[{"has_accepted_license":"1","date_updated":"2022-01-06T06:53:02Z","author":[{"first_name":"Guido","last_name":"Schryen","full_name":"Schryen, Guido","id":"72850"},{"full_name":"Wagner, Gerit","last_name":"Wagner","first_name":"Gerit"},{"full_name":"Benlian, Alexander","first_name":"Alexander","last_name":"Benlian"}],"title":"Distinguishing Knowledge Impact from Citation Impact: A Methodology for Analysing Knowledge Impact for the Literature Review Genre","status":"public","year":"2020","user_id":"61579","ddc":["000"],"language":[{"iso":"eng"}],"_id":"17019","main_file_link":[{"url":"https://ssrn.com/abstract=3581789","open_access":"1"}],"abstract":[{"lang":"eng","text":"The scientific impact of research papers is multi-dimensional and can be determined quantitatively by means of citation analysis and qualitatively by means of content analysis. Accounting for the widely acknowledged limitations of pure citation analysis, we adopt a knowledge-based perspective on scientific impact to develop a methodology for content-based citation analysis which allows determining how papers have enabled knowledge development in subsequent research (knowledge impact). As knowledge development differs between research genres, we develop a new knowledgebased citation analysis methodology for the genre of standalone literature reviews (LRs). We apply the suggested methodology to the IS business value domain by manually coding 22 LRs and 1,228 citing papers (CPs) and show that the results challenge the assumption that citations indicate knowledge impact. We derive implications for distinguishing knowledge impact from citation impact in the LR genre. Finally, we develop recommendations for authors of LRs, scientific evaluation committees and editorial boards of journals how to apply and benefit from the suggested methodology, and we discuss its efficiency and automatization."}],"citation":{"ieee":"G. Schryen, G. Wagner, and A. Benlian, Distinguishing Knowledge Impact from Citation Impact: A Methodology for Analysing Knowledge Impact for the Literature Review Genre. 2020.","apa":"Schryen, G., Wagner, G., & Benlian, A. (2020). Distinguishing Knowledge Impact from Citation Impact: A Methodology for Analysing Knowledge Impact for the Literature Review Genre.","chicago":"Schryen, Guido, Gerit Wagner, and Alexander Benlian. Distinguishing Knowledge Impact from Citation Impact: A Methodology for Analysing Knowledge Impact for the Literature Review Genre, 2020.","short":"G. Schryen, G. Wagner, A. Benlian, Distinguishing Knowledge Impact from Citation Impact: A Methodology for Analysing Knowledge Impact for the Literature Review Genre, 2020.","mla":"Schryen, Guido, et al. Distinguishing Knowledge Impact from Citation Impact: A Methodology for Analysing Knowledge Impact for the Literature Review Genre. 2020.","bibtex":"@book{Schryen_Wagner_Benlian_2020, title={Distinguishing Knowledge Impact from Citation Impact: A Methodology for Analysing Knowledge Impact for the Literature Review Genre}, author={Schryen, Guido and Wagner, Gerit and Benlian, Alexander}, year={2020} }","ama":"Schryen G, Wagner G, Benlian A. Distinguishing Knowledge Impact from Citation Impact: A Methodology for Analysing Knowledge Impact for the Literature Review Genre.; 2020."},"file_date_updated":"2020-05-19T15:09:28Z","department":[{"_id":"277"}],"oa":"1","keyword":["Scientific impact","knowledge impact","content-based citation analysis","methodology"],"type":"working_paper","date_created":"2020-05-19T15:12:33Z","file":[{"file_size":487351,"access_level":"open_access","file_name":"SSRN-id3581789.pdf","date_updated":"2020-05-19T15:09:28Z","relation":"main_file","content_type":"application/pdf","file_id":"17020","creator":"hsiemes","date_created":"2020-05-19T15:09:28Z"}]},{"conference":{"location":"Melbourne, Australia","name":"2020 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID)"},"status":"public","_id":"17082","publisher":"IEEE Computer Society","user_id":"63288","ddc":["000"],"citation":{"ama":"Hasnain A, Karl H. Coflow Scheduling with Performance Guarantees for Data Center Applications. In: 2020 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID). IEEE Computer Society; 2020. doi:https://doi.org/10.1109/CCGrid49817.2020.00010","bibtex":"@inproceedings{Hasnain_Karl_2020, title={Coflow Scheduling with Performance Guarantees for Data Center Applications}, DOI={https://doi.org/10.1109/CCGrid49817.2020.00010}, booktitle={2020 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID)}, publisher={IEEE Computer Society}, author={Hasnain, Asif and Karl, Holger}, year={2020} }","mla":"Hasnain, Asif, and Holger Karl. “Coflow Scheduling with Performance Guarantees for Data Center Applications.” 2020 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID), IEEE Computer Society, 2020, doi:https://doi.org/10.1109/CCGrid49817.2020.00010.","short":"A. Hasnain, H. Karl, in: 2020 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID), IEEE Computer Society, 2020.","chicago":"Hasnain, Asif, and Holger Karl. “Coflow Scheduling with Performance Guarantees for Data Center Applications.” In 2020 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID). IEEE Computer Society, 2020. https://doi.org/10.1109/CCGrid49817.2020.00010.","apa":"Hasnain, A., & Karl, H. (2020). Coflow Scheduling with Performance Guarantees for Data Center Applications. In 2020 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID). Melbourne, Australia: IEEE Computer Society. https://doi.org/10.1109/CCGrid49817.2020.00010","ieee":"A. Hasnain and H. Karl, “Coflow Scheduling with Performance Guarantees for Data Center Applications,” in 2020 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID), Melbourne, Australia, 2020."},"project":[{"name":"SFB 901 - Project Area C","_id":"4"},{"name":"SFB 901 - Subproject C4","_id":"16"},{"_id":"1","name":"SFB 901"}],"author":[{"first_name":"Asif","last_name":"Hasnain","full_name":"Hasnain, Asif","id":"63288"},{"first_name":"Holger","last_name":"Karl","full_name":"Karl, Holger","id":"126"}],"title":"Coflow Scheduling with Performance Guarantees for Data Center Applications","year":"2020","publication_status":"published","date_updated":"2022-01-06T06:53:04Z","language":[{"iso":"eng"}],"main_file_link":[{"url":"https://ieeexplore.ieee.org/abstract/document/9139642"}],"doi":"https://doi.org/10.1109/CCGrid49817.2020.00010","publication":"2020 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID)","abstract":[{"lang":"eng","text":"Data-parallel applications run on cluster of servers in a datacenter and their communication triggers correlated resource demand on multiple links that can be abstracted as coflow. They often desire predictable network performance, which can be passed to network via coflow abstraction for application-aware network scheduling. In this paper, we propose a heuristic and an optimization algorithm for predictable network performance such that they guarantee coflows completion within their deadlines. The algorithms also ensure high network utilization, i.e., it's work-conserving, and avoids starvation of coflows. We evaluate both algorithms via trace-driven simulation and show that they admit 1.1x more coflows than the Varys scheme while meeting their deadlines."}],"date_created":"2020-06-06T07:40:45Z","department":[{"_id":"75"}],"type":"conference","keyword":["Coflow","Scheduling","Deadlines","Data centers"]},{"language":[{"iso":"eng"}],"doi":"10.1080/0305215x.2019.1617286","title":"Pareto Explorer: a global/local exploration tool for many-objective optimization problems","year":"2020","publication_identifier":{"issn":["0305-215X","1029-0273"]},"author":[{"first_name":"Oliver","last_name":"Schütze","full_name":"Schütze, Oliver"},{"last_name":"Cuate","first_name":"Oliver","full_name":"Cuate, Oliver"},{"last_name":"Martín","first_name":"Adanay","full_name":"Martín, Adanay"},{"id":"47427","last_name":"Peitz","first_name":"Sebastian","orcid":"https://orcid.org/0000-0002-3389-793X","full_name":"Peitz, Sebastian"},{"first_name":"Michael","last_name":"Dellnitz","full_name":"Dellnitz, Michael"}],"publication_status":"published","date_updated":"2022-01-06T06:50:46Z","article_type":"original","intvolume":" 52","date_created":"2019-07-10T08:14:39Z","type":"journal_article","department":[{"_id":"101"}],"issue":"5","publication":"Engineering Optimization","abstract":[{"lang":"eng","text":"Multi-objective optimization is an active field of research that has many applications. Owing to its success and because decision-making processes are becoming more and more complex, there is a recent trend for incorporating many objectives into such problems. The challenge with such problems, however, is that the dimensions of the solution sets—the so-called Pareto sets and fronts—grow with the number of objectives. It is thus no longer possible to compute or to approximate the entire solution set of a given problem that contains many (e.g. more than three) objectives. On the other hand, the computation of single solutions (e.g. via scalarization methods) leads to unsatisfying results in many cases, even if user preferences are incorporated. In this article, the Pareto Explorer tool is presented—a global/local exploration tool for the treatment of many-objective optimization problems (MaOPs). In the first step, a solution of the problem is computed via a global search algorithm that ideally already includes user preferences. In the second step, a local search along the Pareto set/front of the given MaOP is performed in user specified directions. For this, several continuation-like procedures are proposed that can incorporate preferences defined in decision, objective, or in weight space. The applicability and usefulness of Pareto Explorer is demonstrated on benchmark problems as well as on an application from industrial laundry design."}],"page":"832-855","_id":"10596","user_id":"47427","volume":52,"status":"public","citation":{"ieee":"O. Schütze, O. Cuate, A. Martín, S. Peitz, and M. Dellnitz, “Pareto Explorer: a global/local exploration tool for many-objective optimization problems,” Engineering Optimization, vol. 52, no. 5, pp. 832–855, 2020.","apa":"Schütze, O., Cuate, O., Martín, A., Peitz, S., & Dellnitz, M. (2020). Pareto Explorer: a global/local exploration tool for many-objective optimization problems. Engineering Optimization, 52(5), 832–855. https://doi.org/10.1080/0305215x.2019.1617286","short":"O. Schütze, O. Cuate, A. Martín, S. Peitz, M. Dellnitz, Engineering Optimization 52 (2020) 832–855.","chicago":"Schütze, Oliver, Oliver Cuate, Adanay Martín, Sebastian Peitz, and Michael Dellnitz. “Pareto Explorer: A Global/Local Exploration Tool for Many-Objective Optimization Problems.” Engineering Optimization 52, no. 5 (2020): 832–55. https://doi.org/10.1080/0305215x.2019.1617286.","mla":"Schütze, Oliver, et al. “Pareto Explorer: A Global/Local Exploration Tool for Many-Objective Optimization Problems.” Engineering Optimization, vol. 52, no. 5, 2020, pp. 832–55, doi:10.1080/0305215x.2019.1617286.","bibtex":"@article{Schütze_Cuate_Martín_Peitz_Dellnitz_2020, title={Pareto Explorer: a global/local exploration tool for many-objective optimization problems}, volume={52}, DOI={10.1080/0305215x.2019.1617286}, number={5}, journal={Engineering Optimization}, author={Schütze, Oliver and Cuate, Oliver and Martín, Adanay and Peitz, Sebastian and Dellnitz, Michael}, year={2020}, pages={832–855} }","ama":"Schütze O, Cuate O, Martín A, Peitz S, Dellnitz M. Pareto Explorer: a global/local exploration tool for many-objective optimization problems. Engineering Optimization. 2020;52(5):832-855. doi:10.1080/0305215x.2019.1617286"}},{"doi":"10.1073/pnas.1910208117","user_id":"40778","article_number":"201910208","_id":"15628","language":[{"iso":"eng"}],"date_updated":"2022-01-06T06:52:30Z","publication_status":"published","title":"Structural Elements Regulating the Photochromicity in a Cyanobacteriochrome","status":"public","year":"2020","publication_identifier":{"issn":["0027-8424","1091-6490"]},"author":[{"full_name":"Xu, Xiuling","last_name":"Xu","first_name":"Xiuling"},{"last_name":"Port","first_name":"Astrid","full_name":"Port, Astrid"},{"first_name":"Christian","last_name":"Wiebeler","full_name":"Wiebeler, Christian"},{"full_name":"Zhao, Kai-Hong","first_name":"Kai-Hong","last_name":"Zhao"},{"full_name":"Schapiro, Igor","first_name":"Igor","last_name":"Schapiro"},{"full_name":"Gärtner, Wolfgang","last_name":"Gärtner","first_name":"Wolfgang"}],"type":"journal_article","date_created":"2020-01-23T08:16:24Z","abstract":[{"text":"The three-dimensional (3D) crystal structures of the GAF3 domain of cyanobacteriochrome Slr1393 (Synechocystis PCC6803) carrying a phycocyanobilin chromophore could be solved in both 15-Z dark-adapted state, Pr, λmax = 649 nm, and 15-E photoproduct, Pg, λmax = 536 nm (resolution, 1.6 and 1.86 Å, respectively). The structural data allowed identifying the large spectral shift of the Pr-to-Pg conversion as resulting from an out-of-plane rotation of the chromophore’s peripheral rings and an outward movement of a short helix formed from a formerly unstructured loop. In addition, a third structure (2.1-Å resolution) starting from the photoproduct crystals allowed identification of elements that regulate the absorption maxima. In this peculiar form, generated during X-ray exposition, protein and chromophore conformation still resemble the photoproduct state, except for the D-ring already in 15-Z configuration and tilted out of plane akin the dark state. Due to its formation from the photoproduct, it might be considered an early conformational change initiating the parental state-recovering photocycle. The high quality and the distinct features of the three forms allowed for applying quantum-chemical calculations in the framework of multiscale modeling to rationalize the absorption maxima changes. A systematic analysis of the PCB chromophore in the presence and absence of the protein environment showed that the direct electrostatic effect is negligible on the spectral tuning. However, the protein forces the outer pyrrole rings of the chromophore to deviate from coplanarity, which is identified as the dominating factor for the color regulation.","lang":"eng"}],"project":[{"name":"Computing Resources Provided by the Paderborn Center for Parallel Computing","_id":"52"}],"publication":"Proceedings of the National Academy of Sciences","citation":{"ieee":"X. Xu, A. Port, C. Wiebeler, K.-H. Zhao, I. Schapiro, and W. Gärtner, “Structural Elements Regulating the Photochromicity in a Cyanobacteriochrome,” Proceedings of the National Academy of Sciences, 2020.","apa":"Xu, X., Port, A., Wiebeler, C., Zhao, K.-H., Schapiro, I., & Gärtner, W. (2020). Structural Elements Regulating the Photochromicity in a Cyanobacteriochrome. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1910208117","chicago":"Xu, Xiuling, Astrid Port, Christian Wiebeler, Kai-Hong Zhao, Igor Schapiro, and Wolfgang Gärtner. “Structural Elements Regulating the Photochromicity in a Cyanobacteriochrome.” Proceedings of the National Academy of Sciences, 2020. https://doi.org/10.1073/pnas.1910208117.","short":"X. Xu, A. Port, C. Wiebeler, K.-H. Zhao, I. Schapiro, W. Gärtner, Proceedings of the National Academy of Sciences (2020).","mla":"Xu, Xiuling, et al. “Structural Elements Regulating the Photochromicity in a Cyanobacteriochrome.” Proceedings of the National Academy of Sciences, 201910208, 2020, doi:10.1073/pnas.1910208117.","bibtex":"@article{Xu_Port_Wiebeler_Zhao_Schapiro_Gärtner_2020, title={Structural Elements Regulating the Photochromicity in a Cyanobacteriochrome}, DOI={10.1073/pnas.1910208117}, number={201910208}, journal={Proceedings of the National Academy of Sciences}, author={Xu, Xiuling and Port, Astrid and Wiebeler, Christian and Zhao, Kai-Hong and Schapiro, Igor and Gärtner, Wolfgang}, year={2020} }","ama":"Xu X, Port A, Wiebeler C, Zhao K-H, Schapiro I, Gärtner W. Structural Elements Regulating the Photochromicity in a Cyanobacteriochrome. Proceedings of the National Academy of Sciences. 2020. doi:10.1073/pnas.1910208117"}},{"volume":287,"ddc":["000"],"user_id":"61579","_id":"15022","publisher":"Elsevier","page":"1 - 18","has_accepted_license":"1","status":"public","oa":"1","citation":{"mla":"Schryen, Guido. “Parallel Computational Optimization in Operations Research: A New Integrative Framework, Literature Review and Research Directions.” European Journal of Operational Research, vol. 287, no. 1, Elsevier, 2020, pp. 1–18.","ama":"Schryen G. Parallel computational optimization in operations research: A new integrative framework, literature review and research directions. European Journal of Operational Research. 2020;287(1):1-18.","bibtex":"@article{Schryen_2020, title={Parallel computational optimization in operations research: A new integrative framework, literature review and research directions}, volume={287}, number={1}, journal={European Journal of Operational Research}, publisher={Elsevier}, author={Schryen, Guido}, year={2020}, pages={1–18} }","apa":"Schryen, G. (2020). Parallel computational optimization in operations research: A new integrative framework, literature review and research directions. European Journal of Operational Research, 287(1), 1–18.","ieee":"G. Schryen, “Parallel computational optimization in operations research: A new integrative framework, literature review and research directions,” European Journal of Operational Research, vol. 287, no. 1, pp. 1–18, 2020.","chicago":"Schryen, Guido. “Parallel Computational Optimization in Operations Research: A New Integrative Framework, Literature Review and Research Directions.” European Journal of Operational Research 287, no. 1 (2020): 1–18.","short":"G. Schryen, European Journal of Operational Research 287 (2020) 1–18."},"file_date_updated":"2020-03-05T10:37:02Z","language":[{"iso":"eng"}],"intvolume":" 287","date_updated":"2022-01-06T06:52:15Z","author":[{"full_name":"Schryen, Guido","last_name":"Schryen","first_name":"Guido","id":"72850"}],"title":"Parallel computational optimization in operations research: A new integrative framework, literature review and research directions","year":"2020","department":[{"_id":"277"}],"type":"journal_article","date_created":"2019-11-18T11:11:00Z","file":[{"creator":"hsiemes","date_created":"2019-11-18T11:11:56Z","file_name":"LR - OR and parallelization.pdf","file_size":832170,"access_level":"open_access","relation":"main_file","date_updated":"2020-03-05T10:37:02Z","file_id":"15023","content_type":"application/pdf"}],"issue":"1","publication":"European Journal of Operational Research"},{"doi":"10.1145/3386263.3406952","user_id":"64665","publisher":"ACM","_id":"16213","language":[{"iso":"eng"}],"page":"421-426","date_updated":"2022-01-06T06:52:45Z","publication_status":"published","conference":{"location":"Beijing, China","name":"ACM Great Lakes Symposium on VLSI (GLSVLSI) 2020"},"author":[{"full_name":"Awais, Muhammad","first_name":"Muhammad","orcid":"https://orcid.org/0000-0003-4148-2969","last_name":"Awais","id":"64665"},{"id":"61186","full_name":"Ghasemzadeh Mohammadi, Hassan","last_name":"Ghasemzadeh Mohammadi","first_name":"Hassan"},{"full_name":"Platzner, Marco","last_name":"Platzner","first_name":"Marco","id":"398"}],"title":"A Hybrid Synthesis Methodology for Approximate Circuits","year":"2020","status":"public","department":[{"_id":"78"}],"type":"conference","date_created":"2020-03-02T15:49:38Z","abstract":[{"lang":"eng","text":"Automated synthesis of approximate circuits via functional approximations is of prominent importance to provide efficiency in energy, runtime, and chip area required to execute an application. Approximate circuits are usually obtained either through analytical approximation methods leveraging approximate transformations such as bit-width scaling or via iterative search-based optimization methods when a library of approximate components, e.g., approximate adders and multipliers, is available. For the latter, exploring the extremely large design space is challenging in terms of both computations and quality of results. While the combination of both methods can create more room for further approximations, the \\textit{Design Space Exploration}~(DSE) becomes a crucial issue. In this paper, we present such a hybrid synthesis methodology that applies a low-cost analytical method followed by parallel stochastic search-based optimization. We address the DSE challenge through efficient pruning of the design space and skipping unnecessary expensive testing and/or verification steps. The experimental results reveal up to 10.57x area savings in comparison with both purely analytical or search-based approaches. "}],"citation":{"bibtex":"@inproceedings{Awais_Ghasemzadeh Mohammadi_Platzner_2020, title={A Hybrid Synthesis Methodology for Approximate Circuits}, DOI={10.1145/3386263.3406952}, booktitle={Proceedings of the 30th ACM Great Lakes Symposium on VLSI (GLSVLSI) 2020}, publisher={ACM}, author={Awais, Muhammad and Ghasemzadeh Mohammadi, Hassan and Platzner, Marco}, year={2020}, pages={421–426} }","ama":"Awais M, Ghasemzadeh Mohammadi H, Platzner M. A Hybrid Synthesis Methodology for Approximate Circuits. In: Proceedings of the 30th ACM Great Lakes Symposium on VLSI (GLSVLSI) 2020. ACM; 2020:421-426. doi:10.1145/3386263.3406952","mla":"Awais, Muhammad, et al. “A Hybrid Synthesis Methodology for Approximate Circuits.” Proceedings of the 30th ACM Great Lakes Symposium on VLSI (GLSVLSI) 2020, ACM, 2020, pp. 421–26, doi:10.1145/3386263.3406952.","short":"M. Awais, H. Ghasemzadeh Mohammadi, M. Platzner, in: Proceedings of the 30th ACM Great Lakes Symposium on VLSI (GLSVLSI) 2020, ACM, 2020, pp. 421–426.","chicago":"Awais, Muhammad, Hassan Ghasemzadeh Mohammadi, and Marco Platzner. “A Hybrid Synthesis Methodology for Approximate Circuits.” In Proceedings of the 30th ACM Great Lakes Symposium on VLSI (GLSVLSI) 2020, 421–26. ACM, 2020. https://doi.org/10.1145/3386263.3406952.","ieee":"M. Awais, H. Ghasemzadeh Mohammadi, and M. Platzner, “A Hybrid Synthesis Methodology for Approximate Circuits,” in Proceedings of the 30th ACM Great Lakes Symposium on VLSI (GLSVLSI) 2020, Beijing, China, 2020, pp. 421–426.","apa":"Awais, M., Ghasemzadeh Mohammadi, H., & Platzner, M. (2020). A Hybrid Synthesis Methodology for Approximate Circuits. In Proceedings of the 30th ACM Great Lakes Symposium on VLSI (GLSVLSI) 2020 (pp. 421–426). Beijing, China: ACM. https://doi.org/10.1145/3386263.3406952"},"publication":"Proceedings of the 30th ACM Great Lakes Symposium on VLSI (GLSVLSI) 2020"},{"citation":{"chicago":"Schneider, Stefan Balthasar, Narayanan Puthenpurayil Satheeschandran, Manuel Peuster, and Holger Karl. “Machine Learning for Dynamic Resource Allocation in Network Function Virtualization.” In IEEE Conference on Network Softwarization (NetSoft). IEEE, 2020.","short":"S.B. Schneider, N.P. Satheeschandran, M. Peuster, H. Karl, in: IEEE Conference on Network Softwarization (NetSoft), IEEE, 2020.","apa":"Schneider, S. B., Satheeschandran, N. P., Peuster, M., & Karl, H. (2020). Machine Learning for Dynamic Resource Allocation in Network Function Virtualization. In IEEE Conference on Network Softwarization (NetSoft). Ghent, Belgium: IEEE.","ieee":"S. B. Schneider, N. P. Satheeschandran, M. Peuster, and H. Karl, “Machine Learning for Dynamic Resource Allocation in Network Function Virtualization,” in IEEE Conference on Network Softwarization (NetSoft), Ghent, Belgium, 2020.","ama":"Schneider SB, Satheeschandran NP, Peuster M, Karl H. Machine Learning for Dynamic Resource Allocation in Network Function Virtualization. In: IEEE Conference on Network Softwarization (NetSoft). IEEE; 2020.","bibtex":"@inproceedings{Schneider_Satheeschandran_Peuster_Karl_2020, title={Machine Learning for Dynamic Resource Allocation in Network Function Virtualization}, booktitle={IEEE Conference on Network Softwarization (NetSoft)}, publisher={IEEE}, author={Schneider, Stefan Balthasar and Satheeschandran, Narayanan Puthenpurayil and Peuster, Manuel and Karl, Holger}, year={2020} }","mla":"Schneider, Stefan Balthasar, et al. “Machine Learning for Dynamic Resource Allocation in Network Function Virtualization.” IEEE Conference on Network Softwarization (NetSoft), IEEE, 2020."},"file_date_updated":"2020-03-03T11:42:16Z","project":[{"grant_number":"761493","_id":"28","name":"5G Development and validation platform for global industry-specific network services and Apps"},{"name":"SFB 901","_id":"1"},{"_id":"4","name":"SFB 901 - Project Area C"},{"name":"SFB 901 - Subproject C4","_id":"16"}],"oa":"1","conference":{"location":"Ghent, Belgium","name":"IEEE Conference on Network Softwarization (NetSoft)"},"status":"public","has_accepted_license":"1","publisher":"IEEE","_id":"16219","user_id":"35343","ddc":["000"],"publication":"IEEE Conference on Network Softwarization (NetSoft)","abstract":[{"lang":"eng","text":"Network function virtualization (NFV) proposes\r\nto replace physical middleboxes with more flexible virtual\r\nnetwork functions (VNFs). To dynamically adjust to everchanging\r\ntraffic demands, VNFs have to be instantiated and\r\ntheir allocated resources have to be adjusted on demand.\r\nDeciding the amount of allocated resources is non-trivial.\r\nExisting optimization approaches often assume fixed resource\r\nrequirements for each VNF instance. However, this can easily\r\nlead to either waste of resources or bad service quality if too\r\nmany or too few resources are allocated.\r\n\r\nTo solve this problem, we train machine learning models\r\non real VNF data, containing measurements of performance\r\nand resource requirements. For each VNF, the trained models\r\ncan then accurately predict the required resources to handle\r\na certain traffic load. We integrate these machine learning\r\nmodels into an algorithm for joint VNF scaling and placement\r\nand evaluate their impact on resulting VNF placements. Our\r\nevaluation based on real-world data shows that using suitable\r\nmachine learning models effectively avoids over- and underallocation\r\nof resources, leading to up to 12 times lower resource\r\nconsumption and better service quality with up to 4.5 times\r\nlower total delay than using standard fixed resource allocation."}],"date_created":"2020-03-03T11:42:22Z","file":[{"creator":"stschn","date_created":"2020-03-03T11:42:16Z","date_updated":"2020-03-03T11:42:16Z","relation":"main_file","access_level":"open_access","file_size":476590,"file_name":"ris_preprint.pdf","content_type":"application/pdf","file_id":"16220"}],"department":[{"_id":"75"}],"type":"conference","author":[{"id":"35343","full_name":"Schneider, Stefan Balthasar","first_name":"Stefan Balthasar","orcid":"0000-0001-8210-4011","last_name":"Schneider"},{"full_name":"Satheeschandran, Narayanan Puthenpurayil","last_name":"Satheeschandran","first_name":"Narayanan Puthenpurayil"},{"id":"13271","last_name":"Peuster","first_name":"Manuel","full_name":"Peuster, Manuel"},{"full_name":"Karl, Holger","first_name":"Holger","last_name":"Karl","id":"126"}],"title":"Machine Learning for Dynamic Resource Allocation in Network Function Virtualization","year":"2020","date_updated":"2022-01-06T06:52:46Z","language":[{"iso":"eng"}]},{"place":"Cham","citation":{"bibtex":"@inbook{Peitz_Klus_2020, place={Cham}, series={Lecture Notes in Control and Information Sciences}, title={Feedback Control of Nonlinear PDEs Using Data-Efficient Reduced Order Models Based on the Koopman Operator}, volume={484}, DOI={10.1007/978-3-030-35713-9_10}, booktitle={Lecture Notes in Control and Information Sciences}, publisher={Springer}, author={Peitz, Sebastian and Klus, Stefan}, year={2020}, pages={257–282}, collection={Lecture Notes in Control and Information Sciences} }","ama":"Peitz S, Klus S. Feedback Control of Nonlinear PDEs Using Data-Efficient Reduced Order Models Based on the Koopman Operator. In: Lecture Notes in Control and Information Sciences. Vol 484. Lecture Notes in Control and Information Sciences. Cham: Springer; 2020:257-282. doi:10.1007/978-3-030-35713-9_10","mla":"Peitz, Sebastian, and Stefan Klus. “Feedback Control of Nonlinear PDEs Using Data-Efficient Reduced Order Models Based on the Koopman Operator.” Lecture Notes in Control and Information Sciences, vol. 484, Springer, 2020, pp. 257–82, doi:10.1007/978-3-030-35713-9_10.","short":"S. Peitz, S. Klus, in: Lecture Notes in Control and Information Sciences, Springer, Cham, 2020, pp. 257–282.","chicago":"Peitz, Sebastian, and Stefan Klus. “Feedback Control of Nonlinear PDEs Using Data-Efficient Reduced Order Models Based on the Koopman Operator.” In Lecture Notes in Control and Information Sciences, 484:257–82. Lecture Notes in Control and Information Sciences. Cham: Springer, 2020. https://doi.org/10.1007/978-3-030-35713-9_10.","ieee":"S. Peitz and S. Klus, “Feedback Control of Nonlinear PDEs Using Data-Efficient Reduced Order Models Based on the Koopman Operator,” in Lecture Notes in Control and Information Sciences, vol. 484, Cham: Springer, 2020, pp. 257–282.","apa":"Peitz, S., & Klus, S. (2020). Feedback Control of Nonlinear PDEs Using Data-Efficient Reduced Order Models Based on the Koopman Operator. In Lecture Notes in Control and Information Sciences (Vol. 484, pp. 257–282). Cham: Springer. https://doi.org/10.1007/978-3-030-35713-9_10"},"volume":484,"user_id":"47427","_id":"16289","publisher":"Springer","page":"257-282","status":"public","department":[{"_id":"101"}],"type":"book_chapter","date_created":"2020-03-13T12:38:52Z","abstract":[{"text":"In the development of model predictive controllers for PDE-constrained problems, the use of reduced order models is essential to enable real-time applicability. Besides local linearization approaches, proper orthogonal decomposition (POD) has been most widely used in the past in order to derive such models. Due to the huge advances concerning both theory as well as the numerical approximation, a very promising alternative based on the Koopman operator has recently emerged. In this chapter, we present two control strategies for model predictive control of nonlinear PDEs using data-efficient approximations of the Koopman operator. In the first one, the dynamic control system is replaced by a small number of autonomous systems with different yet constant inputs. The control problem is consequently transformed into a switching problem. In the second approach, a bilinear surrogate model is obtained via a convex combination of these autonomous systems. Using a recent convergence result for extended dynamic mode decomposition (EDMD), convergence of the reduced objective function can be shown. We study the properties of these two strategies with respect to solution quality, data requirements, and complexity of the resulting optimization problem using the 1-dimensional Burgers equation and the 2-dimensional Navier–Stokes equations as examples. Finally, an extension for online adaptivity is presented.","lang":"eng"}],"publication":"Lecture Notes in Control and Information Sciences","doi":"10.1007/978-3-030-35713-9_10","language":[{"iso":"eng"}],"series_title":"Lecture Notes in Control and Information Sciences","intvolume":" 484","date_updated":"2022-01-06T06:52:48Z","publication_status":"published","author":[{"id":"47427","first_name":"Sebastian","last_name":"Peitz","orcid":"https://orcid.org/0000-0002-3389-793X","full_name":"Peitz, Sebastian"},{"last_name":"Klus","first_name":"Stefan","full_name":"Klus, Stefan"}],"publication_identifier":{"issn":["0170-8643","1610-7411"],"isbn":["9783030357122","9783030357139"]},"year":"2020","title":"Feedback Control of Nonlinear PDEs Using Data-Efficient Reduced Order Models Based on the Koopman Operator"},{"language":[{"iso":"eng"}],"_id":"29939","publisher":"IEEE","main_file_link":[{"url":"https://ieeexplore.ieee.org/abstract/document/9215687"}],"doi":"10.23919/epe20ecceeurope43536.2020.9215687","user_id":"34289","conference":{"end_date":"2020-09-11","name":"22nd European Conference on Power Electronics and Applications (EPE'20 ECCE Europe)","start_date":"2020-09-07","location":"Lyon, France"},"author":[{"full_name":"Unruh, Roland","last_name":"Unruh","first_name":"Roland","id":"34289"},{"full_name":"Schafmeister, Frank","first_name":"Frank","last_name":"Schafmeister","id":"71291"},{"id":"66","orcid":"0000-0002-8480-7295","last_name":"Böcker","first_name":"Joachim","full_name":"Böcker, Joachim"}],"status":"public","title":"Evaluation of MMCs for High-Power Low-Voltage DC-Applications in Combination with the Module LLC-Design","year":"2020","date_updated":"2022-02-21T17:00:16Z","publication_status":"published","date_created":"2022-02-21T16:33:14Z","department":[{"_id":"52"}],"keyword":["Multilevel converters","Resonant converter","High voltage power converters","ZVS Converters","Combination MMC LLC"],"type":"conference","citation":{"bibtex":"@inproceedings{Unruh_Schafmeister_Böcker_2020, title={Evaluation of MMCs for High-Power Low-Voltage DC-Applications in Combination with the Module LLC-Design}, DOI={10.23919/epe20ecceeurope43536.2020.9215687}, booktitle={2020 22nd European Conference on Power Electronics and Applications (EPE’20 ECCE Europe)}, publisher={IEEE}, author={Unruh, Roland and Schafmeister, Frank and Böcker, Joachim}, year={2020} }","ama":"Unruh R, Schafmeister F, Böcker J. Evaluation of MMCs for High-Power Low-Voltage DC-Applications in Combination with the Module LLC-Design. In: 2020 22nd European Conference on Power Electronics and Applications (EPE’20 ECCE Europe). IEEE; 2020. doi:10.23919/epe20ecceeurope43536.2020.9215687","mla":"Unruh, Roland, et al. “Evaluation of MMCs for High-Power Low-Voltage DC-Applications in Combination with the Module LLC-Design.” 2020 22nd European Conference on Power Electronics and Applications (EPE’20 ECCE Europe), IEEE, 2020, doi:10.23919/epe20ecceeurope43536.2020.9215687.","short":"R. Unruh, F. Schafmeister, J. Böcker, in: 2020 22nd European Conference on Power Electronics and Applications (EPE’20 ECCE Europe), IEEE, 2020.","chicago":"Unruh, Roland, Frank Schafmeister, and Joachim Böcker. “Evaluation of MMCs for High-Power Low-Voltage DC-Applications in Combination with the Module LLC-Design.” In 2020 22nd European Conference on Power Electronics and Applications (EPE’20 ECCE Europe). IEEE, 2020. https://doi.org/10.23919/epe20ecceeurope43536.2020.9215687.","ieee":"R. Unruh, F. Schafmeister, and J. Böcker, “Evaluation of MMCs for High-Power Low-Voltage DC-Applications in Combination with the Module LLC-Design,” presented at the 22nd European Conference on Power Electronics and Applications (EPE’20 ECCE Europe), Lyon, France, 2020, doi: 10.23919/epe20ecceeurope43536.2020.9215687.","apa":"Unruh, R., Schafmeister, F., & Böcker, J. (2020). Evaluation of MMCs for High-Power Low-Voltage DC-Applications in Combination with the Module LLC-Design. 2020 22nd European Conference on Power Electronics and Applications (EPE’20 ECCE Europe). 22nd European Conference on Power Electronics and Applications (EPE’20 ECCE Europe), Lyon, France. https://doi.org/10.23919/epe20ecceeurope43536.2020.9215687"},"publication":"2020 22nd European Conference on Power Electronics and Applications (EPE'20 ECCE Europe)","abstract":[{"lang":"eng","text":"In this paper, a full-bridge modular multilevel converter (MMC) and two half-bridge-based MMCs are evaluated for high-current low-voltage e.g. 100 - 400V DC-applications such as electrolysis, arc welding or datacenters with DC-power distribution. Usually, modular multilevel converters are used in high-voltage DC-applications (HVDC) in the multiple kV-range, but to meet the needs of a high-current demand at low output voltage levels, the modular converter concept requires adaptations. In the proposed concept, the MMC is used to step-down the three-phase medium-voltage of 10kV, and provide up to 1 MW to the load. Therefore, each module is extended by an LLC resonant converter to adapt to the specific electrolyzers DC-voltage range of 142 - 220V and to provide galvanic isolation. The six-arm MMC converter with half-bridge modules can be simplified and optimized by removing three arms, and thus halving the number of modules. In addition, the module voltage ripple and capacitor losses are decreased by 22% and 30% respectively. By rearranging the components of the half-bridge MMC to build a MMC consisting of grid-side full-bridge modules, the voltage ripple is further reduced by 78% and capacitor losses by 64%, while ensuring identical costs and volume for all MMCs. Finally, the LLC resonant converter is designed for the most efficient full-bridge MMC. The LLC can not operate at resonance with a fixed nominal module voltage of 770V because the output voltage is varying between 142 - 220V. By decreasing the module voltage down to 600V, additional points of operation can be operated in resonance, and the remaining are closer to resonance. The option to decrease the module voltage down to 600V, increases the number of required modules per arm from 12 to 15, which requires to balance the losses of the LLCs and the grid-side stages."}]},{"type":"preprint","date_created":"2021-04-14T10:29:08Z","abstract":[{"text":"Micro- and smart grids (MSG) play an important role both for integrating\nrenewable energy sources in conventional electricity grids and for providing\npower supply in remote areas. Modern MSGs are largely driven by power\nelectronic converters due to their high efficiency and flexibility.\nNevertheless, controlling MSGs is a challenging task due to highest\nrequirements on energy availability, safety and voltage quality within a wide\nrange of different MSG topologies. This results in a high demand for\ncomprehensive testing of new control concepts during their development phase\nand comparisons with the state of the art in order to ensure their feasibility.\nThis applies in particular to data-driven control approaches from the field of\nreinforcement learning (RL), whose stability and operating behavior can hardly\nbe evaluated a priori. Therefore, the OpenModelica Microgrid Gym (OMG) package,\nan open-source software toolbox for the simulation and control optimization of\nMSGs, is proposed. It is capable of modeling and simulating arbitrary MSG\ntopologies and offers a Python-based interface for plug \\& play controller\ntesting. In particular, the standardized OpenAI Gym interface allows for easy\nRL-based controller integration. Besides the presentation of the OMG toolbox,\napplication examples are highlighted including safe Bayesian optimization for\nlow-level controller tuning.","lang":"eng"}],"publication":"arXiv:2005.04869","citation":{"bibtex":"@article{Bode_Heid_Weber_Hüllermeier_Wallscheid_2020, title={Towards a Scalable and Flexible Simulation and Testing Environment Toolbox for Intelligent Microgrid Control}, journal={arXiv:2005.04869}, author={Bode, Henrik and Heid, Stefan and Weber, Daniel and Hüllermeier, Eyke and Wallscheid, Oliver}, year={2020} }","ama":"Bode H, Heid S, Weber D, Hüllermeier E, Wallscheid O. Towards a Scalable and Flexible Simulation and Testing Environment Toolbox for Intelligent Microgrid Control. arXiv:200504869. Published online 2020.","mla":"Bode, Henrik, et al. “Towards a Scalable and Flexible Simulation and Testing Environment Toolbox for Intelligent Microgrid Control.” ArXiv:2005.04869, 2020.","short":"H. Bode, S. Heid, D. Weber, E. Hüllermeier, O. Wallscheid, ArXiv:2005.04869 (2020).","chicago":"Bode, Henrik, Stefan Heid, Daniel Weber, Eyke Hüllermeier, and Oliver Wallscheid. “Towards a Scalable and Flexible Simulation and Testing Environment Toolbox for Intelligent Microgrid Control.” ArXiv:2005.04869, 2020.","ieee":"H. Bode, S. Heid, D. Weber, E. Hüllermeier, and O. Wallscheid, “Towards a Scalable and Flexible Simulation and Testing Environment Toolbox for Intelligent Microgrid Control,” arXiv:2005.04869. 2020.","apa":"Bode, H., Heid, S., Weber, D., Hüllermeier, E., & Wallscheid, O. (2020). Towards a Scalable and Flexible Simulation and Testing Environment Toolbox for Intelligent Microgrid Control. In arXiv:2005.04869."},"user_id":"40880","_id":"21623","date_updated":"2022-02-28T08:14:53Z","year":"2020","status":"public","title":"Towards a Scalable and Flexible Simulation and Testing Environment\n Toolbox for Intelligent Microgrid Control","author":[{"full_name":"Bode, Henrik","first_name":"Henrik","last_name":"Bode"},{"full_name":"Heid, Stefan","first_name":"Stefan","last_name":"Heid"},{"full_name":"Weber, Daniel","last_name":"Weber","first_name":"Daniel"},{"full_name":"Hüllermeier, Eyke","last_name":"Hüllermeier","first_name":"Eyke"},{"full_name":"Wallscheid, Oliver","last_name":"Wallscheid","first_name":"Oliver"}]},{"date_updated":"2022-01-21T09:55:39Z","year":"2020","title":"Explicit Multi-objective Model Predictive Control for Nonlinear Systems Under Uncertainty","status":"public","author":[{"last_name":"Hernández Castellanos","first_name":"Carlos Ignacio","full_name":"Hernández Castellanos, Carlos Ignacio"},{"id":"16494","full_name":"Ober-Blöbaum, Sina","first_name":"Sina","last_name":"Ober-Blöbaum"},{"first_name":"Sebastian","orcid":"https://orcid.org/0000-0002-3389-793X","last_name":"Peitz","full_name":"Peitz, Sebastian","id":"47427"}],"user_id":"15694","doi":"10.1002/rnc.5197","volume":"30(17)","page":"7593-7618","language":[{"iso":"eng"}],"_id":"16297","abstract":[{"text":"In real-world problems, uncertainties (e.g., errors in the measurement,\r\nprecision errors) often lead to poor performance of numerical algorithms when\r\nnot explicitly taken into account. This is also the case for control problems,\r\nwhere optimal solutions can degrade in quality or even become infeasible. Thus,\r\nthere is the need to design methods that can handle uncertainty. In this work,\r\nwe consider nonlinear multi-objective optimal control problems with uncertainty\r\non the initial conditions, and in particular their incorporation into a\r\nfeedback loop via model predictive control (MPC). In multi-objective optimal\r\ncontrol, an optimal compromise between multiple conflicting criteria has to be\r\nfound. For such problems, not much has been reported in terms of uncertainties.\r\nTo address this problem class, we design an offline/online framework to compute\r\nan approximation of efficient control strategies. This approach is closely\r\nrelated to explicit MPC for nonlinear systems, where the potentially expensive\r\noptimization problem is solved in an offline phase in order to enable fast\r\nsolutions in the online phase. In order to reduce the numerical cost of the\r\noffline phase, we exploit symmetries in the control problems. Furthermore, in\r\norder to ensure optimality of the solutions, we include an additional online\r\noptimization step, which is considerably cheaper than the original\r\nmulti-objective optimization problem. We test our framework on a car\r\nmaneuvering problem where safety and speed are the objectives. The\r\nmulti-objective framework allows for online adaptations of the desired\r\nobjective. Alternatively, an automatic scalarizing procedure yields very\r\nefficient feedback controls. Our results show that the method is capable of\r\ndesigning driving strategies that deal better with uncertainties in the initial\r\nconditions, which translates into potentially safer and faster driving\r\nstrategies.","lang":"eng"}],"publication":"International Journal of Robust and Nonlinear Control","citation":{"mla":"Hernández Castellanos, Carlos Ignacio, et al. “Explicit Multi-Objective Model Predictive Control for Nonlinear Systems Under Uncertainty.” International Journal of Robust and Nonlinear Control, vol. 30(17), 2020, pp. 7593–618, doi:10.1002/rnc.5197.","ama":"Hernández Castellanos CI, Ober-Blöbaum S, Peitz S. Explicit Multi-objective Model Predictive Control for Nonlinear Systems Under Uncertainty. International Journal of Robust and Nonlinear Control. 2020;30(17):7593-7618. doi:10.1002/rnc.5197","bibtex":"@article{Hernández Castellanos_Ober-Blöbaum_Peitz_2020, title={Explicit Multi-objective Model Predictive Control for Nonlinear Systems Under Uncertainty}, volume={30(17)}, DOI={10.1002/rnc.5197}, journal={International Journal of Robust and Nonlinear Control}, author={Hernández Castellanos, Carlos Ignacio and Ober-Blöbaum, Sina and Peitz, Sebastian}, year={2020}, pages={7593–7618} }","apa":"Hernández Castellanos, C. I., Ober-Blöbaum, S., & Peitz, S. (2020). Explicit Multi-objective Model Predictive Control for Nonlinear Systems Under Uncertainty. International Journal of Robust and Nonlinear Control, 30(17), 7593–7618. https://doi.org/10.1002/rnc.5197","ieee":"C. I. Hernández Castellanos, S. Ober-Blöbaum, and S. Peitz, “Explicit Multi-objective Model Predictive Control for Nonlinear Systems Under Uncertainty,” International Journal of Robust and Nonlinear Control, vol. 30(17), pp. 7593–7618, 2020, doi: 10.1002/rnc.5197.","short":"C.I. Hernández Castellanos, S. Ober-Blöbaum, S. Peitz, International Journal of Robust and Nonlinear Control 30(17) (2020) 7593–7618.","chicago":"Hernández Castellanos, Carlos Ignacio, Sina Ober-Blöbaum, and Sebastian Peitz. “Explicit Multi-Objective Model Predictive Control for Nonlinear Systems Under Uncertainty.” International Journal of Robust and Nonlinear Control 30(17) (2020): 7593–7618. https://doi.org/10.1002/rnc.5197."},"type":"journal_article","department":[{"_id":"101"}],"date_created":"2020-03-13T12:45:56Z"},{"department":[{"_id":"35"},{"_id":"22"},{"_id":"395"}],"type":"journal_article","date_created":"2021-11-01T19:11:56Z","extern":"1","abstract":[{"text":"Abstract\r\nPurpose\r\nWhile observational studies revealed inverse associations between serum vitamin D levels [25(OH)D] and depression, randomized controlled trials (RCT) in children and adolescents are lacking. This RCT examined the effect of an untreated vitamin D deficiency compared to an immediate vitamin D3 supplementation on depression scores in children and adolescents during standard day and in-patient psychiatric treatment.\r\n\r\nMethods\r\nPatients with vitamin D deficiency [25(OH)D ≤ 30 nmol/l] and at least mild depression [Beck Depression Inventory II (BDI-II) > 13] (n = 113) were 1:1 randomized into verum (VG; 2640 IU vitamin D3/d) or placebo group (PG) in a double-blind manner. During the intervention period of 28 days, both groups additionally received treatment as usual. BDI-II scores were assessed as primary outcome, DISYPS-II (Diagnostic System for Mental Disorders in Childhood and Adolescence, Self- and Parent Rating) and serum total 25(OH)D were secondary outcomes.\r\n\r\nResults\r\nAt admission, 49.3% of the screened patients (n = 280) had vitamin D deficiency. Although the intervention led to a higher increase of 25(OH)D levels in the VG than in the PG (treatment difference: + 14 ng/ml; 95% CI 4.86–23.77; p = 0.003), the change in BDI-II scores did not differ (+ 1.3; 95% CI − 2.22 to 4.81; p = 0.466). In contrast, DISYPS parental ratings revealed pronounced improvements of depressive symptoms in the VG (− 0.68; 95% CI − 1.23 to − 0.13; p = 0.016).\r\n\r\nConclusion\r\nWhereas this study failed to show a vitamin D supplementation effect on self-rated depression in adolescent in- or daycare patients, parents reported less depressive symptoms in VG at the end of our study. Future trials should consider clinician-rated depressive symptoms as primary outcome.\r\n\r\nTrial registration\r\n“German Clinical Trials Register” (https://www.drks.de), registration number: DRKS00009758\r\n","lang":"eng"}],"citation":{"bibtex":"@article{Libuda_Timmesfeld_Antel_Hirtz_Bauer_Führer_Zwanziger_Öztürk_Langenbach_Hahn_et al._2020, title={Effect of vitamin D deficiency on depressive symptoms in child and adolescent psychiatric patients: results of a randomized controlled trial}, DOI={10.1007/s00394-020-02176-6}, journal={European Journal of Nutrition}, author={Libuda, Lars and Timmesfeld, Nina and Antel, Jochen and Hirtz, Raphael and Bauer, Jens and Führer, Dagmar and Zwanziger, Denise and Öztürk, Dana and Langenbach, Gina and Hahn, Denise and et al.}, year={2020}, pages={3415–3424} }","ama":"Libuda L, Timmesfeld N, Antel J, et al. Effect of vitamin D deficiency on depressive symptoms in child and adolescent psychiatric patients: results of a randomized controlled trial. European Journal of Nutrition. Published online 2020:3415-3424. doi:10.1007/s00394-020-02176-6","mla":"Libuda, Lars, et al. “Effect of Vitamin D Deficiency on Depressive Symptoms in Child and Adolescent Psychiatric Patients: Results of a Randomized Controlled Trial.” European Journal of Nutrition, 2020, pp. 3415–24, doi:10.1007/s00394-020-02176-6.","short":"L. Libuda, N. Timmesfeld, J. Antel, R. Hirtz, J. Bauer, D. Führer, D. Zwanziger, D. Öztürk, G. Langenbach, D. Hahn, S. Ring, T. Peters, A. Hinney, J. Bühlmeier, J. Hebebrand, C. Grasemann, M. Föcker, European Journal of Nutrition (2020) 3415–3424.","chicago":"Libuda, Lars, Nina Timmesfeld, Jochen Antel, Raphael Hirtz, Jens Bauer, Dagmar Führer, Denise Zwanziger, et al. “Effect of Vitamin D Deficiency on Depressive Symptoms in Child and Adolescent Psychiatric Patients: Results of a Randomized Controlled Trial.” European Journal of Nutrition, 2020, 3415–24. https://doi.org/10.1007/s00394-020-02176-6.","ieee":"L. Libuda et al., “Effect of vitamin D deficiency on depressive symptoms in child and adolescent psychiatric patients: results of a randomized controlled trial,” European Journal of Nutrition, pp. 3415–3424, 2020, doi: 10.1007/s00394-020-02176-6.","apa":"Libuda, L., Timmesfeld, N., Antel, J., Hirtz, R., Bauer, J., Führer, D., Zwanziger, D., Öztürk, D., Langenbach, G., Hahn, D., Ring, S., Peters, T., Hinney, A., Bühlmeier, J., Hebebrand, J., Grasemann, C., & Föcker, M. (2020). Effect of vitamin D deficiency on depressive symptoms in child and adolescent psychiatric patients: results of a randomized controlled trial. European Journal of Nutrition, 3415–3424. https://doi.org/10.1007/s00394-020-02176-6"},"publication":"European Journal of Nutrition","user_id":"89838","doi":"10.1007/s00394-020-02176-6","_id":"27022","language":[{"iso":"eng"}],"page":"3415-3424","publication_status":"published","date_updated":"2022-09-15T09:49:57Z","author":[{"full_name":"Libuda, Lars","orcid":"0000-0003-1603-3133","last_name":"Libuda","first_name":"Lars","id":"88682"},{"last_name":"Timmesfeld","first_name":"Nina","full_name":"Timmesfeld, Nina"},{"first_name":"Jochen","last_name":"Antel","full_name":"Antel, Jochen"},{"full_name":"Hirtz, Raphael","last_name":"Hirtz","first_name":"Raphael"},{"full_name":"Bauer, Jens","last_name":"Bauer","first_name":"Jens"},{"full_name":"Führer, Dagmar","first_name":"Dagmar","last_name":"Führer"},{"full_name":"Zwanziger, Denise","first_name":"Denise","last_name":"Zwanziger"},{"last_name":"Öztürk","first_name":"Dana","full_name":"Öztürk, Dana"},{"first_name":"Gina","last_name":"Langenbach","full_name":"Langenbach, Gina"},{"full_name":"Hahn, Denise","last_name":"Hahn","first_name":"Denise"},{"first_name":"Stefanie","last_name":"Ring","full_name":"Ring, Stefanie"},{"first_name":"Triinu","last_name":"Peters","full_name":"Peters, Triinu"},{"full_name":"Hinney, Anke","first_name":"Anke","last_name":"Hinney"},{"id":"89838","first_name":"Judith","last_name":"Bühlmeier","full_name":"Bühlmeier, Judith"},{"full_name":"Hebebrand, Johannes","last_name":"Hebebrand","first_name":"Johannes"},{"full_name":"Grasemann, Corinna","first_name":"Corinna","last_name":"Grasemann"},{"full_name":"Föcker, Manuel","first_name":"Manuel","last_name":"Föcker"}],"publication_identifier":{"issn":["1436-6207","1436-6215"]},"title":"Effect of vitamin D deficiency on depressive symptoms in child and adolescent psychiatric patients: results of a randomized controlled trial","year":"2020","status":"public"},{"language":[{"iso":"eng"}],"_id":"27018","article_number":"7","user_id":"89838","doi":"10.3390/metabo11010007","publication_identifier":{"issn":["2218-1989"]},"author":[{"last_name":"Föcker","first_name":"Manuel","full_name":"Föcker, Manuel"},{"full_name":"Cecil, Alexander","last_name":"Cecil","first_name":"Alexander"},{"last_name":"Prehn","first_name":"Cornelia","full_name":"Prehn, Cornelia"},{"last_name":"Adamski","first_name":"Jerzy","full_name":"Adamski, Jerzy"},{"last_name":"Albrecht","first_name":"Muriel","full_name":"Albrecht, Muriel"},{"last_name":"Adams","first_name":"Frederike","full_name":"Adams, Frederike"},{"last_name":"Hinney","first_name":"Anke","full_name":"Hinney, Anke"},{"id":"88682","full_name":"Libuda, Lars","last_name":"Libuda","orcid":"0000-0003-1603-3133","first_name":"Lars"},{"last_name":"Bühlmeier","first_name":"Judith","full_name":"Bühlmeier, Judith","id":"89838"},{"last_name":"Hebebrand","first_name":"Johannes","full_name":"Hebebrand, Johannes"},{"first_name":"Triinu","last_name":"Peters","full_name":"Peters, Triinu"},{"first_name":"Jochen","last_name":"Antel","full_name":"Antel, Jochen"}],"title":"Evaluation of Metabolic Profiles of Patients with Anorexia Nervosa at Inpatient Admission, Short- and Long-Term Weight Regain—Descriptive and Pattern Analysis","year":"2020","status":"public","publication_status":"published","date_updated":"2022-09-15T09:49:18Z","date_created":"2021-11-01T18:55:25Z","department":[{"_id":"35"},{"_id":"22"},{"_id":"395"}],"type":"journal_article","citation":{"short":"M. Föcker, A. Cecil, C. Prehn, J. Adamski, M. Albrecht, F. Adams, A. Hinney, L. Libuda, J. Bühlmeier, J. Hebebrand, T. Peters, J. Antel, Metabolites (2020).","ama":"Föcker M, Cecil A, Prehn C, et al. Evaluation of Metabolic Profiles of Patients with Anorexia Nervosa at Inpatient Admission, Short- and Long-Term Weight Regain—Descriptive and Pattern Analysis. Metabolites. Published online 2020. doi:10.3390/metabo11010007","chicago":"Föcker, Manuel, Alexander Cecil, Cornelia Prehn, Jerzy Adamski, Muriel Albrecht, Frederike Adams, Anke Hinney, et al. “Evaluation of Metabolic Profiles of Patients with Anorexia Nervosa at Inpatient Admission, Short- and Long-Term Weight Regain—Descriptive and Pattern Analysis.” Metabolites, 2020. https://doi.org/10.3390/metabo11010007.","bibtex":"@article{Föcker_Cecil_Prehn_Adamski_Albrecht_Adams_Hinney_Libuda_Bühlmeier_Hebebrand_et al._2020, title={Evaluation of Metabolic Profiles of Patients with Anorexia Nervosa at Inpatient Admission, Short- and Long-Term Weight Regain—Descriptive and Pattern Analysis}, DOI={10.3390/metabo11010007}, number={7}, journal={Metabolites}, author={Föcker, Manuel and Cecil, Alexander and Prehn, Cornelia and Adamski, Jerzy and Albrecht, Muriel and Adams, Frederike and Hinney, Anke and Libuda, Lars and Bühlmeier, Judith and Hebebrand, Johannes and et al.}, year={2020} }","mla":"Föcker, Manuel, et al. “Evaluation of Metabolic Profiles of Patients with Anorexia Nervosa at Inpatient Admission, Short- and Long-Term Weight Regain—Descriptive and Pattern Analysis.” Metabolites, 7, 2020, doi:10.3390/metabo11010007.","apa":"Föcker, M., Cecil, A., Prehn, C., Adamski, J., Albrecht, M., Adams, F., Hinney, A., Libuda, L., Bühlmeier, J., Hebebrand, J., Peters, T., & Antel, J. (2020). Evaluation of Metabolic Profiles of Patients with Anorexia Nervosa at Inpatient Admission, Short- and Long-Term Weight Regain—Descriptive and Pattern Analysis. Metabolites, Article 7. https://doi.org/10.3390/metabo11010007","ieee":"M. Föcker et al., “Evaluation of Metabolic Profiles of Patients with Anorexia Nervosa at Inpatient Admission, Short- and Long-Term Weight Regain—Descriptive and Pattern Analysis,” Metabolites, Art. no. 7, 2020, doi: 10.3390/metabo11010007."},"publication":"Metabolites","extern":"1","abstract":[{"text":"Acute anorexia nervosa (AN) constitutes an extreme physiological state. We aimed to detect state related metabolic alterations during inpatient admission and upon short- and long-term weight regain. In addition, we tested the hypothesis that metabolite concentrations adapt to those of healthy controls (HC) after long-term weight regain. Thirty-five female adolescents with AN and 25 female HC were recruited. Based on a targeted approach 187 metabolite concentrations were detected at inpatient admission (T0), after short-term weight recovery (T1; half of target-weight) and close to target weight (T2). Pattern hunter and time course analysis were performed. The highest number of significant differences in metabolite concentrations (N = 32) were observed between HC and T1. According to the detected main pattern, metabolite concentrations at T2 became more similar to those of HC. The course of single metabolite concentrations (e.g., glutamic acid) revealed different metabolic subtypes within the study sample. Patients with AN after short-term weight regain are in a greater “metabolic imbalance” than at starvation. After long-term weight regain, patients reach a metabolite profile similar to HC. Our results might be confounded by different metabolic subtypes of patients with AN.","lang":"eng"}]},{"date_updated":"2023-01-05T16:43:34Z","publication_status":"published","status":"public","title":"Short-term effects of carbohydrates differing in glycemic index (GI) consumed at lunch on children’s cognitive function in a randomized crossover study","year":"2020","publication_identifier":{"issn":["0954-3007","1476-5640"]},"author":[{"last_name":"Jansen","first_name":"Kathrin","full_name":"Jansen, Kathrin"},{"full_name":"Tempes, Jana","last_name":"Tempes","first_name":"Jana"},{"full_name":"Drozdowska, Alina","last_name":"Drozdowska","first_name":"Alina"},{"full_name":"Gutmann, Maike","first_name":"Maike","last_name":"Gutmann"},{"full_name":"Falkenstein, Michael","last_name":"Falkenstein","first_name":"Michael"},{"id":"65985","last_name":"Buyken","first_name":"Anette","full_name":"Buyken, Anette"},{"id":"88682","full_name":"Libuda, Lars","first_name":"Lars","orcid":"0000-0003-1603-3133","last_name":"Libuda"},{"full_name":"Rudolf, Henrik","first_name":"Henrik","last_name":"Rudolf"},{"full_name":"Lücke, Thomas","last_name":"Lücke","first_name":"Thomas"},{"first_name":"Mathilde","last_name":"Kersting","full_name":"Kersting, Mathilde"}],"doi":"10.1038/s41430-020-0600-0","user_id":"61597","page":"757-764","language":[{"iso":"eng"}],"_id":"27021","publication":"European Journal of Clinical Nutrition","citation":{"short":"K. Jansen, J. Tempes, A. Drozdowska, M. Gutmann, M. Falkenstein, A. Buyken, L. Libuda, H. Rudolf, T. Lücke, M. Kersting, European Journal of Clinical Nutrition (2020) 757–764.","chicago":"Jansen, Kathrin, Jana Tempes, Alina Drozdowska, Maike Gutmann, Michael Falkenstein, Anette Buyken, Lars Libuda, Henrik Rudolf, Thomas Lücke, and Mathilde Kersting. “Short-Term Effects of Carbohydrates Differing in Glycemic Index (GI) Consumed at Lunch on Children’s Cognitive Function in a Randomized Crossover Study.” European Journal of Clinical Nutrition, 2020, 757–64. https://doi.org/10.1038/s41430-020-0600-0.","ieee":"K. Jansen et al., “Short-term effects of carbohydrates differing in glycemic index (GI) consumed at lunch on children’s cognitive function in a randomized crossover study,” European Journal of Clinical Nutrition, pp. 757–764, 2020, doi: 10.1038/s41430-020-0600-0.","apa":"Jansen, K., Tempes, J., Drozdowska, A., Gutmann, M., Falkenstein, M., Buyken, A., Libuda, L., Rudolf, H., Lücke, T., & Kersting, M. (2020). Short-term effects of carbohydrates differing in glycemic index (GI) consumed at lunch on children’s cognitive function in a randomized crossover study. European Journal of Clinical Nutrition, 757–764. https://doi.org/10.1038/s41430-020-0600-0","bibtex":"@article{Jansen_Tempes_Drozdowska_Gutmann_Falkenstein_Buyken_Libuda_Rudolf_Lücke_Kersting_2020, title={Short-term effects of carbohydrates differing in glycemic index (GI) consumed at lunch on children’s cognitive function in a randomized crossover study}, DOI={10.1038/s41430-020-0600-0}, journal={European Journal of Clinical Nutrition}, author={Jansen, Kathrin and Tempes, Jana and Drozdowska, Alina and Gutmann, Maike and Falkenstein, Michael and Buyken, Anette and Libuda, Lars and Rudolf, Henrik and Lücke, Thomas and Kersting, Mathilde}, year={2020}, pages={757–764} }","ama":"Jansen K, Tempes J, Drozdowska A, et al. Short-term effects of carbohydrates differing in glycemic index (GI) consumed at lunch on children’s cognitive function in a randomized crossover study. European Journal of Clinical Nutrition. Published online 2020:757-764. doi:10.1038/s41430-020-0600-0","mla":"Jansen, Kathrin, et al. “Short-Term Effects of Carbohydrates Differing in Glycemic Index (GI) Consumed at Lunch on Children’s Cognitive Function in a Randomized Crossover Study.” European Journal of Clinical Nutrition, 2020, pp. 757–64, doi:10.1038/s41430-020-0600-0."},"type":"journal_article","department":[{"_id":"35"},{"_id":"22"},{"_id":"395"},{"_id":"571"}],"date_created":"2021-11-01T19:09:24Z"},{"publication":"Proceedings of the European Control Confrence 2020","citation":{"bibtex":"@inproceedings{Lee_Berger_Trenn_Shim_2020, title={Utility of Edge-wise Funnel Coupling for Asymptotically Solving Distributed Consensus Optimization}, booktitle={Proceedings of the European Control Confrence 2020}, author={Lee, J.G. and Berger, Thomas and Trenn, S. and Shim, H.}, year={2020}, pages={911–916} }","ama":"Lee JG, Berger T, Trenn S, Shim H. Utility of Edge-wise Funnel Coupling for Asymptotically Solving Distributed Consensus Optimization. In: Proceedings of the European Control Confrence 2020. ; 2020:911-916.","mla":"Lee, J. G., et al. “Utility of Edge-Wise Funnel Coupling for Asymptotically Solving Distributed Consensus Optimization.” Proceedings of the European Control Confrence 2020, 2020, pp. 911–16.","chicago":"Lee, J.G., Thomas Berger, S. Trenn, and H. Shim. “Utility of Edge-Wise Funnel Coupling for Asymptotically Solving Distributed Consensus Optimization.” In Proceedings of the European Control Confrence 2020, 911–16, 2020.","short":"J.G. Lee, T. Berger, S. Trenn, H. Shim, in: Proceedings of the European Control Confrence 2020, 2020, pp. 911–916.","ieee":"J. G. Lee, T. Berger, S. Trenn, and H. Shim, “Utility of Edge-wise Funnel Coupling for Asymptotically Solving Distributed Consensus Optimization,” in Proceedings of the European Control Confrence 2020, Saint Petersburg, Russia, 2020, pp. 911–916.","apa":"Lee, J. G., Berger, T., Trenn, S., & Shim, H. (2020). Utility of Edge-wise Funnel Coupling for Asymptotically Solving Distributed Consensus Optimization. Proceedings of the European Control Confrence 2020, 911–916."},"date_created":"2023-01-12T10:38:25Z","type":"conference","status":"public","year":"2020","title":"Utility of Edge-wise Funnel Coupling for Asymptotically Solving Distributed Consensus Optimization","author":[{"full_name":"Lee, J.G.","last_name":"Lee","first_name":"J.G."},{"id":"77457","last_name":"Berger","first_name":"Thomas","full_name":"Berger, Thomas"},{"last_name":"Trenn","first_name":"S.","full_name":"Trenn, S."},{"full_name":"Shim, H.","last_name":"Shim","first_name":"H."}],"conference":{"location":"Saint Petersburg, Russia","name":"Proceedings of the European Control Confrence 2020"},"date_updated":"2023-01-12T12:29:18Z","page":"911-916","language":[{"iso":"eng"}],"_id":"36380","user_id":"77457"},{"place":"Cham","date_created":"2022-01-18T12:58:18Z","type":"book_chapter","department":[{"_id":"636"}],"publication":"Advances in Dynamics, Optimization and Computation","citation":{"chicago":"Flaßkamp, K., Sina Ober-Blöbaum, and S. Peitz. “Symmetry in Optimal Control: A Multiobjective Model Predictive Control Approach.” In Advances in Dynamics, Optimization and Computation, edited by Oliver Junge, Oliver Schütze, Gary Froyland, Sina Ober-Blöbaum, and Kathrin Padberg-Gehle, 209–37. Cham: Springer International Publishing, 2020.","short":"K. Flaßkamp, S. Ober-Blöbaum, S. Peitz, in: O. Junge, O. Schütze, G. Froyland, S. Ober-Blöbaum, K. Padberg-Gehle (Eds.), Advances in Dynamics, Optimization and Computation, Springer International Publishing, Cham, 2020, pp. 209–237.","apa":"Flaßkamp, K., Ober-Blöbaum, S., & Peitz, S. (2020). Symmetry in optimal control: A multiobjective model predictive control approach. In O. Junge, O. Schütze, G. Froyland, S. Ober-Blöbaum, & K. Padberg-Gehle (Eds.), Advances in Dynamics, Optimization and Computation (pp. 209–237). Springer International Publishing.","ieee":"K. Flaßkamp, S. Ober-Blöbaum, and S. Peitz, “Symmetry in optimal control: A multiobjective model predictive control approach,” in Advances in Dynamics, Optimization and Computation, O. Junge, O. Schütze, G. Froyland, S. Ober-Blöbaum, and K. Padberg-Gehle, Eds. Cham: Springer International Publishing, 2020, pp. 209–237.","ama":"Flaßkamp K, Ober-Blöbaum S, Peitz S. Symmetry in optimal control: A multiobjective model predictive control approach. In: Junge O, Schütze O, Froyland G, Ober-Blöbaum S, Padberg-Gehle K, eds. Advances in Dynamics, Optimization and Computation. Springer International Publishing; 2020:209-237.","bibtex":"@inbook{Flaßkamp_Ober-Blöbaum_Peitz_2020, place={Cham}, title={Symmetry in optimal control: A multiobjective model predictive control approach}, booktitle={Advances in Dynamics, Optimization and Computation}, publisher={Springer International Publishing}, author={Flaßkamp, K. and Ober-Blöbaum, Sina and Peitz, S. }, editor={Junge, Oliver and Schütze, Oliver and Froyland, Gary and Ober-Blöbaum, Sina and Padberg-Gehle, Kathrin}, year={2020}, pages={209–237} }","mla":"Flaßkamp, K., et al. “Symmetry in Optimal Control: A Multiobjective Model Predictive Control Approach.” Advances in Dynamics, Optimization and Computation, edited by Oliver Junge et al., Springer International Publishing, 2020, pp. 209–37."},"page":"209-237","_id":"29413","publisher":"Springer International Publishing","language":[{"iso":"eng"}],"user_id":"15694","editor":[{"full_name":"Junge, Oliver","last_name":"Junge","first_name":"Oliver"},{"first_name":"Oliver","last_name":"Schütze","full_name":"Schütze, Oliver"},{"full_name":"Froyland, Gary","first_name":"Gary","last_name":"Froyland"},{"full_name":"Ober-Blöbaum, Sina","first_name":"Sina","last_name":"Ober-Blöbaum"},{"full_name":"Padberg-Gehle, Kathrin","first_name":"Kathrin","last_name":"Padberg-Gehle"}],"title":"Symmetry in optimal control: A multiobjective model predictive control approach","year":"2020","status":"public","author":[{"full_name":"Flaßkamp, K.","last_name":"Flaßkamp","first_name":"K."},{"id":"16494","first_name":"Sina","last_name":"Ober-Blöbaum","full_name":"Ober-Blöbaum, Sina"},{"full_name":"Peitz, S. ","first_name":"S. ","last_name":"Peitz"}],"date_updated":"2023-11-08T08:15:14Z"},{"type":"conference","department":[{"_id":"34"},{"_id":"819"}],"place":"Canberra, Australia","date_created":"2023-08-04T07:37:30Z","abstract":[{"lang":"eng","text":"In this paper, we rely on previous work proposing a modularized version of CMA-ES, which captures several alterations to the conventional CMA-ES developed in recent years. Each alteration provides significant advantages under certain problem properties, e.g., multi-modality, high conditioning. These distinct advancements are implemented as modules which result in 4608 unique versions of CMA-ES. Previous findings illustrate the competitive advantage of enabling and disabling the aforementioned modules for different optimization problems. Yet, this modular CMA-ES is lacking a method to automatically determine when the activation of specific modules is auspicious and when it is not. We propose a well-performing instance-specific algorithm configuration model which selects an (almost) optimal configuration of modules for a given problem instance. In addition, the structure of this configuration model is able to capture inter-dependencies between modules, e.g., two (or more) modules might only be advantageous in unison for some problem types, making the orchestration of modules a crucial task. This is accomplished by chaining multiple random forest classifiers together into a so-called Classifier Chain based on a set of numerical features extracted by means of Exploratory Landscape Analysis (ELA) to describe the given problem instances."}],"publication":"Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI)","citation":{"ama":"Prager RP, Trautmann H, Wang H, Bäck THW, Kerschke P. Per-Instance Configuration of the Modularized CMA-ES by Means of Classifier Chains and Exploratory Landscape Analysis. In: Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI). ; 2020:996–1003. doi:10.1109/SSCI47803.2020.9308510","bibtex":"@inproceedings{Prager_Trautmann_Wang_Bäck_Kerschke_2020, place={Canberra, Australia}, title={Per-Instance Configuration of the Modularized CMA-ES by Means of Classifier Chains and Exploratory Landscape Analysis}, DOI={10.1109/SSCI47803.2020.9308510}, booktitle={Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI)}, author={Prager, Raphael Patrick and Trautmann, Heike and Wang, Hao and Bäck, Thomas H. W. and Kerschke, Pascal}, year={2020}, pages={996–1003} }","mla":"Prager, Raphael Patrick, et al. “Per-Instance Configuration of the Modularized CMA-ES by Means of Classifier Chains and Exploratory Landscape Analysis.” Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI), 2020, pp. 996–1003, doi:10.1109/SSCI47803.2020.9308510.","short":"R.P. Prager, H. Trautmann, H. Wang, T.H.W. Bäck, P. Kerschke, in: Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI), Canberra, Australia, 2020, pp. 996–1003.","chicago":"Prager, Raphael Patrick, Heike Trautmann, Hao Wang, Thomas H. W. Bäck, and Pascal Kerschke. “Per-Instance Configuration of the Modularized CMA-ES by Means of Classifier Chains and Exploratory Landscape Analysis.” In Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI), 996–1003. Canberra, Australia, 2020. https://doi.org/10.1109/SSCI47803.2020.9308510.","apa":"Prager, R. P., Trautmann, H., Wang, H., Bäck, T. H. W., & Kerschke, P. (2020). Per-Instance Configuration of the Modularized CMA-ES by Means of Classifier Chains and Exploratory Landscape Analysis. Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI), 996–1003. https://doi.org/10.1109/SSCI47803.2020.9308510","ieee":"R. P. Prager, H. Trautmann, H. Wang, T. H. W. Bäck, and P. Kerschke, “Per-Instance Configuration of the Modularized CMA-ES by Means of Classifier Chains and Exploratory Landscape Analysis,” in Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI), 2020, pp. 996–1003, doi: 10.1109/SSCI47803.2020.9308510."},"doi":"10.1109/SSCI47803.2020.9308510","user_id":"15504","page":"996–1003","_id":"46328","language":[{"iso":"eng"}],"date_updated":"2023-10-16T13:04:15Z","title":"Per-Instance Configuration of the Modularized CMA-ES by Means of Classifier Chains and Exploratory Landscape Analysis","status":"public","year":"2020","author":[{"first_name":"Raphael Patrick","last_name":"Prager","full_name":"Prager, Raphael Patrick"},{"full_name":"Trautmann, Heike","first_name":"Heike","orcid":"0000-0002-9788-8282","last_name":"Trautmann","id":"100740"},{"last_name":"Wang","first_name":"Hao","full_name":"Wang, Hao"},{"first_name":"Thomas H. W.","last_name":"Bäck","full_name":"Bäck, Thomas H. W."},{"full_name":"Kerschke, Pascal","first_name":"Pascal","last_name":"Kerschke"}]},{"author":[{"full_name":"Carnein, Matthias","first_name":"Matthias","last_name":"Carnein"},{"id":"100740","last_name":"Trautmann","orcid":"0000-0002-9788-8282","first_name":"Heike","full_name":"Trautmann, Heike"},{"last_name":"Bifet","first_name":"Albert","full_name":"Bifet, Albert"},{"full_name":"Pfahringer, Bernhard","first_name":"Bernhard","last_name":"Pfahringer"}],"year":"2020","status":"public","title":"confStream: Automated Algorithm Selection and Configuration of Stream Clustering Algorithms","date_updated":"2023-10-16T13:03:36Z","language":[{"iso":"eng"}],"_id":"46326","page":"80–95","user_id":"15504","doi":"10.1007/978-3-030-53552-0_10","citation":{"mla":"Carnein, Matthias, et al. “ConfStream: Automated Algorithm Selection and Configuration of Stream Clustering Algorithms.” Proceedings of the 14$^th$ Learning and Intelligent Optimization Conference (LION 2020), 2020, pp. 80–95, doi:10.1007/978-3-030-53552-0_10.","ama":"Carnein M, Trautmann H, Bifet A, Pfahringer B. confStream: Automated Algorithm Selection and Configuration of Stream Clustering Algorithms. In: Proceedings of the 14$^th$ Learning and Intelligent Optimization Conference (LION 2020). ; 2020:80–95. doi:10.1007/978-3-030-53552-0_10","bibtex":"@inproceedings{Carnein_Trautmann_Bifet_Pfahringer_2020, place={Athens, Greece}, title={confStream: Automated Algorithm Selection and Configuration of Stream Clustering Algorithms}, DOI={10.1007/978-3-030-53552-0_10}, booktitle={Proceedings of the 14$^th$ Learning and Intelligent Optimization Conference (LION 2020)}, author={Carnein, Matthias and Trautmann, Heike and Bifet, Albert and Pfahringer, Bernhard}, year={2020}, pages={80–95} }","apa":"Carnein, M., Trautmann, H., Bifet, A., & Pfahringer, B. (2020). confStream: Automated Algorithm Selection and Configuration of Stream Clustering Algorithms. Proceedings of the 14$^th$ Learning and Intelligent Optimization Conference (LION 2020), 80–95. https://doi.org/10.1007/978-3-030-53552-0_10","ieee":"M. Carnein, H. Trautmann, A. Bifet, and B. Pfahringer, “confStream: Automated Algorithm Selection and Configuration of Stream Clustering Algorithms,” in Proceedings of the 14$^th$ Learning and Intelligent Optimization Conference (LION 2020), 2020, pp. 80–95, doi: 10.1007/978-3-030-53552-0_10.","chicago":"Carnein, Matthias, Heike Trautmann, Albert Bifet, and Bernhard Pfahringer. “ConfStream: Automated Algorithm Selection and Configuration of Stream Clustering Algorithms.” In Proceedings of the 14$^th$ Learning and Intelligent Optimization Conference (LION 2020), 80–95. Athens, Greece, 2020. https://doi.org/10.1007/978-3-030-53552-0_10.","short":"M. Carnein, H. Trautmann, A. Bifet, B. Pfahringer, in: Proceedings of the 14$^th$ Learning and Intelligent Optimization Conference (LION 2020), Athens, Greece, 2020, pp. 80–95."},"publication":"Proceedings of the 14$^th$ Learning and Intelligent Optimization Conference (LION 2020)","abstract":[{"lang":"eng","text":"Machine learning has become one of the most important tools in data analysis. However, selecting the most appropriate machine learning algorithm and tuning its hyperparameters to their optimal values remains a difficult task. This is even more difficult for streaming applications where automated approaches are often not available to help during algorithm selection and configuration. This paper proposes the first approach for automated algorithm selection and configuration of stream clustering algorithms. We train an ensemble of different stream clustering algorithms and configurations in parallel and use the best performing configuration to obtain a clustering solution. By drawing new configurations from better performing ones, we are able to improve the ensemble performance over time. In large experiments on real and artificial data we show how our ensemble approach can improve upon default configurations and can also compete with a-posteriori algorithm configuration. Our approach is considerably faster than a-posteriori approaches and applicable in real-time. In addition, it is not limited to stream clustering and can be generalised to all streaming applications, including stream classification and regression."}],"date_created":"2023-08-04T07:36:03Z","place":"Athens, Greece","department":[{"_id":"34"},{"_id":"819"}],"type":"conference"},{"author":[{"last_name":"Steinhoff","first_name":"Vera","full_name":"Steinhoff, Vera"},{"first_name":"Pascal","last_name":"Kerschke","full_name":"Kerschke, Pascal"},{"full_name":"Aspar, Pelin","last_name":"Aspar","first_name":"Pelin"},{"id":"100740","full_name":"Trautmann, Heike","first_name":"Heike","last_name":"Trautmann","orcid":"0000-0002-9788-8282"},{"last_name":"Grimme","first_name":"Christian","full_name":"Grimme, Christian"}],"year":"2020","title":"Multiobjectivization of Local Search: Single-Objective Optimization Benefits From Multi-Objective Gradient Descent","status":"public","date_updated":"2023-10-16T13:05:49Z","_id":"46332","language":[{"iso":"eng"}],"page":"2445–2452","doi":"10.1109/SSCI47803.2020.9308259","user_id":"15504","citation":{"chicago":"Steinhoff, Vera, Pascal Kerschke, Pelin Aspar, Heike Trautmann, and Christian Grimme. “Multiobjectivization of Local Search: Single-Objective Optimization Benefits From Multi-Objective Gradient Descent.” In Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI), 2445–2452. Canberra, Australia, 2020. https://doi.org/10.1109/SSCI47803.2020.9308259.","short":"V. Steinhoff, P. Kerschke, P. Aspar, H. Trautmann, C. Grimme, in: Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI), Canberra, Australia, 2020, pp. 2445–2452.","ieee":"V. Steinhoff, P. Kerschke, P. Aspar, H. Trautmann, and C. Grimme, “Multiobjectivization of Local Search: Single-Objective Optimization Benefits From Multi-Objective Gradient Descent,” in Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI), 2020, pp. 2445–2452, doi: 10.1109/SSCI47803.2020.9308259.","apa":"Steinhoff, V., Kerschke, P., Aspar, P., Trautmann, H., & Grimme, C. (2020). Multiobjectivization of Local Search: Single-Objective Optimization Benefits From Multi-Objective Gradient Descent. Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI), 2445–2452. https://doi.org/10.1109/SSCI47803.2020.9308259","bibtex":"@inproceedings{Steinhoff_Kerschke_Aspar_Trautmann_Grimme_2020, place={Canberra, Australia}, title={Multiobjectivization of Local Search: Single-Objective Optimization Benefits From Multi-Objective Gradient Descent}, DOI={10.1109/SSCI47803.2020.9308259}, booktitle={Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI)}, author={Steinhoff, Vera and Kerschke, Pascal and Aspar, Pelin and Trautmann, Heike and Grimme, Christian}, year={2020}, pages={2445–2452} }","ama":"Steinhoff V, Kerschke P, Aspar P, Trautmann H, Grimme C. Multiobjectivization of Local Search: Single-Objective Optimization Benefits From Multi-Objective Gradient Descent. In: Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI). ; 2020:2445–2452. doi:10.1109/SSCI47803.2020.9308259","mla":"Steinhoff, Vera, et al. “Multiobjectivization of Local Search: Single-Objective Optimization Benefits From Multi-Objective Gradient Descent.” Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI), 2020, pp. 2445–2452, doi:10.1109/SSCI47803.2020.9308259."},"publication":"Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI)","abstract":[{"lang":"eng","text":"Multimodality is one of the biggest difficulties for optimization as local optima are often preventing algorithms from making progress. This does not only challenge local strategies that can get stuck. It also hinders meta-heuristics like evolutionary algorithms in convergence to the global optimum. In this paper we present a new concept of gradient descent, which is able to escape local traps. It relies on multiobjectivization of the original problem and applies the recently proposed and here slightly modified multi-objective local search mechanism MOGSA. We use a sophisticated visualization technique for multi-objective problems to prove the working principle of our idea. As such, this work highlights the transfer of new insights from the multi-objective to the single-objective domain and provides first visual evidence that multiobjectivization can link single-objective local optima in multimodal landscapes."}],"place":"Canberra, Australia","date_created":"2023-08-04T07:40:33Z","department":[{"_id":"34"},{"_id":"819"}],"type":"conference"},{"volume":40,"ddc":["620","330"],"user_id":"44549","publisher":"IEEE","_id":"21369","page":"57 - 76","has_accepted_license":"1","status":"public","citation":{"ama":"Protte M, Fahr R, Quevedo DE. Behavioral Economics for Human-in-the-loop Control Systems Design: Overconfidence and the hot hand fallacy. IEEE Control Systems Magazine. 2020;40(6):57-76. doi:10.1109/MCS.2020.3019723","bibtex":"@article{Protte_Fahr_Quevedo_2020, title={Behavioral Economics for Human-in-the-loop Control Systems Design: Overconfidence and the hot hand fallacy}, volume={40}, DOI={10.1109/MCS.2020.3019723}, number={6}, journal={IEEE Control Systems Magazine}, publisher={IEEE}, author={Protte, Marius and Fahr, René and Quevedo, Daniel E.}, year={2020}, pages={57–76} }","mla":"Protte, Marius, et al. “Behavioral Economics for Human-in-the-Loop Control Systems Design: Overconfidence and the Hot Hand Fallacy.” IEEE Control Systems Magazine, vol. 40, no. 6, IEEE, 2020, pp. 57–76, doi:10.1109/MCS.2020.3019723.","short":"M. Protte, R. Fahr, D.E. Quevedo, IEEE Control Systems Magazine 40 (2020) 57–76.","chicago":"Protte, Marius, René Fahr, and Daniel E. Quevedo. “Behavioral Economics for Human-in-the-Loop Control Systems Design: Overconfidence and the Hot Hand Fallacy.” IEEE Control Systems Magazine 40, no. 6 (2020): 57–76. https://doi.org/10.1109/MCS.2020.3019723.","apa":"Protte, M., Fahr, R., & Quevedo, D. E. (2020). Behavioral Economics for Human-in-the-loop Control Systems Design: Overconfidence and the hot hand fallacy. IEEE Control Systems Magazine, 40(6), 57–76. https://doi.org/10.1109/MCS.2020.3019723","ieee":"M. Protte, R. Fahr, and D. E. Quevedo, “Behavioral Economics for Human-in-the-loop Control Systems Design: Overconfidence and the hot hand fallacy,” IEEE Control Systems Magazine, vol. 40, no. 6, pp. 57–76, 2020, doi: 10.1109/MCS.2020.3019723."},"file_date_updated":"2021-03-03T14:21:50Z","doi":"10.1109/MCS.2020.3019723","language":[{"iso":"eng"}],"intvolume":" 40","date_updated":"2023-10-23T10:38:19Z","publication_status":"published","author":[{"id":"44549","first_name":"Marius","last_name":"Protte","full_name":"Protte, Marius"},{"id":"111","full_name":"Fahr, René","last_name":"Fahr","first_name":"René"},{"last_name":"Quevedo","first_name":"Daniel E.","full_name":"Quevedo, Daniel E."}],"year":"2020","title":"Behavioral Economics for Human-in-the-loop Control Systems Design: Overconfidence and the hot hand fallacy","department":[{"_id":"179"}],"type":"journal_article","date_created":"2021-03-03T14:20:10Z","file":[{"date_created":"2021-03-03T14:21:50Z","creator":"mprotte","file_id":"21370","content_type":"application/pdf","success":1,"file_name":"Protte_Fahr_Quevedo.pdf","access_level":"closed","file_size":1501292,"relation":"main_file","date_updated":"2021-03-03T14:21:50Z"}],"abstract":[{"text":"Successful design of human-in-the-loop control sys- tems requires appropriate models for human decision makers. Whilst most paradigms adopted in the control systems literature hide the (limited) decision capability of humans, in behavioral economics individual decision making and optimization processes are well-known to be affected by perceptual and behavioral biases. Our goal is to enrich control engineering with some insights from behavioral economics research through exposing such biases in control-relevant settings.\r\nThis paper addresses the following two key questions:\r\n1) How do behavioral biases affect decision making?\r\n2) What is the role played by feedback in human-in-the-loop control systems?\r\nOur experimental framework shows how individuals behave when faced with the task of piloting an UAV under risk and uncertainty, paralleling a real-world decision-making scenario. Our findings support the notion of humans in Cyberphysical Systems underlying behavioral biases regardless of – or even because of – receiving immediate outcome feedback. We observe substantial shares of drone controllers to act inefficiently through either flying excessively (overconfident) or overly conservatively (underconfident). Furthermore, we observe human-controllers to self-servingly misinterpret random sequences through being subject to a “hot hand fallacy”. We advise control engineers to mind the human component in order not to compromise technological accomplishments through human issues.","lang":"eng"}],"issue":"6","publication":"IEEE Control Systems Magazine"}]