":"@article{Caruso_Seifert_2022, title={ Inwiefern ist die Professionalisierung in Praxisphasen schulformspezifisch?}, volume={30}, DOI={<a href=\"https://doi.org/10.30:2022.1.14\">10.30:2022.1.14</a>}, number={1}, journal={Österreichische Religionspädagogische Forum}, publisher={Universitätsbibliothek Graz}, author={Caruso, Carina and Seifert, Andreas}, year={2022}, pages={239–260} }","short":"C. Caruso, A. Seifert, Österreichische Religionspädagogische Forum 30 (2022) 239–260.","mla":"Caruso, Carina, and Andreas Seifert. “ Inwiefern ist die Professionalisierung in Praxisphasen schulformspezifisch?” <i>Österreichische Religionspädagogische Forum</i>, vol. 30, no. 1, Universitätsbibliothek Graz, 2022, pp. 239–60, doi:<a href=\"https://doi.org/10.30:2022.1.14\">10.30:2022.1.14</a>."},"publication_identifier":{"issn":["1018-1539"]},"publication_status":"published","issue":"1"},{"publisher":"University of Bamberg Press","date_updated":"2023-01-06T12:21:07Z","author":[{"id":"23123","full_name":"Caruso, Carina","last_name":"Caruso","first_name":"Carina"},{"first_name":"Andreas","full_name":"Seifert, Andreas","last_name":"Seifert"}],"date_created":"2023-01-03T12:45:09Z","volume":45,"title":"Pädagogische Kompetenz als Ausgangspunkt beruflichen Könnens!? Ergebnisse der Kompetenzmessung angehender Lehrkräfte unter Berücksichtigung individueller Voraussetzungen","doi":"10.20377/rpb-101","publication_status":"published","publication_identifier":{"issn":["2750 - 3941"]},"issue":"1","year":"2022","citation":{"ieee":"C. Caruso and A. Seifert, “Pädagogische Kompetenz als Ausgangspunkt beruflichen Könnens!? Ergebnisse der Kompetenzmessung angehender Lehrkräfte unter Berücksichtigung individueller Voraussetzungen,” <i>Religionspädagogische Beiträge. Journal for Religion in Education </i>, vol. 45, no. 1, pp. 3–15, 2022, doi: <a href=\"https://doi.org/10.20377/rpb-101\">10.20377/rpb-101</a>.","chicago":"Caruso, Carina, and Andreas Seifert. “Pädagogische Kompetenz als Ausgangspunkt beruflichen Könnens!? Ergebnisse der Kompetenzmessung angehender Lehrkräfte unter Berücksichtigung individueller Voraussetzungen.” <i>Religionspädagogische Beiträge. Journal for Religion in Education </i> 45, no. 1 (2022): 3–15. <a href=\"https://doi.org/10.20377/rpb-101\">https://doi.org/10.20377/rpb-101</a>.","ama":"Caruso C, Seifert A. Pädagogische Kompetenz als Ausgangspunkt beruflichen Könnens!? Ergebnisse der Kompetenzmessung angehender Lehrkräfte unter Berücksichtigung individueller Voraussetzungen. <i>Religionspädagogische Beiträge Journal for Religion in Education </i>. 2022;45(1):3-15. doi:<a href=\"https://doi.org/10.20377/rpb-101\">10.20377/rpb-101</a>","mla":"Caruso, Carina, and Andreas Seifert. “Pädagogische Kompetenz als Ausgangspunkt beruflichen Könnens!? Ergebnisse der Kompetenzmessung angehender Lehrkräfte unter Berücksichtigung individueller Voraussetzungen.” <i>Religionspädagogische Beiträge. Journal for Religion in Education </i>, vol. 45, no. 1, University of Bamberg Press, 2022, pp. 3–15, doi:<a href=\"https://doi.org/10.20377/rpb-101\">10.20377/rpb-101</a>.","short":"C. Caruso, A. Seifert, Religionspädagogische Beiträge. Journal for Religion in Education  45 (2022) 3–15.","bibtex":"@article{Caruso_Seifert_2022, title={Pädagogische Kompetenz als Ausgangspunkt beruflichen Könnens!? Ergebnisse der Kompetenzmessung angehender Lehrkräfte unter Berücksichtigung individueller Voraussetzungen}, volume={45}, DOI={<a href=\"https://doi.org/10.20377/rpb-101\">10.20377/rpb-101</a>}, number={1}, journal={Religionspädagogische Beiträge. Journal for Religion in Education }, publisher={University of Bamberg Press}, author={Caruso, Carina and Seifert, Andreas}, year={2022}, pages={3–15} }","apa":"Caruso, C., &#38; Seifert, A. (2022). Pädagogische Kompetenz als Ausgangspunkt beruflichen Könnens!? Ergebnisse der Kompetenzmessung angehender Lehrkräfte unter Berücksichtigung individueller Voraussetzungen. <i>Religionspädagogische Beiträge. Journal for Religion in Education </i>, <i>45</i>(1), 3–15. <a href=\"https://doi.org/10.20377/rpb-101\">https://doi.org/10.20377/rpb-101</a>"},"page":"3-15","intvolume":"        45","_id":"35137","user_id":"86519","keyword":["Bildungswissenschaftliches Wissen","Kompetenzmessung","Kompetenzselbsteinschätzung","Praxissemester","Professionalisierung / competence measurement","competence self-assessment","educational knowledge","internship","professionalization"],"language":[{"iso":"ger"}],"type":"journal_article","publication":"Religionspädagogische Beiträge. Journal for Religion in Education ","abstract":[{"text":"Im Zentrum dieses Beitrags stehen Ergebnisse der Messung pädagogischer Kompetenzen Studierender. Dabei werden sowohl das bildungswissenschaftliche Wissen als auch die Entwicklung der Kompe­tenzselbsteinschätzungen in den Bereichen Unterrichten, Erziehen, Beurteilen und Innovieren unter Berücksichtigung individueller Voraussetzungen (Alter, Geschlecht, Abiturnote, Bachelornote, Konfession) betrachtet. Um die Ergeb­nisse hinsichtlich ihrer Bedeutung für die Professionalisierung angehender Lehrkräfte diskutieren zu können, wird, den empirischen Erkenntnissen voranstehend, die Bedeutung von Wissen für berufliches Können herausgearbeitet. Daran anschließend werden Hypothesen hergeleitet, die Anlage der Studie sowie die Testinstrumente vorgestellt, die Ergebnisse präsentiert und diskutiert. Die Ergebnisse zeigen, dass die Abitur- und Bachelornote die Varianz hinsichtlich des pädagogischen Wissens aufklären, sich eine signifikante Entwicklung der Kompetenzselbsteinschätzungen angehender Lehrkräfte feststellen lässt, aber sich angehende Religionslehrkräfte kaum von anderen Studierenden unterscheiden. Die Diskussion nimmt u. a. Rückbezug auf die Denkfiguren zur Entwicklung berufli­chen Könnens und benennt Limitationen, die mit der Studie und Kompetenzmessungen verbunden sind. Daran schließt die Formulierung eines Ausblicks an. Der Beitrag zielt insbesondere darauf, repräsentative Ergebnisse der Kompetenzmessung zu präsentieren und dabei potenzielle Einflussfaktoren auf die studentische Kompetenzent­wicklung zu beleuchten. Ein dadurch angereichertes Konglomerat belastbarer Erkenntnisse zielt darauf, langfristig zur Ableitung lehrerbildungsdidaktischer Überlegungen herangezogen werden zu können, die die studentische Professionalisierung unterstützen.","lang":"ger"},{"text":"This paper focuses on the results of the measurement of pedagogical competences of students. In doing so,  both  the  knowledge  of  the  educational  sciences  and  the  development  of  competence  self-assessments  in  the  fields of teaching, education, assessment andinnovating are taken into account. The study makes use of the following individual requirements: age, sex, Abitur grade, Bachelor grade, Confession. In order to be able to discuss the re-sults regarding their importance for the professionalization of prospective teachers, the importance of knowledge for  professional  skills  is  highlighted,  preceded  by  empirical  findings.  Subsequently,  hypotheses  are  derived,  the  plan  of  the  study  as  well  as  the  test  instruments  are  presented,  the  results  presented  and  discussed.  The  results  show that the Abitur and Bachelor grades clarify the variance in pedagogical knowledge, that there is a significant development in the competence self-assessments of prospective teachers, and that prospective religious teachers are not different from other students. The discussion takes into account, among other things, the ideas for the devel-opment of professional skills and identifies limitations associated with the study. This is followed by the formula-tion of an outlook. The main aim of the paper is to present representative results of the competence measurement and  to  examine  potential  influencing  factors  on  student  competence  development.  A  conglomerate  of  resilient  knowledge enriched by this aims to be used in the long term to derive teacher training didactic considerations that support student professionalization.","lang":"eng"}],"status":"public"},{"title":"BBE: Basin-Based Evaluation of Multimodal Multi-objective Optimization Problems","publisher":"Springer International Publishing","date_created":"2023-11-14T15:58:58Z","year":"2022","keyword":["Anytime behavior","Benchmarking","Continuous optimization","Multi-objective optimization","Multimodality","Performance metric"],"language":[{"iso":"eng"}],"abstract":[{"lang":"eng","text":"In multimodal multi-objective optimization (MMMOO), the focus is not solely on convergence in objective space, but rather also on explicitly ensuring diversity in decision space. We illustrate why commonly used diversity measures are not entirely appropriate for this task and propose a sophisticated basin-based evaluation (BBE) method. Also, BBE variants are developed, capturing the anytime behavior of algorithms. The set of BBE measures is tested by means of an algorithm configuration study. We show that these new measures also transfer properties of the well-established hypervolume (HV) indicator to the domain of MMMOO, thus also accounting for objective space convergence. Moreover, we advance MMMOO research by providing insights into the multimodal performance of the considered algorithms. Specifically, algorithms exploiting local structures are shown to outperform classical evolutionary multi-objective optimizers regarding the BBE variants and respective trade-off with HV."}],"publication":"Parallel Problem Solving from Nature (PPSN XVII)","doi":"10.1007/978-3-031-14714-2_14","date_updated":"2023-12-13T10:47:50Z","author":[{"full_name":"Heins, Jonathan","last_name":"Heins","first_name":"Jonathan"},{"last_name":"Rook","full_name":"Rook, Jeroen","first_name":"Jeroen"},{"last_name":"Schäpermeier","full_name":"Schäpermeier, Lennart","first_name":"Lennart"},{"first_name":"Pascal","full_name":"Kerschke, Pascal","last_name":"Kerschke"},{"orcid":"0000-0002-4121-4668","last_name":"Bossek","full_name":"Bossek, Jakob","id":"102979","first_name":"Jakob"},{"last_name":"Trautmann","full_name":"Trautmann, Heike","first_name":"Heike"}],"place":"Cham","page":"192–206","citation":{"apa":"Heins, J., Rook, J., Schäpermeier, L., Kerschke, P., Bossek, J., &#38; Trautmann, H. (2022). BBE: Basin-Based Evaluation of Multimodal Multi-objective Optimization Problems. In G. Rudolph, A. V. Kononova, H. Aguirre, P. Kerschke, G. Ochoa, &#38; T. Tusar (Eds.), <i>Parallel Problem Solving from Nature (PPSN XVII)</i> (pp. 192–206). Springer International Publishing. <a href=\"https://doi.org/10.1007/978-3-031-14714-2_14\">https://doi.org/10.1007/978-3-031-14714-2_14</a>","mla":"Heins, Jonathan, et al. “BBE: Basin-Based Evaluation of Multimodal Multi-Objective Optimization Problems.” <i>Parallel Problem Solving from Nature (PPSN XVII)</i>, edited by Günter Rudolph et al., Springer International Publishing, 2022, pp. 192–206, doi:<a href=\"https://doi.org/10.1007/978-3-031-14714-2_14\">10.1007/978-3-031-14714-2_14</a>.","short":"J. Heins, J. Rook, L. Schäpermeier, P. Kerschke, J. Bossek, H. Trautmann, in: G. Rudolph, A.V. Kononova, H. Aguirre, P. Kerschke, G. Ochoa, T. Tusar (Eds.), Parallel Problem Solving from Nature (PPSN XVII), Springer International Publishing, Cham, 2022, pp. 192–206.","bibtex":"@inproceedings{Heins_Rook_Schäpermeier_Kerschke_Bossek_Trautmann_2022, place={Cham}, series={Lecture Notes in Computer Science}, title={BBE: Basin-Based Evaluation of Multimodal Multi-objective Optimization Problems}, DOI={<a href=\"https://doi.org/10.1007/978-3-031-14714-2_14\">10.1007/978-3-031-14714-2_14</a>}, booktitle={Parallel Problem Solving from Nature (PPSN XVII)}, publisher={Springer International Publishing}, author={Heins, Jonathan and Rook, Jeroen and Schäpermeier, Lennart and Kerschke, Pascal and Bossek, Jakob and Trautmann, Heike}, editor={Rudolph, Günter and Kononova, Anna V. and Aguirre, Hernán and Kerschke, Pascal and Ochoa, Gabriela and Tusar, Tea}, year={2022}, pages={192–206}, collection={Lecture Notes in Computer Science} }","chicago":"Heins, Jonathan, Jeroen Rook, Lennart Schäpermeier, Pascal Kerschke, Jakob Bossek, and Heike Trautmann. “BBE: Basin-Based Evaluation of Multimodal Multi-Objective Optimization Problems.” In <i>Parallel Problem Solving from Nature (PPSN XVII)</i>, edited by Günter Rudolph, Anna V. Kononova, Hernán Aguirre, Pascal Kerschke, Gabriela Ochoa, and Tea Tusar, 192–206. Lecture Notes in Computer Science. Cham: Springer International Publishing, 2022. <a href=\"https://doi.org/10.1007/978-3-031-14714-2_14\">https://doi.org/10.1007/978-3-031-14714-2_14</a>.","ieee":"J. Heins, J. Rook, L. Schäpermeier, P. Kerschke, J. Bossek, and H. Trautmann, “BBE: Basin-Based Evaluation of Multimodal Multi-objective Optimization Problems,” in <i>Parallel Problem Solving from Nature (PPSN XVII)</i>, 2022, pp. 192–206, doi: <a href=\"https://doi.org/10.1007/978-3-031-14714-2_14\">10.1007/978-3-031-14714-2_14</a>.","ama":"Heins J, Rook J, Schäpermeier L, Kerschke P, Bossek J, Trautmann H. BBE: Basin-Based Evaluation of Multimodal Multi-objective Optimization Problems. In: Rudolph G, Kononova AV, Aguirre H, Kerschke P, Ochoa G, Tusar T, eds. <i>Parallel Problem Solving from Nature (PPSN XVII)</i>. Lecture Notes in Computer Science. Springer International Publishing; 2022:192–206. doi:<a href=\"https://doi.org/10.1007/978-3-031-14714-2_14\">10.1007/978-3-031-14714-2_14</a>"},"publication_identifier":{"isbn":["978-3-031-14714-2"]},"extern":"1","_id":"48882","department":[{"_id":"819"}],"series_title":"Lecture Notes in Computer Science","user_id":"102979","editor":[{"first_name":"Günter","last_name":"Rudolph","full_name":"Rudolph, Günter"},{"last_name":"Kononova","full_name":"Kononova, Anna V.","first_name":"Anna V."},{"full_name":"Aguirre, Hernán","last_name":"Aguirre","first_name":"Hernán"},{"last_name":"Kerschke","full_name":"Kerschke, Pascal","first_name":"Pascal"},{"first_name":"Gabriela","full_name":"Ochoa, Gabriela","last_name":"Ochoa"},{"first_name":"Tea","last_name":"Tusar","full_name":"Tusar, Tea"}],"status":"public","type":"conference"},{"publication":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","type":"conference","abstract":[{"lang":"eng","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."}],"status":"public","_id":"48896","department":[{"_id":"819"}],"user_id":"102979","series_title":"GECCO’22","keyword":["configuration","multi-modality","multi-objective optimization"],"extern":"1","language":[{"iso":"eng"}],"publication_identifier":{"isbn":["978-1-4503-9268-6"]},"year":"2022","place":"New York, NY, USA","page":"356–359","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>.","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.","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} }","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>"},"publisher":"Association for Computing Machinery","date_updated":"2023-12-13T10:50:24Z","author":[{"last_name":"Rook","full_name":"Rook, Jeroen","first_name":"Jeroen"},{"first_name":"Heike","full_name":"Trautmann, Heike","last_name":"Trautmann"},{"first_name":"Jakob","full_name":"Bossek, Jakob","id":"102979","orcid":"0000-0002-4121-4668","last_name":"Bossek"},{"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"},{"language":[{"iso":"eng"}],"keyword":["Applied Mathematics","Control and Optimization","General Medicine"],"user_id":"95394","_id":"35206","status":"public","type":"journal_article","publication":"Mathematical Control and Related Fields","doi":"10.3934/mcrf.2022052","title":"Accessibility properties of abnormal geodesics in optimal control illustrated by two case studies","date_created":"2023-01-04T10:26:56Z","author":[{"last_name":"Bonnard","full_name":"Bonnard, Bernard","first_name":"Bernard"},{"last_name":"Rouot","full_name":"Rouot, Jérémy","first_name":"Jérémy"},{"first_name":"Boris Edgar","full_name":"Wembe Moafo, Boris Edgar","id":"95394","last_name":"Wembe Moafo"}],"volume":"0","publisher":"American Institute of Mathematical Sciences (AIMS)","date_updated":"2023-01-16T12:07:51Z","citation":{"bibtex":"@article{Bonnard_Rouot_Wembe Moafo_2022, title={Accessibility properties of abnormal geodesics in optimal control illustrated by two case studies}, volume={0}, DOI={<a href=\"https://doi.org/10.3934/mcrf.2022052\">10.3934/mcrf.2022052</a>}, number={0}, journal={Mathematical Control and Related Fields}, publisher={American Institute of Mathematical Sciences (AIMS)}, author={Bonnard, Bernard and Rouot, Jérémy and Wembe Moafo, Boris Edgar}, year={2022}, pages={0–0} }","short":"B. Bonnard, J. Rouot, B.E. Wembe Moafo, Mathematical Control and Related Fields 0 (2022) 0–0.","mla":"Bonnard, Bernard, et al. “Accessibility Properties of Abnormal Geodesics in Optimal Control Illustrated by Two Case Studies.” <i>Mathematical Control and Related Fields</i>, vol. 0, no. 0, American Institute of Mathematical Sciences (AIMS), 2022, pp. 0–0, doi:<a href=\"https://doi.org/10.3934/mcrf.2022052\">10.3934/mcrf.2022052</a>.","ama":"Bonnard B, Rouot J, Wembe Moafo BE. Accessibility properties of abnormal geodesics in optimal control illustrated by two case studies. <i>Mathematical Control and Related Fields</i>. 2022;0(0):0-0. doi:<a href=\"https://doi.org/10.3934/mcrf.2022052\">10.3934/mcrf.2022052</a>","apa":"Bonnard, B., Rouot, J., &#38; Wembe Moafo, B. E. (2022). Accessibility properties of abnormal geodesics in optimal control illustrated by two case studies. <i>Mathematical Control and Related Fields</i>, <i>0</i>(0), 0–0. <a href=\"https://doi.org/10.3934/mcrf.2022052\">https://doi.org/10.3934/mcrf.2022052</a>","ieee":"B. Bonnard, J. Rouot, and B. E. Wembe Moafo, “Accessibility properties of abnormal geodesics in optimal control illustrated by two case studies,” <i>Mathematical Control and Related Fields</i>, vol. 0, no. 0, pp. 0–0, 2022, doi: <a href=\"https://doi.org/10.3934/mcrf.2022052\">10.3934/mcrf.2022052</a>.","chicago":"Bonnard, Bernard, Jérémy Rouot, and Boris Edgar Wembe Moafo. “Accessibility Properties of Abnormal Geodesics in Optimal Control Illustrated by Two Case Studies.” <i>Mathematical Control and Related Fields</i> 0, no. 0 (2022): 0–0. <a href=\"https://doi.org/10.3934/mcrf.2022052\">https://doi.org/10.3934/mcrf.2022052</a>."},"page":"0-0","year":"2022","issue":"0","publication_status":"published","publication_identifier":{"issn":["2156-8472","2156-8499"]}},{"abstract":[{"text":"Theoretical approaches to the transformation towards an inclusive educational system in Germany mostly agree on the involvement of developmental tasks in subject related research (Hinz, 2011). The common understanding of inclusion as a process geared towards equal participation of all children (Booth, 2012) requires a reflexive questioning of established values, attitudes and practices in order to develop inclusive subject related research, teacher training and teaching and learning (Pech & Schomaker, 2013). Among other things, this results in consequences for the design of pre- service teacher training. To a large extent, teacher education is driven by the promotion of central competencies, interests and self-efficacy (Baumert & Kunter, 2011). It aims towards the development and realisation of inclusive interdisciplinary science and social studies (‘Sachunterricht’) in primary education (Moser, 2018). In conjunction with largely acknowledged constructivist approaches to teaching and learning (Möller, 2001), the development of personality, the consideration of basic needs (Deci & Ryan, 1993) and promotion of individual potentials are repeatedly fundamentally represented in subject related and pedagogical considerations (Feuser, 1989; GDSU, 2013). Therefore, the aforementioned constructivist approach is connected to several certain key paradigms for teaching and learning processes (e.g., Vygotskij, 1978; Posner et al., 1982; van de Pol et al., 2010). In this regard, the nature of primary school students’ basic needs have empirically not been sufficiently studied yet. Theoretical frameworks from motivational psychology (Deci & Ryan, 1993) do not explicitly address how individual needs differ and how the diversity of needs can be included in joint-learning, multi-perspective technology education classes. The research project the present paper is part of aims to develop a research-based concept for the professionalisation of pre-service teachers in a seminar course. Therefore, the promotion of the pre- service teachers’ interests and self-efficacy expectations have been assessed in a pre-post research design with a control group visiting another course not related to technology education and inclusion. The present paper describes and discusses first results of the project and will give an outlook on subsequent developmental tasks.","lang":"eng"}],"publication":"PATT39 - PATT on the Edge Technology, Innovation and Education","keyword":["Inclusion","basic needs","pre-service teacher training","interest","self-efficacy"],"language":[{"iso":"eng"}],"year":"2022","quality_controlled":"1","title":"How to enable pre-service teachers to design technological teaching and learning inclusively? – On the nature and consideration of basic needs in teacher training","date_created":"2023-01-25T15:13:45Z","editor":[{"first_name":"David","last_name":"Gill","full_name":"Gill, David"},{"first_name":"Jim","last_name":"Tuff","full_name":"Tuff, Jim"},{"first_name":"Thomas","last_name":"Kennedy","full_name":"Kennedy, Thomas"},{"first_name":"Shawn","full_name":"Pendergast, Shawn","last_name":"Pendergast"},{"first_name":"Sana","full_name":"Jamil, Sana","last_name":"Jamil"}],"status":"public","type":"conference","_id":"40046","department":[{"_id":"588"}],"user_id":"71764","series_title":"PATT Proceedings","place":"St. John’s, Newfoundland and Labrador, Canada","page":"49-57","citation":{"ama":"Schröer F, Tenberge C. How to enable pre-service teachers to design technological teaching and learning inclusively? – On the nature and consideration of basic needs in teacher training. In: Gill D, Tuff J, Kennedy T, Pendergast S, Jamil S, eds. <i>PATT39 - PATT on the Edge Technology, Innovation and Education</i>. PATT Proceedings. ; 2022:49-57.","ieee":"F. Schröer and C. Tenberge, “How to enable pre-service teachers to design technological teaching and learning inclusively? – On the nature and consideration of basic needs in teacher training,” in <i>PATT39 - PATT on the Edge Technology, Innovation and Education</i>, St. John’s, Newfoundland and Labrador, Canada, 2022, pp. 49–57.","chicago":"Schröer, Franz, and Claudia Tenberge. “How to Enable Pre-Service Teachers to Design Technological Teaching and Learning Inclusively? – On the Nature and Consideration of Basic Needs in Teacher Training.” In <i>PATT39 - PATT on the Edge Technology, Innovation and Education</i>, edited by David Gill, Jim Tuff, Thomas Kennedy, Shawn Pendergast, and Sana Jamil, 49–57. PATT Proceedings. St. John’s, Newfoundland and Labrador, Canada, 2022.","apa":"Schröer, F., &#38; Tenberge, C. (2022). How to enable pre-service teachers to design technological teaching and learning inclusively? – On the nature and consideration of basic needs in teacher training. In D. Gill, J. Tuff, T. Kennedy, S. Pendergast, &#38; S. Jamil (Eds.), <i>PATT39 - PATT on the Edge Technology, Innovation and Education</i> (pp. 49–57).","bibtex":"@inproceedings{Schröer_Tenberge_2022, place={St. John’s, Newfoundland and Labrador, Canada}, series={PATT Proceedings}, title={How to enable pre-service teachers to design technological teaching and learning inclusively? – On the nature and consideration of basic needs in teacher training}, booktitle={PATT39 - PATT on the Edge Technology, Innovation and Education}, author={Schröer, Franz and Tenberge, Claudia}, editor={Gill, David and Tuff, Jim and Kennedy, Thomas and Pendergast, Shawn and Jamil, Sana}, year={2022}, pages={49–57}, collection={PATT Proceedings} }","mla":"Schröer, Franz, and Claudia Tenberge. “How to Enable Pre-Service Teachers to Design Technological Teaching and Learning Inclusively? – On the Nature and Consideration of Basic Needs in Teacher Training.” <i>PATT39 - PATT on the Edge Technology, Innovation and Education</i>, edited by David Gill et al., 2022, pp. 49–57.","short":"F. Schröer, C. Tenberge, in: D. Gill, J. Tuff, T. Kennedy, S. Pendergast, S. Jamil (Eds.), PATT39 - PATT on the Edge Technology, Innovation and Education, St. John’s, Newfoundland and Labrador, Canada, 2022, pp. 49–57."},"publication_identifier":{"unknown":["https://research.edgehill.ac.uk/ws/portalfiles/portal/50821651/patt39_proceedings_june_17_2022.pdf"]},"publication_status":"published","conference":{"start_date":"2022-06-21","name":"PATT39 - PATT on the Edge Technology, Innovation and Education","location":"St. John’s, Newfoundland and Labrador, Canada","end_date":"2022-06-24"},"main_file_link":[{"url":"https://research.edgehill.ac.uk/ws/portalfiles/portal/50821651/patt39_proceedings_june_17_2022.pdf"}],"date_updated":"2023-01-25T15:13:57Z","author":[{"first_name":"Franz","full_name":"Schröer, Franz","id":"71764","last_name":"Schröer"},{"last_name":"Tenberge","id":"67302","full_name":"Tenberge, Claudia","first_name":"Claudia"}]},{"citation":{"apa":"Constantiou, I., Mukkamala, A., Sjöklint, M., &#38; Trier, M. (2022). Engaging with self-tracking applications: how do users respond to their performance data? <i>European Journal of Information Systems</i>, 1–21. <a href=\"https://doi.org/10.1080/0960085x.2022.2081096\">https://doi.org/10.1080/0960085x.2022.2081096</a>","bibtex":"@article{Constantiou_Mukkamala_Sjöklint_Trier_2022, title={Engaging with self-tracking applications: how do users respond to their performance data?}, DOI={<a href=\"https://doi.org/10.1080/0960085x.2022.2081096\">10.1080/0960085x.2022.2081096</a>}, journal={European Journal of Information Systems}, publisher={Informa UK Limited}, author={Constantiou, Ioanna and Mukkamala, Alivelu and Sjöklint, Mimmi and Trier, Matthias}, year={2022}, pages={1–21} }","mla":"Constantiou, Ioanna, et al. “Engaging with Self-Tracking Applications: How Do Users Respond to Their Performance Data?” <i>European Journal of Information Systems</i>, Informa UK Limited, 2022, pp. 1–21, doi:<a href=\"https://doi.org/10.1080/0960085x.2022.2081096\">10.1080/0960085x.2022.2081096</a>.","short":"I. Constantiou, A. Mukkamala, M. Sjöklint, M. Trier, European Journal of Information Systems (2022) 1–21.","chicago":"Constantiou, Ioanna, Alivelu Mukkamala, Mimmi Sjöklint, and Matthias Trier. “Engaging with Self-Tracking Applications: How Do Users Respond to Their Performance Data?” <i>European Journal of Information Systems</i>, 2022, 1–21. <a href=\"https://doi.org/10.1080/0960085x.2022.2081096\">https://doi.org/10.1080/0960085x.2022.2081096</a>.","ieee":"I. Constantiou, A. Mukkamala, M. Sjöklint, and M. Trier, “Engaging with self-tracking applications: how do users respond to their performance data?,” <i>European Journal of Information Systems</i>, pp. 1–21, 2022, doi: <a href=\"https://doi.org/10.1080/0960085x.2022.2081096\">10.1080/0960085x.2022.2081096</a>.","ama":"Constantiou I, Mukkamala A, Sjöklint M, Trier M. Engaging with self-tracking applications: how do users respond to their performance data? <i>European Journal of Information Systems</i>. Published online 2022:1-21. doi:<a href=\"https://doi.org/10.1080/0960085x.2022.2081096\">10.1080/0960085x.2022.2081096</a>"},"page":"1-21","year":"2022","publication_status":"published","publication_identifier":{"issn":["0960-085X","1476-9344"]},"doi":"10.1080/0960085x.2022.2081096","title":"Engaging with self-tracking applications: how do users respond to their performance data?","author":[{"full_name":"Constantiou, Ioanna","last_name":"Constantiou","first_name":"Ioanna"},{"first_name":"Alivelu","last_name":"Mukkamala","full_name":"Mukkamala, Alivelu"},{"last_name":"Sjöklint","full_name":"Sjöklint, Mimmi","first_name":"Mimmi"},{"last_name":"Trier","full_name":"Trier, Matthias","id":"72744","first_name":"Matthias"}],"date_created":"2023-01-11T12:13:54Z","date_updated":"2023-01-29T23:05:59Z","publisher":"Informa UK Limited","status":"public","type":"journal_article","publication":"European Journal of Information Systems","language":[{"iso":"eng"}],"keyword":["Library and Information Sciences","Information Systems","Self-Tracking","User Behaviour","Discontinuance"],"user_id":"14931","department":[{"_id":"195"}],"_id":"36083"},{"abstract":[{"lang":"eng","text":"<jats:p>Due to failures or even the absence of an electricity grid, microgrid systems are becoming popular solutions for electrifying African rural communities. However, they are heavily stressed and complex to control due to their intermittency and demand growth. Demand side management (DSM) serves as an option to increase the level of flexibility on the demand side by scheduling users’ consumption patterns profiles in response to supply. This paper proposes a demand-side management strategy based on load shifting and peak clipping. The proposed approach was modelled in a MATLAB/Simulink R2021a environment and was optimized using the artificial neural network (ANN) algorithm. Simulations were carried out to test the model’s efficacy in a stand-alone PV-battery microgrid in East Africa. The proposed algorithm reduces the peak demand, smoothing the load profile to the desired level, and improves the system’s peak to average ratio (PAR). The presence of deferrable loads has been considered to bring more flexible demand-side management. Results promise decreases in peak demand and peak to average ratio of about 31.2% and 7.5% through peak clipping. In addition, load shifting promises more flexibility to customers.</jats:p>"}],"status":"public","publication":"Energies","type":"journal_article","keyword":["Energy (miscellaneous)","Energy Engineering and Power Technology","Renewable Energy","Sustainability and the Environment","Electrical and Electronic Engineering","Control and Optimization","Engineering (miscellaneous)","Building and Construction"],"article_number":"5215","language":[{"iso":"eng"}],"_id":"47961","department":[{"_id":"53"}],"user_id":"16148","year":"2022","intvolume":"        15","citation":{"chicago":"Philipo, Godiana Hagile, Josephine Nakato Kakande, and Stefan Krauter. “Neural Network-Based Demand-Side Management in a Stand-Alone Solar PV-Battery Microgrid Using Load-Shifting and Peak-Clipping.” <i>Energies</i> 15, no. 14 (2022). <a href=\"https://doi.org/10.3390/en15145215\">https://doi.org/10.3390/en15145215</a>.","ieee":"G. H. Philipo, J. N. Kakande, and S. Krauter, “Neural Network-Based Demand-Side Management in a Stand-Alone Solar PV-Battery Microgrid Using Load-Shifting and Peak-Clipping,” <i>Energies</i>, vol. 15, no. 14, Art. no. 5215, 2022, doi: <a href=\"https://doi.org/10.3390/en15145215\">10.3390/en15145215</a>.","ama":"Philipo GH, Kakande JN, Krauter S. Neural Network-Based Demand-Side Management in a Stand-Alone Solar PV-Battery Microgrid Using Load-Shifting and Peak-Clipping. <i>Energies</i>. 2022;15(14). doi:<a href=\"https://doi.org/10.3390/en15145215\">10.3390/en15145215</a>","apa":"Philipo, G. H., Kakande, J. N., &#38; Krauter, S. (2022). Neural Network-Based Demand-Side Management in a Stand-Alone Solar PV-Battery Microgrid Using Load-Shifting and Peak-Clipping. <i>Energies</i>, <i>15</i>(14), Article 5215. <a href=\"https://doi.org/10.3390/en15145215\">https://doi.org/10.3390/en15145215</a>","mla":"Philipo, Godiana Hagile, et al. “Neural Network-Based Demand-Side Management in a Stand-Alone Solar PV-Battery Microgrid Using Load-Shifting and Peak-Clipping.” <i>Energies</i>, vol. 15, no. 14, 5215, MDPI AG, 2022, doi:<a href=\"https://doi.org/10.3390/en15145215\">10.3390/en15145215</a>.","short":"G.H. Philipo, J.N. Kakande, S. Krauter, Energies 15 (2022).","bibtex":"@article{Philipo_Kakande_Krauter_2022, title={Neural Network-Based Demand-Side Management in a Stand-Alone Solar PV-Battery Microgrid Using Load-Shifting and Peak-Clipping}, volume={15}, DOI={<a href=\"https://doi.org/10.3390/en15145215\">10.3390/en15145215</a>}, number={145215}, journal={Energies}, publisher={MDPI AG}, author={Philipo, Godiana Hagile and Kakande, Josephine Nakato and Krauter, Stefan}, year={2022} }"},"publication_identifier":{"issn":["1996-1073"]},"publication_status":"published","issue":"14","title":"Neural Network-Based Demand-Side Management in a Stand-Alone Solar PV-Battery Microgrid Using Load-Shifting and Peak-Clipping","doi":"10.3390/en15145215","date_updated":"2024-10-17T08:46:23Z","publisher":"MDPI AG","volume":15,"date_created":"2023-10-11T08:13:13Z","author":[{"first_name":"Godiana Hagile","last_name":"Philipo","full_name":"Philipo, Godiana Hagile","id":"88505"},{"first_name":"Josephine Nakato","id":"88649","full_name":"Kakande, Josephine Nakato","last_name":"Kakande"},{"id":"28836","full_name":"Krauter, Stefan","orcid":"0000-0002-3594-260X","last_name":"Krauter","first_name":"Stefan"}]},{"keyword":["neural networks","physics-guided","data-driven","multi-objective optimization","system identification","machine learning","dynamical systems"],"language":[{"iso":"eng"}],"abstract":[{"text":"While trade-offs between modeling effort and model accuracy remain a major concern with system identification, resorting to data-driven methods often leads to a complete disregard for physical plausibility. To address this issue, we propose a physics-guided hybrid approach for modeling non-autonomous systems under control. Starting from a traditional physics-based model, this is extended by a recurrent neural network and trained using a sophisticated multi-objective strategy yielding physically plausible models. While purely data-driven methods fail to produce satisfying results, experiments conducted on real data reveal substantial accuracy improvements by our approach compared to a physics-based model. ","lang":"eng"}],"publication":"14th IFAC Workshop on Adaptive and Learning Control Systems (ALCOS 2022)","title":"Multi-Objective Physics-Guided Recurrent Neural Networks for Identifying Non-Autonomous Dynamical Systems","date_created":"2022-05-05T06:22:55Z","year":"2022","quality_controlled":"1","issue":"12","_id":"31066","user_id":"43992","department":[{"_id":"153"},{"_id":"880"}],"status":"public","type":"conference","doi":"https://doi.org/10.1016/j.ifacol.2022.07.282","conference":{"name":"14th IFAC Workshop on Adaptive and Learning Control Systems (ALCOS 2022)","start_date":"2022-06-29","end_date":"2022-07-01","location":"Casablanca, Morocco"},"date_updated":"2024-11-13T08:43:16Z","author":[{"first_name":"Oliver","last_name":"Schön","full_name":"Schön, Oliver"},{"id":"43992","full_name":"Götte, Ricarda-Samantha","last_name":"Götte","first_name":"Ricarda-Samantha"},{"first_name":"Julia","last_name":"Timmermann","full_name":"Timmermann, Julia","id":"15402"}],"volume":55,"citation":{"ama":"Schön O, Götte R-S, Timmermann J. Multi-Objective Physics-Guided Recurrent Neural Networks for Identifying Non-Autonomous Dynamical Systems. In: <i>14th IFAC Workshop on Adaptive and Learning Control Systems (ALCOS 2022)</i>. Vol 55. ; 2022:19-24. doi:<a href=\"https://doi.org/10.1016/j.ifacol.2022.07.282\">https://doi.org/10.1016/j.ifacol.2022.07.282</a>","ieee":"O. Schön, R.-S. Götte, and J. Timmermann, “Multi-Objective Physics-Guided Recurrent Neural Networks for Identifying Non-Autonomous Dynamical Systems,” in <i>14th IFAC Workshop on Adaptive and Learning Control Systems (ALCOS 2022)</i>, Casablanca, Morocco, 2022, vol. 55, no. 12, pp. 19–24, doi: <a href=\"https://doi.org/10.1016/j.ifacol.2022.07.282\">https://doi.org/10.1016/j.ifacol.2022.07.282</a>.","chicago":"Schön, Oliver, Ricarda-Samantha Götte, and Julia Timmermann. “Multi-Objective Physics-Guided Recurrent Neural Networks for Identifying Non-Autonomous Dynamical Systems.” In <i>14th IFAC Workshop on Adaptive and Learning Control Systems (ALCOS 2022)</i>, 55:19–24, 2022. <a href=\"https://doi.org/10.1016/j.ifacol.2022.07.282\">https://doi.org/10.1016/j.ifacol.2022.07.282</a>.","mla":"Schön, Oliver, et al. “Multi-Objective Physics-Guided Recurrent Neural Networks for Identifying Non-Autonomous Dynamical Systems.” <i>14th IFAC Workshop on Adaptive and Learning Control Systems (ALCOS 2022)</i>, vol. 55, no. 12, 2022, pp. 19–24, doi:<a href=\"https://doi.org/10.1016/j.ifacol.2022.07.282\">https://doi.org/10.1016/j.ifacol.2022.07.282</a>.","bibtex":"@inproceedings{Schön_Götte_Timmermann_2022, title={Multi-Objective Physics-Guided Recurrent Neural Networks for Identifying Non-Autonomous Dynamical Systems}, volume={55}, DOI={<a href=\"https://doi.org/10.1016/j.ifacol.2022.07.282\">https://doi.org/10.1016/j.ifacol.2022.07.282</a>}, number={12}, booktitle={14th IFAC Workshop on Adaptive and Learning Control Systems (ALCOS 2022)}, author={Schön, Oliver and Götte, Ricarda-Samantha and Timmermann, Julia}, year={2022}, pages={19–24} }","short":"O. Schön, R.-S. Götte, J. Timmermann, in: 14th IFAC Workshop on Adaptive and Learning Control Systems (ALCOS 2022), 2022, pp. 19–24.","apa":"Schön, O., Götte, R.-S., &#38; Timmermann, J. (2022). Multi-Objective Physics-Guided Recurrent Neural Networks for Identifying Non-Autonomous Dynamical Systems. <i>14th IFAC Workshop on Adaptive and Learning Control Systems (ALCOS 2022)</i>, <i>55</i>(12), 19–24. <a href=\"https://doi.org/10.1016/j.ifacol.2022.07.282\">https://doi.org/10.1016/j.ifacol.2022.07.282</a>"},"intvolume":"        55","page":"19-24"},{"keyword":["Bayesian optimization","Wire bonding","Feed-forward control","model-free design"],"language":[{"iso":"eng"}],"_id":"29803","department":[{"_id":"153"},{"_id":"880"}],"user_id":"82875","abstract":[{"lang":"eng","text":"Ultrasonic wire bonding is a solid-state joining process used to form electrical interconnections in micro and\r\npower electronics and batteries. A high frequency oscillation causes a metallurgical bond deformation in\r\nthe contact area. Due to the numerous physical influencing factors, it is very difficult to accurately capture\r\nthis process in a model. Therefore, our goal is to determine a suitable feed-forward control strategy for the\r\nbonding process even without detailed model knowledge. We propose the use of batch constrained Bayesian\r\noptimization for the control design. Hence, Bayesian optimization is precisely adapted to the application of\r\nbonding: the constraint is used to check one quality feature of the process and the use of batches leads to\r\nmore efficient experiments. Our approach is suitable to determine a feed-forward control for the bonding\r\nprocess that provides very high quality bonds without using a physical model. We also show that the quality\r\nof the Bayesian optimization based control outperforms random search as well as manual search by a user.\r\nUsing a simple prior knowledge model derived from data further improves the quality of the connection.\r\nThe Bayesian optimization approach offers the possibility to perform a sensitivity analysis of the control\r\nparameters, which allows to evaluate the influence of each control parameter on the bond quality. In summary,\r\nBayesian optimization applied to the bonding process provides an excellent opportunity to develop a feedforward\r\ncontrol without full modeling of the underlying physical processes."}],"status":"public","publication":"Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods (ICPRAM)","type":"conference","title":"Batch Constrained Bayesian Optimization for UltrasonicWire Bonding Feed-forward Control Design","conference":{"end_date":"2022-02-05","location":"Online","name":"11th International Conference on Pattern Recognition Applications and Methods","start_date":"2022-02-03"},"date_updated":"2024-11-13T08:44:17Z","date_created":"2022-02-09T12:50:25Z","author":[{"last_name":"Hesse","full_name":"Hesse, Michael","id":"29222","first_name":"Michael"},{"full_name":"Hunstig, Matthias","last_name":"Hunstig","first_name":"Matthias"},{"first_name":"Julia","full_name":"Timmermann, Julia","id":"15402","last_name":"Timmermann"},{"first_name":"Ansgar","id":"552","full_name":"Trächtler, Ansgar","last_name":"Trächtler"}],"year":"2022","page":"383-394","citation":{"short":"M. Hesse, M. Hunstig, J. Timmermann, A. Trächtler, in: Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods (ICPRAM), 2022, pp. 383–394.","bibtex":"@inproceedings{Hesse_Hunstig_Timmermann_Trächtler_2022, title={Batch Constrained Bayesian Optimization for UltrasonicWire Bonding Feed-forward Control Design}, booktitle={Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods (ICPRAM)}, author={Hesse, Michael and Hunstig, Matthias and Timmermann, Julia and Trächtler, Ansgar}, year={2022}, pages={383–394} }","mla":"Hesse, Michael, et al. “Batch Constrained Bayesian Optimization for UltrasonicWire Bonding Feed-Forward Control Design.” <i>Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods (ICPRAM)</i>, 2022, pp. 383–94.","apa":"Hesse, M., Hunstig, M., Timmermann, J., &#38; Trächtler, A. (2022). Batch Constrained Bayesian Optimization for UltrasonicWire Bonding Feed-forward Control Design. <i>Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods (ICPRAM)</i>, 383–394.","ama":"Hesse M, Hunstig M, Timmermann J, Trächtler A. Batch Constrained Bayesian Optimization for UltrasonicWire Bonding Feed-forward Control Design. In: <i>Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods (ICPRAM)</i>. ; 2022:383-394.","ieee":"M. Hesse, M. Hunstig, J. Timmermann, and A. Trächtler, “Batch Constrained Bayesian Optimization for UltrasonicWire Bonding Feed-forward Control Design,” in <i>Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods (ICPRAM)</i>, Online, 2022, pp. 383–394.","chicago":"Hesse, Michael, Matthias Hunstig, Julia Timmermann, and Ansgar Trächtler. “Batch Constrained Bayesian Optimization for UltrasonicWire Bonding Feed-Forward Control Design.” In <i>Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods (ICPRAM)</i>, 383–94, 2022."},"publication_identifier":{"isbn":["978-989-758-549-4"]},"quality_controlled":"1"},{"article_type":"original","file_date_updated":"2022-12-20T14:23:57Z","_id":"34614","department":[{"_id":"574"}],"user_id":"33185","status":"public","type":"journal_article","doi":"10.25969/MEDIAREP/18238","date_updated":"2024-11-22T10:09:55Z","volume":6,"author":[{"first_name":"Franziska Margarete","orcid":"0009-0008-9673-2615","last_name":"Schloots","full_name":"Schloots, Franziska Margarete","id":"33185"}],"intvolume":"         6","page":"74-91","citation":{"apa":"Schloots, F. M. (2022). ‚Understand what’s happening within‘. Selbstkontrolle mit Personenwaage, Wearable und habit tracker. <i>ffk Journal</i>, <i>6</i>(7), 74–91. <a href=\"https://doi.org/10.25969/MEDIAREP/18238\">https://doi.org/10.25969/MEDIAREP/18238</a>","short":"F.M. Schloots, ffk Journal 6 (2022) 74–91.","mla":"Schloots, Franziska Margarete. “‚Understand what’s happening within‘. Selbstkontrolle mit Personenwaage, Wearable und habit tracker.” <i>ffk Journal</i>, vol. 6, no. 7, 2022, pp. 74–91, doi:<a href=\"https://doi.org/10.25969/MEDIAREP/18238\">10.25969/MEDIAREP/18238</a>.","bibtex":"@article{Schloots_2022, title={‚Understand what’s happening within‘. Selbstkontrolle mit Personenwaage, Wearable und habit tracker}, volume={6}, DOI={<a href=\"https://doi.org/10.25969/MEDIAREP/18238\">10.25969/MEDIAREP/18238</a>}, number={7}, journal={ffk Journal}, author={Schloots, Franziska Margarete}, year={2022}, pages={74–91} }","ama":"Schloots FM. ‚Understand what’s happening within‘. Selbstkontrolle mit Personenwaage, Wearable und habit tracker. <i>ffk Journal</i>. 2022;6(7):74-91. doi:<a href=\"https://doi.org/10.25969/MEDIAREP/18238\">10.25969/MEDIAREP/18238</a>","ieee":"F. M. Schloots, “‚Understand what’s happening within‘. Selbstkontrolle mit Personenwaage, Wearable und habit tracker,” <i>ffk Journal</i>, vol. 6, no. 7, pp. 74–91, 2022, doi: <a href=\"https://doi.org/10.25969/MEDIAREP/18238\">10.25969/MEDIAREP/18238</a>.","chicago":"Schloots, Franziska Margarete. “‚Understand what’s happening within‘. Selbstkontrolle mit Personenwaage, Wearable und habit tracker.” <i>ffk Journal</i> 6, no. 7 (2022): 74–91. <a href=\"https://doi.org/10.25969/MEDIAREP/18238\">https://doi.org/10.25969/MEDIAREP/18238</a>."},"has_accepted_license":"1","publication_status":"published","keyword":["self-tracking","Selbsttechnologien","Wearable","Bullet Journal","Personenwaage","Selbstvermessung"],"ddc":["040"],"language":[{"iso":"ger"}],"abstract":[{"text":"Mit steigenden Optimierungsanforderungen an das Individuum wächst auch das indivi-\r\nduelle Bedürfnis nach Kontrolle. Dieses kann u. a. durch self tracking-Technologien erfüllt werden.\r\nAnhand von drei Fallbeispielen – der Personenwaage, dem Wearable und dem habit tracker – zeigt\r\ndieser Aufsatz, wie sich medienbasierte Selbsttechnologien im historischen Verlauf intensiviert und\r\nstärker in den Alltag integriert haben. Ein besonderer Fokus liegt dabei auf der Ambivalenz dieser\r\nMedien: Ermöglichen sie auf der einen Seite zwar eine Selbstkontrolle und stellen so potenziell sta-\r\nbilisierende Ressourcen für das Individuum dar, schaffen sie auf der anderen Seite auch neue\r\nAnforderungen, die es zu erfüllen gilt.","lang":"ger"}],"file":[{"creator":"fms","date_created":"2022-12-20T14:23:57Z","date_updated":"2022-12-20T14:23:57Z","file_id":"34616","file_name":"ffk_journal_07_74-91_Schloots_Selbstkontrolle_.pdf","access_level":"closed","file_size":530069,"content_type":"application/pdf","relation":"main_file","success":1}],"publication":"ffk Journal","title":"‚Understand what’s happening within‘. Selbstkontrolle mit Personenwaage, Wearable und habit tracker","date_created":"2022-12-20T14:20:56Z","year":"2022","issue":"7"},{"citation":{"bibtex":"@article{Wever_Tornede_Mohr_Hüllermeier_2021, title={AutoML for Multi-Label Classification: Overview and Empirical Evaluation}, DOI={<a href=\"https://doi.org/10.1109/tpami.2021.3051276\">10.1109/tpami.2021.3051276</a>}, journal={IEEE Transactions on Pattern Analysis and Machine Intelligence}, author={Wever, Marcel Dominik and Tornede, Alexander and Mohr, Felix and Hüllermeier, Eyke}, year={2021}, pages={1–1} }","short":"M.D. Wever, A. Tornede, F. Mohr, E. Hüllermeier, IEEE Transactions on Pattern Analysis and Machine Intelligence (2021) 1–1.","mla":"Wever, Marcel Dominik, et al. “AutoML for Multi-Label Classification: Overview and Empirical Evaluation.” <i>IEEE Transactions on Pattern Analysis and Machine Intelligence</i>, 2021, pp. 1–1, doi:<a href=\"https://doi.org/10.1109/tpami.2021.3051276\">10.1109/tpami.2021.3051276</a>.","apa":"Wever, M. D., Tornede, A., Mohr, F., &#38; Hüllermeier, E. (2021). AutoML for Multi-Label Classification: Overview and Empirical Evaluation. <i>IEEE Transactions on Pattern Analysis and Machine Intelligence</i>, 1–1. <a href=\"https://doi.org/10.1109/tpami.2021.3051276\">https://doi.org/10.1109/tpami.2021.3051276</a>","ama":"Wever MD, Tornede A, Mohr F, Hüllermeier E. AutoML for Multi-Label Classification: Overview and Empirical Evaluation. <i>IEEE Transactions on Pattern Analysis and Machine Intelligence</i>. Published online 2021:1-1. doi:<a href=\"https://doi.org/10.1109/tpami.2021.3051276\">10.1109/tpami.2021.3051276</a>","ieee":"M. D. Wever, A. Tornede, F. Mohr, and E. Hüllermeier, “AutoML for Multi-Label Classification: Overview and Empirical Evaluation,” <i>IEEE Transactions on Pattern Analysis and Machine Intelligence</i>, pp. 1–1, 2021, doi: <a href=\"https://doi.org/10.1109/tpami.2021.3051276\">10.1109/tpami.2021.3051276</a>.","chicago":"Wever, Marcel Dominik, Alexander Tornede, Felix Mohr, and Eyke Hüllermeier. “AutoML for Multi-Label Classification: Overview and Empirical Evaluation.” <i>IEEE Transactions on Pattern Analysis and Machine Intelligence</i>, 2021, 1–1. <a href=\"https://doi.org/10.1109/tpami.2021.3051276\">https://doi.org/10.1109/tpami.2021.3051276</a>."},"page":"1-1","year":"2021","publication_status":"published","publication_identifier":{"issn":["0162-8828","2160-9292","1939-3539"]},"doi":"10.1109/tpami.2021.3051276","title":"AutoML for Multi-Label Classification: Overview and Empirical Evaluation","date_created":"2021-01-16T14:48:13Z","author":[{"first_name":"Marcel Dominik","id":"33176","full_name":"Wever, Marcel Dominik","orcid":" https://orcid.org/0000-0001-9782-6818","last_name":"Wever"},{"first_name":"Alexander","last_name":"Tornede","id":"38209","full_name":"Tornede, Alexander"},{"first_name":"Felix","last_name":"Mohr","full_name":"Mohr, Felix"},{"first_name":"Eyke","last_name":"Hüllermeier","id":"48129","full_name":"Hüllermeier, Eyke"}],"date_updated":"2022-01-06T06:54:42Z","status":"public","abstract":[{"text":"Automated machine learning (AutoML) supports the algorithmic construction and data-specific customization of machine learning pipelines, including the selection, combination, and parametrization of machine learning algorithms as main constituents. Generally speaking, AutoML approaches comprise two major components: a search space model and an optimizer for traversing the space. Recent approaches have shown impressive results in the realm of supervised learning, most notably (single-label) classification (SLC). Moreover, first attempts at extending these approaches towards multi-label classification (MLC) have been made. While the space of candidate pipelines is already huge in SLC, the complexity of the search space is raised to an even higher power in MLC. One may wonder, therefore, whether and to what extent optimizers established for SLC can scale to this increased complexity, and how they compare to each other. This paper makes the following contributions: First, we survey existing approaches to AutoML for MLC. Second, we augment these approaches with optimizers not previously tried for MLC. Third, we propose a benchmarking framework that supports a fair and systematic comparison. Fourth, we conduct an extensive experimental study, evaluating the methods on a suite of MLC problems. We find a grammar-based best-first search to compare favorably to other optimizers.","lang":"eng"}],"type":"journal_article","publication":"IEEE Transactions on Pattern Analysis and Machine Intelligence","language":[{"iso":"eng"}],"keyword":["Automated Machine Learning","Multi Label Classification","Hierarchical Planning","Bayesian Optimization"],"user_id":"5786","department":[{"_id":"34"},{"_id":"355"},{"_id":"26"}],"project":[{"name":"SFB 901","_id":"1"},{"name":"SFB 901 - Project Area B","_id":"3"},{"name":"SFB 901 - Subproject B2","_id":"10"},{"_id":"52","name":"Computing Resources Provided by the Paderborn Center for Parallel Computing"}],"_id":"21004"},{"project":[{"name":"SFB 901","_id":"1"},{"name":"SFB 901 - Project Area C","_id":"4"},{"name":"SFB 901 - Subproject C4","_id":"16"}],"_id":"21808","user_id":"35343","department":[{"_id":"75"}],"ddc":["000"],"article_type":"original","keyword":["network management","service management","coordination","reinforcement learning","self-learning","self-adaptation","multi-objective"],"file_date_updated":"2021-04-27T08:01:26Z","language":[{"iso":"eng"}],"type":"journal_article","publication":"Transactions on Network and Service Management","abstract":[{"text":"Modern services consist of interconnected components,e.g., microservices in a service mesh or machine learning functions in a pipeline. These services can scale and run across multiple network nodes on demand. To process incoming traffic, service components have to be instantiated and traffic assigned to these instances, taking capacities, changing demands, and Quality of Service (QoS) requirements into account. This challenge is usually solved with custom approaches designed by experts. While this typically works well for the considered scenario, the models often rely on unrealistic assumptions or on knowledge that is not available in practice (e.g., a priori knowledge).\r\n\r\nWe propose DeepCoord, a novel deep reinforcement learning approach that learns how to best coordinate services and is geared towards realistic assumptions. It interacts with the network and relies on available, possibly delayed monitoring information. Rather than defining a complex model or an algorithm on how to achieve an objective, our model-free approach adapts to various objectives and traffic patterns. An agent is trained offline without expert knowledge and then applied online with minimal overhead. Compared to a state-of-the-art heuristic, DeepCoord significantly improves flow throughput (up to 76%) and overall network utility (more than 2x) on realworld network topologies and traffic traces. It also supports optimizing multiple, possibly competing objectives, learns to respect QoS requirements, generalizes to scenarios with unseen, stochastic traffic, and scales to large real-world networks. For reproducibility and reuse, our code is publicly available.","lang":"eng"}],"file":[{"file_id":"21809","file_name":"ris-accepted-version.pdf","access_level":"open_access","description":"Author version of the accepted paper","file_size":4172270,"creator":"stschn","date_created":"2021-04-27T08:01:26Z","date_updated":"2021-04-27T08:01:26Z","relation":"main_file","content_type":"application/pdf"}],"status":"public","date_updated":"2022-01-06T06:55:15Z","oa":"1","publisher":"IEEE","author":[{"full_name":"Schneider, Stefan Balthasar","id":"35343","orcid":"0000-0001-8210-4011","last_name":"Schneider","first_name":"Stefan Balthasar"},{"first_name":"Ramin","last_name":"Khalili","full_name":"Khalili, Ramin"},{"first_name":"Adnan","full_name":"Manzoor, Adnan","last_name":"Manzoor"},{"full_name":"Qarawlus, Haydar","last_name":"Qarawlus","first_name":"Haydar"},{"first_name":"Rafael","full_name":"Schellenberg, Rafael","last_name":"Schellenberg"},{"id":"126","full_name":"Karl, Holger","last_name":"Karl","first_name":"Holger"},{"last_name":"Hecker","full_name":"Hecker, Artur","first_name":"Artur"}],"date_created":"2021-04-27T08:04:16Z","title":"Self-Learning Multi-Objective Service Coordination Using Deep Reinforcement Learning","doi":"10.1109/TNSM.2021.3076503","has_accepted_license":"1","year":"2021","citation":{"ieee":"S. B. Schneider <i>et al.</i>, “Self-Learning Multi-Objective Service Coordination Using Deep Reinforcement Learning,” <i>Transactions on Network and Service Management</i>, 2021.","chicago":"Schneider, Stefan Balthasar, Ramin Khalili, Adnan Manzoor, Haydar Qarawlus, Rafael Schellenberg, Holger Karl, and Artur Hecker. “Self-Learning Multi-Objective Service Coordination Using Deep Reinforcement Learning.” <i>Transactions on Network and Service Management</i>, 2021. <a href=\"https://doi.org/10.1109/TNSM.2021.3076503\">https://doi.org/10.1109/TNSM.2021.3076503</a>.","ama":"Schneider SB, Khalili R, Manzoor A, et al. Self-Learning Multi-Objective Service Coordination Using Deep Reinforcement Learning. <i>Transactions on Network and Service Management</i>. 2021. doi:<a href=\"https://doi.org/10.1109/TNSM.2021.3076503\">10.1109/TNSM.2021.3076503</a>","apa":"Schneider, S. B., Khalili, R., Manzoor, A., Qarawlus, H., Schellenberg, R., Karl, H., &#38; Hecker, A. (2021). Self-Learning Multi-Objective Service Coordination Using Deep Reinforcement Learning. <i>Transactions on Network and Service Management</i>. <a href=\"https://doi.org/10.1109/TNSM.2021.3076503\">https://doi.org/10.1109/TNSM.2021.3076503</a>","mla":"Schneider, Stefan Balthasar, et al. “Self-Learning Multi-Objective Service Coordination Using Deep Reinforcement Learning.” <i>Transactions on Network and Service Management</i>, IEEE, 2021, doi:<a href=\"https://doi.org/10.1109/TNSM.2021.3076503\">10.1109/TNSM.2021.3076503</a>.","bibtex":"@article{Schneider_Khalili_Manzoor_Qarawlus_Schellenberg_Karl_Hecker_2021, title={Self-Learning Multi-Objective Service Coordination Using Deep Reinforcement Learning}, DOI={<a href=\"https://doi.org/10.1109/TNSM.2021.3076503\">10.1109/TNSM.2021.3076503</a>}, journal={Transactions on Network and Service Management}, publisher={IEEE}, author={Schneider, Stefan Balthasar and Khalili, Ramin and Manzoor, Adnan and Qarawlus, Haydar and Schellenberg, Rafael and Karl, Holger and Hecker, Artur}, year={2021} }","short":"S.B. Schneider, R. Khalili, A. Manzoor, H. Qarawlus, R. Schellenberg, H. Karl, A. Hecker, Transactions on Network and Service Management (2021)."}},{"_id":"33854","project":[{"_id":"4","name":"SFB 901 - C: SFB 901 - Project Area C"},{"name":"SFB 901 - C4: SFB 901 - Subproject C4","_id":"16"},{"name":"SFB 901: SFB 901","_id":"1"}],"department":[{"_id":"75"}],"user_id":"477","keyword":["mobility management","coordinated multipoint","CoMP","cell selection","resource management","reinforcement learning","multi agent","MARL","self-learning","self-adaptation","QoE"],"ddc":["004"],"language":[{"iso":"eng"}],"file_date_updated":"2022-10-20T16:41:10Z","type":"working_paper","abstract":[{"lang":"eng","text":"Macrodiversity is a key technique to increase the capacity of mobile networks. It can be realized using coordinated multipoint (CoMP), simultaneously connecting users to multiple overlapping cells. Selecting which users to serve by how many and which cells is NP-hard but needs to happen continuously in real time as users move and channel state changes. Existing approaches often require strict assumptions about or perfect knowledge of the underlying radio system, its resource allocation scheme, or user movements, none of which is readily available in practice.\r\n\r\nInstead, we propose three novel self-learning and self-adapting approaches using model-free deep reinforcement learning (DRL): DeepCoMP, DD-CoMP, and D3-CoMP. DeepCoMP leverages central observations and control of all users to select cells almost optimally. DD-CoMP and D3-CoMP use multi-agent DRL, which allows distributed, robust, and highly scalable coordination. All three approaches learn from experience and self-adapt to varying scenarios, reaching 2x higher Quality of Experience than other approaches. They have very few built-in assumptions and do not need prior system knowledge, making them more robust to change and better applicable in practice than existing approaches."}],"status":"public","file":[{"date_created":"2022-10-20T16:41:10Z","creator":"stschn","date_updated":"2022-10-20T16:41:10Z","file_id":"33855","file_name":"preprint.pdf","access_level":"open_access","file_size":2521656,"content_type":"application/pdf","relation":"main_file"}],"oa":"1","date_updated":"2022-11-18T09:59:27Z","date_created":"2022-10-20T16:44:19Z","author":[{"orcid":"0000-0001-8210-4011","last_name":"Schneider","full_name":"Schneider, Stefan Balthasar","id":"35343","first_name":"Stefan Balthasar"},{"first_name":"Holger","full_name":"Karl, Holger","id":"126","last_name":"Karl"},{"first_name":"Ramin","last_name":"Khalili","full_name":"Khalili, Ramin"},{"full_name":"Hecker, Artur","last_name":"Hecker","first_name":"Artur"}],"title":"DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning","has_accepted_license":"1","year":"2021","citation":{"short":"S.B. Schneider, H. Karl, R. Khalili, A. Hecker, DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning, 2021.","bibtex":"@book{Schneider_Karl_Khalili_Hecker_2021, title={DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning}, author={Schneider, Stefan Balthasar and Karl, Holger and Khalili, Ramin and Hecker, Artur}, year={2021} }","mla":"Schneider, Stefan Balthasar, et al. <i>DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning</i>. 2021.","apa":"Schneider, S. B., Karl, H., Khalili, R., &#38; Hecker, A. (2021). <i>DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning</i>.","ieee":"S. B. Schneider, H. Karl, R. Khalili, and A. Hecker, <i>DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning</i>. 2021.","chicago":"Schneider, Stefan Balthasar, Holger Karl, Ramin Khalili, and Artur Hecker. <i>DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning</i>, 2021.","ama":"Schneider SB, Karl H, Khalili R, Hecker A. <i>DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning</i>.; 2021."}}]
