[{"citation":{"bibtex":"@article{Rahlf_Knorr_Althoff_Meschede_2026, title={Analysis of bidirectional EV charging infrastructures within industrial DC grids}, DOI={<a href=\"https://doi.org/10.1016/j.segy.2026.100227\">10.1016/j.segy.2026.100227</a>}, number={100227}, journal={Smart Energy}, publisher={Elsevier BV}, author={Rahlf, Henning Christoph and Knorr, Lukas and Althoff, Simon and Meschede, Henning}, year={2026} }","short":"H.C. Rahlf, L. Knorr, S. Althoff, H. Meschede, Smart Energy (2026).","mla":"Rahlf, Henning Christoph, et al. “Analysis of Bidirectional EV Charging Infrastructures within Industrial DC Grids.” <i>Smart Energy</i>, 100227, Elsevier BV, 2026, doi:<a href=\"https://doi.org/10.1016/j.segy.2026.100227\">10.1016/j.segy.2026.100227</a>.","apa":"Rahlf, H. C., Knorr, L., Althoff, S., &#38; Meschede, H. (2026). Analysis of bidirectional EV charging infrastructures within industrial DC grids. <i>Smart Energy</i>, Article 100227. <a href=\"https://doi.org/10.1016/j.segy.2026.100227\">https://doi.org/10.1016/j.segy.2026.100227</a>","chicago":"Rahlf, Henning Christoph, Lukas Knorr, Simon Althoff, and Henning Meschede. “Analysis of Bidirectional EV Charging Infrastructures within Industrial DC Grids.” <i>Smart Energy</i>, 2026. <a href=\"https://doi.org/10.1016/j.segy.2026.100227\">https://doi.org/10.1016/j.segy.2026.100227</a>.","ieee":"H. C. Rahlf, L. Knorr, S. Althoff, and H. Meschede, “Analysis of bidirectional EV charging infrastructures within industrial DC grids,” <i>Smart Energy</i>, Art. no. 100227, 2026, doi: <a href=\"https://doi.org/10.1016/j.segy.2026.100227\">10.1016/j.segy.2026.100227</a>.","ama":"Rahlf HC, Knorr L, Althoff S, Meschede H. Analysis of bidirectional EV charging infrastructures within industrial DC grids. <i>Smart Energy</i>. Published online 2026. doi:<a href=\"https://doi.org/10.1016/j.segy.2026.100227\">10.1016/j.segy.2026.100227</a>"},"year":"2026","publication_identifier":{"issn":["2666-9552"]},"quality_controlled":"1","publication_status":"published","doi":"10.1016/j.segy.2026.100227","title":"Analysis of bidirectional EV charging infrastructures within industrial DC grids","date_created":"2026-02-02T14:45:17Z","author":[{"first_name":"Henning Christoph","orcid":"0009-0006-8106-2132","last_name":"Rahlf","full_name":"Rahlf, Henning Christoph","id":"56955"},{"first_name":"Lukas","id":"90391","full_name":"Knorr, Lukas","orcid":"0009-0005-4727-7511","last_name":"Knorr"},{"first_name":"Simon","full_name":"Althoff, Simon","last_name":"Althoff"},{"first_name":"Henning","last_name":"Meschede","orcid":"0000-0002-1538-089X","full_name":"Meschede, Henning","id":"86954"}],"publisher":"Elsevier BV","date_updated":"2026-02-03T12:58:44Z","status":"public","abstract":[{"lang":"eng","text":"Industrial electrification is increasing to reduce fossil fuel dependence, alongside a growing share of volatile renewables.\r\nA secure and reliable energy supply is crucial for industry, leading to a shift from centralised to decentralised grid structures.\r\nDC microgrids becoming increasingly popular in industry, since they enable energy recuperation from braking, reduce components and cables, and integrate storage and local generation to manage supply interruptions or peak loads.\r\nEVs add further synergies by serving as mobile storage units, helping to store and redistribute locally generated renewable energy.\r\nThis paper analyses how EV integration in droop-controlled DC grids can contribute to a more stable, low-emission and peak-reduced load profile to the supply grid through load shifting and bridge interruptions.\r\nA droop-controlled DC grid model has been developed, incorporating an EV charging park based on probability functions.\r\nScalable scenarios allow for diverse condition analysis using an energy management system that utilises fuzzy logic and sequential MILP optimisation.\r\nIt has been shown that a 7% improvement of coefficient represented grid-serving behaviour is possible by load shifting.\r\nIt has also been demonstrated that an optimised EMS can reduce the demand-based CO2 emissions by 41kg for a representative day compared to a fuzzy logic EMS.\r\nAt the same time peak load is decreased yielding a more constant residual load.\r\nThese results highlight the potential of a controlled bidirectional charging infrastructure in DC grids and underscore the need to explicitly consider charging processes to ensure a residual load as constant as possible."}],"publication":"Smart Energy","type":"journal_article","language":[{"iso":"eng"}],"keyword":["DC-grid","Droop control","Grid-serving behaviour","Grid stability","Bidirectional charging","Sequential decision","MILP optimisation"],"article_number":"100227","article_type":"original","department":[{"_id":"644"}],"user_id":"56955","_id":"63838"},{"status":"public","editor":[{"full_name":"Rudolph, Günter","last_name":"Rudolph","first_name":"Günter"},{"full_name":"Kononova, Anna V.","last_name":"Kononova","first_name":"Anna V."},{"last_name":"Aguirre","full_name":"Aguirre, Hernán","first_name":"Hernán"},{"first_name":"Pascal","last_name":"Kerschke","full_name":"Kerschke, Pascal"},{"first_name":"Gabriela","full_name":"Ochoa, Gabriela","last_name":"Ochoa"},{"full_name":"Tu\\v sar, Tea","last_name":"Tu\\v sar","first_name":"Tea"}],"type":"conference","extern":"1","department":[{"_id":"819"}],"user_id":"102979","series_title":"Lecture Notes in Computer Science","_id":"48894","page":"237–249","citation":{"chicago":"Nikfarjam, Adel, Aneta Neumann, Jakob Bossek, and Frank Neumann. “Co-Evolutionary Diversity Optimisation for the Traveling Thief Problem.” In <i>Parallel Problem Solving from Nature (PPSN XVII)</i>, edited by Günter Rudolph, Anna V. Kononova, Hernán Aguirre, Pascal Kerschke, Gabriela Ochoa, and Tea Tu\\v sar, 237–249. Lecture Notes in Computer Science. Cham: Springer International Publishing, 2022. <a href=\"https://doi.org/10.1007/978-3-031-14714-2_17\">https://doi.org/10.1007/978-3-031-14714-2_17</a>.","ieee":"A. Nikfarjam, A. Neumann, J. Bossek, and F. Neumann, “Co-Evolutionary Diversity Optimisation for the Traveling Thief Problem,” in <i>Parallel Problem Solving from Nature (PPSN XVII)</i>, 2022, pp. 237–249, doi: <a href=\"https://doi.org/10.1007/978-3-031-14714-2_17\">10.1007/978-3-031-14714-2_17</a>.","ama":"Nikfarjam A, Neumann A, Bossek J, Neumann F. Co-Evolutionary Diversity Optimisation for the Traveling Thief Problem. In: Rudolph G, Kononova AV, Aguirre H, Kerschke P, Ochoa G, Tu\\v sar T, eds. <i>Parallel Problem Solving from Nature (PPSN XVII)</i>. Lecture Notes in Computer Science. Springer International Publishing; 2022:237–249. doi:<a href=\"https://doi.org/10.1007/978-3-031-14714-2_17\">10.1007/978-3-031-14714-2_17</a>","mla":"Nikfarjam, Adel, et al. “Co-Evolutionary Diversity Optimisation for the Traveling Thief Problem.” <i>Parallel Problem Solving from Nature (PPSN XVII)</i>, edited by Günter Rudolph et al., Springer International Publishing, 2022, pp. 237–249, doi:<a href=\"https://doi.org/10.1007/978-3-031-14714-2_17\">10.1007/978-3-031-14714-2_17</a>.","short":"A. Nikfarjam, A. Neumann, J. Bossek, F. Neumann, in: G. Rudolph, A.V. Kononova, H. Aguirre, P. Kerschke, G. Ochoa, T. Tu\\v sar (Eds.), Parallel Problem Solving from Nature (PPSN XVII), Springer International Publishing, Cham, 2022, pp. 237–249.","bibtex":"@inproceedings{Nikfarjam_Neumann_Bossek_Neumann_2022, place={Cham}, series={Lecture Notes in Computer Science}, title={Co-Evolutionary Diversity Optimisation for the Traveling Thief Problem}, DOI={<a href=\"https://doi.org/10.1007/978-3-031-14714-2_17\">10.1007/978-3-031-14714-2_17</a>}, booktitle={Parallel Problem Solving from Nature (PPSN XVII)}, publisher={Springer International Publishing}, author={Nikfarjam, Adel and Neumann, Aneta and Bossek, Jakob and Neumann, Frank}, editor={Rudolph, Günter and Kononova, Anna V. and Aguirre, Hernán and Kerschke, Pascal and Ochoa, Gabriela and Tu\\v sar, Tea}, year={2022}, pages={237–249}, collection={Lecture Notes in Computer Science} }","apa":"Nikfarjam, A., Neumann, A., Bossek, J., &#38; Neumann, F. (2022). Co-Evolutionary Diversity Optimisation for the Traveling Thief Problem. In G. Rudolph, A. V. Kononova, H. Aguirre, P. Kerschke, G. Ochoa, &#38; T. Tu\\v sar (Eds.), <i>Parallel Problem Solving from Nature (PPSN XVII)</i> (pp. 237–249). Springer International Publishing. <a href=\"https://doi.org/10.1007/978-3-031-14714-2_17\">https://doi.org/10.1007/978-3-031-14714-2_17</a>"},"place":"Cham","publication_identifier":{"isbn":["978-3-031-14714-2"]},"publication_status":"published","doi":"10.1007/978-3-031-14714-2_17","author":[{"first_name":"Adel","last_name":"Nikfarjam","full_name":"Nikfarjam, Adel"},{"first_name":"Aneta","last_name":"Neumann","full_name":"Neumann, Aneta"},{"first_name":"Jakob","last_name":"Bossek","orcid":"0000-0002-4121-4668","id":"102979","full_name":"Bossek, Jakob"},{"full_name":"Neumann, Frank","last_name":"Neumann","first_name":"Frank"}],"date_updated":"2023-12-13T10:49:51Z","abstract":[{"lang":"eng","text":"Recently different evolutionary computation approaches have been developed that generate sets of high quality diverse solutions for a given optimisation problem. Many studies have considered diversity 1) as a mean to explore niches in behavioural space (quality diversity) or 2) to increase the structural differences of solutions (evolutionary diversity optimisation). In this study, we introduce a co-evolutionary algorithm to simultaneously explore the two spaces for the multi-component traveling thief problem. The results show the capability of the co-evolutionary algorithm to achieve significantly higher diversity compared to the baseline evolutionary diversity algorithms from the literature."}],"publication":"Parallel Problem Solving from Nature (PPSN XVII)","language":[{"iso":"eng"}],"keyword":["Co-evolutionary algorithms","Evolutionary diversity optimisation","Quality diversity","Traveling thief problem"],"year":"2022","title":"Co-Evolutionary Diversity Optimisation for the Traveling Thief Problem","date_created":"2023-11-14T15:59:00Z","publisher":"Springer International Publishing"},{"type":"conference","publication":"Proceedings of the Genetic and Evolutionary Computation Conference","status":"public","abstract":[{"lang":"eng","text":"Computing diverse sets of high-quality solutions has gained increasing attention among the evolutionary computation community in recent years. It allows practitioners to choose from a set of high-quality alternatives. In this paper, we employ a population diversity measure, called the high-order entropy measure, in an evolutionary algorithm to compute a diverse set of high-quality solutions for the Traveling Salesperson Problem. In contrast to previous studies, our approach allows diversifying segments of tours containing several edges based on the entropy measure. We examine the resulting evolutionary diversity optimisation approach precisely in terms of the final set of solutions and theoretical properties. Experimental results show significant improvements compared to a recently proposed edge-based diversity optimisation approach when working with a large population of solutions or long segments."}],"user_id":"102979","series_title":"GECCO’21","department":[{"_id":"819"}],"_id":"48893","language":[{"iso":"eng"}],"extern":"1","keyword":["evolutionary algorithms","evolutionary diversity optimisation","high-order entropy","traveling salesperson problem"],"publication_identifier":{"isbn":["978-1-4503-8350-9"]},"citation":{"ama":"Nikfarjam A, Bossek J, Neumann A, Neumann F. Entropy-Based Evolutionary Diversity Optimisation for the Traveling Salesperson Problem. In: <i>Proceedings of the Genetic and Evolutionary Computation Conference</i>. GECCO’21. Association for Computing Machinery; 2021:600–608. doi:<a href=\"https://doi.org/10.1145/3449639.3459384\">10.1145/3449639.3459384</a>","ieee":"A. Nikfarjam, J. Bossek, A. Neumann, and F. Neumann, “Entropy-Based Evolutionary Diversity Optimisation for the Traveling Salesperson Problem,” in <i>Proceedings of the Genetic and Evolutionary Computation Conference</i>, 2021, pp. 600–608, doi: <a href=\"https://doi.org/10.1145/3449639.3459384\">10.1145/3449639.3459384</a>.","chicago":"Nikfarjam, Adel, Jakob Bossek, Aneta Neumann, and Frank Neumann. “Entropy-Based Evolutionary Diversity Optimisation for the Traveling Salesperson Problem.” In <i>Proceedings of the Genetic and Evolutionary Computation Conference</i>, 600–608. GECCO’21. New York, NY, USA: Association for Computing Machinery, 2021. <a href=\"https://doi.org/10.1145/3449639.3459384\">https://doi.org/10.1145/3449639.3459384</a>.","bibtex":"@inproceedings{Nikfarjam_Bossek_Neumann_Neumann_2021, place={New York, NY, USA}, series={GECCO’21}, title={Entropy-Based Evolutionary Diversity Optimisation for the Traveling Salesperson Problem}, DOI={<a href=\"https://doi.org/10.1145/3449639.3459384\">10.1145/3449639.3459384</a>}, booktitle={Proceedings of the Genetic and Evolutionary Computation Conference}, publisher={Association for Computing Machinery}, author={Nikfarjam, Adel and Bossek, Jakob and Neumann, Aneta and Neumann, Frank}, year={2021}, pages={600–608}, collection={GECCO’21} }","short":"A. Nikfarjam, J. Bossek, A. Neumann, F. Neumann, in: Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, New York, NY, USA, 2021, pp. 600–608.","mla":"Nikfarjam, Adel, et al. “Entropy-Based Evolutionary Diversity Optimisation for the Traveling Salesperson Problem.” <i>Proceedings of the Genetic and Evolutionary Computation Conference</i>, Association for Computing Machinery, 2021, pp. 600–608, doi:<a href=\"https://doi.org/10.1145/3449639.3459384\">10.1145/3449639.3459384</a>.","apa":"Nikfarjam, A., Bossek, J., Neumann, A., &#38; Neumann, F. (2021). Entropy-Based Evolutionary Diversity Optimisation for the Traveling Salesperson Problem. <i>Proceedings of the Genetic and Evolutionary Computation Conference</i>, 600–608. <a href=\"https://doi.org/10.1145/3449639.3459384\">https://doi.org/10.1145/3449639.3459384</a>"},"page":"600–608","place":"New York, NY, USA","year":"2021","date_created":"2023-11-14T15:59:00Z","author":[{"last_name":"Nikfarjam","full_name":"Nikfarjam, Adel","first_name":"Adel"},{"first_name":"Jakob","last_name":"Bossek","orcid":"0000-0002-4121-4668","id":"102979","full_name":"Bossek, Jakob"},{"full_name":"Neumann, Aneta","last_name":"Neumann","first_name":"Aneta"},{"first_name":"Frank","last_name":"Neumann","full_name":"Neumann, Frank"}],"date_updated":"2023-12-13T10:50:06Z","publisher":"Association for Computing Machinery","doi":"10.1145/3449639.3459384","title":"Entropy-Based Evolutionary Diversity Optimisation for the Traveling Salesperson Problem"},{"title":"Diversifying Greedy Sampling and Evolutionary Diversity Optimisation for Constrained Monotone Submodular Functions","publisher":"Association for Computing Machinery","date_created":"2023-11-14T15:58:59Z","year":"2021","keyword":["evolutionary algorithms","evolutionary diversity optimisation","sub-modular functions"],"language":[{"iso":"eng"}],"abstract":[{"lang":"eng","text":"Submodular functions allow to model many real-world optimisation problems. This paper introduces approaches for computing diverse sets of high quality solutions for submodular optimisation problems with uniform and knapsack constraints. We first present diversifying greedy sampling approaches and analyse them with respect to the diversity measured by entropy and the approximation quality of the obtained solutions. Afterwards, we introduce an evolutionary diversity optimisation (EDO) approach to further improve diversity of the set of solutions. We carry out experimental investigations on popular submodular benchmark problems and analyse trade-offs in terms of solution quality and diversity of the resulting solution sets."}],"publication":"Proceedings of the Genetic and Evolutionary Computation Conference","doi":"10.1145/3449639.3459385","date_updated":"2023-12-13T10:49:25Z","author":[{"first_name":"Aneta","full_name":"Neumann, Aneta","last_name":"Neumann"},{"first_name":"Jakob","orcid":"0000-0002-4121-4668","last_name":"Bossek","full_name":"Bossek, Jakob","id":"102979"},{"last_name":"Neumann","full_name":"Neumann, Frank","first_name":"Frank"}],"place":"New York, NY, USA","citation":{"short":"A. Neumann, J. Bossek, F. Neumann, in: Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, New York, NY, USA, 2021, pp. 261–269.","mla":"Neumann, Aneta, et al. “Diversifying Greedy Sampling and Evolutionary Diversity Optimisation for Constrained Monotone Submodular Functions.” <i>Proceedings of the Genetic and Evolutionary Computation Conference</i>, Association for Computing Machinery, 2021, pp. 261–269, doi:<a href=\"https://doi.org/10.1145/3449639.3459385\">10.1145/3449639.3459385</a>.","bibtex":"@inproceedings{Neumann_Bossek_Neumann_2021, place={New York, NY, USA}, series={GECCO’21}, title={Diversifying Greedy Sampling and Evolutionary Diversity Optimisation for Constrained Monotone Submodular Functions}, DOI={<a href=\"https://doi.org/10.1145/3449639.3459385\">10.1145/3449639.3459385</a>}, booktitle={Proceedings of the Genetic and Evolutionary Computation Conference}, publisher={Association for Computing Machinery}, author={Neumann, Aneta and Bossek, Jakob and Neumann, Frank}, year={2021}, pages={261–269}, collection={GECCO’21} }","apa":"Neumann, A., Bossek, J., &#38; Neumann, F. (2021). Diversifying Greedy Sampling and Evolutionary Diversity Optimisation for Constrained Monotone Submodular Functions. <i>Proceedings of the Genetic and Evolutionary Computation Conference</i>, 261–269. <a href=\"https://doi.org/10.1145/3449639.3459385\">https://doi.org/10.1145/3449639.3459385</a>","chicago":"Neumann, Aneta, Jakob Bossek, and Frank Neumann. “Diversifying Greedy Sampling and Evolutionary Diversity Optimisation for Constrained Monotone Submodular Functions.” In <i>Proceedings of the Genetic and Evolutionary Computation Conference</i>, 261–269. GECCO’21. New York, NY, USA: Association for Computing Machinery, 2021. <a href=\"https://doi.org/10.1145/3449639.3459385\">https://doi.org/10.1145/3449639.3459385</a>.","ieee":"A. Neumann, J. Bossek, and F. Neumann, “Diversifying Greedy Sampling and Evolutionary Diversity Optimisation for Constrained Monotone Submodular Functions,” in <i>Proceedings of the Genetic and Evolutionary Computation Conference</i>, 2021, pp. 261–269, doi: <a href=\"https://doi.org/10.1145/3449639.3459385\">10.1145/3449639.3459385</a>.","ama":"Neumann A, Bossek J, Neumann F. Diversifying Greedy Sampling and Evolutionary Diversity Optimisation for Constrained Monotone Submodular Functions. In: <i>Proceedings of the Genetic and Evolutionary Computation Conference</i>. GECCO’21. Association for Computing Machinery; 2021:261–269. doi:<a href=\"https://doi.org/10.1145/3449639.3459385\">10.1145/3449639.3459385</a>"},"page":"261–269","publication_identifier":{"isbn":["978-1-4503-8350-9"]},"extern":"1","_id":"48891","user_id":"102979","series_title":"GECCO’21","department":[{"_id":"819"}],"status":"public","type":"conference"},{"publication_identifier":{"isbn":["978-1-4503-8352-3"]},"page":"1–11","citation":{"mla":"Nikfarjam, Adel, et al. “Computing Diverse Sets of High Quality TSP Tours by EAX-Based Evolutionary Diversity Optimisation.” <i>Proceedings of the 16th ACM}/SIGEVO Conference on Foundations of Genetic Algorithms</i>, Association for Computing Machinery, 2021, pp. 1–11.","bibtex":"@inbook{Nikfarjam_Bossek_Neumann_Neumann_2021, place={New York, NY, USA}, title={Computing Diverse Sets of High Quality TSP Tours by EAX-based Evolutionary Diversity Optimisation}, booktitle={Proceedings of the 16th ACM}/SIGEVO Conference on Foundations of Genetic Algorithms}, publisher={Association for Computing Machinery}, author={Nikfarjam, Adel and Bossek, Jakob and Neumann, Aneta and Neumann, Frank}, year={2021}, pages={1–11} }","short":"A. Nikfarjam, J. Bossek, A. Neumann, F. Neumann, in: Proceedings of the 16th ACM}/SIGEVO Conference on Foundations of Genetic Algorithms, Association for Computing Machinery, New York, NY, USA, 2021, pp. 1–11.","apa":"Nikfarjam, A., Bossek, J., Neumann, A., &#38; Neumann, F. (2021). Computing Diverse Sets of High Quality TSP Tours by EAX-based Evolutionary Diversity Optimisation. In <i>Proceedings of the 16th ACM}/SIGEVO Conference on Foundations of Genetic Algorithms</i> (pp. 1–11). Association for Computing Machinery.","ieee":"A. Nikfarjam, J. Bossek, A. Neumann, and F. Neumann, “Computing Diverse Sets of High Quality TSP Tours by EAX-based Evolutionary Diversity Optimisation,” in <i>Proceedings of the 16th ACM}/SIGEVO Conference on Foundations of Genetic Algorithms</i>, New York, NY, USA: Association for Computing Machinery, 2021, pp. 1–11.","chicago":"Nikfarjam, Adel, Jakob Bossek, Aneta Neumann, and Frank Neumann. “Computing Diverse Sets of High Quality TSP Tours by EAX-Based Evolutionary Diversity Optimisation.” In <i>Proceedings of the 16th ACM}/SIGEVO Conference on Foundations of Genetic Algorithms</i>, 1–11. New York, NY, USA: Association for Computing Machinery, 2021.","ama":"Nikfarjam A, Bossek J, Neumann A, Neumann F. Computing Diverse Sets of High Quality TSP Tours by EAX-based Evolutionary Diversity Optimisation. In: <i>Proceedings of the 16th ACM}/SIGEVO Conference on Foundations of Genetic Algorithms</i>. Association for Computing Machinery; 2021:1–11."},"year":"2021","place":"New York, NY, USA","author":[{"full_name":"Nikfarjam, Adel","last_name":"Nikfarjam","first_name":"Adel"},{"full_name":"Bossek, Jakob","id":"102979","orcid":"0000-0002-4121-4668","last_name":"Bossek","first_name":"Jakob"},{"first_name":"Aneta","full_name":"Neumann, Aneta","last_name":"Neumann"},{"first_name":"Frank","last_name":"Neumann","full_name":"Neumann, Frank"}],"date_created":"2023-11-14T15:59:00Z","publisher":"Association for Computing Machinery","date_updated":"2023-12-13T10:49:59Z","title":"Computing Diverse Sets of High Quality TSP Tours by EAX-based Evolutionary Diversity Optimisation","publication":"Proceedings of the 16th ACM}/SIGEVO Conference on Foundations of Genetic Algorithms","type":"book_chapter","status":"public","abstract":[{"text":"Evolutionary algorithms based on edge assembly crossover (EAX) constitute some of the best performing incomplete solvers for the well-known traveling salesperson problem (TSP). Often, it is desirable to compute not just a single solution for a given problem, but a diverse set of high quality solutions from which a decision maker can choose one for implementation. Currently, there are only a few approaches for computing a diverse solution set for the TSP. Furthermore, almost all of them assume that the optimal solution is known. In this paper, we introduce evolutionary diversity optimisation (EDO) approaches for the TSP that find a diverse set of tours when the optimal tour is known or unknown. We show how to adopt EAX to not only find a high-quality solution but also to maximise the diversity of the population. The resulting EAX-based EDO approach, termed EAX-EDO is capable of obtaining diverse high-quality tours when the optimal solution for the TSP is known or unknown. A comparison to existing approaches shows that they are clearly outperformed by EAX-EDO.","lang":"eng"}],"department":[{"_id":"819"}],"user_id":"102979","_id":"48892","extern":"1","language":[{"iso":"eng"}],"keyword":["edge assembly crossover (EAX)","evolutionary algorithms","evolutionary diversity optimisation (EDO)","traveling salesperson problem (TSP)"]},{"quality_controlled":"1","year":"2010","citation":{"chicago":"Sondermann-Wölke, Christoph, Tobias Hemsel, Walter Sextro, Jürgen Gausemeier, and Sebastian Pook. “Guideline for the Dependability-Oriented Design of Self-Optimizing Systems.” In <i>Industrial Informatics (INDIN), 2010 8th IEEE International Conference On</i>, 739–44, 2010. <a href=\"https://doi.org/10.1109/INDIN.2010.5549490\">https://doi.org/10.1109/INDIN.2010.5549490</a>.","ieee":"C. Sondermann-Wölke, T. Hemsel, W. Sextro, J. Gausemeier, and S. Pook, “Guideline for the dependability-oriented design of self-optimizing systems,” in <i>Industrial Informatics (INDIN), 2010 8th IEEE International Conference on</i>, 2010, pp. 739–744.","ama":"Sondermann-Wölke C, Hemsel T, Sextro W, Gausemeier J, Pook S. Guideline for the dependability-oriented design of self-optimizing systems. In: <i>Industrial Informatics (INDIN), 2010 8th IEEE International Conference On</i>. ; 2010:739-744. doi:<a href=\"https://doi.org/10.1109/INDIN.2010.5549490\">10.1109/INDIN.2010.5549490</a>","bibtex":"@inproceedings{Sondermann-Wölke_Hemsel_Sextro_Gausemeier_Pook_2010, title={Guideline for the dependability-oriented design of self-optimizing systems}, DOI={<a href=\"https://doi.org/10.1109/INDIN.2010.5549490\">10.1109/INDIN.2010.5549490</a>}, booktitle={Industrial Informatics (INDIN), 2010 8th IEEE International Conference on}, author={Sondermann-Wölke, Christoph and Hemsel, Tobias and Sextro, Walter and Gausemeier, Jürgen and Pook, Sebastian}, year={2010}, pages={739–744} }","short":"C. Sondermann-Wölke, T. Hemsel, W. Sextro, J. Gausemeier, S. Pook, in: Industrial Informatics (INDIN), 2010 8th IEEE International Conference On, 2010, pp. 739–744.","mla":"Sondermann-Wölke, Christoph, et al. “Guideline for the Dependability-Oriented Design of Self-Optimizing Systems.” <i>Industrial Informatics (INDIN), 2010 8th IEEE International Conference On</i>, 2010, pp. 739–44, doi:<a href=\"https://doi.org/10.1109/INDIN.2010.5549490\">10.1109/INDIN.2010.5549490</a>.","apa":"Sondermann-Wölke, C., Hemsel, T., Sextro, W., Gausemeier, J., &#38; Pook, S. (2010). Guideline for the dependability-oriented design of self-optimizing systems. In <i>Industrial Informatics (INDIN), 2010 8th IEEE International Conference on</i> (pp. 739–744). <a href=\"https://doi.org/10.1109/INDIN.2010.5549490\">https://doi.org/10.1109/INDIN.2010.5549490</a>"},"page":"739 -744","date_updated":"2022-01-06T07:04:19Z","author":[{"last_name":"Sondermann-Wölke","full_name":"Sondermann-Wölke, Christoph","first_name":"Christoph"},{"first_name":"Tobias","last_name":"Hemsel","full_name":"Hemsel, Tobias","id":"210"},{"last_name":"Sextro","full_name":"Sextro, Walter","id":"21220","first_name":"Walter"},{"first_name":"Jürgen","full_name":"Gausemeier, Jürgen","last_name":"Gausemeier"},{"last_name":"Pook","full_name":"Pook, Sebastian","first_name":"Sebastian"}],"date_created":"2019-05-13T10:25:26Z","title":"Guideline for the dependability-oriented design of self-optimizing systems","doi":"10.1109/INDIN.2010.5549490","type":"conference","publication":"Industrial Informatics (INDIN), 2010 8th IEEE International Conference on","abstract":[{"lang":"eng","text":"Self-optimizing systems are able to adapt their behavior autonomously according to their current self-determined objectives. Unforeseen influences could lead to dependability-critical behavior of the system. Methods are required which secure self-optimizing systems during operation. These methods to increase the dependability of the system should already be taken into consideration in the design process. This paper presents a guideline for the dependability-oriented design of self-optimizing systems, which integrates established classical methods like failure mode and effects analysis as well as methods based on self-optimization. On the one hand self-optimization is used to increase the dependability of the system by integrating objectives like safety, availability, and reliability to the objectives of the system. On the other hand methods are required to ensure the self-optimization itself. As basis for this guideline serves the principle solution of the system. The six phases of the guideline extend the design process and lead to an enhanced principle solution. Additionally, the guideline illustrates phases to implement and validate the self-optimizing system. The proposed guideline is applied to an innovative rail-bound vehicle, called RailCab, which is equipped with self-optimizing function modules."}],"status":"public","_id":"9760","user_id":"55222","department":[{"_id":"151"}],"keyword":["RailCab","dependability-critical behavior","dependability-oriented design","failure mode","rail-bound vehicle","secure self-optimizing systems","self-optimizing function modules","optimisation","railways","self-adjusting systems"],"language":[{"iso":"eng"}]},{"publication_identifier":{"issn":["1755-5817"]},"issue":"4","year":"2010","citation":{"ieee":"Y. T. Azene, R. Roy, D. Farrugia, C. Onisa, J. Mehnen, and H. Trautmann, “Work roll cooling system design optimisation in presence of uncertainty and constrains,” <i>CIRP Journal of Manufacturing Science and Technology</i>, vol. 2, no. 4, pp. 290–298, 2010, doi: <a href=\"https://doi.org/10.1016/j.cirpj.2010.06.001\">https://doi.org/10.1016/j.cirpj.2010.06.001</a>.","chicago":"Azene, Y.T., R. Roy, D. Farrugia, C. Onisa, J. Mehnen, and Heike Trautmann. “Work Roll Cooling System Design Optimisation in Presence of Uncertainty and Constrains.” <i>CIRP Journal of Manufacturing Science and Technology</i> 2, no. 4 (2010): 290–98. <a href=\"https://doi.org/10.1016/j.cirpj.2010.06.001\">https://doi.org/10.1016/j.cirpj.2010.06.001</a>.","apa":"Azene, Y. T., Roy, R., Farrugia, D., Onisa, C., Mehnen, J., &#38; Trautmann, H. (2010). Work roll cooling system design optimisation in presence of uncertainty and constrains. <i>CIRP Journal of Manufacturing Science and Technology</i>, <i>2</i>(4), 290–298. <a href=\"https://doi.org/10.1016/j.cirpj.2010.06.001\">https://doi.org/10.1016/j.cirpj.2010.06.001</a>","ama":"Azene YT, Roy R, Farrugia D, Onisa C, Mehnen J, Trautmann H. Work roll cooling system design optimisation in presence of uncertainty and constrains. <i>CIRP Journal of Manufacturing Science and Technology</i>. 2010;2(4):290-298. doi:<a href=\"https://doi.org/10.1016/j.cirpj.2010.06.001\">https://doi.org/10.1016/j.cirpj.2010.06.001</a>","short":"Y.T. Azene, R. Roy, D. Farrugia, C. Onisa, J. Mehnen, H. Trautmann, CIRP Journal of Manufacturing Science and Technology 2 (2010) 290–298.","bibtex":"@article{Azene_Roy_Farrugia_Onisa_Mehnen_Trautmann_2010, title={Work roll cooling system design optimisation in presence of uncertainty and constrains}, volume={2}, DOI={<a href=\"https://doi.org/10.1016/j.cirpj.2010.06.001\">https://doi.org/10.1016/j.cirpj.2010.06.001</a>}, number={4}, journal={CIRP Journal of Manufacturing Science and Technology}, author={Azene, Y.T. and Roy, R. and Farrugia, D. and Onisa, C. and Mehnen, J. and Trautmann, Heike}, year={2010}, pages={290–298} }","mla":"Azene, Y. T., et al. “Work Roll Cooling System Design Optimisation in Presence of Uncertainty and Constrains.” <i>CIRP Journal of Manufacturing Science and Technology</i>, vol. 2, no. 4, 2010, pp. 290–98, doi:<a href=\"https://doi.org/10.1016/j.cirpj.2010.06.001\">https://doi.org/10.1016/j.cirpj.2010.06.001</a>."},"intvolume":"         2","page":"290-298","date_updated":"2023-10-16T13:57:23Z","author":[{"first_name":"Y.T.","last_name":"Azene","full_name":"Azene, Y.T."},{"first_name":"R.","last_name":"Roy","full_name":"Roy, R."},{"full_name":"Farrugia, D.","last_name":"Farrugia","first_name":"D."},{"full_name":"Onisa, C.","last_name":"Onisa","first_name":"C."},{"last_name":"Mehnen","full_name":"Mehnen, J.","first_name":"J."},{"orcid":"0000-0002-9788-8282","last_name":"Trautmann","id":"100740","full_name":"Trautmann, Heike","first_name":"Heike"}],"date_created":"2023-08-04T16:09:19Z","volume":2,"title":"Work roll cooling system design optimisation in presence of uncertainty and constrains","doi":"https://doi.org/10.1016/j.cirpj.2010.06.001","type":"journal_article","publication":"CIRP Journal of Manufacturing Science and Technology","abstract":[{"text":"The paper presents a framework to optimise the design of work roll based on the cooling performance. The framework develops meta-models from a set of finite element analyses (FEA) of the roll cooling. A design of experiment technique is used to identify the FEA runs. The research also identifies sources of uncertainties in the design process. A robust evolutionary multi-objective evaluation technique is applied to the design optimisation in constrained problems with real life uncertainty. The approach handles uncertainties associated both with design variables and fitness functions. Constraints violation within the neighbourhood of a design is considered as part of a measurement for degree of feasibility and robustness of a solution.","lang":"eng"}],"status":"public","_id":"46411","user_id":"15504","department":[{"_id":"34"},{"_id":"819"}],"keyword":["Roll cooling design","Uncertainty","Design optimisation","Multi-objective optimisation","Constraint in design"],"language":[{"iso":"eng"}]},{"_id":"11930","user_id":"44006","department":[{"_id":"54"}],"keyword":["acoustic filter-and-sum beamforming","acoustic room impulses","acoustic signal processing","adaptive principal component analysis","adaptive signal processing","architectural acoustics","constrained optimization problem","cross power spectral density","deterministic algorithm","deterministic algorithms","distant-talking environments","eigenvalues and eigenfunctions","eigenvector","enhanced signal","filter-and-sum beamformer","FIR filter coefficients","FIR filter coefficients","FIR filters","gradient methods","human-machine interfaces","iterative estimation","iterative methods","largest eigenvalue","microphone signals","multichannel signal processing","optimisation","principal component analysis","spectral analysis","stochastic gradient ascent algorithm","stochastic processes"],"language":[{"iso":"eng"}],"type":"conference","publication":"IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2005)","abstract":[{"lang":"eng","text":"For human-machine interfaces in distant-talking environments multichannel signal processing is often employed to obtain an enhanced signal for subsequent processing. In this paper we propose a novel adaptation algorithm for a filter-and-sum beamformer to adjust the coefficients of FIR filters to changing acoustic room impulses, e.g. due to speaker movement. A deterministic and a stochastic gradient ascent algorithm are derived from a constrained optimization problem, which iteratively estimates the eigenvector corresponding to the largest eigenvalue of the cross power spectral density of the microphone signals. The method does not require an explicit estimation of the speaker location. The experimental results show fast adaptation and excellent robustness of the proposed algorithm."}],"status":"public","oa":"1","date_updated":"2022-01-06T06:51:12Z","author":[{"first_name":"Ernst","full_name":"Warsitz, Ernst","last_name":"Warsitz"},{"full_name":"Haeb-Umbach, Reinhold","id":"242","last_name":"Haeb-Umbach","first_name":"Reinhold"}],"date_created":"2019-07-12T05:31:00Z","volume":4,"title":"Acoustic filter-and-sum beamforming by adaptive principal component analysis","main_file_link":[{"url":"https://groups.uni-paderborn.de/nt/pubs/2005/WaHa05.pdf","open_access":"1"}],"doi":"10.1109/ICASSP.2005.1416129","year":"2005","citation":{"short":"E. Warsitz, R. Haeb-Umbach, in: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2005), 2005, p. iv/797-iv/800 Vol. 4.","bibtex":"@inproceedings{Warsitz_Haeb-Umbach_2005, title={Acoustic filter-and-sum beamforming by adaptive principal component analysis}, volume={4}, DOI={<a href=\"https://doi.org/10.1109/ICASSP.2005.1416129\">10.1109/ICASSP.2005.1416129</a>}, booktitle={IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2005)}, author={Warsitz, Ernst and Haeb-Umbach, Reinhold}, year={2005}, pages={iv/797-iv/800 Vol. 4} }","mla":"Warsitz, Ernst, and Reinhold Haeb-Umbach. “Acoustic Filter-and-Sum Beamforming by Adaptive Principal Component Analysis.” <i>IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2005)</i>, vol. 4, 2005, p. iv/797-iv/800 Vol. 4, doi:<a href=\"https://doi.org/10.1109/ICASSP.2005.1416129\">10.1109/ICASSP.2005.1416129</a>.","apa":"Warsitz, E., &#38; Haeb-Umbach, R. (2005). Acoustic filter-and-sum beamforming by adaptive principal component analysis. In <i>IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2005)</i> (Vol. 4, p. iv/797-iv/800 Vol. 4). <a href=\"https://doi.org/10.1109/ICASSP.2005.1416129\">https://doi.org/10.1109/ICASSP.2005.1416129</a>","ama":"Warsitz E, Haeb-Umbach R. Acoustic filter-and-sum beamforming by adaptive principal component analysis. In: <i>IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2005)</i>. Vol 4. ; 2005:iv/797-iv/800 Vol. 4. doi:<a href=\"https://doi.org/10.1109/ICASSP.2005.1416129\">10.1109/ICASSP.2005.1416129</a>","ieee":"E. Warsitz and R. Haeb-Umbach, “Acoustic filter-and-sum beamforming by adaptive principal component analysis,” in <i>IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2005)</i>, 2005, vol. 4, p. iv/797-iv/800 Vol. 4.","chicago":"Warsitz, Ernst, and Reinhold Haeb-Umbach. “Acoustic Filter-and-Sum Beamforming by Adaptive Principal Component Analysis.” In <i>IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2005)</i>, 4:iv/797-iv/800 Vol. 4, 2005. <a href=\"https://doi.org/10.1109/ICASSP.2005.1416129\">https://doi.org/10.1109/ICASSP.2005.1416129</a>."},"intvolume":"         4","page":"iv/797-iv/800 Vol. 4"}]