--- _id: '48869' abstract: - lang: eng 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. author: - first_name: Jakob full_name: Bossek, Jakob id: '102979' last_name: Bossek orcid: 0000-0002-4121-4668 - first_name: Aneta full_name: Neumann, Aneta last_name: Neumann - first_name: Frank full_name: Neumann, Frank last_name: Neumann citation: 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: Proceedings of the Genetic and Evolutionary Computation Conference. GECCO’23. Association for Computing Machinery; 2023:248–256. doi:10.1145/3583131.3590384' apa: Bossek, J., Neumann, A., & Neumann, F. (2023). On the Impact of Basic Mutation Operators and Populations within Evolutionary Algorithms for the Dynamic Weighted Traveling Salesperson Problem. Proceedings of the Genetic and Evolutionary Computation Conference, 248–256. https://doi.org/10.1145/3583131.3590384 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={10.1145/3583131.3590384}, 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} }' 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 Proceedings of the Genetic and Evolutionary Computation Conference, 248–256. GECCO’23. New York, NY, USA: Association for Computing Machinery, 2023. https://doi.org/10.1145/3583131.3590384.' 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 Proceedings of the Genetic and Evolutionary Computation Conference, 2023, pp. 248–256, doi: 10.1145/3583131.3590384.' mla: Bossek, Jakob, et al. “On the Impact of Basic Mutation Operators and Populations within Evolutionary Algorithms for the Dynamic Weighted Traveling Salesperson Problem.” Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, 2023, pp. 248–256, doi:10.1145/3583131.3590384. 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.' date_created: 2023-11-14T15:58:56Z date_updated: 2023-12-13T10:46:27Z department: - _id: '819' doi: 10.1145/3583131.3590384 extern: '1' keyword: - dynamic optimization - evolutionary algorithms - re-optimization - weighted traveling salesperson problem language: - iso: eng page: 248–256 place: New York, NY, USA publication: Proceedings of the Genetic and Evolutionary Computation Conference publication_identifier: isbn: - '9798400701191' publisher: Association for Computing Machinery series_title: GECCO’23 status: public title: On the Impact of Basic Mutation Operators and Populations within Evolutionary Algorithms for the Dynamic Weighted Traveling Salesperson Problem type: conference user_id: '102979' year: '2023' ... --- _id: '53317' author: - first_name: Youshan full_name: Tao, Youshan last_name: Tao - first_name: Michael full_name: Winkler, Michael last_name: Winkler citation: ama: Tao Y, Winkler M. Global smooth solutions in a three-dimensional cross-diffusive SIS epidemic model with saturated taxis at large densities. Evolution Equations and Control Theory. 2023;12(6):1676-1687. doi:10.3934/eect.2023031 apa: Tao, Y., & Winkler, M. (2023). Global smooth solutions in a three-dimensional cross-diffusive SIS epidemic model with saturated taxis at large densities. Evolution Equations and Control Theory, 12(6), 1676–1687. https://doi.org/10.3934/eect.2023031 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={10.3934/eect.2023031}, 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} }' chicago: 'Tao, Youshan, and Michael Winkler. “Global Smooth Solutions in a Three-Dimensional Cross-Diffusive SIS Epidemic Model with Saturated Taxis at Large Densities.” Evolution Equations and Control Theory 12, no. 6 (2023): 1676–87. https://doi.org/10.3934/eect.2023031.' ieee: 'Y. Tao and M. Winkler, “Global smooth solutions in a three-dimensional cross-diffusive SIS epidemic model with saturated taxis at large densities,” Evolution Equations and Control Theory, vol. 12, no. 6, pp. 1676–1687, 2023, doi: 10.3934/eect.2023031.' mla: Tao, Youshan, and Michael Winkler. “Global Smooth Solutions in a Three-Dimensional Cross-Diffusive SIS Epidemic Model with Saturated Taxis at Large Densities.” Evolution Equations and Control Theory, vol. 12, no. 6, American Institute of Mathematical Sciences (AIMS), 2023, pp. 1676–87, doi:10.3934/eect.2023031. short: Y. Tao, M. Winkler, Evolution Equations and Control Theory 12 (2023) 1676–1687. date_created: 2024-04-07T12:30:25Z date_updated: 2024-04-07T12:36:17Z doi: 10.3934/eect.2023031 intvolume: ' 12' issue: '6' keyword: - Applied Mathematics - Control and Optimization - Modeling and Simulation language: - iso: eng page: 1676-1687 publication: Evolution Equations and Control Theory publication_identifier: issn: - 2163-2480 publication_status: published publisher: American Institute of Mathematical Sciences (AIMS) status: public title: Global smooth solutions in a three-dimensional cross-diffusive SIS epidemic model with saturated taxis at large densities type: journal_article user_id: '31496' volume: 12 year: '2023' ... --- _id: '30289' 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. author: - first_name: Michael full_name: Goller, Michael id: '30984' last_name: Goller orcid: 0000-0002-2820-9178 - first_name: Susanna full_name: Paloniemi, Susanna last_name: Paloniemi citation: ama: 'Goller M, Paloniemi S. Agency: Taking Stock of Workplace Learning Research. In: Research Approaches on Workplace Learning. Springer International Publishing; 2022. doi:10.1007/978-3-030-89582-2_1' apa: 'Goller, M., & Paloniemi, S. (2022). Agency: Taking Stock of Workplace Learning Research. In Research Approaches on Workplace Learning. Springer International Publishing. https://doi.org/10.1007/978-3-030-89582-2_1' bibtex: '@inbook{Goller_Paloniemi_2022, place={Cham}, title={Agency: Taking Stock of Workplace Learning Research}, DOI={10.1007/978-3-030-89582-2_1}, booktitle={Research Approaches on Workplace Learning}, publisher={Springer International Publishing}, author={Goller, Michael and Paloniemi, Susanna}, year={2022} }' chicago: 'Goller, Michael, and Susanna Paloniemi. “Agency: Taking Stock of Workplace Learning Research.” In Research Approaches on Workplace Learning. Cham: Springer International Publishing, 2022. https://doi.org/10.1007/978-3-030-89582-2_1.' ieee: 'M. Goller and S. Paloniemi, “Agency: Taking Stock of Workplace Learning Research,” in Research Approaches on Workplace Learning, Cham: Springer International Publishing, 2022.' mla: 'Goller, Michael, and Susanna Paloniemi. “Agency: Taking Stock of Workplace Learning Research.” Research Approaches on Workplace Learning, Springer International Publishing, 2022, doi:10.1007/978-3-030-89582-2_1.' short: 'M. Goller, S. Paloniemi, in: Research Approaches on Workplace Learning, Springer International Publishing, Cham, 2022.' date_created: 2022-03-13T19:09:20Z date_updated: 2022-03-13T19:14:43Z department: - _id: '452' doi: 10.1007/978-3-030-89582-2_1 keyword: - Agency Workplace learning Professional development Proactivity Self-direction language: - iso: eng place: Cham publication: Research Approaches on Workplace Learning publication_identifier: isbn: - '9783030895815' - '9783030895822' issn: - 2210-5549 - 2210-5557 publication_status: published publisher: Springer International Publishing related_material: link: - relation: other url: https://link.springer.com/chapter/10.1007/978-3-030-89582-2_1#Abs1 status: public title: 'Agency: Taking Stock of Workplace Learning Research' type: book_chapter user_id: '50788' year: '2022' ... --- _id: '30290' 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. author: - first_name: Christian full_name: Harteis, Christian id: '27503' last_name: Harteis orcid: https://orcid.org/0000-0002-3570-7626 citation: ama: 'Harteis C. Research on Workplace Learning in Times of Digitalisation. In: Research Approaches on Workplace Learning. Springer International Publishing; 2022. doi:10.1007/978-3-030-89582-2_19' apa: Harteis, C. (2022). Research on Workplace Learning in Times of Digitalisation. In Research Approaches on Workplace Learning. Springer International Publishing. https://doi.org/10.1007/978-3-030-89582-2_19 bibtex: '@inbook{Harteis_2022, place={Cham}, title={Research on Workplace Learning in Times of Digitalisation}, DOI={10.1007/978-3-030-89582-2_19}, booktitle={Research Approaches on Workplace Learning}, publisher={Springer International Publishing}, author={Harteis, Christian}, year={2022} }' chicago: 'Harteis, Christian. “Research on Workplace Learning in Times of Digitalisation.” In Research Approaches on Workplace Learning. Cham: Springer International Publishing, 2022. https://doi.org/10.1007/978-3-030-89582-2_19.' ieee: 'C. Harteis, “Research on Workplace Learning in Times of Digitalisation,” in Research Approaches on Workplace Learning, Cham: Springer International Publishing, 2022.' mla: Harteis, Christian. “Research on Workplace Learning in Times of Digitalisation.” Research Approaches on Workplace Learning, Springer International Publishing, 2022, doi:10.1007/978-3-030-89582-2_19. short: 'C. Harteis, in: Research Approaches on Workplace Learning, Springer International Publishing, Cham, 2022.' date_created: 2022-03-13T19:11:33Z date_updated: 2022-03-13T19:14:38Z department: - _id: '452' doi: 10.1007/978-3-030-89582-2_19 keyword: - Digitalisation Self organisation Distribution of labour Automation language: - iso: eng place: Cham publication: Research Approaches on Workplace Learning publication_identifier: isbn: - '9783030895815' - '9783030895822' issn: - 2210-5549 - 2210-5557 publication_status: published publisher: Springer International Publishing related_material: link: - relation: other url: https://link.springer.com/chapter/10.1007/978-3-030-89582-2_19#citeas status: public title: Research on Workplace Learning in Times of Digitalisation type: book_chapter user_id: '50788' year: '2022' ... --- _id: '30861' abstract: - lang: eng text: AbstractWe 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 Fuller 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 turnpike property. This property is further used in order to design simple and realistic suboptimal control strategies. author: - first_name: Jean-Baptiste full_name: Caillau, Jean-Baptiste last_name: Caillau - first_name: Walid full_name: Djema, Walid last_name: Djema - first_name: Jean-Luc full_name: Gouzé, Jean-Luc last_name: Gouzé - first_name: Sofya full_name: Maslovskaya, Sofya id: '87909' last_name: Maslovskaya - first_name: Jean-Baptiste full_name: Pomet, Jean-Baptiste last_name: Pomet citation: ama: Caillau J-B, Djema W, Gouzé J-L, Maslovskaya S, Pomet J-B. Turnpike Property in Optimal Microbial Metabolite Production. Journal of Optimization Theory and Applications. Published online 2022. doi:10.1007/s10957-022-02023-0 apa: Caillau, J.-B., Djema, W., Gouzé, J.-L., Maslovskaya, S., & Pomet, J.-B. (2022). Turnpike Property in Optimal Microbial Metabolite Production. Journal of Optimization Theory and Applications. https://doi.org/10.1007/s10957-022-02023-0 bibtex: '@article{Caillau_Djema_Gouzé_Maslovskaya_Pomet_2022, title={Turnpike Property in Optimal Microbial Metabolite Production}, DOI={10.1007/s10957-022-02023-0}, 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} }' chicago: Caillau, Jean-Baptiste, Walid Djema, Jean-Luc Gouzé, Sofya Maslovskaya, and Jean-Baptiste Pomet. “Turnpike Property in Optimal Microbial Metabolite Production.” Journal of Optimization Theory and Applications, 2022. https://doi.org/10.1007/s10957-022-02023-0. ieee: 'J.-B. Caillau, W. Djema, J.-L. Gouzé, S. Maslovskaya, and J.-B. Pomet, “Turnpike Property in Optimal Microbial Metabolite Production,” Journal of Optimization Theory and Applications, 2022, doi: 10.1007/s10957-022-02023-0.' mla: Caillau, Jean-Baptiste, et al. “Turnpike Property in Optimal Microbial Metabolite Production.” Journal of Optimization Theory and Applications, Springer Science and Business Media LLC, 2022, doi:10.1007/s10957-022-02023-0. short: J.-B. Caillau, W. Djema, J.-L. Gouzé, S. Maslovskaya, J.-B. Pomet, Journal of Optimization Theory and Applications (2022). date_created: 2022-04-08T17:23:13Z date_updated: 2022-04-08T18:23:02Z department: - _id: '636' doi: 10.1007/s10957-022-02023-0 keyword: - Applied Mathematics - Management Science and Operations Research - Control and Optimization language: - iso: eng publication: Journal of Optimization Theory and Applications publication_identifier: issn: - 0022-3239 - 1573-2878 publication_status: published publisher: Springer Science and Business Media LLC status: public title: Turnpike Property in Optimal Microbial Metabolite Production type: journal_article user_id: '87909' year: '2022' ... --- _id: '29842' 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. author: - first_name: Sebastian full_name: Gottschalk, Sebastian id: '47208' last_name: Gottschalk - first_name: Enes full_name: Yigitbas, Enes id: '8447' last_name: Yigitbas orcid: 0000-0002-5967-833X - first_name: Gregor full_name: Engels, Gregor id: '107' last_name: Engels citation: ama: 'Gottschalk S, Yigitbas E, Engels G. Model-driven Continuous Experimentation on Component-based Software Architectures . In: Proceedings of the 18th International Conference on Software Architecture Companion . IEEE; 2022. doi:10.1109/ICSA-C54293.2022.00011' apa: Gottschalk, S., Yigitbas, E., & Engels, G. (2022). Model-driven Continuous Experimentation on Component-based Software Architectures . Proceedings of the 18th International Conference on Software Architecture Companion . 18th International Conference on Software Architecture , Hawaii. https://doi.org/10.1109/ICSA-C54293.2022.00011 bibtex: '@inproceedings{Gottschalk_Yigitbas_Engels_2022, title={Model-driven Continuous Experimentation on Component-based Software Architectures }, DOI={10.1109/ICSA-C54293.2022.00011}, booktitle={Proceedings of the 18th International Conference on Software Architecture Companion }, publisher={IEEE}, author={Gottschalk, Sebastian and Yigitbas, Enes and Engels, Gregor}, year={2022} }' chicago: Gottschalk, Sebastian, Enes Yigitbas, and Gregor Engels. “Model-Driven Continuous Experimentation on Component-Based Software Architectures .” In Proceedings of the 18th International Conference on Software Architecture Companion . IEEE, 2022. https://doi.org/10.1109/ICSA-C54293.2022.00011. 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: 10.1109/ICSA-C54293.2022.00011.' mla: Gottschalk, Sebastian, et al. “Model-Driven Continuous Experimentation on Component-Based Software Architectures .” Proceedings of the 18th International Conference on Software Architecture Companion , IEEE, 2022, doi:10.1109/ICSA-C54293.2022.00011. short: 'S. Gottschalk, E. Yigitbas, G. Engels, in: Proceedings of the 18th International Conference on Software Architecture Companion , IEEE, 2022.' conference: end_date: 2022-03-15 location: Hawaii name: '18th International Conference on Software Architecture ' start_date: 2022-03-12 date_created: 2022-02-15T07:32:10Z date_updated: 2022-07-04T12:34:53Z ddc: - '000' department: - _id: '66' - _id: '534' doi: 10.1109/ICSA-C54293.2022.00011 file: - access_level: open_access content_type: application/pdf creator: sego date_created: 2022-07-04T12:33:18Z date_updated: 2022-07-04T12:34:52Z file_id: '32322' file_name: ICSA_CR.pdf file_size: 183185 relation: main_file file_date_updated: 2022-07-04T12:34:52Z has_accepted_license: '1' keyword: - continuous experimentation - model-driven - component-based software architectures - self-adaptation language: - iso: eng oa: '1' project: - _id: '1' name: 'SFB 901: SFB 901' - _id: '4' name: 'SFB 901 - C: SFB 901 - Project Area C' - _id: '17' name: 'SFB 901 - C5: SFB 901 - Subproject C5' publication: 'Proceedings of the 18th International Conference on Software Architecture Companion ' publisher: IEEE status: public title: 'Model-driven Continuous Experimentation on Component-based Software Architectures ' type: conference user_id: '47208' year: '2022' ... --- _id: '35136' 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" alternative_title: - Ergebnisse der Messung pädagogischer Kompetenzen Studierender in Deutschland author: - first_name: Carina full_name: Caruso, Carina id: '23123' last_name: Caruso - first_name: Andreas full_name: Seifert, Andreas last_name: Seifert citation: ama: Caruso C, Seifert A. Inwiefern ist die Professionalisierung in Praxisphasen schulformspezifisch? Österreichische Religionspädagogische Forum. 2022;30(1):239-260. doi:10.30:2022.1.14 apa: Caruso, C., & Seifert, A. (2022). Inwiefern ist die Professionalisierung in Praxisphasen schulformspezifisch? Österreichische Religionspädagogische Forum, 30(1), 239–260. https://doi.org/10.30:2022.1.14 bibtex: '@article{Caruso_Seifert_2022, title={ Inwiefern ist die Professionalisierung in Praxisphasen schulformspezifisch?}, volume={30}, DOI={10.30:2022.1.14}, number={1}, journal={Österreichische Religionspädagogische Forum}, publisher={Universitätsbibliothek Graz}, author={Caruso, Carina and Seifert, Andreas}, year={2022}, pages={239–260} }' chicago: 'Caruso, Carina, and Andreas Seifert. “ Inwiefern ist die Professionalisierung in Praxisphasen schulformspezifisch?” Österreichische Religionspädagogische Forum 30, no. 1 (2022): 239–60. https://doi.org/10.30:2022.1.14.' ieee: 'C. Caruso and A. Seifert, “ Inwiefern ist die Professionalisierung in Praxisphasen schulformspezifisch?,” Österreichische Religionspädagogische Forum, vol. 30, no. 1, pp. 239–260, 2022, doi: 10.30:2022.1.14.' mla: Caruso, Carina, and Andreas Seifert. “ Inwiefern ist die Professionalisierung in Praxisphasen schulformspezifisch?” Österreichische Religionspädagogische Forum, vol. 30, no. 1, Universitätsbibliothek Graz, 2022, pp. 239–60, doi:10.30:2022.1.14. short: C. Caruso, A. Seifert, Österreichische Religionspädagogische Forum 30 (2022) 239–260. date_created: 2023-01-03T12:41:20Z date_updated: 2023-01-06T12:08:14Z doi: 10.30:2022.1.14 intvolume: ' 30' issue: '1' keyword: - Bildungswissenschaftliches Wissen - Kompetenzmessung - Kompetenzselbsteinschätzung - Praxissemester - Professionalisierung / competence measurement - competence self-assessment - educational knowledge - internship - professionalization language: - iso: ger page: 239-260 publication: Österreichische Religionspädagogische Forum publication_identifier: issn: - 1018-1539 publication_status: published publisher: Universitätsbibliothek Graz status: public title: ' Inwiefern ist die Professionalisierung in Praxisphasen schulformspezifisch?' type: journal_article user_id: '86519' volume: 30 year: '2022' ... --- _id: '35137' abstract: - lang: ger 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: eng 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.' author: - first_name: Carina full_name: Caruso, Carina id: '23123' last_name: Caruso - first_name: Andreas full_name: Seifert, Andreas last_name: Seifert citation: ama: Caruso C, Seifert A. Pädagogische Kompetenz als Ausgangspunkt beruflichen Könnens!? Ergebnisse der Kompetenzmessung angehender Lehrkräfte unter Berücksichtigung individueller Voraussetzungen. Religionspädagogische Beiträge Journal for Religion in Education . 2022;45(1):3-15. doi:10.20377/rpb-101 apa: Caruso, C., & Seifert, A. (2022). Pädagogische Kompetenz als Ausgangspunkt beruflichen Könnens!? Ergebnisse der Kompetenzmessung angehender Lehrkräfte unter Berücksichtigung individueller Voraussetzungen. Religionspädagogische Beiträge. Journal for Religion in Education , 45(1), 3–15. https://doi.org/10.20377/rpb-101 bibtex: '@article{Caruso_Seifert_2022, title={Pädagogische Kompetenz als Ausgangspunkt beruflichen Könnens!? Ergebnisse der Kompetenzmessung angehender Lehrkräfte unter Berücksichtigung individueller Voraussetzungen}, volume={45}, DOI={10.20377/rpb-101}, 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} }' chicago: 'Caruso, Carina, and Andreas Seifert. “Pädagogische Kompetenz als Ausgangspunkt beruflichen Könnens!? Ergebnisse der Kompetenzmessung angehender Lehrkräfte unter Berücksichtigung individueller Voraussetzungen.” Religionspädagogische Beiträge. Journal for Religion in Education 45, no. 1 (2022): 3–15. https://doi.org/10.20377/rpb-101.' ieee: 'C. Caruso and A. Seifert, “Pädagogische Kompetenz als Ausgangspunkt beruflichen Könnens!? Ergebnisse der Kompetenzmessung angehender Lehrkräfte unter Berücksichtigung individueller Voraussetzungen,” Religionspädagogische Beiträge. Journal for Religion in Education , vol. 45, no. 1, pp. 3–15, 2022, doi: 10.20377/rpb-101.' mla: Caruso, Carina, and Andreas Seifert. “Pädagogische Kompetenz als Ausgangspunkt beruflichen Könnens!? Ergebnisse der Kompetenzmessung angehender Lehrkräfte unter Berücksichtigung individueller Voraussetzungen.” Religionspädagogische Beiträge. Journal for Religion in Education , vol. 45, no. 1, University of Bamberg Press, 2022, pp. 3–15, doi:10.20377/rpb-101. short: C. Caruso, A. Seifert, Religionspädagogische Beiträge. Journal for Religion in Education 45 (2022) 3–15. date_created: 2023-01-03T12:45:09Z date_updated: 2023-01-06T12:21:07Z doi: 10.20377/rpb-101 intvolume: ' 45' issue: '1' keyword: - Bildungswissenschaftliches Wissen - Kompetenzmessung - Kompetenzselbsteinschätzung - Praxissemester - Professionalisierung / competence measurement - competence self-assessment - educational knowledge - internship - professionalization language: - iso: ger page: 3-15 publication: 'Religionspädagogische Beiträge. Journal for Religion in Education ' publication_identifier: issn: - 2750 - 3941 publication_status: published publisher: University of Bamberg Press status: public title: Pädagogische Kompetenz als Ausgangspunkt beruflichen Könnens!? Ergebnisse der Kompetenzmessung angehender Lehrkräfte unter Berücksichtigung individueller Voraussetzungen type: journal_article user_id: '86519' volume: 45 year: '2022' ... --- _id: '48882' 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. author: - first_name: Jonathan full_name: Heins, Jonathan last_name: Heins - first_name: Jeroen full_name: Rook, Jeroen last_name: Rook - first_name: Lennart full_name: Schäpermeier, Lennart last_name: Schäpermeier - first_name: Pascal full_name: Kerschke, Pascal last_name: Kerschke - first_name: Jakob full_name: Bossek, Jakob id: '102979' last_name: Bossek orcid: 0000-0002-4121-4668 - first_name: Heike full_name: Trautmann, Heike last_name: Trautmann citation: 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. Parallel Problem Solving from Nature (PPSN XVII). Lecture Notes in Computer Science. Springer International Publishing; 2022:192–206. doi:10.1007/978-3-031-14714-2_14' apa: 'Heins, J., Rook, J., Schäpermeier, L., Kerschke, P., Bossek, J., & 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, & T. Tusar (Eds.), Parallel Problem Solving from Nature (PPSN XVII) (pp. 192–206). Springer International Publishing. https://doi.org/10.1007/978-3-031-14714-2_14' 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={10.1007/978-3-031-14714-2_14}, 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 Parallel Problem Solving from Nature (PPSN XVII), 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. https://doi.org/10.1007/978-3-031-14714-2_14.' 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 Parallel Problem Solving from Nature (PPSN XVII), 2022, pp. 192–206, doi: 10.1007/978-3-031-14714-2_14.' mla: 'Heins, Jonathan, et al. “BBE: Basin-Based Evaluation of Multimodal Multi-Objective Optimization Problems.” Parallel Problem Solving from Nature (PPSN XVII), edited by Günter Rudolph et al., Springer International Publishing, 2022, pp. 192–206, doi:10.1007/978-3-031-14714-2_14.' 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.' date_created: 2023-11-14T15:58:58Z date_updated: 2023-12-13T10:47:50Z department: - _id: '819' doi: 10.1007/978-3-031-14714-2_14 editor: - first_name: Günter full_name: Rudolph, Günter last_name: Rudolph - first_name: Anna V. full_name: Kononova, Anna V. last_name: Kononova - first_name: Hernán full_name: Aguirre, Hernán last_name: Aguirre - first_name: Pascal full_name: Kerschke, Pascal last_name: Kerschke - first_name: Gabriela full_name: Ochoa, Gabriela last_name: Ochoa - first_name: Tea full_name: Tusar, Tea last_name: Tusar extern: '1' keyword: - Anytime behavior - Benchmarking - Continuous optimization - Multi-objective optimization - Multimodality - Performance metric language: - iso: eng page: 192–206 place: Cham publication: Parallel Problem Solving from Nature (PPSN XVII) publication_identifier: isbn: - 978-3-031-14714-2 publisher: Springer International Publishing series_title: Lecture Notes in Computer Science status: public title: 'BBE: Basin-Based Evaluation of Multimodal Multi-objective Optimization Problems' type: conference user_id: '102979' year: '2022' ... --- _id: '48896' 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. author: - first_name: Jeroen full_name: Rook, Jeroen last_name: Rook - first_name: Heike full_name: Trautmann, Heike last_name: Trautmann - first_name: Jakob full_name: Bossek, Jakob id: '102979' last_name: Bossek orcid: 0000-0002-4121-4668 - first_name: Christian full_name: Grimme, Christian last_name: Grimme citation: ama: 'Rook J, Trautmann H, Bossek J, Grimme C. On the Potential of Automated Algorithm Configuration on Multi-Modal Multi-Objective Optimization Problems. In: Proceedings of the Genetic and Evolutionary Computation Conference Companion. GECCO’22. Association for Computing Machinery; 2022:356–359. doi:10.1145/3520304.3528998' apa: Rook, J., Trautmann, H., Bossek, J., & Grimme, C. (2022). On the Potential of Automated Algorithm Configuration on Multi-Modal Multi-Objective Optimization Problems. Proceedings of the Genetic and Evolutionary Computation Conference Companion, 356–359. https://doi.org/10.1145/3520304.3528998 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={10.1145/3520304.3528998}, 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} }' 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 Proceedings of the Genetic and Evolutionary Computation Conference Companion, 356–359. GECCO’22. New York, NY, USA: Association for Computing Machinery, 2022. https://doi.org/10.1145/3520304.3528998.' 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 Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2022, pp. 356–359, doi: 10.1145/3520304.3528998.' mla: Rook, Jeroen, et al. “On the Potential of Automated Algorithm Configuration on Multi-Modal Multi-Objective Optimization Problems.” Proceedings of the Genetic and Evolutionary Computation Conference Companion, Association for Computing Machinery, 2022, pp. 356–359, doi:10.1145/3520304.3528998. 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.' date_created: 2023-11-14T15:59:00Z date_updated: 2023-12-13T10:50:24Z department: - _id: '819' doi: 10.1145/3520304.3528998 extern: '1' keyword: - configuration - multi-modality - multi-objective optimization language: - iso: eng page: 356–359 place: New York, NY, USA publication: Proceedings of the Genetic and Evolutionary Computation Conference Companion publication_identifier: isbn: - 978-1-4503-9268-6 publisher: Association for Computing Machinery series_title: GECCO’22 status: public title: On the Potential of Automated Algorithm Configuration on Multi-Modal Multi-Objective Optimization Problems type: conference user_id: '102979' year: '2022' ... --- _id: '35206' author: - first_name: Bernard full_name: Bonnard, Bernard last_name: Bonnard - first_name: Jérémy full_name: Rouot, Jérémy last_name: Rouot - first_name: Boris Edgar full_name: Wembe Moafo, Boris Edgar id: '95394' last_name: Wembe Moafo citation: ama: Bonnard B, Rouot J, Wembe Moafo BE. Accessibility properties of abnormal geodesics in optimal control illustrated by two case studies. Mathematical Control and Related Fields. 2022;0(0):0-0. doi:10.3934/mcrf.2022052 apa: Bonnard, B., Rouot, J., & Wembe Moafo, B. E. (2022). Accessibility properties of abnormal geodesics in optimal control illustrated by two case studies. Mathematical Control and Related Fields, 0(0), 0–0. https://doi.org/10.3934/mcrf.2022052 bibtex: '@article{Bonnard_Rouot_Wembe Moafo_2022, title={Accessibility properties of abnormal geodesics in optimal control illustrated by two case studies}, volume={0}, DOI={10.3934/mcrf.2022052}, 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} }' chicago: 'Bonnard, Bernard, Jérémy Rouot, and Boris Edgar Wembe Moafo. “Accessibility Properties of Abnormal Geodesics in Optimal Control Illustrated by Two Case Studies.” Mathematical Control and Related Fields 0, no. 0 (2022): 0–0. https://doi.org/10.3934/mcrf.2022052.' ieee: 'B. Bonnard, J. Rouot, and B. E. Wembe Moafo, “Accessibility properties of abnormal geodesics in optimal control illustrated by two case studies,” Mathematical Control and Related Fields, vol. 0, no. 0, pp. 0–0, 2022, doi: 10.3934/mcrf.2022052.' mla: Bonnard, Bernard, et al. “Accessibility Properties of Abnormal Geodesics in Optimal Control Illustrated by Two Case Studies.” Mathematical Control and Related Fields, vol. 0, no. 0, American Institute of Mathematical Sciences (AIMS), 2022, pp. 0–0, doi:10.3934/mcrf.2022052. short: B. Bonnard, J. Rouot, B.E. Wembe Moafo, Mathematical Control and Related Fields 0 (2022) 0–0. date_created: 2023-01-04T10:26:56Z date_updated: 2023-01-16T12:07:51Z doi: 10.3934/mcrf.2022052 issue: '0' keyword: - Applied Mathematics - Control and Optimization - General Medicine language: - iso: eng page: 0-0 publication: Mathematical Control and Related Fields publication_identifier: issn: - 2156-8472 - 2156-8499 publication_status: published publisher: American Institute of Mathematical Sciences (AIMS) status: public title: Accessibility properties of abnormal geodesics in optimal control illustrated by two case studies type: journal_article user_id: '95394' volume: '0' year: '2022' ... --- _id: '40046' abstract: - lang: eng 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. author: - first_name: Franz full_name: Schröer, Franz id: '71764' last_name: Schröer - first_name: Claudia full_name: Tenberge, Claudia id: '67302' last_name: Tenberge 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. PATT39 - PATT on the Edge Technology, Innovation and Education. PATT Proceedings. ; 2022:49-57.' apa: Schröer, F., & 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, & S. Jamil (Eds.), PATT39 - PATT on the Edge Technology, Innovation and Education (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} }' 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 PATT39 - PATT on the Edge Technology, Innovation and Education, 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. 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 PATT39 - PATT on the Edge Technology, Innovation and Education, St. John’s, Newfoundland and Labrador, Canada, 2022, pp. 49–57. 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.” PATT39 - PATT on the Edge Technology, Innovation and Education, 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.' conference: end_date: 2022-06-24 location: St. John’s, Newfoundland and Labrador, Canada name: PATT39 - PATT on the Edge Technology, Innovation and Education start_date: 2022-06-21 date_created: 2023-01-25T15:13:45Z date_updated: 2023-01-25T15:13:57Z department: - _id: '588' editor: - first_name: David full_name: Gill, David last_name: Gill - first_name: Jim full_name: Tuff, Jim last_name: Tuff - first_name: Thomas full_name: Kennedy, Thomas last_name: Kennedy - first_name: Shawn full_name: Pendergast, Shawn last_name: Pendergast - first_name: Sana full_name: Jamil, Sana last_name: Jamil keyword: - Inclusion - basic needs - pre-service teacher training - interest - self-efficacy language: - iso: eng main_file_link: - url: https://research.edgehill.ac.uk/ws/portalfiles/portal/50821651/patt39_proceedings_june_17_2022.pdf page: 49-57 place: St. John’s, Newfoundland and Labrador, Canada publication: PATT39 - PATT on the Edge Technology, Innovation and Education publication_identifier: unknown: - https://research.edgehill.ac.uk/ws/portalfiles/portal/50821651/patt39_proceedings_june_17_2022.pdf publication_status: published quality_controlled: '1' series_title: PATT Proceedings status: public 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 type: conference user_id: '71764' year: '2022' ... --- _id: '36083' author: - first_name: Ioanna full_name: Constantiou, Ioanna last_name: Constantiou - first_name: Alivelu full_name: Mukkamala, Alivelu last_name: Mukkamala - first_name: Mimmi full_name: Sjöklint, Mimmi last_name: Sjöklint - first_name: Matthias full_name: Trier, Matthias id: '72744' last_name: Trier citation: ama: 'Constantiou I, Mukkamala A, Sjöklint M, Trier M. Engaging with self-tracking applications: how do users respond to their performance data? European Journal of Information Systems. Published online 2022:1-21. doi:10.1080/0960085x.2022.2081096' apa: 'Constantiou, I., Mukkamala, A., Sjöklint, M., & Trier, M. (2022). Engaging with self-tracking applications: how do users respond to their performance data? European Journal of Information Systems, 1–21. https://doi.org/10.1080/0960085x.2022.2081096' bibtex: '@article{Constantiou_Mukkamala_Sjöklint_Trier_2022, title={Engaging with self-tracking applications: how do users respond to their performance data?}, DOI={10.1080/0960085x.2022.2081096}, 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} }' chicago: 'Constantiou, Ioanna, Alivelu Mukkamala, Mimmi Sjöklint, and Matthias Trier. “Engaging with Self-Tracking Applications: How Do Users Respond to Their Performance Data?” European Journal of Information Systems, 2022, 1–21. https://doi.org/10.1080/0960085x.2022.2081096.' ieee: 'I. Constantiou, A. Mukkamala, M. Sjöklint, and M. Trier, “Engaging with self-tracking applications: how do users respond to their performance data?,” European Journal of Information Systems, pp. 1–21, 2022, doi: 10.1080/0960085x.2022.2081096.' mla: 'Constantiou, Ioanna, et al. “Engaging with Self-Tracking Applications: How Do Users Respond to Their Performance Data?” European Journal of Information Systems, Informa UK Limited, 2022, pp. 1–21, doi:10.1080/0960085x.2022.2081096.' short: I. Constantiou, A. Mukkamala, M. Sjöklint, M. Trier, European Journal of Information Systems (2022) 1–21. date_created: 2023-01-11T12:13:54Z date_updated: 2023-01-29T23:05:59Z department: - _id: '195' doi: 10.1080/0960085x.2022.2081096 keyword: - Library and Information Sciences - Information Systems - Self-Tracking - User Behaviour - Discontinuance language: - iso: eng page: 1-21 publication: European Journal of Information Systems publication_identifier: issn: - 0960-085X - 1476-9344 publication_status: published publisher: Informa UK Limited status: public title: 'Engaging with self-tracking applications: how do users respond to their performance data?' type: journal_article user_id: '14931' year: '2022' ... --- _id: '47961' abstract: - lang: eng text: 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. article_number: '5215' author: - first_name: Godiana Hagile full_name: Philipo, Godiana Hagile id: '88505' last_name: Philipo - first_name: Josephine Nakato full_name: Kakande, Josephine Nakato id: '88649' last_name: Kakande - first_name: Stefan full_name: Krauter, Stefan id: '28836' last_name: Krauter orcid: 0000-0002-3594-260X citation: 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. Energies. 2022;15(14). doi:10.3390/en15145215 apa: Philipo, G. H., Kakande, J. N., & Krauter, S. (2022). Neural Network-Based Demand-Side Management in a Stand-Alone Solar PV-Battery Microgrid Using Load-Shifting and Peak-Clipping. Energies, 15(14), Article 5215. https://doi.org/10.3390/en15145215 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={10.3390/en15145215}, number={145215}, journal={Energies}, publisher={MDPI AG}, author={Philipo, Godiana Hagile and Kakande, Josephine Nakato and Krauter, Stefan}, year={2022} }' 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.” Energies 15, no. 14 (2022). https://doi.org/10.3390/en15145215. 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,” Energies, vol. 15, no. 14, Art. no. 5215, 2022, doi: 10.3390/en15145215.' 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.” Energies, vol. 15, no. 14, 5215, MDPI AG, 2022, doi:10.3390/en15145215. short: G.H. Philipo, J.N. Kakande, S. Krauter, Energies 15 (2022). date_created: 2023-10-11T08:13:13Z date_updated: 2024-10-17T08:46:23Z department: - _id: '53' doi: 10.3390/en15145215 intvolume: ' 15' issue: '14' 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 language: - iso: eng publication: Energies publication_identifier: issn: - 1996-1073 publication_status: published publisher: MDPI AG status: public title: Neural Network-Based Demand-Side Management in a Stand-Alone Solar PV-Battery Microgrid Using Load-Shifting and Peak-Clipping type: journal_article user_id: '16148' volume: 15 year: '2022' ... --- _id: '31066' abstract: - lang: eng 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. ' author: - first_name: Oliver full_name: Schön, Oliver last_name: Schön - first_name: Ricarda-Samantha full_name: Götte, Ricarda-Samantha id: '43992' last_name: Götte - first_name: Julia full_name: Timmermann, Julia id: '15402' last_name: Timmermann citation: ama: 'Schön O, Götte R-S, Timmermann J. Multi-Objective Physics-Guided Recurrent Neural Networks for Identifying Non-Autonomous Dynamical Systems. In: 14th IFAC Workshop on Adaptive and Learning Control Systems (ALCOS 2022). Vol 55. ; 2022:19-24. doi:https://doi.org/10.1016/j.ifacol.2022.07.282' apa: Schön, O., Götte, R.-S., & Timmermann, J. (2022). Multi-Objective Physics-Guided Recurrent Neural Networks for Identifying Non-Autonomous Dynamical Systems. 14th IFAC Workshop on Adaptive and Learning Control Systems (ALCOS 2022), 55(12), 19–24. https://doi.org/10.1016/j.ifacol.2022.07.282 bibtex: '@inproceedings{Schön_Götte_Timmermann_2022, title={Multi-Objective Physics-Guided Recurrent Neural Networks for Identifying Non-Autonomous Dynamical Systems}, volume={55}, DOI={https://doi.org/10.1016/j.ifacol.2022.07.282}, 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} }' chicago: Schön, Oliver, Ricarda-Samantha Götte, and Julia Timmermann. “Multi-Objective Physics-Guided Recurrent Neural Networks for Identifying Non-Autonomous Dynamical Systems.” In 14th IFAC Workshop on Adaptive and Learning Control Systems (ALCOS 2022), 55:19–24, 2022. https://doi.org/10.1016/j.ifacol.2022.07.282. ieee: 'O. Schön, R.-S. Götte, and J. Timmermann, “Multi-Objective Physics-Guided Recurrent Neural Networks for Identifying Non-Autonomous Dynamical Systems,” in 14th IFAC Workshop on Adaptive and Learning Control Systems (ALCOS 2022), Casablanca, Morocco, 2022, vol. 55, no. 12, pp. 19–24, doi: https://doi.org/10.1016/j.ifacol.2022.07.282.' mla: Schön, Oliver, et al. “Multi-Objective Physics-Guided Recurrent Neural Networks for Identifying Non-Autonomous Dynamical Systems.” 14th IFAC Workshop on Adaptive and Learning Control Systems (ALCOS 2022), vol. 55, no. 12, 2022, pp. 19–24, doi:https://doi.org/10.1016/j.ifacol.2022.07.282. short: 'O. Schön, R.-S. Götte, J. Timmermann, in: 14th IFAC Workshop on Adaptive and Learning Control Systems (ALCOS 2022), 2022, pp. 19–24.' conference: end_date: 2022-07-01 location: Casablanca, Morocco name: 14th IFAC Workshop on Adaptive and Learning Control Systems (ALCOS 2022) start_date: 2022-06-29 date_created: 2022-05-05T06:22:55Z date_updated: 2024-11-13T08:43:16Z department: - _id: '153' - _id: '880' doi: https://doi.org/10.1016/j.ifacol.2022.07.282 intvolume: ' 55' issue: '12' keyword: - neural networks - physics-guided - data-driven - multi-objective optimization - system identification - machine learning - dynamical systems language: - iso: eng page: 19-24 publication: 14th IFAC Workshop on Adaptive and Learning Control Systems (ALCOS 2022) quality_controlled: '1' status: public title: Multi-Objective Physics-Guided Recurrent Neural Networks for Identifying Non-Autonomous Dynamical Systems type: conference user_id: '43992' volume: 55 year: '2022' ... --- _id: '29803' 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." author: - first_name: Michael full_name: Hesse, Michael id: '29222' last_name: Hesse - first_name: Matthias full_name: Hunstig, Matthias last_name: Hunstig - first_name: Julia full_name: Timmermann, Julia id: '15402' last_name: Timmermann - first_name: Ansgar full_name: Trächtler, Ansgar id: '552' last_name: Trächtler citation: ama: 'Hesse M, Hunstig M, Timmermann J, Trächtler A. Batch Constrained Bayesian Optimization for UltrasonicWire Bonding Feed-forward Control Design. In: Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods (ICPRAM). ; 2022:383-394.' apa: Hesse, M., Hunstig, M., Timmermann, J., & Trächtler, A. (2022). Batch Constrained Bayesian Optimization for UltrasonicWire Bonding Feed-forward Control Design. Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods (ICPRAM), 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} }' chicago: Hesse, Michael, Matthias Hunstig, Julia Timmermann, and Ansgar Trächtler. “Batch Constrained Bayesian Optimization for UltrasonicWire Bonding Feed-Forward Control Design.” In Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods (ICPRAM), 383–94, 2022. ieee: M. Hesse, M. Hunstig, J. Timmermann, and A. Trächtler, “Batch Constrained Bayesian Optimization for UltrasonicWire Bonding Feed-forward Control Design,” in Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods (ICPRAM), Online, 2022, pp. 383–394. mla: Hesse, Michael, et al. “Batch Constrained Bayesian Optimization for UltrasonicWire Bonding Feed-Forward Control Design.” Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods (ICPRAM), 2022, pp. 383–94. 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.' conference: end_date: 2022-02-05 location: Online name: 11th International Conference on Pattern Recognition Applications and Methods start_date: 2022-02-03 date_created: 2022-02-09T12:50:25Z date_updated: 2024-11-13T08:44:17Z department: - _id: '153' - _id: '880' keyword: - Bayesian optimization - Wire bonding - Feed-forward control - model-free design language: - iso: eng page: 383-394 publication: Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods (ICPRAM) publication_identifier: isbn: - 978-989-758-549-4 quality_controlled: '1' status: public title: Batch Constrained Bayesian Optimization for UltrasonicWire Bonding Feed-forward Control Design type: conference user_id: '82875' year: '2022' ... --- _id: '34614' abstract: - lang: ger 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." article_type: original author: - first_name: Franziska Margarete full_name: Schloots, Franziska Margarete id: '33185' last_name: Schloots orcid: 0009-0008-9673-2615 citation: ama: Schloots FM. ‚Understand what’s happening within‘. Selbstkontrolle mit Personenwaage, Wearable und habit tracker. ffk Journal. 2022;6(7):74-91. doi:10.25969/MEDIAREP/18238 apa: Schloots, F. M. (2022). ‚Understand what’s happening within‘. Selbstkontrolle mit Personenwaage, Wearable und habit tracker. ffk Journal, 6(7), 74–91. https://doi.org/10.25969/MEDIAREP/18238 bibtex: '@article{Schloots_2022, title={‚Understand what’s happening within‘. Selbstkontrolle mit Personenwaage, Wearable und habit tracker}, volume={6}, DOI={10.25969/MEDIAREP/18238}, number={7}, journal={ffk Journal}, author={Schloots, Franziska Margarete}, year={2022}, pages={74–91} }' chicago: 'Schloots, Franziska Margarete. “‚Understand what’s happening within‘. Selbstkontrolle mit Personenwaage, Wearable und habit tracker.” ffk Journal 6, no. 7 (2022): 74–91. https://doi.org/10.25969/MEDIAREP/18238.' ieee: 'F. M. Schloots, “‚Understand what’s happening within‘. Selbstkontrolle mit Personenwaage, Wearable und habit tracker,” ffk Journal, vol. 6, no. 7, pp. 74–91, 2022, doi: 10.25969/MEDIAREP/18238.' mla: Schloots, Franziska Margarete. “‚Understand what’s happening within‘. Selbstkontrolle mit Personenwaage, Wearable und habit tracker.” ffk Journal, vol. 6, no. 7, 2022, pp. 74–91, doi:10.25969/MEDIAREP/18238. short: F.M. Schloots, ffk Journal 6 (2022) 74–91. date_created: 2022-12-20T14:20:56Z date_updated: 2024-11-22T10:09:55Z ddc: - '040' department: - _id: '574' doi: 10.25969/MEDIAREP/18238 file: - access_level: closed content_type: application/pdf 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 file_size: 530069 relation: main_file success: 1 file_date_updated: 2022-12-20T14:23:57Z has_accepted_license: '1' intvolume: ' 6' issue: '7' keyword: - self-tracking - Selbsttechnologien - Wearable - Bullet Journal - Personenwaage - Selbstvermessung language: - iso: ger page: 74-91 publication: ffk Journal publication_status: published status: public title: ‚Understand what’s happening within‘. Selbstkontrolle mit Personenwaage, Wearable und habit tracker type: journal_article user_id: '33185' volume: 6 year: '2022' ... --- _id: '21004' abstract: - lang: eng 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.' author: - first_name: Marcel Dominik full_name: Wever, Marcel Dominik id: '33176' last_name: Wever orcid: ' https://orcid.org/0000-0001-9782-6818' - first_name: Alexander full_name: Tornede, Alexander id: '38209' last_name: Tornede - first_name: Felix full_name: Mohr, Felix last_name: Mohr - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier citation: ama: 'Wever MD, Tornede A, Mohr F, Hüllermeier E. AutoML for Multi-Label Classification: Overview and Empirical Evaluation. IEEE Transactions on Pattern Analysis and Machine Intelligence. Published online 2021:1-1. doi:10.1109/tpami.2021.3051276' apa: 'Wever, M. D., Tornede, A., Mohr, F., & Hüllermeier, E. (2021). AutoML for Multi-Label Classification: Overview and Empirical Evaluation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1–1. https://doi.org/10.1109/tpami.2021.3051276' bibtex: '@article{Wever_Tornede_Mohr_Hüllermeier_2021, title={AutoML for Multi-Label Classification: Overview and Empirical Evaluation}, DOI={10.1109/tpami.2021.3051276}, 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} }' chicago: 'Wever, Marcel Dominik, Alexander Tornede, Felix Mohr, and Eyke Hüllermeier. “AutoML for Multi-Label Classification: Overview and Empirical Evaluation.” IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021, 1–1. https://doi.org/10.1109/tpami.2021.3051276.' ieee: 'M. D. Wever, A. Tornede, F. Mohr, and E. Hüllermeier, “AutoML for Multi-Label Classification: Overview and Empirical Evaluation,” IEEE Transactions on Pattern Analysis and Machine Intelligence, pp. 1–1, 2021, doi: 10.1109/tpami.2021.3051276.' mla: 'Wever, Marcel Dominik, et al. “AutoML for Multi-Label Classification: Overview and Empirical Evaluation.” IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021, pp. 1–1, doi:10.1109/tpami.2021.3051276.' short: M.D. Wever, A. Tornede, F. Mohr, E. Hüllermeier, IEEE Transactions on Pattern Analysis and Machine Intelligence (2021) 1–1. date_created: 2021-01-16T14:48:13Z date_updated: 2022-01-06T06:54:42Z department: - _id: '34' - _id: '355' - _id: '26' doi: 10.1109/tpami.2021.3051276 keyword: - Automated Machine Learning - Multi Label Classification - Hierarchical Planning - Bayesian Optimization language: - iso: eng page: 1-1 project: - _id: '1' name: SFB 901 - _id: '3' name: SFB 901 - Project Area B - _id: '10' name: SFB 901 - Subproject B2 - _id: '52' name: Computing Resources Provided by the Paderborn Center for Parallel Computing publication: IEEE Transactions on Pattern Analysis and Machine Intelligence publication_identifier: issn: - 0162-8828 - 2160-9292 - 1939-3539 publication_status: published status: public title: 'AutoML for Multi-Label Classification: Overview and Empirical Evaluation' type: journal_article user_id: '5786' year: '2021' ... --- _id: '21808' abstract: - lang: eng 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." article_type: original author: - first_name: Stefan Balthasar full_name: Schneider, Stefan Balthasar id: '35343' last_name: Schneider orcid: 0000-0001-8210-4011 - first_name: Ramin full_name: Khalili, Ramin last_name: Khalili - first_name: Adnan full_name: Manzoor, Adnan last_name: Manzoor - first_name: Haydar full_name: Qarawlus, Haydar last_name: Qarawlus - first_name: Rafael full_name: Schellenberg, Rafael last_name: Schellenberg - first_name: Holger full_name: Karl, Holger id: '126' last_name: Karl - first_name: Artur full_name: Hecker, Artur last_name: Hecker citation: ama: Schneider SB, Khalili R, Manzoor A, et al. Self-Learning Multi-Objective Service Coordination Using Deep Reinforcement Learning. Transactions on Network and Service Management. 2021. doi:10.1109/TNSM.2021.3076503 apa: Schneider, S. B., Khalili, R., Manzoor, A., Qarawlus, H., Schellenberg, R., Karl, H., & Hecker, A. (2021). Self-Learning Multi-Objective Service Coordination Using Deep Reinforcement Learning. Transactions on Network and Service Management. https://doi.org/10.1109/TNSM.2021.3076503 bibtex: '@article{Schneider_Khalili_Manzoor_Qarawlus_Schellenberg_Karl_Hecker_2021, title={Self-Learning Multi-Objective Service Coordination Using Deep Reinforcement Learning}, DOI={10.1109/TNSM.2021.3076503}, 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} }' 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.” Transactions on Network and Service Management, 2021. https://doi.org/10.1109/TNSM.2021.3076503. ieee: S. B. Schneider et al., “Self-Learning Multi-Objective Service Coordination Using Deep Reinforcement Learning,” Transactions on Network and Service Management, 2021. mla: Schneider, Stefan Balthasar, et al. “Self-Learning Multi-Objective Service Coordination Using Deep Reinforcement Learning.” Transactions on Network and Service Management, IEEE, 2021, doi:10.1109/TNSM.2021.3076503. short: S.B. Schneider, R. Khalili, A. Manzoor, H. Qarawlus, R. Schellenberg, H. Karl, A. Hecker, Transactions on Network and Service Management (2021). date_created: 2021-04-27T08:04:16Z date_updated: 2022-01-06T06:55:15Z ddc: - '000' department: - _id: '75' doi: 10.1109/TNSM.2021.3076503 file: - access_level: open_access content_type: application/pdf creator: stschn date_created: 2021-04-27T08:01:26Z date_updated: 2021-04-27T08:01:26Z description: Author version of the accepted paper file_id: '21809' file_name: ris-accepted-version.pdf file_size: 4172270 relation: main_file file_date_updated: 2021-04-27T08:01:26Z has_accepted_license: '1' keyword: - network management - service management - coordination - reinforcement learning - self-learning - self-adaptation - multi-objective language: - iso: eng oa: '1' project: - _id: '1' name: SFB 901 - _id: '4' name: SFB 901 - Project Area C - _id: '16' name: SFB 901 - Subproject C4 publication: Transactions on Network and Service Management publisher: IEEE status: public title: Self-Learning Multi-Objective Service Coordination Using Deep Reinforcement Learning type: journal_article user_id: '35343' year: '2021' ... --- _id: '33854' 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." author: - first_name: Stefan Balthasar full_name: Schneider, Stefan Balthasar id: '35343' last_name: Schneider orcid: 0000-0001-8210-4011 - first_name: Holger full_name: Karl, Holger id: '126' last_name: Karl - first_name: Ramin full_name: Khalili, Ramin last_name: Khalili - first_name: Artur full_name: Hecker, Artur last_name: Hecker citation: ama: 'Schneider SB, Karl H, Khalili R, Hecker A. DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning.; 2021.' apa: 'Schneider, S. B., Karl, H., Khalili, R., & Hecker, A. (2021). DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning.' 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} }' chicago: 'Schneider, Stefan Balthasar, Holger Karl, Ramin Khalili, and Artur Hecker. DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning, 2021.' ieee: 'S. B. Schneider, H. Karl, R. Khalili, and A. Hecker, DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning. 2021.' mla: 'Schneider, Stefan Balthasar, et al. DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning. 2021.' short: 'S.B. Schneider, H. Karl, R. Khalili, A. Hecker, DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning, 2021.' date_created: 2022-10-20T16:44:19Z date_updated: 2022-11-18T09:59:27Z ddc: - '004' department: - _id: '75' file: - access_level: open_access content_type: application/pdf creator: stschn date_created: 2022-10-20T16:41:10Z date_updated: 2022-10-20T16:41:10Z file_id: '33855' file_name: preprint.pdf file_size: 2521656 relation: main_file file_date_updated: 2022-10-20T16:41:10Z has_accepted_license: '1' keyword: - mobility management - coordinated multipoint - CoMP - cell selection - resource management - reinforcement learning - multi agent - MARL - self-learning - self-adaptation - QoE language: - iso: eng oa: '1' project: - _id: '4' name: 'SFB 901 - C: SFB 901 - Project Area C' - _id: '16' name: 'SFB 901 - C4: SFB 901 - Subproject C4' - _id: '1' name: 'SFB 901: SFB 901' status: public title: 'DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning' type: working_paper user_id: '477' year: '2021' ...