[{"date_updated":"2022-01-06T06:55:32Z","publication_identifier":{"isbn":["978-3-446-45459-0"]},"author":[{"id":"13835","first_name":"Stefan","last_name":"Lammers","full_name":"Lammers, Stefan"},{"last_name":"Quattrone","first_name":"Francesco","full_name":"Quattrone, Francesco"},{"full_name":"Mrozek, Rafael","last_name":"Mrozek","first_name":"Rafael"},{"id":"604","full_name":"Zimmer, Detmar","last_name":"Zimmer","first_name":"Detmar"},{"full_name":"Schmid, Hans-Joachim","last_name":"Schmid","first_name":"Hans-Joachim"},{"full_name":"Ponick, Bernd","last_name":"Ponick","first_name":"Bernd"},{"full_name":"Hoffmann, Michael","last_name":"Hoffmann","first_name":"Michael"}],"title":"Entwicklung und additive Herstellung einer Leichtbau-Rotorwelle für eine permanentmagneterregte Synchronmaschine","status":"public","year":"2017","doi":"10.3139/9783446454606.006","user_id":"38077","_id":"22420","language":[{"iso":"eng"}],"publisher":"Hanser Verlag","page":"80-93","abstract":[{"text":"Additive Fertigungsverfahren (engl.: Additive Manufacturing, kurz: AM) ermöglichen die werkzeuglose Herstellung von Komponenten und kompletten Baugruppen direkt aus dem 3D-CAD-Modell. Insbesondere additiv hergestellte Leichtbaukonstruktionen weisen ein hohes Potential für den Elektromaschinenbau auf. In diesem Paper werden erste Ansätze zur additiven Fertigung einer Rotorwelle für eine permanentmagneterregte Synchronmaschine (PMSM) aufgezeigt. Die Verbesserung einer ausgeprägten Leichtbaukonstruktion der Rotorwelle sowie die Charakterisierung des additiv verarbeiteten Werkstoffs werden aufgeführt. Hierzu wurden Prüfkörper aus dem Werkstoffs H13 (1.2344) hergestellt. Des Weiteren wurden Prüfkörper additiv gefertigter Gitterstrukturen entwickelt und untersucht. Zur Werkstoffcharakterisierung wurden sowohl mechanische Eigenschaften ermittelt, wie die Streckgrenze, die Zugfestigkeit und die Härte als auch elektromagnetische Eigenschaften, wie die Koerzitivfeldstärke, die elektrische Leitfähigkeit und die Permeabilität. Die Ergebnisse zeigen, dass die magnetischen Eigenschaften von H13 durch eine angeschlossene Wärmebehandlung deutlich verbessert werden konnten. Im Anschluss an die Werkstoffcharakterisierung wurde ein innovatives Leichtbau-Rotorwellenkonzept mit internen Gitterstrukturen entwickelt. Verglichen mit einem konventionell gefertigten Rotor konnte die Rotormasse um 25% reduziert werden sowie das Massenträgheitsmoment um 23% reduziert werden bei einer Testdrehzahl von 3000 U/min und einem Drehmoment von 71,98 Nm.","lang":"eng"}],"citation":{"bibtex":"@inproceedings{Lammers_Quattrone_Mrozek_Zimmer_Schmid_Ponick_Hoffmann_2017, title={Entwicklung und additive Herstellung einer Leichtbau-Rotorwelle für eine permanentmagneterregte Synchronmaschine}, DOI={<a href=\"https://doi.org/10.3139/9783446454606.006\">10.3139/9783446454606.006</a>}, booktitle={Proceedings of the 14th Rapid.Tech Conference}, publisher={Hanser Verlag}, author={Lammers, Stefan and Quattrone, Francesco and Mrozek, Rafael and Zimmer, Detmar and Schmid, Hans-Joachim and Ponick, Bernd and Hoffmann, Michael}, year={2017}, pages={80–93} }","ama":"Lammers S, Quattrone F, Mrozek R, et al. Entwicklung und additive Herstellung einer Leichtbau-Rotorwelle für eine permanentmagneterregte Synchronmaschine. In: <i>Proceedings of the 14th Rapid.Tech Conference</i>. Hanser Verlag; 2017:80-93. doi:<a href=\"https://doi.org/10.3139/9783446454606.006\">10.3139/9783446454606.006</a>","mla":"Lammers, Stefan, et al. “Entwicklung Und Additive Herstellung Einer Leichtbau-Rotorwelle Für Eine Permanentmagneterregte Synchronmaschine.” <i>Proceedings of the 14th Rapid.Tech Conference</i>, Hanser Verlag, 2017, pp. 80–93, doi:<a href=\"https://doi.org/10.3139/9783446454606.006\">10.3139/9783446454606.006</a>.","chicago":"Lammers, Stefan, Francesco Quattrone, Rafael Mrozek, Detmar Zimmer, Hans-Joachim Schmid, Bernd Ponick, and Michael Hoffmann. “Entwicklung Und Additive Herstellung Einer Leichtbau-Rotorwelle Für Eine Permanentmagneterregte Synchronmaschine.” In <i>Proceedings of the 14th Rapid.Tech Conference</i>, 80–93. Hanser Verlag, 2017. <a href=\"https://doi.org/10.3139/9783446454606.006\">https://doi.org/10.3139/9783446454606.006</a>.","short":"S. Lammers, F. Quattrone, R. Mrozek, D. Zimmer, H.-J. Schmid, B. Ponick, M. Hoffmann, in: Proceedings of the 14th Rapid.Tech Conference, Hanser Verlag, 2017, pp. 80–93.","ieee":"S. Lammers <i>et al.</i>, “Entwicklung und additive Herstellung einer Leichtbau-Rotorwelle für eine permanentmagneterregte Synchronmaschine,” in <i>Proceedings of the 14th Rapid.Tech Conference</i>, 2017, pp. 80–93.","apa":"Lammers, S., Quattrone, F., Mrozek, R., Zimmer, D., Schmid, H.-J., Ponick, B., &#38; Hoffmann, M. (2017). Entwicklung und additive Herstellung einer Leichtbau-Rotorwelle für eine permanentmagneterregte Synchronmaschine. In <i>Proceedings of the 14th Rapid.Tech Conference</i> (pp. 80–93). Hanser Verlag. <a href=\"https://doi.org/10.3139/9783446454606.006\">https://doi.org/10.3139/9783446454606.006</a>"},"publication":"Proceedings of the 14th Rapid.Tech Conference","department":[{"_id":"9"},{"_id":"146"},{"_id":"219"},{"_id":"624"}],"type":"conference","date_created":"2021-06-15T11:09:50Z"},{"citation":{"ieee":"F. Knoop and T. Lieneke, “Dimensional Tolerances for Additive Manufacturing: Fused Deposition Modeling,” in <i>Inside 3D Printing 2017</i>, 2017.","apa":"Knoop, F., &#38; Lieneke, T. (2017). Dimensional Tolerances for Additive Manufacturing: Fused Deposition Modeling. In <i>Inside 3D Printing 2017</i>.","chicago":"Knoop, Frederick, and Tobias Lieneke. “Dimensional Tolerances for Additive Manufacturing: Fused Deposition Modeling.” In <i>Inside 3D Printing 2017</i>, 2017.","short":"F. Knoop, T. Lieneke, in: Inside 3D Printing 2017, 2017.","mla":"Knoop, Frederick, and Tobias Lieneke. “Dimensional Tolerances for Additive Manufacturing: Fused Deposition Modeling.” <i>Inside 3D Printing 2017</i>, 2017.","bibtex":"@inproceedings{Knoop_Lieneke_2017, title={Dimensional Tolerances for Additive Manufacturing: Fused Deposition Modeling}, booktitle={Inside 3D Printing 2017}, author={Knoop, Frederick and Lieneke, Tobias}, year={2017} }","ama":"Knoop F, Lieneke T. Dimensional Tolerances for Additive Manufacturing: Fused Deposition Modeling. In: <i>Inside 3D Printing 2017</i>. ; 2017."},"publication":"Inside 3D Printing 2017","date_created":"2021-06-15T11:09:52Z","department":[{"_id":"9"},{"_id":"146"},{"_id":"219"},{"_id":"624"},{"_id":"367"}],"type":"conference","author":[{"last_name":"Knoop","first_name":"Frederick","full_name":"Knoop, Frederick"},{"id":"13956","last_name":"Lieneke","first_name":"Tobias","full_name":"Lieneke, Tobias"}],"year":"2017","status":"public","title":"Dimensional Tolerances for Additive Manufacturing: Fused Deposition Modeling","date_updated":"2022-01-06T06:55:32Z","_id":"22422","language":[{"iso":"eng"}],"user_id":"38077"},{"publication":"28th Annual International Solid Freeform Fabrication Symposium","citation":{"mla":"Reiher, T., et al. “Computer Integration for Geometry Generation for Product Optimization with Additive Manufacturing.” <i>28th Annual International Solid Freeform Fabrication Symposium</i>, vol. 28, 2017, pp. 903–21, doi:<a href=\"http://utw10945.utweb.utexas.edu/sites/default/files/2017/Manuscripts/ComputerIntegrationforGeometryGenerationforP.pdf\">http://utw10945.utweb.utexas.edu/sites/default/files/2017/Manuscripts/ComputerIntegrationforGeometryGenerationforP.pdf</a>.","ama":"Reiher T, Vogelsang S, Koch R. Computer integration for geometry generation for product optimization with Additive Manufacturing. In: <i>28th Annual International Solid Freeform Fabrication Symposium</i>. Vol 28. ; 2017:903-921. doi:<a href=\"http://utw10945.utweb.utexas.edu/sites/default/files/2017/Manuscripts/ComputerIntegrationforGeometryGenerationforP.pdf\">http://utw10945.utweb.utexas.edu/sites/default/files/2017/Manuscripts/ComputerIntegrationforGeometryGenerationforP.pdf</a>","bibtex":"@inproceedings{Reiher_Vogelsang_Koch_2017, title={Computer integration for geometry generation for product optimization with Additive Manufacturing}, volume={28}, DOI={<a href=\"http://utw10945.utweb.utexas.edu/sites/default/files/2017/Manuscripts/ComputerIntegrationforGeometryGenerationforP.pdf\">http://utw10945.utweb.utexas.edu/sites/default/files/2017/Manuscripts/ComputerIntegrationforGeometryGenerationforP.pdf</a>}, booktitle={28th Annual International Solid Freeform Fabrication Symposium}, author={Reiher, T. and Vogelsang, S. and Koch, R.}, year={2017}, pages={903–921} }","apa":"Reiher, T., Vogelsang, S., &#38; Koch, R. (2017). Computer integration for geometry generation for product optimization with Additive Manufacturing. In <i>28th Annual International Solid Freeform Fabrication Symposium</i> (Vol. 28, pp. 903–921). <a href=\"http://utw10945.utweb.utexas.edu/sites/default/files/2017/Manuscripts/ComputerIntegrationforGeometryGenerationforP.pdf\">http://utw10945.utweb.utexas.edu/sites/default/files/2017/Manuscripts/ComputerIntegrationforGeometryGenerationforP.pdf</a>","ieee":"T. Reiher, S. Vogelsang, and R. Koch, “Computer integration for geometry generation for product optimization with Additive Manufacturing,” in <i>28th Annual International Solid Freeform Fabrication Symposium</i>, 2017, vol. 28, pp. 903–921.","short":"T. Reiher, S. Vogelsang, R. Koch, in: 28th Annual International Solid Freeform Fabrication Symposium, 2017, pp. 903–921.","chicago":"Reiher, T., S. Vogelsang, and R. Koch. “Computer Integration for Geometry Generation for Product Optimization with Additive Manufacturing.” In <i>28th Annual International Solid Freeform Fabrication Symposium</i>, 28:903–21, 2017. <a href=\"http://utw10945.utweb.utexas.edu/sites/default/files/2017/Manuscripts/ComputerIntegrationforGeometryGenerationforP.pdf\">http://utw10945.utweb.utexas.edu/sites/default/files/2017/Manuscripts/ComputerIntegrationforGeometryGenerationforP.pdf</a>."},"abstract":[{"text":"Designing parts for additive manufacturing (AM) offers a broad range of geometrical and functional potentials. On the one hand the manufacturingtechnology offers the possibility of manufacturing highly complex freeform shapes, often referred to as bionic shapes. By use of these, perfect force fluxes without stress risings due to imperfect notches are realizable, getting the most value of used material. On the other hand these complex structures require a reliable geometry representation in compatible CAD-files. Conventional CAD systems were developed to generate geometries that are manufacturable with conventional machining. These are not capable of representing the high complex designs for AM. Especially for geometries generated by CAE like from topology optimization the conventional CAD systems fail to take advantage of the combination of CAE and AM. This paper explains why there is a lack of compatibility of well-known CAD systems with the potentials of AM. Therefore the AM-side of the problem is described by showing some potentials of AM and the need of high complex structures for this manufacturing technology. For the other side of the problem conventional methodologies for geometry representation of CAD systems are described and their limitations with regard to AM are worked out. Finally a voxel based geometry representation is presented as a solution for computer aided geometry generation of high complex AM–structures.","lang":"eng"}],"date_created":"2021-04-21T07:32:06Z","type":"conference","department":[{"_id":"144"},{"_id":"219"},{"_id":"624"}],"year":"2017","title":"Computer integration for geometry generation for product optimization with Additive Manufacturing","status":"public","author":[{"full_name":"Reiher, T.","first_name":"T.","last_name":"Reiher"},{"full_name":"Vogelsang, S.","first_name":"S.","last_name":"Vogelsang"},{"full_name":"Koch, R.","first_name":"R.","last_name":"Koch"}],"date_updated":"2022-01-06T06:55:10Z","intvolume":"        28","page":"903-921","_id":"21691","language":[{"iso":"eng"}],"user_id":"55833","doi":"http://utw10945.utweb.utexas.edu/sites/default/files/2017/Manuscripts/ComputerIntegrationforGeometryGenerationforP.pdf","volume":28},{"citation":{"bibtex":"@inproceedings{Reiher_Vogelsang_Koch_2017, title={Computer integration for geometry generation for product optimization with Additive Manufacturing}, volume={28}, DOI={<a href=\"http://utw10945.utweb.utexas.edu/sites/default/files/2017/Manuscripts/ComputerIntegrationforGeometryGenerationforP.pdf\">http://utw10945.utweb.utexas.edu/sites/default/files/2017/Manuscripts/ComputerIntegrationforGeometryGenerationforP.pdf</a>}, booktitle={28th Annual International Solid Freeform Fabrication Symposium}, author={Reiher, T. and Vogelsang, S. and Koch, R.}, year={2017}, pages={903–921} }","ama":"Reiher T, Vogelsang S, Koch R. Computer integration for geometry generation for product optimization with Additive Manufacturing. In: <i>28th Annual International Solid Freeform Fabrication Symposium</i>. Vol 28. ; 2017:903-921. doi:<a href=\"http://utw10945.utweb.utexas.edu/sites/default/files/2017/Manuscripts/ComputerIntegrationforGeometryGenerationforP.pdf\">http://utw10945.utweb.utexas.edu/sites/default/files/2017/Manuscripts/ComputerIntegrationforGeometryGenerationforP.pdf</a>","mla":"Reiher, T., et al. “Computer Integration for Geometry Generation for Product Optimization with Additive Manufacturing.” <i>28th Annual International Solid Freeform Fabrication Symposium</i>, vol. 28, 2017, pp. 903–21, doi:<a href=\"http://utw10945.utweb.utexas.edu/sites/default/files/2017/Manuscripts/ComputerIntegrationforGeometryGenerationforP.pdf\">http://utw10945.utweb.utexas.edu/sites/default/files/2017/Manuscripts/ComputerIntegrationforGeometryGenerationforP.pdf</a>.","chicago":"Reiher, T., S. Vogelsang, and R. Koch. “Computer Integration for Geometry Generation for Product Optimization with Additive Manufacturing.” In <i>28th Annual International Solid Freeform Fabrication Symposium</i>, 28:903–21, 2017. <a href=\"http://utw10945.utweb.utexas.edu/sites/default/files/2017/Manuscripts/ComputerIntegrationforGeometryGenerationforP.pdf\">http://utw10945.utweb.utexas.edu/sites/default/files/2017/Manuscripts/ComputerIntegrationforGeometryGenerationforP.pdf</a>.","short":"T. Reiher, S. Vogelsang, R. Koch, in: 28th Annual International Solid Freeform Fabrication Symposium, 2017, pp. 903–921.","ieee":"T. Reiher, S. Vogelsang, and R. Koch, “Computer integration for geometry generation for product optimization with Additive Manufacturing,” in <i>28th Annual International Solid Freeform Fabrication Symposium</i>, 2017, vol. 28, pp. 903–921.","apa":"Reiher, T., Vogelsang, S., &#38; Koch, R. (2017). Computer integration for geometry generation for product optimization with Additive Manufacturing. In <i>28th Annual International Solid Freeform Fabrication Symposium</i> (Vol. 28, pp. 903–921). <a href=\"http://utw10945.utweb.utexas.edu/sites/default/files/2017/Manuscripts/ComputerIntegrationforGeometryGenerationforP.pdf\">http://utw10945.utweb.utexas.edu/sites/default/files/2017/Manuscripts/ComputerIntegrationforGeometryGenerationforP.pdf</a>"},"publication":"28th Annual International Solid Freeform Fabrication Symposium","abstract":[{"text":"Designing parts for additive manufacturing (AM) offers a broad range of geometrical and functional potentials. On the one hand the manufacturingtechnology offers the possibility of manufacturing highly complex freeform shapes, often referred to as bionic shapes. By use of these, perfect force fluxes without stress risings due to imperfect notches are realizable, getting the most value of used material. On the other hand these complex structures require a reliable geometry representation in compatible CAD-files. Conventional CAD systems were developed to generate geometries that are manufacturable with conventional machining. These are not capable of representing the high complex designs for AM. Especially for geometries generated by CAE like from topology optimization the conventional CAD systems fail to take advantage of the combination of CAE and AM. This paper explains why there is a lack of compatibility of well-known CAD systems with the potentials of AM. Therefore the AM-side of the problem is described by showing some potentials of AM and the need of high complex structures for this manufacturing technology. For the other side of the problem conventional methodologies for geometry representation of CAD systems are described and their limitations with regard to AM are worked out. Finally a voxel based geometry representation is presented as a solution for computer aided geometry generation of high complex AM–structures.","lang":"eng"}],"date_created":"2021-04-21T07:38:05Z","department":[{"_id":"144"},{"_id":"219"},{"_id":"624"}],"type":"conference","author":[{"first_name":"T.","last_name":"Reiher","full_name":"Reiher, T."},{"first_name":"S.","last_name":"Vogelsang","full_name":"Vogelsang, S."},{"full_name":"Koch, R.","first_name":"R.","last_name":"Koch"}],"year":"2017","title":"Computer integration for geometry generation for product optimization with Additive Manufacturing","status":"public","intvolume":"        28","date_updated":"2022-01-06T06:55:10Z","language":[{"iso":"eng"}],"_id":"21695","page":"903-921","volume":28,"user_id":"55833","doi":"http://utw10945.utweb.utexas.edu/sites/default/files/2017/Manuscripts/ComputerIntegrationforGeometryGenerationforP.pdf"},{"publisher":"Springer","_id":"21704","language":[{"iso":"eng"}],"page":"43-55","volume":2,"user_id":"55833","doi":"https://doi.org/10.1007/s40964-017-0018-y","publication_identifier":{"isbn":["2363-9520"]},"author":[{"full_name":"Reiher, T.","first_name":"T.","last_name":"Reiher"},{"full_name":"Lindemann, C.","last_name":"Lindemann","first_name":"C."},{"full_name":"Jahnke, U.","last_name":"Jahnke","first_name":"U."},{"full_name":"Deppe, G.","last_name":"Deppe","first_name":"G."},{"first_name":"R.","last_name":"Koch","full_name":"Koch, R."}],"title":"Holistic approach for industrializing AM technology - from part selection to test and verification","status":"public","year":"2017","intvolume":"         2","date_updated":"2022-01-06T06:55:11Z","date_created":"2021-04-21T07:45:01Z","department":[{"_id":"144"},{"_id":"219"},{"_id":"624"}],"type":"journal_article","citation":{"ieee":"T. Reiher, C. Lindemann, U. Jahnke, G. Deppe, and R. Koch, “Holistic approach for industrializing AM technology - from part selection to test and verification,” <i>Progress in Additive Manufacturing</i>, vol. 2, pp. 43–55, 2017.","apa":"Reiher, T., Lindemann, C., Jahnke, U., Deppe, G., &#38; Koch, R. (2017). Holistic approach for industrializing AM technology - from part selection to test and verification. <i>Progress in Additive Manufacturing</i>, <i>2</i>, 43–55. <a href=\"https://doi.org/10.1007/s40964-017-0018-y\">https://doi.org/10.1007/s40964-017-0018-y</a>","chicago":"Reiher, T., C. Lindemann, U. Jahnke, G. Deppe, and R. Koch. “Holistic Approach for Industrializing AM Technology - from Part Selection to Test and Verification.” <i>Progress in Additive Manufacturing</i> 2 (2017): 43–55. <a href=\"https://doi.org/10.1007/s40964-017-0018-y\">https://doi.org/10.1007/s40964-017-0018-y</a>.","short":"T. Reiher, C. Lindemann, U. Jahnke, G. Deppe, R. Koch, Progress in Additive Manufacturing 2 (2017) 43–55.","mla":"Reiher, T., et al. “Holistic Approach for Industrializing AM Technology - from Part Selection to Test and Verification.” <i>Progress in Additive Manufacturing</i>, vol. 2, Springer, 2017, pp. 43–55, doi:<a href=\"https://doi.org/10.1007/s40964-017-0018-y\">https://doi.org/10.1007/s40964-017-0018-y</a>.","bibtex":"@article{Reiher_Lindemann_Jahnke_Deppe_Koch_2017, title={Holistic approach for industrializing AM technology - from part selection to test and verification}, volume={2}, DOI={<a href=\"https://doi.org/10.1007/s40964-017-0018-y\">https://doi.org/10.1007/s40964-017-0018-y</a>}, journal={Progress in Additive Manufacturing}, publisher={Springer}, author={Reiher, T. and Lindemann, C. and Jahnke, U. and Deppe, G. and Koch, R.}, year={2017}, pages={43–55} }","ama":"Reiher T, Lindemann C, Jahnke U, Deppe G, Koch R. Holistic approach for industrializing AM technology - from part selection to test and verification. <i>Progress in Additive Manufacturing</i>. 2017;2:43-55. doi:<a href=\"https://doi.org/10.1007/s40964-017-0018-y\">https://doi.org/10.1007/s40964-017-0018-y</a>"},"publication":"Progress in Additive Manufacturing","abstract":[{"text":"Even in times where additive manufacturing has a peak in media and industry interest, only few companies have already implemented this technology. Many companies struggle with the use of AM even if they have already identified the benefits of this technology for their business. Additional knowledge along the whole product development chain is necessary to succeed in implementing this technology. As all other production technologies, AM has certain strength and weaknesses which affect the suitable part candidates. Redesign or manufacturing approaches of unsuited part candidates are no very likely to be successful. In general, aspects like design rules need to be known along the product development process in order to achieve technology-based benefits during production and post-processing resulting in economic success. This paper will present a holistic approach which will assist the designer during product development and manufacturing based on an example part from the space industry. Then methodology starts with an appropriate part selection as a key parameter for the product development process. Based on the promising part candidates, deductions for the further product development process will be described. This includes approaches for functional integration as well as a methodology for the compilation of part requirements. Those are utilized for a black box methodology, ensuring a time-efficient redesign based on FEA optimization and design rules for additive manufacturing. Best practices for integrating (or in the best case avoiding) traditional technologies are discussed. Based on this, the development of industrialization and test and verification plans for production are shown. This includes the marking of parts for traceability during the whole product lifecycle for quality reasons as well as for product protection. Furthermore, production and production planning are discussed. This is followed by post-processing and testing procedures of the part. The paper will close with a detailed economic view on the topic and some deductions regarding the changes in the supply chain. The methodology itself is discussed and explained on a real sample metal part. The general methodology is discussed on the basis of the space industry but is subject to be adapted to other industries.","lang":"eng"}]},{"project":[{"name":"SFB 901","_id":"1"},{"_id":"16","name":"SFB 901 - Subprojekt C4"},{"name":"SFB 901 - Project Area C","_id":"4"},{"grant_number":"671517","_id":"25","name":"SONATA NFV: Agile Service Development and Orchestration in 5G Virtualized Networks","call_identifier":"5G PPP Phase 1"}],"file_date_updated":"2018-06-13T09:22:37Z","citation":{"ama":"Dräxler S, Karl H. Specification, Composition, and Placement of Network Services with Flexible Structures. <i>International Journal of Network Management</i>. 2017;(2):1--16. doi:<a href=\"https://doi.org/10.1002/nem.1963\">10.1002/nem.1963</a>","bibtex":"@article{Dräxler_Karl_2017, title={Specification, Composition, and Placement of Network Services with Flexible Structures}, DOI={<a href=\"https://doi.org/10.1002/nem.1963\">10.1002/nem.1963</a>}, number={2}, journal={International Journal of Network Management}, publisher={Wiley Online Library}, author={Dräxler, Sevil and Karl, Holger}, year={2017}, pages={1--16} }","mla":"Dräxler, Sevil, and Holger Karl. “Specification, Composition, and Placement of Network Services with Flexible Structures.” <i>International Journal of Network Management</i>, no. 2, Wiley Online Library, 2017, pp. 1--16, doi:<a href=\"https://doi.org/10.1002/nem.1963\">10.1002/nem.1963</a>.","chicago":"Dräxler, Sevil, and Holger Karl. “Specification, Composition, and Placement of Network Services with Flexible Structures.” <i>International Journal of Network Management</i>, no. 2 (2017): 1--16. <a href=\"https://doi.org/10.1002/nem.1963\">https://doi.org/10.1002/nem.1963</a>.","short":"S. Dräxler, H. Karl, International Journal of Network Management (2017) 1--16.","apa":"Dräxler, S., &#38; Karl, H. (2017). Specification, Composition, and Placement of Network Services with Flexible Structures. <i>International Journal of Network Management</i>, (2), 1--16. <a href=\"https://doi.org/10.1002/nem.1963\">https://doi.org/10.1002/nem.1963</a>","ieee":"S. Dräxler and H. Karl, “Specification, Composition, and Placement of Network Services with Flexible Structures,” <i>International Journal of Network Management</i>, no. 2, pp. 1--16, 2017."},"oa":"1","has_accepted_license":"1","status":"public","user_id":"477","ddc":["040"],"page":"1--16","_id":"58","publisher":"Wiley Online Library","urn":"582","abstract":[{"lang":"eng","text":"Network function virtualization and software-defined networking allow services consisting of virtual network functions to be designed and implemented with great flexibility by facilitating automatic deployments, migrations, and reconfigurations for services and their components. For extended flexibility, we go beyond seeing services as a fixed chain of functions. We define the service structure in a flexible way that enables changing the order of functions in case the functionality of the service is not influenced by this, and propose a YANG data model for expressing this flexibility. Flexible structures allow the network orchestration system to choose the optimal composition of service components that for example gives the best results for placement of services in the network. When number of flexible services and number of components in each service increase, combinatorial explosion limits the practical use of this flexibility. In this paper, we describe a selection heuristic that gives a Pareto set of the possible compositions of a service as well as possible combinations of different services, with respect to different optimization objectives. Moreover, we present a heuristic algorithm for placement of a combination of services, which aims at placing service components along shortest paths that have enough capacity for accommodating the services. By applying these solutions, we show that allowing flexibility in the service structure is feasible."}],"issue":"2","publication":"International Journal of Network Management","type":"journal_article","department":[{"_id":"75"}],"file":[{"date_updated":"2018-06-13T09:15:42Z","relation":"hidden","file_size":2765738,"access_level":"open_access","file_name":"58-preprint-ijnm.pdf","content_type":"application/pdf","file_id":"1579","creator":"florida","date_created":"2018-03-21T13:18:13Z"},{"date_created":"2018-06-13T09:22:37Z","creator":"sevilmeh","content_type":"application/pdf","file_id":"3197","access_level":"open_access","file_size":2766920,"file_name":"58-accepted-ijnm.pdf","date_updated":"2018-06-13T09:22:37Z","relation":"main_file"}],"date_created":"2017-10-17T12:41:02Z","date_updated":"2022-01-06T07:02:42Z","title":"Specification, Composition, and Placement of Network Services with Flexible Structures","year":"2017","author":[{"first_name":"Sevil","last_name":"Dräxler","full_name":"Dräxler, Sevil","id":"31764"},{"id":"126","full_name":"Karl, Holger","last_name":"Karl","first_name":"Holger"}],"doi":"10.1002/nem.1963"},{"date_updated":"2022-01-06T07:02:47Z","publication_status":"published","author":[{"full_name":"Dellnitz, Michael","last_name":"Dellnitz","first_name":"Michael"},{"full_name":"Eckstein, Julian","last_name":"Eckstein","first_name":"Julian"},{"full_name":"Flaßkamp, Kathrin","last_name":"Flaßkamp","first_name":"Kathrin"},{"full_name":"Friedel, Patrick","last_name":"Friedel","first_name":"Patrick"},{"last_name":"Horenkamp","first_name":"Christian","full_name":"Horenkamp, Christian"},{"full_name":"Köhler, Ulrich","first_name":"Ulrich","last_name":"Köhler"},{"id":"16494","full_name":"Ober-Blöbaum, Sina","last_name":"Ober-Blöbaum","first_name":"Sina"},{"full_name":"Peitz, Sebastian","last_name":"Peitz","orcid":"https://orcid.org/0000-0002-3389-793X","first_name":"Sebastian","id":"47427"},{"last_name":"Tiemeyer","first_name":"Sebastian","full_name":"Tiemeyer, Sebastian"}],"publication_identifier":{"isbn":["9783319234120","9783319234137"],"issn":["1612-3956","2198-3283"]},"year":"2017","status":"public","title":"Multiobjective Optimal Control Methods for the Development of an Intelligent Cruise Control","doi":"10.1007/978-3-319-23413-7_87","user_id":"47427","language":[{"iso":"eng"}],"_id":"5914","publisher":"Springer International Publishing","page":"633-641","project":[{"name":"Computing Resources Provided by the Paderborn Center for Parallel Computing","_id":"52"}],"abstract":[{"text":"During the last years, alternative drive technologies, for example electrically powered vehicles (EV), have gained more and more attention, mainly caused by an increasing awareness of the impact of CO2 emissions on climate change and by the limitation of fossil fuels. However, these technologies currently come with new challenges due to limited lithium ion battery storage density and high battery costs which lead to a considerably reduced range in comparison to conventional internal combustion engine powered vehicles. For this reason, it is desirable to increase the vehicle range without enlarging the battery. When the route and the road slope are known in advance, it is possible to vary the vehicles velocity within certain limits in order to reduce the overall drivetrain energy consumption. This may either result in an increased range or, alternatively, in larger energy reserves for comfort functions such as air conditioning. In this presentation, we formulate the challenge of range extension as a multiobjective optimal control problem. We then apply different numerical methods to calculate the so-called Pareto set of optimal compromises for the drivetrain power profile with respect to the two concurrent objectives battery state of charge and mean velocity. In order to numerically solve the optimal control problem by means of a direct method, a time discretization of the drivetrain power profile is necessary. In combination with a vehicle dynamics simulation model, the optimal control problem is transformed into a high dimensional nonlinear optimization problem. For the approximation of the Pareto set, two different optimization algorithms implemented in the software package GAIO are used. The first one yields a global optimal solution by applying a set-oriented subdivision technique to parameter space. By construction, this technique is limited to coarse discretizations of the drivetrain power profile. In contrast, the second technique, which is based on an image space continuation method, is more suitable when the number of parameters is large while the number of objectives is less than five. We compare the solutions of the two algorithms and study the influence of different discretizations on the quality of the solutions. A MATLAB/Simulink model is used to describe the dynamics of an EV. It is based on a drivetrain efficiency map and considers vehicle properties such as rolling friction and air drag, as well as environmental conditions like slope and ambient temperature. The vehicle model takes into account the traction battery too, enabling an exact prediction of the batterys response to power requests of drivetrain and auxiliary loads, including state of charge.","lang":"eng"}],"citation":{"ama":"Dellnitz M, Eckstein J, Flaßkamp K, et al. Multiobjective Optimal Control Methods for the Development of an Intelligent Cruise Control. In: <i>Progress in Industrial Mathematics at ECMI 2014 </i>. Cham: Springer International Publishing; 2017:633-641. doi:<a href=\"https://doi.org/10.1007/978-3-319-23413-7_87\">10.1007/978-3-319-23413-7_87</a>","short":"M. Dellnitz, J. Eckstein, K. Flaßkamp, P. Friedel, C. Horenkamp, U. Köhler, S. Ober-Blöbaum, S. Peitz, S. Tiemeyer, in: Progress in Industrial Mathematics at ECMI 2014 , Springer International Publishing, Cham, 2017, pp. 633–641.","chicago":"Dellnitz, Michael, Julian Eckstein, Kathrin Flaßkamp, Patrick Friedel, Christian Horenkamp, Ulrich Köhler, Sina Ober-Blöbaum, Sebastian Peitz, and Sebastian Tiemeyer. “Multiobjective Optimal Control Methods for the Development of an Intelligent Cruise Control.” In <i>Progress in Industrial Mathematics at ECMI 2014 </i>, 633–41. Cham: Springer International Publishing, 2017. <a href=\"https://doi.org/10.1007/978-3-319-23413-7_87\">https://doi.org/10.1007/978-3-319-23413-7_87</a>.","bibtex":"@inproceedings{Dellnitz_Eckstein_Flaßkamp_Friedel_Horenkamp_Köhler_Ober-Blöbaum_Peitz_Tiemeyer_2017, place={Cham}, title={Multiobjective Optimal Control Methods for the Development of an Intelligent Cruise Control}, DOI={<a href=\"https://doi.org/10.1007/978-3-319-23413-7_87\">10.1007/978-3-319-23413-7_87</a>}, booktitle={Progress in Industrial Mathematics at ECMI 2014 }, publisher={Springer International Publishing}, author={Dellnitz, Michael and Eckstein, Julian and Flaßkamp, Kathrin and Friedel, Patrick and Horenkamp, Christian and Köhler, Ulrich and Ober-Blöbaum, Sina and Peitz, Sebastian and Tiemeyer, Sebastian}, year={2017}, pages={633–641} }","apa":"Dellnitz, M., Eckstein, J., Flaßkamp, K., Friedel, P., Horenkamp, C., Köhler, U., … Tiemeyer, S. (2017). Multiobjective Optimal Control Methods for the Development of an Intelligent Cruise Control. In <i>Progress in Industrial Mathematics at ECMI 2014 </i> (pp. 633–641). Cham: Springer International Publishing. <a href=\"https://doi.org/10.1007/978-3-319-23413-7_87\">https://doi.org/10.1007/978-3-319-23413-7_87</a>","mla":"Dellnitz, Michael, et al. “Multiobjective Optimal Control Methods for the Development of an Intelligent Cruise Control.” <i>Progress in Industrial Mathematics at ECMI 2014 </i>, Springer International Publishing, 2017, pp. 633–41, doi:<a href=\"https://doi.org/10.1007/978-3-319-23413-7_87\">10.1007/978-3-319-23413-7_87</a>.","ieee":"M. Dellnitz <i>et al.</i>, “Multiobjective Optimal Control Methods for the Development of an Intelligent Cruise Control,” in <i>Progress in Industrial Mathematics at ECMI 2014 </i>, 2017, pp. 633–641."},"publication":"Progress in Industrial Mathematics at ECMI 2014 ","type":"conference","place":"Cham","date_created":"2018-11-27T14:46:52Z"},{"has_accepted_license":"1","date_updated":"2022-01-06T07:03:26Z","author":[{"id":"22704","first_name":"Björn","last_name":"Feldkord","full_name":"Feldkord, Björn"},{"id":"37612","full_name":"Markarian, Christine","last_name":"Markarian","first_name":"Christine"},{"id":"15523","full_name":"Meyer auf der Heide, Friedhelm","last_name":"Meyer auf der Heide","first_name":"Friedhelm"}],"title":"Price Fluctuations in Online Leasing","year":"2017","status":"public","user_id":"477","doi":"10.1007/978-3-319-71147-8_2","ddc":["000"],"language":[{"iso":"eng"}],"_id":"70","page":"17 - 31","project":[{"name":"SFB 901","_id":"1"},{"name":"SFB 901 - Subprojekt A1","_id":"5"},{"_id":"2","name":"SFB 901 - Project Area A"}],"citation":{"chicago":"Feldkord, Björn, Christine Markarian, and Friedhelm Meyer auf der Heide. “Price Fluctuations in Online Leasing.” In <i>Proceedings of the 11th Annual International Conference on Combinatorial Optimization and Applications (COCOA)</i>, 17–31, 2017. <a href=\"https://doi.org/10.1007/978-3-319-71147-8_2\">https://doi.org/10.1007/978-3-319-71147-8_2</a>.","short":"B. Feldkord, C. Markarian, F. Meyer auf der Heide, in: Proceedings of the 11th Annual International Conference on Combinatorial Optimization and Applications (COCOA), 2017, pp. 17–31.","apa":"Feldkord, B., Markarian, C., &#38; Meyer auf der Heide, F. (2017). Price Fluctuations in Online Leasing. In <i>Proceedings of the 11th Annual International Conference on Combinatorial Optimization and Applications (COCOA)</i> (pp. 17–31). <a href=\"https://doi.org/10.1007/978-3-319-71147-8_2\">https://doi.org/10.1007/978-3-319-71147-8_2</a>","ieee":"B. Feldkord, C. Markarian, and F. Meyer auf der Heide, “Price Fluctuations in Online Leasing,” in <i>Proceedings of the 11th Annual International Conference on Combinatorial Optimization and Applications (COCOA)</i>, 2017, pp. 17–31.","ama":"Feldkord B, Markarian C, Meyer auf der Heide F. Price Fluctuations in Online Leasing. In: <i>Proceedings of the 11th Annual International Conference on Combinatorial Optimization and Applications (COCOA)</i>. ; 2017:17-31. doi:<a href=\"https://doi.org/10.1007/978-3-319-71147-8_2\">10.1007/978-3-319-71147-8_2</a>","bibtex":"@inproceedings{Feldkord_Markarian_Meyer auf der Heide_2017, title={Price Fluctuations in Online Leasing}, DOI={<a href=\"https://doi.org/10.1007/978-3-319-71147-8_2\">10.1007/978-3-319-71147-8_2</a>}, booktitle={Proceedings of the 11th Annual International Conference on Combinatorial Optimization and Applications (COCOA)}, author={Feldkord, Björn and Markarian, Christine and Meyer auf der Heide, Friedhelm}, year={2017}, pages={17–31} }","mla":"Feldkord, Björn, et al. “Price Fluctuations in Online Leasing.” <i>Proceedings of the 11th Annual International Conference on Combinatorial Optimization and Applications (COCOA)</i>, 2017, pp. 17–31, doi:<a href=\"https://doi.org/10.1007/978-3-319-71147-8_2\">10.1007/978-3-319-71147-8_2</a>."},"file_date_updated":"2018-11-02T15:06:13Z","publication":"Proceedings of the 11th Annual International Conference on Combinatorial Optimization and Applications (COCOA)","department":[{"_id":"63"}],"type":"conference","date_created":"2017-10-17T12:41:05Z","file":[{"date_created":"2018-11-02T15:06:13Z","creator":"ups","content_type":"application/pdf","success":1,"file_id":"5293","date_updated":"2018-11-02T15:06:13Z","relation":"main_file","file_size":287315,"access_level":"closed","file_name":"PriceFluctuationInOnlineLeasin.pdf"}]},{"date_updated":"2022-01-06T07:03:27Z","intvolume":"        36","year":"2017","title":"Cost-efficient Scheduling on Machines from the Cloud","author":[{"id":"13536","last_name":"Mäcker","first_name":"Alexander","full_name":"Mäcker, Alexander"},{"first_name":"Manuel","last_name":"Malatyali","full_name":"Malatyali, Manuel"},{"first_name":"Friedhelm","last_name":"Meyer auf der Heide","full_name":"Meyer auf der Heide, Friedhelm","id":"15523"},{"full_name":"Riechers, Sören","last_name":"Riechers","first_name":"Sören"}],"doi":"10.1007/s10878-017-0198-x","language":[{"iso":"eng"}],"issue":"4","publication":"Journal of Combinatorial Optimization","type":"journal_article","department":[{"_id":"63"}],"file":[{"date_created":"2018-03-14T12:21:34Z","creator":"florida","content_type":"application/pdf","success":1,"file_id":"1210","access_level":"closed","file_size":608614,"file_name":"706-chp_3A10.1007_2F978-3-319-48749-6_42.pdf","date_updated":"2018-03-14T12:21:34Z","relation":"main_file"}],"date_created":"2017-11-15T10:21:34Z","has_accepted_license":"1","status":"public","user_id":"15415","ddc":["040"],"volume":36,"page":"1168-1194","publisher":"Springer","_id":"706","project":[{"name":"SFB 901","_id":"1"},{"name":"SFB 901 - Subprojekt C4","_id":"16"},{"_id":"4","name":"SFB 901 - Project Area C"}],"file_date_updated":"2018-03-14T12:21:34Z","citation":{"short":"A. Mäcker, M. Malatyali, F. Meyer auf der Heide, S. Riechers, Journal of Combinatorial Optimization 36 (2017) 1168–1194.","chicago":"Mäcker, Alexander, Manuel Malatyali, Friedhelm Meyer auf der Heide, and Sören Riechers. “Cost-Efficient Scheduling on Machines from the Cloud.” <i>Journal of Combinatorial Optimization</i> 36, no. 4 (2017): 1168–94. <a href=\"https://doi.org/10.1007/s10878-017-0198-x\">https://doi.org/10.1007/s10878-017-0198-x</a>.","ieee":"A. Mäcker, M. Malatyali, F. Meyer auf der Heide, and S. Riechers, “Cost-efficient Scheduling on Machines from the Cloud,” <i>Journal of Combinatorial Optimization</i>, vol. 36, no. 4, pp. 1168–1194, 2017.","apa":"Mäcker, A., Malatyali, M., Meyer auf der Heide, F., &#38; Riechers, S. (2017). Cost-efficient Scheduling on Machines from the Cloud. <i>Journal of Combinatorial Optimization</i>, <i>36</i>(4), 1168–1194. <a href=\"https://doi.org/10.1007/s10878-017-0198-x\">https://doi.org/10.1007/s10878-017-0198-x</a>","bibtex":"@article{Mäcker_Malatyali_Meyer auf der Heide_Riechers_2017, title={Cost-efficient Scheduling on Machines from the Cloud}, volume={36}, DOI={<a href=\"https://doi.org/10.1007/s10878-017-0198-x\">10.1007/s10878-017-0198-x</a>}, number={4}, journal={Journal of Combinatorial Optimization}, publisher={Springer}, author={Mäcker, Alexander and Malatyali, Manuel and Meyer auf der Heide, Friedhelm and Riechers, Sören}, year={2017}, pages={1168–1194} }","ama":"Mäcker A, Malatyali M, Meyer auf der Heide F, Riechers S. Cost-efficient Scheduling on Machines from the Cloud. <i>Journal of Combinatorial Optimization</i>. 2017;36(4):1168-1194. doi:<a href=\"https://doi.org/10.1007/s10878-017-0198-x\">10.1007/s10878-017-0198-x</a>","mla":"Mäcker, Alexander, et al. “Cost-Efficient Scheduling on Machines from the Cloud.” <i>Journal of Combinatorial Optimization</i>, vol. 36, no. 4, Springer, 2017, pp. 1168–94, doi:<a href=\"https://doi.org/10.1007/s10878-017-0198-x\">10.1007/s10878-017-0198-x</a>."}},{"department":[{"_id":"75"}],"type":"conference","date_created":"2017-10-17T12:41:08Z","file":[{"relation":"main_file","date_updated":"2018-06-25T08:07:43Z","file_name":"RIS.pdf","access_level":"open_access","file_size":2229109,"file_id":"3324","content_type":"application/pdf","creator":"sevilmeh","date_created":"2018-06-25T08:07:43Z"}],"abstract":[{"text":"Management of complex network services requires flexible and efficient service provisioning as well as optimized handling of continuous changes in the workload of the service.To adapt to changes in the demand, service components need to be replicated (scaling) and allocated to physical resources (placement) dynamically. In this paper, we propose a fullyautomated approach to the joint optimization problem of scaling and placement, enabling quick reaction to changes. We formalize the problem, analyze its complexity, and develop two algorithms to solve it. Extensive empirical results show the applicability andeffectiveness of the proposed approach.","lang":"eng"}],"publication":"Proceedings of the 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid 2017)","doi":"10.1109/CCGRID.2017.25","date_updated":"2022-01-06T07:03:59Z","author":[{"id":"31764","full_name":"Dräxler, Sevil","last_name":"Dräxler","first_name":"Sevil"},{"full_name":"Karl, Holger","last_name":"Karl","first_name":"Holger","id":"126"},{"full_name":"Mann, Zoltan Adam","first_name":"Zoltan Adam","last_name":"Mann"}],"title":"Joint Optimization of Scaling and Placement of Virtual Network Services","year":"2017","oa":"1","project":[{"name":"SFB 901","_id":"1"},{"name":"SFB 901 - Subprojekt C4","_id":"16"},{"_id":"4","name":"SFB 901 - Project Area C"},{"grant_number":"671517","_id":"25","name":"SONATA NFV: Agile Service Development and Orchestration in 5G Virtualized Networks","call_identifier":"5G PPP Phase 1"}],"citation":{"bibtex":"@inproceedings{Dräxler_Karl_Mann_2017, title={Joint Optimization of Scaling and Placement of Virtual Network Services}, DOI={<a href=\"https://doi.org/10.1109/CCGRID.2017.25\">10.1109/CCGRID.2017.25</a>}, booktitle={Proceedings of the 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid 2017)}, author={Dräxler, Sevil and Karl, Holger and Mann, Zoltan Adam}, year={2017} }","ama":"Dräxler S, Karl H, Mann ZA. Joint Optimization of Scaling and Placement of Virtual Network Services. In: <i>Proceedings of the 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid 2017)</i>. ; 2017. doi:<a href=\"https://doi.org/10.1109/CCGRID.2017.25\">10.1109/CCGRID.2017.25</a>","mla":"Dräxler, Sevil, et al. “Joint Optimization of Scaling and Placement of Virtual Network Services.” <i>Proceedings of the 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid 2017)</i>, 2017, doi:<a href=\"https://doi.org/10.1109/CCGRID.2017.25\">10.1109/CCGRID.2017.25</a>.","chicago":"Dräxler, Sevil, Holger Karl, and Zoltan Adam Mann. “Joint Optimization of Scaling and Placement of Virtual Network Services.” In <i>Proceedings of the 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid 2017)</i>, 2017. <a href=\"https://doi.org/10.1109/CCGRID.2017.25\">https://doi.org/10.1109/CCGRID.2017.25</a>.","short":"S. Dräxler, H. Karl, Z.A. Mann, in: Proceedings of the 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid 2017), 2017.","ieee":"S. Dräxler, H. Karl, and Z. A. Mann, “Joint Optimization of Scaling and Placement of Virtual Network Services,” in <i>Proceedings of the 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid 2017)</i>, 2017.","apa":"Dräxler, S., Karl, H., &#38; Mann, Z. A. (2017). Joint Optimization of Scaling and Placement of Virtual Network Services. In <i>Proceedings of the 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid 2017)</i>. <a href=\"https://doi.org/10.1109/CCGRID.2017.25\">https://doi.org/10.1109/CCGRID.2017.25</a>"},"file_date_updated":"2018-06-25T08:07:43Z","ddc":["040"],"user_id":"31764","urn":"873","_id":"87","has_accepted_license":"1","status":"public"},{"language":[{"iso":"eng"}],"_id":"8752","page":"159-182","user_id":"47427","doi":"10.1007/978-3-319-64063-1_7","author":[{"full_name":"Peitz, Sebastian","first_name":"Sebastian","last_name":"Peitz","orcid":"https://orcid.org/0000-0002-3389-793X","id":"47427"},{"last_name":"Dellnitz","first_name":"Michael","full_name":"Dellnitz, Michael"}],"publication_identifier":{"isbn":["9783319640624","9783319640631"],"issn":["1860-949X","1860-9503"]},"title":"Gradient-Based Multiobjective Optimization with Uncertainties","year":"2017","status":"public","publication_status":"published","date_updated":"2022-01-06T07:04:00Z","date_created":"2019-03-29T13:28:56Z","place":"Cham","department":[{"_id":"101"}],"type":"conference","citation":{"apa":"Peitz, S., &#38; Dellnitz, M. (2017). Gradient-Based Multiobjective Optimization with Uncertainties. In <i>NEO 2016</i> (pp. 159–182). Cham. <a href=\"https://doi.org/10.1007/978-3-319-64063-1_7\">https://doi.org/10.1007/978-3-319-64063-1_7</a>","ieee":"S. Peitz and M. Dellnitz, “Gradient-Based Multiobjective Optimization with Uncertainties,” in <i>NEO 2016</i>, 2017, pp. 159–182.","short":"S. Peitz, M. Dellnitz, in: NEO 2016, Cham, 2017, pp. 159–182.","chicago":"Peitz, Sebastian, and Michael Dellnitz. “Gradient-Based Multiobjective Optimization with Uncertainties.” In <i>NEO 2016</i>, 159–82. Cham, 2017. <a href=\"https://doi.org/10.1007/978-3-319-64063-1_7\">https://doi.org/10.1007/978-3-319-64063-1_7</a>.","mla":"Peitz, Sebastian, and Michael Dellnitz. “Gradient-Based Multiobjective Optimization with Uncertainties.” <i>NEO 2016</i>, 2017, pp. 159–82, doi:<a href=\"https://doi.org/10.1007/978-3-319-64063-1_7\">10.1007/978-3-319-64063-1_7</a>.","ama":"Peitz S, Dellnitz M. Gradient-Based Multiobjective Optimization with Uncertainties. In: <i>NEO 2016</i>. Cham; 2017:159-182. doi:<a href=\"https://doi.org/10.1007/978-3-319-64063-1_7\">10.1007/978-3-319-64063-1_7</a>","bibtex":"@inproceedings{Peitz_Dellnitz_2017, place={Cham}, title={Gradient-Based Multiobjective Optimization with Uncertainties}, DOI={<a href=\"https://doi.org/10.1007/978-3-319-64063-1_7\">10.1007/978-3-319-64063-1_7</a>}, booktitle={NEO 2016}, author={Peitz, Sebastian and Dellnitz, Michael}, year={2017}, pages={159–182} }"},"publication":"NEO 2016","project":[{"name":"Computing Resources Provided by the Paderborn Center for Parallel Computing","_id":"52"}],"abstract":[{"lang":"eng","text":"In this article we develop a gradient-based algorithm for the solution of multiobjective optimization problems with uncertainties. To this end, an additional condition is derived for the descent direction in order to account for inaccuracies in the gradients and then incorporated into a subdivision algorithm for the computation of global solutions to multiobjective optimization problems. Convergence to a superset of the Pareto set is proved and an upper bound for the maximal distance to the set of substationary points is given. Besides the applicability to problems with uncertainties, the algorithm is developed with the intention to use it in combination with model order reduction techniques in order to efficiently solve PDE-constrained multiobjective optimization problems."}]},{"project":[{"call_identifier":"FP7-ICT-2011-C","name":"Connectivity management for eneRgy Optimised Wireless Dense works","_id":"22","grant_number":"318115"}],"citation":{"ieee":"S. Auroux, S. Scholz, and H. Karl, “Assessing Genetic Algorithms for Placing Flow Processing-aware Control Applications,” in <i>Proc. European Wireless</i>, 2017.","mla":"Auroux, Sébastien, et al. “Assessing Genetic Algorithms for Placing Flow Processing-Aware Control Applications.” <i>Proc. European Wireless</i>, 2017.","apa":"Auroux, S., Scholz, S., &#38; Karl, H. (2017). Assessing Genetic Algorithms for Placing Flow Processing-aware Control Applications. In <i>Proc. European Wireless</i>.","bibtex":"@inproceedings{Auroux_Scholz_Karl_2017, title={Assessing Genetic Algorithms for Placing Flow Processing-aware Control Applications}, booktitle={Proc. European Wireless}, author={Auroux, Sébastien and Scholz, S. and Karl, Holger}, year={2017} }","chicago":"Auroux, Sébastien, S. Scholz, and Holger Karl. “Assessing Genetic Algorithms for Placing Flow Processing-Aware Control Applications.” In <i>Proc. European Wireless</i>, 2017.","short":"S. Auroux, S. Scholz, H. Karl, in: Proc. European Wireless, 2017.","ama":"Auroux S, Scholz S, Karl H. Assessing Genetic Algorithms for Placing Flow Processing-aware Control Applications. In: <i>Proc. European Wireless</i>. ; 2017."},"ec_funded":"1","publication":"Proc. European Wireless","department":[{"_id":"75"}],"type":"conference","date_created":"2017-11-27T10:22:29Z","date_updated":"2019-01-03T13:18:55Z","author":[{"last_name":"Auroux","first_name":"Sébastien","full_name":"Auroux, Sébastien","id":"42575"},{"full_name":"Scholz, S.","last_name":"Scholz","first_name":"S."},{"id":"126","last_name":"Karl","first_name":"Holger","full_name":"Karl, Holger"}],"title":"Assessing Genetic Algorithms for Placing Flow Processing-aware Control Applications","year":"2017","status":"public","user_id":"126","ddc":["004"],"_id":"983","main_file_link":[{"url":"http://ieeexplore.ieee.org/document/8011315/"}]},{"abstract":[{"text":"In order to improve the credibility of modern simulation tools, uncertainties of different kinds have to be considered. This work is focused on epistemic uncertainties in the framework of continuum mechanics, which are taken into account by fuzzy analysis. The underlying min-max optimization problem of the extension principle is approximated by α-discretization, resulting in a separation of minimum and maximum problems. To become more universal, so-called quantities of interest are employed, which allow a general formulation for the target problem of interest. In this way, the relation to parameter identification problems based on least-squares functions is highlighted. The solutions of the related optimization problems with simple constraints are obtained with a gradient-based scheme, which is derived from a sensitvity analysis for the target problem by means of a variational formulation. Two numerical examples for the fuzzy analysis of material parameters are concerned with a necking problem at large strain elastoplasticity and a perforated strip at large strain hyperelasticity to demonstrate the versatility of the proposed variational formulation. ","lang":"eng"}],"publication":"Mathematics and Mechanics of complex systems","issue":"3-4","department":[{"_id":"154"}],"keyword":["fuzzy analysis","α-level optimization","quantities of interest","optimization with simple constraints","large strain elasticity","large strain elastoplasticity"],"type":"journal_article","date_created":"2019-05-20T11:36:47Z","intvolume":"         5","date_updated":"2019-05-27T12:54:35Z","publication_status":"published","publication_identifier":{"issn":[" 2325-3444"]},"author":[{"full_name":"Mahnken, Rolf","first_name":"Rolf","last_name":"Mahnken"}],"year":"2017","title":"\"A variational formulation for fuzzy analysis in continuum mechanics\"","language":[{"iso":"eng"}],"main_file_link":[{"url":"https://msp.org/memocs/2017/5-3/memocs-v5-n3-p03-s.pdf","open_access":"1"}],"citation":{"bibtex":"@article{Mahnken_2017, title={“A variational formulation for fuzzy analysis in continuum mechanics”}, volume={5}, number={3–4}, journal={Mathematics and Mechanics of complex systems}, author={Mahnken, Rolf}, year={2017} }","ama":"Mahnken R. “A variational formulation for fuzzy analysis in continuum mechanics.” <i>Mathematics and Mechanics of complex systems</i>. 2017;5(3-4).","mla":"Mahnken, Rolf. “‘A Variational Formulation for Fuzzy Analysis in Continuum Mechanics.’” <i>Mathematics and Mechanics of Complex Systems</i>, vol. 5, no. 3–4, 2017.","chicago":"Mahnken, Rolf. “‘A Variational Formulation for Fuzzy Analysis in Continuum Mechanics.’” <i>Mathematics and Mechanics of Complex Systems</i> 5, no. 3–4 (2017).","short":"R. Mahnken, Mathematics and Mechanics of Complex Systems 5 (2017).","ieee":"R. Mahnken, “‘A variational formulation for fuzzy analysis in continuum mechanics,’” <i>Mathematics and Mechanics of complex systems</i>, vol. 5, no. 3–4, 2017.","apa":"Mahnken, R. (2017). “A variational formulation for fuzzy analysis in continuum mechanics.” <i>Mathematics and Mechanics of Complex Systems</i>, <i>5</i>(3–4)."},"oa":"1","status":"public","volume":5,"user_id":"78813","_id":"9862"},{"doi":"10.1177/1748006X17709376","user_id":"55222","volume":"Vol. 231(4)","page":"390 - 399","language":[{"iso":"eng"}],"_id":"9976","date_updated":"2019-09-16T10:20:49Z","year":"2017","status":"public","title":"Formulation of reliability-related objective functions for design of intelligent mechatronic systems","author":[{"id":"14802","full_name":"Kaul, Thorben","last_name":"Kaul","first_name":"Thorben"},{"last_name":"Meyer","first_name":"Tobias","full_name":"Meyer, Tobias"},{"last_name":"Sextro","first_name":"Walter","full_name":"Sextro, Walter","id":"21220"}],"type":"journal_article","keyword":["Integrated model","reliability","system behavior","Bayesian network","multiobjective optimization"],"department":[{"_id":"151"}],"date_created":"2019-05-27T09:37:46Z","abstract":[{"text":"State-of-the-art mechatronic systems offer inherent intelligence that enables them to autonomously adapt their behavior to current environmental conditions and to their own system state. This autonomous behavior adaptation is made possible by software in combination with complex sensor and actuator systems and by sophisticated information processing, all of which make these systems increasingly complex. This increasing complexity makes the design process a challenging task and brings new complex possibilities for operation and maintenance. However, with the risk of increased system complexity also comes the chance to adapt system behavior based on current reliability, which in turn increases reliability. The development of such an adaption strategy requires appropriate methods to evaluate reliability based on currently selected system behavior. A common approach to implement such adaptivity is to base system behavior on different working points that are obtained using multiobjective optimization. During operation, selection among these allows a changed operating strategy. To allow for multiobjective optimization, an accurate system model including system reliability is required. This model is repeatedly evaluated by the optimization algorithm. At present, modeling of system reliability and synchronization of the models of behavior and reliability is a laborious manual task and thus very error-prone. Since system behavior is crucial for system reliability, an integrated model is introduced that integrates system behavior and system reliability. The proposed approach is used to formulate reliability-related objective functions for a clutch test rig that are used to compute feasible working points using multiobjective optimization.","lang":"eng"}],"quality_controlled":"1","publication":"SAGE Journals","citation":{"mla":"Kaul, Thorben, et al. “Formulation of Reliability-Related Objective Functions for Design of Intelligent Mechatronic Systems.” <i>SAGE Journals</i>, vol. Vol. 231(4), 2017, pp. 390–99, doi:<a href=\"https://doi.org/10.1177/1748006X17709376\">10.1177/1748006X17709376</a>.","bibtex":"@article{Kaul_Meyer_Sextro_2017, title={Formulation of reliability-related objective functions for design of intelligent mechatronic systems}, volume={Vol. 231(4)}, DOI={<a href=\"https://doi.org/10.1177/1748006X17709376\">10.1177/1748006X17709376</a>}, journal={SAGE Journals}, author={Kaul, Thorben and Meyer, Tobias and Sextro, Walter}, year={2017}, pages={390–399} }","ama":"Kaul T, Meyer T, Sextro W. Formulation of reliability-related objective functions for design of intelligent mechatronic systems. <i>SAGE Journals</i>. 2017;Vol. 231(4):390-399. doi:<a href=\"https://doi.org/10.1177/1748006X17709376\">10.1177/1748006X17709376</a>","ieee":"T. Kaul, T. Meyer, and W. Sextro, “Formulation of reliability-related objective functions for design of intelligent mechatronic systems,” <i>SAGE Journals</i>, vol. Vol. 231(4), pp. 390–399, 2017.","apa":"Kaul, T., Meyer, T., &#38; Sextro, W. (2017). Formulation of reliability-related objective functions for design of intelligent mechatronic systems. <i>SAGE Journals</i>, <i>Vol. 231(4)</i>, 390–399. <a href=\"https://doi.org/10.1177/1748006X17709376\">https://doi.org/10.1177/1748006X17709376</a>","chicago":"Kaul, Thorben, Tobias Meyer, and Walter Sextro. “Formulation of Reliability-Related Objective Functions for Design of Intelligent Mechatronic Systems.” <i>SAGE Journals</i> Vol. 231(4) (2017): 390–99. <a href=\"https://doi.org/10.1177/1748006X17709376\">https://doi.org/10.1177/1748006X17709376</a>.","short":"T. Kaul, T. Meyer, W. Sextro, SAGE Journals Vol. 231(4) (2017) 390–399."}},{"publication":"Proceedings of the 12th International Symposium on Automotive Lighting 2017","citation":{"ama":"Schulze S, Sextro W, Kister K. Model based optimization of dynamics in adaptive headlamps. In: <i>Proceedings of the 12th International Symposium on Automotive Lighting 2017</i>. ; 2017.","bibtex":"@inproceedings{Schulze_Sextro_Kister_2017, title={Model based optimization of dynamics in adaptive headlamps}, booktitle={Proceedings of the 12th International Symposium on Automotive Lighting 2017}, author={Schulze, Sebastian and Sextro, Walter and Kister, K.}, year={2017} }","mla":"Schulze, Sebastian, et al. “Model Based Optimization of Dynamics in Adaptive Headlamps.” <i>Proceedings of the 12th International Symposium on Automotive Lighting 2017</i>, 2017.","short":"S. Schulze, W. Sextro, K. Kister, in: Proceedings of the 12th International Symposium on Automotive Lighting 2017, 2017.","chicago":"Schulze, Sebastian, Walter Sextro, and K. Kister. “Model Based Optimization of Dynamics in Adaptive Headlamps.” In <i>Proceedings of the 12th International Symposium on Automotive Lighting 2017</i>, 2017.","apa":"Schulze, S., Sextro, W., &#38; Kister, K. (2017). Model based optimization of dynamics in adaptive headlamps. In <i>Proceedings of the 12th International Symposium on Automotive Lighting 2017</i>.","ieee":"S. Schulze, W. Sextro, and K. Kister, “Model based optimization of dynamics in adaptive headlamps,” in <i>Proceedings of the 12th International Symposium on Automotive Lighting 2017</i>, 2017."},"type":"conference","department":[{"_id":"151"}],"date_created":"2019-05-27T09:50:09Z","date_updated":"2019-05-27T09:52:17Z","status":"public","year":"2017","title":"Model based optimization of dynamics in adaptive headlamps","author":[{"first_name":"Sebastian","last_name":"Schulze","full_name":"Schulze, Sebastian"},{"id":"21220","full_name":"Sextro, Walter","last_name":"Sextro","first_name":"Walter"},{"first_name":"K.","last_name":"Kister","full_name":"Kister, K."}],"user_id":"55222","language":[{"iso":"eng"}],"_id":"9983"},{"language":[{"iso":"eng"}],"_id":"65","user_id":"477","ddc":["040"],"doi":"10.1109/ASAP.2017.7995272","title":"reMinMin: A Novel Static Energy-Centric List Scheduling Approach Based on Real Measurements","status":"public","year":"2017","author":[{"full_name":"Lösch, Achim","last_name":"Lösch","first_name":"Achim","id":"43646"},{"first_name":"Marco","last_name":"Platzner","full_name":"Platzner, Marco","id":"398"}],"date_updated":"2022-01-06T07:03:08Z","has_accepted_license":"1","file":[{"creator":"aloesch","date_created":"2018-11-14T09:37:55Z","file_name":"loesch_asap2017.pdf","access_level":"closed","file_size":467545,"relation":"main_file","date_updated":"2018-11-14T09:37:55Z","file_id":"5550","content_type":"application/pdf","success":1}],"date_created":"2017-10-17T12:41:04Z","type":"conference","department":[{"_id":"78"}],"file_date_updated":"2018-11-14T09:37:55Z","publication":"Proceedings of the 28th Annual IEEE International Conference on Application-specific Systems, Architectures and Processors (ASAP)","citation":{"mla":"Lösch, Achim, and Marco Platzner. “ReMinMin: A Novel Static Energy-Centric List Scheduling Approach Based on Real Measurements.” <i>Proceedings of the 28th Annual IEEE International Conference on Application-Specific Systems, Architectures and Processors (ASAP)</i>, 2017, doi:<a href=\"https://doi.org/10.1109/ASAP.2017.7995272\">10.1109/ASAP.2017.7995272</a>.","ama":"Lösch A, Platzner M. reMinMin: A Novel Static Energy-Centric List Scheduling Approach Based on Real Measurements. In: <i>Proceedings of the 28th Annual IEEE International Conference on Application-Specific Systems, Architectures and Processors (ASAP)</i>. ; 2017. doi:<a href=\"https://doi.org/10.1109/ASAP.2017.7995272\">10.1109/ASAP.2017.7995272</a>","bibtex":"@inproceedings{Lösch_Platzner_2017, title={reMinMin: A Novel Static Energy-Centric List Scheduling Approach Based on Real Measurements}, DOI={<a href=\"https://doi.org/10.1109/ASAP.2017.7995272\">10.1109/ASAP.2017.7995272</a>}, booktitle={Proceedings of the 28th Annual IEEE International Conference on Application-specific Systems, Architectures and Processors (ASAP)}, author={Lösch, Achim and Platzner, Marco}, year={2017} }","apa":"Lösch, A., &#38; Platzner, M. (2017). reMinMin: A Novel Static Energy-Centric List Scheduling Approach Based on Real Measurements. In <i>Proceedings of the 28th Annual IEEE International Conference on Application-specific Systems, Architectures and Processors (ASAP)</i>. <a href=\"https://doi.org/10.1109/ASAP.2017.7995272\">https://doi.org/10.1109/ASAP.2017.7995272</a>","ieee":"A. Lösch and M. Platzner, “reMinMin: A Novel Static Energy-Centric List Scheduling Approach Based on Real Measurements,” in <i>Proceedings of the 28th Annual IEEE International Conference on Application-specific Systems, Architectures and Processors (ASAP)</i>, 2017.","chicago":"Lösch, Achim, and Marco Platzner. “ReMinMin: A Novel Static Energy-Centric List Scheduling Approach Based on Real Measurements.” In <i>Proceedings of the 28th Annual IEEE International Conference on Application-Specific Systems, Architectures and Processors (ASAP)</i>, 2017. <a href=\"https://doi.org/10.1109/ASAP.2017.7995272\">https://doi.org/10.1109/ASAP.2017.7995272</a>.","short":"A. Lösch, M. Platzner, in: Proceedings of the 28th Annual IEEE International Conference on Application-Specific Systems, Architectures and Processors (ASAP), 2017."},"abstract":[{"text":"Heterogeneous compute nodes in form of CPUs with attached GPU and FPGA accelerators have strongly gained interested in the last years. Applications differ in their execution characteristics and can therefore benefit from such heterogeneous resources in terms of performance or energy consumption. While performance optimization has been the only goal for a long time, nowadays research is more and more focusing on techniques to minimize energy consumption due to rising electricity costs.This paper presents reMinMin, a novel static list scheduling approach for optimizing the total energy consumption for a set of tasks executed on a heterogeneous compute node. reMinMin bases on a new energy model that differentiates between static and dynamic energy components and covers effects of accelerator tasks on the host CPU. The required energy values are retrieved by measurements on the real computing system. In order to evaluate reMinMin, we compare it with two reference implementations on three task sets with different degrees of heterogeneity. In our experiments, MinMin is consistently better than a scheduler optimizing for dynamic energy only, which requires up to 19.43% more energy, and very close to optimal schedules.","lang":"eng"}],"project":[{"name":"SFB 901","_id":"1"},{"name":"SFB 901 - Subprojekt C2","_id":"14"},{"name":"SFB 901 - Project Area C","_id":"4"}]},{"citation":{"apa":"Jäger, A., Johannesmann, S., Claes, L., Webersen, M., Henning, B., &#38; Kupnik, M. (2017). Evaluating the Influence of 3D-Printing Parameters on Acoustic Material Properties. In <i>2017 IEEE IUS~Proceedings</i>.","ieee":"A. Jäger, S. Johannesmann, L. Claes, M. Webersen, B. Henning, and M. Kupnik, “Evaluating the Influence of 3D-Printing Parameters on Acoustic Material Properties,” in <i>2017 IEEE IUS~Proceedings</i>, 2017.","chicago":"Jäger, Axel, Sarah Johannesmann, Leander Claes, Manuel Webersen, Bernd Henning, and Mario Kupnik. “Evaluating the Influence of 3D-Printing Parameters on Acoustic Material Properties.” In <i>2017 IEEE IUS~Proceedings</i>, 2017.","short":"A. Jäger, S. Johannesmann, L. Claes, M. Webersen, B. Henning, M. Kupnik, in: 2017 IEEE IUS~Proceedings, 2017.","mla":"Jäger, Axel, et al. “Evaluating the Influence of 3D-Printing Parameters on Acoustic Material Properties.” <i>2017 IEEE IUS~Proceedings</i>, 2017.","ama":"Jäger A, Johannesmann S, Claes L, Webersen M, Henning B, Kupnik M. Evaluating the Influence of 3D-Printing Parameters on Acoustic Material Properties. In: <i>2017 IEEE IUS~Proceedings</i>. ; 2017.","bibtex":"@inproceedings{Jäger_Johannesmann_Claes_Webersen_Henning_Kupnik_2017, title={Evaluating the Influence of 3D-Printing Parameters on Acoustic Material Properties}, booktitle={2017 IEEE IUS~Proceedings}, author={Jäger, Axel and Johannesmann, Sarah and Claes, Leander and Webersen, Manuel and Henning, Bernd and Kupnik, Mario}, year={2017} }"},"publication":"2017 IEEE IUS~Proceedings","department":[{"_id":"49"}],"type":"conference","date_created":"2019-01-09T14:37:13Z","date_updated":"2022-01-06T07:03:12Z","author":[{"full_name":"Jäger, Axel","first_name":"Axel","last_name":"Jäger"},{"id":"29190","full_name":"Johannesmann, Sarah","last_name":"Johannesmann","first_name":"Sarah"},{"full_name":"Claes, Leander","orcid":"0000-0002-4393-268X","first_name":"Leander","last_name":"Claes","id":"11829"},{"last_name":"Webersen","orcid":"0000-0001-6411-4232","first_name":"Manuel","full_name":"Webersen, Manuel","id":"11289"},{"full_name":"Henning, Bernd","last_name":"Henning","first_name":"Bernd","id":"213"},{"last_name":"Kupnik","first_name":"Mario","full_name":"Kupnik, Mario"}],"title":"Evaluating the Influence of 3D-Printing Parameters on Acoustic Material Properties","status":"public","year":"2017","user_id":"11829","_id":"6565","language":[{"iso":"eng"}]},{"date_created":"2019-01-14T08:40:37Z","place":"Hamburg","type":"conference","department":[{"_id":"53"}],"publication":"VDE-Proceedings of NEIS 2017 – Conference on Sustainable Energy Supply and Energy Storage Systems by IEEE-PES. Hamburg (Deutschland), 21.–22. September, 2017.","citation":{"bibtex":"@inproceedings{Krauter_2017, place={Hamburg}, title={Comparison of Conversion Efficiencies and Energy Yields of Micro-Inverters for Photovoltaic Modules}, booktitle={VDE-Proceedings of NEIS 2017 – Conference on Sustainable Energy Supply and Energy Storage Systems by IEEE-PES. Hamburg (Deutschland), 21.–22. September, 2017.}, author={Krauter, Stefan}, year={2017} }","ama":"Krauter S. Comparison of Conversion Efficiencies and Energy Yields of Micro-Inverters for Photovoltaic Modules. In: <i>VDE-Proceedings of NEIS 2017 – Conference on Sustainable Energy Supply and Energy Storage Systems by IEEE-PES. Hamburg (Deutschland), 21.–22. September, 2017.</i> Hamburg; 2017.","mla":"Krauter, Stefan. “Comparison of Conversion Efficiencies and Energy Yields of Micro-Inverters for Photovoltaic Modules.” <i>VDE-Proceedings of NEIS 2017 – Conference on Sustainable Energy Supply and Energy Storage Systems by IEEE-PES. Hamburg (Deutschland), 21.–22. September, 2017.</i>, 2017.","short":"S. Krauter, in: VDE-Proceedings of NEIS 2017 – Conference on Sustainable Energy Supply and Energy Storage Systems by IEEE-PES. Hamburg (Deutschland), 21.–22. September, 2017., Hamburg, 2017.","chicago":"Krauter, Stefan. “Comparison of Conversion Efficiencies and Energy Yields of Micro-Inverters for Photovoltaic Modules.” In <i>VDE-Proceedings of NEIS 2017 – Conference on Sustainable Energy Supply and Energy Storage Systems by IEEE-PES. Hamburg (Deutschland), 21.–22. September, 2017.</i> Hamburg, 2017.","ieee":"S. Krauter, “Comparison of Conversion Efficiencies and Energy Yields of Micro-Inverters for Photovoltaic Modules,” in <i>VDE-Proceedings of NEIS 2017 – Conference on Sustainable Energy Supply and Energy Storage Systems by IEEE-PES. Hamburg (Deutschland), 21.–22. September, 2017.</i>, Hamburg, 2017.","apa":"Krauter, S. (2017). Comparison of Conversion Efficiencies and Energy Yields of Micro-Inverters for Photovoltaic Modules. In <i>VDE-Proceedings of NEIS 2017 – Conference on Sustainable Energy Supply and Energy Storage Systems by IEEE-PES. Hamburg (Deutschland), 21.–22. September, 2017.</i> Hamburg."},"language":[{"iso":"eng"}],"_id":"6638","user_id":"16148","title":"Comparison of Conversion Efficiencies and Energy Yields of Micro-Inverters for Photovoltaic Modules","year":"2017","status":"public","author":[{"full_name":"Krauter, Stefan","first_name":"Stefan","last_name":"Krauter","orcid":"0000-0002-3594-260X","id":"28836"}],"conference":{"start_date":"2017-11-21","name":"NEIS 2017 – Conference on Sustainable Energy Supply and Energy Storage Systems by IEEE-PES","location":"Hamburg","end_date":"2017-11-22"},"date_updated":"2022-01-06T07:03:13Z"},{"publication":"VDE-Proceedings of NEIS 2017 – Conference on Sustainable Energy Supply and Energy Storage Systems by IEEE-PES. Hamburg (Deutschland), 21.–22. September, 2017.","citation":{"ieee":"S. Krauter and A. Ameli, “Smart Charging Management System of Plugged-in EVs for Optimal Operation of Future Power Systems.,” in <i>VDE-Proceedings of NEIS 2017 – Conference on Sustainable Energy Supply and Energy Storage Systems by IEEE-PES. Hamburg (Deutschland), 21.–22. September, 2017.</i>, Hamburg, 2017.","apa":"Krauter, S., &#38; Ameli, A. (2017). Smart Charging Management System of Plugged-in EVs for Optimal Operation of Future Power Systems. In <i>VDE-Proceedings of NEIS 2017 – Conference on Sustainable Energy Supply and Energy Storage Systems by IEEE-PES. Hamburg (Deutschland), 21.–22. September, 2017.</i> Hamburg.","chicago":"Krauter, Stefan, and Ali Ameli. “Smart Charging Management System of Plugged-in EVs for Optimal Operation of Future Power Systems.” In <i>VDE-Proceedings of NEIS 2017 – Conference on Sustainable Energy Supply and Energy Storage Systems by IEEE-PES. Hamburg (Deutschland), 21.–22. September, 2017.</i> Hamburg, 2017.","short":"S. Krauter, A. Ameli, in: VDE-Proceedings of NEIS 2017 – Conference on Sustainable Energy Supply and Energy Storage Systems by IEEE-PES. Hamburg (Deutschland), 21.–22. September, 2017., Hamburg, 2017.","mla":"Krauter, Stefan, and Ali Ameli. “Smart Charging Management System of Plugged-in EVs for Optimal Operation of Future Power Systems.” <i>VDE-Proceedings of NEIS 2017 – Conference on Sustainable Energy Supply and Energy Storage Systems by IEEE-PES. Hamburg (Deutschland), 21.–22. September, 2017.</i>, 2017.","bibtex":"@inproceedings{Krauter_Ameli_2017, place={Hamburg}, title={Smart Charging Management System of Plugged-in EVs for Optimal Operation of Future Power Systems.}, booktitle={VDE-Proceedings of NEIS 2017 – Conference on Sustainable Energy Supply and Energy Storage Systems by IEEE-PES. Hamburg (Deutschland), 21.–22. September, 2017.}, author={Krauter, Stefan and Ameli, Ali}, year={2017} }","ama":"Krauter S, Ameli A. Smart Charging Management System of Plugged-in EVs for Optimal Operation of Future Power Systems. In: <i>VDE-Proceedings of NEIS 2017 – Conference on Sustainable Energy Supply and Energy Storage Systems by IEEE-PES. Hamburg (Deutschland), 21.–22. September, 2017.</i> Hamburg; 2017."},"type":"conference","department":[{"_id":"53"}],"place":"Hamburg","date_created":"2019-01-14T08:46:02Z","date_updated":"2022-01-06T07:03:13Z","year":"2017","status":"public","title":"Smart Charging Management System of Plugged-in EVs for Optimal Operation of Future Power Systems.","conference":{"end_date":"2017-09-22","name":"NEIS 2017 – Conference on Sustainable Energy Supply and Energy Storage Systems by IEEE-PES","start_date":"2017-09-21","location":"Hamburg"},"author":[{"id":"28836","orcid":"0000-0002-3594-260X","first_name":"Stefan","last_name":"Krauter","full_name":"Krauter, Stefan"},{"first_name":"Ali","last_name":"Ameli","full_name":"Ameli, Ali"}],"user_id":"16148","_id":"6639","language":[{"iso":"eng"}]},{"status":"public","has_accepted_license":"1","_id":"10594","ddc":["510"],"user_id":"47427","citation":{"apa":"Peitz, S. (2017). <i>  Exploiting structure in multiobjective optimization and optimal control</i>. <a href=\"https://doi.org/10.17619/UNIPB/1-176\">https://doi.org/10.17619/UNIPB/1-176</a>","ieee":"S. Peitz, <i>  Exploiting structure in multiobjective optimization and optimal control</i>. 2017.","chicago":"Peitz, Sebastian. <i>  Exploiting Structure in Multiobjective Optimization and Optimal Control</i>, 2017. <a href=\"https://doi.org/10.17619/UNIPB/1-176\">https://doi.org/10.17619/UNIPB/1-176</a>.","short":"S. Peitz,   Exploiting Structure in Multiobjective Optimization and Optimal Control, 2017.","mla":"Peitz, Sebastian. <i>  Exploiting Structure in Multiobjective Optimization and Optimal Control</i>. 2017, doi:<a href=\"https://doi.org/10.17619/UNIPB/1-176\">10.17619/UNIPB/1-176</a>.","ama":"Peitz S. <i>  Exploiting Structure in Multiobjective Optimization and Optimal Control</i>.; 2017. doi:<a href=\"https://doi.org/10.17619/UNIPB/1-176\">10.17619/UNIPB/1-176</a>","bibtex":"@book{Peitz_2017, title={  Exploiting structure in multiobjective optimization and optimal control}, DOI={<a href=\"https://doi.org/10.17619/UNIPB/1-176\">10.17619/UNIPB/1-176</a>}, author={Peitz, Sebastian}, year={2017} }"},"file_date_updated":"2020-03-13T12:52:50Z","project":[{"name":"Computing Resources Provided by the Paderborn Center for Parallel Computing","_id":"52"}],"oa":"1","author":[{"last_name":"Peitz","orcid":"https://orcid.org/0000-0002-3389-793X","first_name":"Sebastian","full_name":"Peitz, Sebastian","id":"47427"}],"year":"2017","title":" \tExploiting structure in multiobjective optimization and optimal control","date_updated":"2022-01-06T06:50:46Z","publication_status":"published","language":[{"iso":"eng"}],"main_file_link":[{"url":"https://d-nb.info/1139356542/34","open_access":"1"}],"doi":"10.17619/UNIPB/1-176","abstract":[{"lang":"eng","text":"Multiobjective optimization plays an increasingly important role in modern applications, where several criteria are often of equal importance. The task in multiobjective optimization and multiobjective optimal control is therefore to compute\r\nthe set of optimal compromises (the Pareto set) between the conflicting objectives.\r\n\r\nSince – in contrast to the solution of a single objective optimization problem – the\r\nPareto set generally consists of an infinite number of solutions, the computational\r\neffort can quickly become challenging. This is even more the case when many problems have to be solved, when the number of objectives is high, or when the objectives\r\nare costly to evaluate. Consequently, this thesis is devoted to the identification and\r\nexploitation of structure both in the Pareto set and the dynamics of the underlying\r\nmodel as well as to the development of efficient algorithms for solving problems with\r\nadditional parameters, with a high number of objectives or with PDE-constraints.\r\nThese three challenges are addressed in three respective parts.\r\n\r\nIn the first part, predictor-corrector methods are extended to entire Pareto sets.\r\nWhen certain smoothness assumptions are satisfied, then the set of parameter dependent Pareto sets possesses additional structure, i.e. it is a manifold. The tangent\r\nspace can be approximated numerically which yields a direction for the predictor\r\nstep. In the corrector step, the predicted set converges to the Pareto set at a new\r\nparameter value. The resulting algorithm is applied to an example from autonomous\r\ndriving.\r\n\r\nIn the second part, the hierarchical structure of Pareto sets is investigated. When\r\nconsidering a subset of the objectives, the resulting solution is a subset of the Pareto\r\nset of the original problem. Under additional smoothness assumptions, the respective subsets are located on the boundary of the Pareto set of the full problem. This\r\nway, the “skeleton” of a Pareto set can be computed and due to the exponential\r\nincrease in computing time with the number of objectives, the computations of\r\nthese subsets are significantly faster which is demonstrated using an example from\r\nindustrial laundries.\r\n\r\nIn the third part, PDE-constrained multiobjective optimal control problems are\r\naddressed by reduced order modeling methods. Reduced order models exploit the\r\nstructure in the system dynamics, for example by describing the dynamics of only the\r\nmost energetic modes. The model reduction introduces an error in both the function values and their gradients, which has to be taken into account in the development of\r\nalgorithms. Both scalarization and set-oriented approaches are coupled with reduced\r\norder modeling. Convergence results are presented and the numerical benefit is\r\ninvestigated. The algorithms are applied to semi-linear heat flow problems as well\r\nas to the Navier-Stokes equations.\r\n"}],"date_created":"2019-07-10T08:12:22Z","file":[{"creator":"speitz","date_created":"2020-03-13T12:52:50Z","access_level":"closed","file_size":16636801,"file_name":"Dissertation_Peitz.pdf","date_updated":"2020-03-13T12:52:50Z","relation":"main_file","success":1,"content_type":"application/pdf","file_id":"16298"}],"department":[{"_id":"101"}],"type":"dissertation"}]