[{"citation":{"ama":"Schmalenstroeer J, Heymann J, Drude L, Boeddeker C, Haeb-Umbach R. Multi-Stage Coherence Drift Based Sampling Rate Synchronization for Acoustic Beamforming. In: <i>IEEE 19th International Workshop on Multimedia Signal Processing (MMSP)</i>. ; 2017.","bibtex":"@inproceedings{Schmalenstroeer_Heymann_Drude_Boeddeker_Haeb-Umbach_2017, title={Multi-Stage Coherence Drift Based Sampling Rate Synchronization for Acoustic Beamforming}, booktitle={IEEE 19th International Workshop on Multimedia Signal Processing (MMSP)}, author={Schmalenstroeer, Joerg and Heymann, Jahn and Drude, Lukas and Boeddeker, Christoph and Haeb-Umbach, Reinhold}, year={2017} }","mla":"Schmalenstroeer, Joerg, et al. “Multi-Stage Coherence Drift Based Sampling Rate Synchronization for Acoustic Beamforming.” <i>IEEE 19th International Workshop on Multimedia Signal Processing (MMSP)</i>, 2017.","short":"J. Schmalenstroeer, J. Heymann, L. Drude, C. Boeddeker, R. Haeb-Umbach, in: IEEE 19th International Workshop on Multimedia Signal Processing (MMSP), 2017.","chicago":"Schmalenstroeer, Joerg, Jahn Heymann, Lukas Drude, Christoph Boeddeker, and Reinhold Haeb-Umbach. “Multi-Stage Coherence Drift Based Sampling Rate Synchronization for Acoustic Beamforming.” In <i>IEEE 19th International Workshop on Multimedia Signal Processing (MMSP)</i>, 2017.","apa":"Schmalenstroeer, J., Heymann, J., Drude, L., Boeddeker, C., &#38; Haeb-Umbach, R. (2017). Multi-Stage Coherence Drift Based Sampling Rate Synchronization for Acoustic Beamforming. <i>IEEE 19th International Workshop on Multimedia Signal Processing (MMSP)</i>.","ieee":"J. Schmalenstroeer, J. Heymann, L. Drude, C. Boeddeker, and R. Haeb-Umbach, “Multi-Stage Coherence Drift Based Sampling Rate Synchronization for Acoustic Beamforming,” 2017."},"publication":"IEEE 19th International Workshop on Multimedia Signal Processing (MMSP)","abstract":[{"lang":"eng","text":"Multi-channel speech enhancement algorithms rely on a synchronous sampling of the microphone signals. This, however, cannot always be guaranteed, especially if the sensors are distributed in an environment. To avoid performance degradation the sampling rate offset needs to be estimated and compensated for. In this contribution we extend the recently proposed coherence drift based method in two important directions. First, the increasing phase shift in the short-time Fourier transform domain is estimated from the coherence drift in a Matched Filterlike fashion, where intermediate estimates are weighted by their instantaneous SNR. Second, an observed bias is removed by iterating between offset estimation and compensation by resampling a couple of times. The effectiveness of the proposed method is demonstrated by speech recognition results on the output of a beamformer with and without sampling rate offset compensation between the input channels. We compare MVDR and maximum-SNR beamformers in reverberant environments and further show that both benefit from a novel phase normalization, which we also propose in this contribution."}],"quality_controlled":"1","related_material":{"link":[{"url":"https://groups.uni-paderborn.de/nt/pubs/2017/MMSP_2017_SchHaeb_poster.pdf","relation":"supplementary_material","description":"Poster"}]},"date_created":"2019-07-12T05:30:20Z","oa":"1","department":[{"_id":"54"}],"type":"conference","author":[{"full_name":"Schmalenstroeer, Joerg","last_name":"Schmalenstroeer","first_name":"Joerg","id":"460"},{"full_name":"Heymann, Jahn","first_name":"Jahn","last_name":"Heymann","id":"9168"},{"first_name":"Lukas","last_name":"Drude","full_name":"Drude, Lukas","id":"11213"},{"last_name":"Boeddeker","first_name":"Christoph","full_name":"Boeddeker, Christoph","id":"40767"},{"first_name":"Reinhold","last_name":"Haeb-Umbach","full_name":"Haeb-Umbach, Reinhold","id":"242"}],"title":"Multi-Stage Coherence Drift Based Sampling Rate Synchronization for Acoustic Beamforming","status":"public","year":"2017","date_updated":"2023-10-26T08:12:05Z","_id":"11895","language":[{"iso":"eng"}],"main_file_link":[{"open_access":"1","url":"https://groups.uni-paderborn.de/nt/pubs/2017/MMSP_2017_SchHaeb.pdf"}],"user_id":"460"},{"page":"183-186","_id":"45396","publisher":"WTM","language":[{"iso":"ger"}],"user_id":"85820","editor":[{"full_name":"Kortenkamp, U.","first_name":"U.","last_name":"Kortenkamp"},{"last_name":"Kuzle","first_name":"A.","full_name":"Kuzle, A."}],"year":"2017","title":"Strategieentwicklung für die Bearbeitung von Textaufgaben","status":"public","author":[{"id":"85820","first_name":"Jennifer","last_name":"Dröse","full_name":"Dröse, Jennifer"},{"first_name":"Susanne","last_name":"Prediger","full_name":"Prediger, Susanne"}],"date_updated":"2023-11-02T08:11:08Z","place":"Münster","date_created":"2023-05-31T08:39:04Z","type":"conference","department":[{"_id":"98"}],"publication":"Beiträge zum Mathematikunterricht 2017 ","citation":{"ieee":"J. Dröse and S. Prediger, “Strategieentwicklung für die Bearbeitung von Textaufgaben,” in <i>Beiträge zum Mathematikunterricht 2017 </i>, 2017, pp. 183–186.","mla":"Dröse, Jennifer, and Susanne Prediger. “Strategieentwicklung für die Bearbeitung von Textaufgaben.” <i>Beiträge zum Mathematikunterricht 2017 </i>, edited by U. Kortenkamp and A. Kuzle, WTM, 2017, pp. 183–86.","apa":"Dröse, J., &#38; Prediger, S. (2017). Strategieentwicklung für die Bearbeitung von Textaufgaben. In U. Kortenkamp &#38; A. Kuzle (Eds.), <i>Beiträge zum Mathematikunterricht 2017 </i> (pp. 183–186). WTM.","bibtex":"@inproceedings{Dröse_Prediger_2017, place={Münster}, title={Strategieentwicklung für die Bearbeitung von Textaufgaben}, booktitle={Beiträge zum Mathematikunterricht 2017 }, publisher={WTM}, author={Dröse, Jennifer and Prediger, Susanne}, editor={Kortenkamp, U. and Kuzle, A.}, year={2017}, pages={183–186} }","short":"J. Dröse, S. Prediger, in: U. Kortenkamp, A. Kuzle (Eds.), Beiträge zum Mathematikunterricht 2017 , WTM, Münster, 2017, pp. 183–186.","ama":"Dröse J, Prediger S. Strategieentwicklung für die Bearbeitung von Textaufgaben. In: Kortenkamp U, Kuzle A, eds. <i>Beiträge zum Mathematikunterricht 2017 </i>. WTM; 2017:183-186.","chicago":"Dröse, Jennifer, and Susanne Prediger. “Strategieentwicklung für die Bearbeitung von Textaufgaben.” In <i>Beiträge zum Mathematikunterricht 2017 </i>, edited by U. Kortenkamp and A. Kuzle, 183–86. Münster: WTM, 2017."},"extern":"1"},{"user_id":"242","language":[{"iso":"eng"}],"_id":"11773","main_file_link":[{"url":"https://groups.uni-paderborn.de/nt/pubs/2017/MRRS_2017_GrimmHaeb_paper.pdf","open_access":"1"}],"date_updated":"2023-11-20T16:38:11Z","author":[{"last_name":"Grimm","first_name":"Christopher","full_name":"Grimm, Christopher"},{"first_name":"Ridha","last_name":"Farhoud","full_name":"Farhoud, Ridha"},{"full_name":"Fei, Tai","last_name":"Fei","first_name":"Tai"},{"last_name":"Warsitz","first_name":"Ernst","full_name":"Warsitz, Ernst"},{"id":"242","full_name":"Haeb-Umbach, Reinhold","first_name":"Reinhold","last_name":"Haeb-Umbach"}],"status":"public","year":"2017","title":"Detection of Moving Targets in Automotive Radar with Distorted Ego-Velocity Information","oa":"1","department":[{"_id":"54"}],"type":"conference","date_created":"2019-07-12T05:27:59Z","quality_controlled":"1","abstract":[{"text":"In this paper we present an algorithm for the detection of moving targets in sight of an automotive radar sensor which can handle distorted ego-velocity information. In situations where biased or none velocity information is provided from the ego-vehicle, the algorithm is able to estimate the ego-velocity based on previously detected stationary targets with high accuracy, subsequently used for the target classification. Compared to existing ego-velocity algorithms our approach provides fast and efficient inference without sacrificing the practical classification accuracy. Other than that the algorithm is characterized by simple parameterization and little but appropriate model assumptions for high accurate production automotive radar sensors.","lang":"eng"}],"citation":{"ieee":"C. Grimm, R. Farhoud, T. Fei, E. Warsitz, and R. Haeb-Umbach, “Detection of Moving Targets in Automotive Radar with Distorted Ego-Velocity Information,” 2017.","apa":"Grimm, C., Farhoud, R., Fei, T., Warsitz, E., &#38; Haeb-Umbach, R. (2017). Detection of Moving Targets in Automotive Radar with Distorted Ego-Velocity Information. <i>IEEE Microwaves, Radar and Remote Sensing Symposium (MRRS)</i>.","chicago":"Grimm, Christopher, Ridha Farhoud, Tai Fei, Ernst Warsitz, and Reinhold Haeb-Umbach. “Detection of Moving Targets in Automotive Radar with Distorted Ego-Velocity Information.” In <i>IEEE Microwaves, Radar and Remote Sensing Symposium (MRRS)</i>, 2017.","short":"C. Grimm, R. Farhoud, T. Fei, E. Warsitz, R. Haeb-Umbach, in: IEEE Microwaves, Radar and Remote Sensing Symposium (MRRS), 2017.","mla":"Grimm, Christopher, et al. “Detection of Moving Targets in Automotive Radar with Distorted Ego-Velocity Information.” <i>IEEE Microwaves, Radar and Remote Sensing Symposium (MRRS)</i>, 2017.","bibtex":"@inproceedings{Grimm_Farhoud_Fei_Warsitz_Haeb-Umbach_2017, title={Detection of Moving Targets in Automotive Radar with Distorted Ego-Velocity Information}, booktitle={IEEE Microwaves, Radar and Remote Sensing Symposium (MRRS)}, author={Grimm, Christopher and Farhoud, Ridha and Fei, Tai and Warsitz, Ernst and Haeb-Umbach, Reinhold}, year={2017} }","ama":"Grimm C, Farhoud R, Fei T, Warsitz E, Haeb-Umbach R. Detection of Moving Targets in Automotive Radar with Distorted Ego-Velocity Information. In: <i>IEEE Microwaves, Radar and Remote Sensing Symposium (MRRS)</i>. ; 2017."},"publication":"IEEE Microwaves, Radar and Remote Sensing Symposium (MRRS)"},{"date_created":"2023-11-14T15:58:55Z","type":"conference","keyword":["evolutionary optimization","software-tools"],"department":[{"_id":"819"}],"publication":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","extern":"1","abstract":[{"lang":"eng","text":"The novel R package ecr (version 2), short for Evolutionary Computation in R, provides a comprehensive collection of building blocks for constructing powerful evolutionary algorithms for single- and multi-objective continuous and combinatorial optimization problems. It allows to solve standard optimization tasks with few lines of code using a black-box approach. Moreover, rapid prototyping of non-standard ideas is possible via an explicit, white-box approach. This paper describes the design principles of the package and gives some introductory examples on how to use the package in practise."}],"language":[{"iso":"eng"}],"series_title":"GECCO ’17","doi":"10.1145/3067695.3082470","title":"Ecr 2.0: A Modular Framework for Evolutionary Computation in R","year":"2017","publication_identifier":{"isbn":["978-1-4503-4939-0"]},"author":[{"first_name":"Jakob","orcid":"0000-0002-4121-4668","last_name":"Bossek","full_name":"Bossek, Jakob","id":"102979"}],"publication_status":"published","date_updated":"2023-12-13T10:45:05Z","place":"New York, NY, USA","citation":{"apa":"Bossek, J. (2017). Ecr 2.0: A Modular Framework for Evolutionary Computation in R. <i>Proceedings of the Genetic and Evolutionary Computation Conference Companion</i>, 1187–1193. <a href=\"https://doi.org/10.1145/3067695.3082470\">https://doi.org/10.1145/3067695.3082470</a>","mla":"Bossek, Jakob. “Ecr 2.0: A Modular Framework for Evolutionary Computation in R.” <i>Proceedings of the Genetic and Evolutionary Computation Conference Companion</i>, Association for Computing Machinery, 2017, pp. 1187–1193, doi:<a href=\"https://doi.org/10.1145/3067695.3082470\">10.1145/3067695.3082470</a>.","ieee":"J. Bossek, “Ecr 2.0: A Modular Framework for Evolutionary Computation in R,” in <i>Proceedings of the Genetic and Evolutionary Computation Conference Companion</i>, 2017, pp. 1187–1193, doi: <a href=\"https://doi.org/10.1145/3067695.3082470\">10.1145/3067695.3082470</a>.","short":"J. Bossek, in: Proceedings of the Genetic and Evolutionary Computation Conference Companion, Association for Computing Machinery, New York, NY, USA, 2017, pp. 1187–1193.","ama":"Bossek J. Ecr 2.0: A Modular Framework for Evolutionary Computation in R. In: <i>Proceedings of the Genetic and Evolutionary Computation Conference Companion</i>. GECCO ’17. Association for Computing Machinery; 2017:1187–1193. doi:<a href=\"https://doi.org/10.1145/3067695.3082470\">10.1145/3067695.3082470</a>","chicago":"Bossek, Jakob. “Ecr 2.0: A Modular Framework for Evolutionary Computation in R.” In <i>Proceedings of the Genetic and Evolutionary Computation Conference Companion</i>, 1187–1193. GECCO ’17. New York, NY, USA: Association for Computing Machinery, 2017. <a href=\"https://doi.org/10.1145/3067695.3082470\">https://doi.org/10.1145/3067695.3082470</a>.","bibtex":"@inproceedings{Bossek_2017, place={New York, NY, USA}, series={GECCO ’17}, title={Ecr 2.0: A Modular Framework for Evolutionary Computation in R}, DOI={<a href=\"https://doi.org/10.1145/3067695.3082470\">10.1145/3067695.3082470</a>}, booktitle={Proceedings of the Genetic and Evolutionary Computation Conference Companion}, publisher={Association for Computing Machinery}, author={Bossek, Jakob}, year={2017}, pages={1187–1193}, collection={GECCO ’17} }"},"page":"1187–1193","_id":"48863","publisher":"Association for Computing Machinery","user_id":"102979","status":"public"},{"publication":"2017 IEEE Symposium Series on Computational Intelligence (SSCI)","citation":{"apa":"Bossek, J., &#38; Grimme, C. (2017). A Pareto-Beneficial Sub-Tree Mutation for the Multi-Criteria Minimum Spanning Tree Problem. <i>2017 IEEE Symposium Series on Computational Intelligence (SSCI)</i>, 1–8. <a href=\"https://doi.org/10.1109/SSCI.2017.8285183\">https://doi.org/10.1109/SSCI.2017.8285183</a>","ieee":"J. Bossek and C. Grimme, “A Pareto-Beneficial Sub-Tree Mutation for the Multi-Criteria Minimum Spanning Tree Problem,” in <i>2017 IEEE Symposium Series on Computational Intelligence (SSCI)</i>, 2017, pp. 1–8, doi: <a href=\"https://doi.org/10.1109/SSCI.2017.8285183\">10.1109/SSCI.2017.8285183</a>.","chicago":"Bossek, Jakob, and Christian Grimme. “A Pareto-Beneficial Sub-Tree Mutation for the Multi-Criteria Minimum Spanning Tree Problem.” In <i>2017 IEEE Symposium Series on Computational Intelligence (SSCI)</i>, 1–8, 2017. <a href=\"https://doi.org/10.1109/SSCI.2017.8285183\">https://doi.org/10.1109/SSCI.2017.8285183</a>.","short":"J. Bossek, C. Grimme, in: 2017 IEEE Symposium Series on Computational Intelligence (SSCI), 2017, pp. 1–8.","mla":"Bossek, Jakob, and Christian Grimme. “A Pareto-Beneficial Sub-Tree Mutation for the Multi-Criteria Minimum Spanning Tree Problem.” <i>2017 IEEE Symposium Series on Computational Intelligence (SSCI)</i>, 2017, pp. 1–8, doi:<a href=\"https://doi.org/10.1109/SSCI.2017.8285183\">10.1109/SSCI.2017.8285183</a>.","ama":"Bossek J, Grimme C. A Pareto-Beneficial Sub-Tree Mutation for the Multi-Criteria Minimum Spanning Tree Problem. In: <i>2017 IEEE Symposium Series on Computational Intelligence (SSCI)</i>. ; 2017:1–8. doi:<a href=\"https://doi.org/10.1109/SSCI.2017.8285183\">10.1109/SSCI.2017.8285183</a>","bibtex":"@inproceedings{Bossek_Grimme_2017, title={A Pareto-Beneficial Sub-Tree Mutation for the Multi-Criteria Minimum Spanning Tree Problem}, DOI={<a href=\"https://doi.org/10.1109/SSCI.2017.8285183\">10.1109/SSCI.2017.8285183</a>}, booktitle={2017 IEEE Symposium Series on Computational Intelligence (SSCI)}, author={Bossek, Jakob and Grimme, Christian}, year={2017}, pages={1–8} }"},"extern":"1","abstract":[{"text":"While finding minimum-cost spanning trees (MST) in undirected graphs is solvable in polynomial time, the multi-criteria minimum spanning tree problem (mcMST) is NP-hard. Interestingly, the mcMST problem has not been in focus of evolutionary computation research for a long period of time, although, its relevance for real world problems is easy to see. The available and most notable approaches by Zhou and Gen as well as by Knowles and Corne concentrate on solution encoding and on fairly dated selection mechanisms. In this work, we revisit the mcMST and focus on the mutation operators as exploratory components of evolutionary algorithms neglected so far. We investigate optimal solution characteristics to discuss current mutation strategies, identify shortcomings of these operators, and propose a sub-tree based operator which offers what we term Pareto-beneficial behavior: ensuring convergence and diversity at the same time. The operator is empirically evaluated inside modern standard evolutionary meta-heuristics for multi-criteria optimization and compared to hitherto applied mutation operators in the context of mcMST.","lang":"eng"}],"date_created":"2023-11-14T15:58:54Z","keyword":["Convergence","Encoding","Euclidean distance","Evolutionary computation","Heating systems","Optimization","Standards"],"type":"conference","department":[{"_id":"819"}],"status":"public","title":"A Pareto-Beneficial Sub-Tree Mutation for the Multi-Criteria Minimum Spanning Tree Problem","year":"2017","author":[{"full_name":"Bossek, Jakob","orcid":"0000-0002-4121-4668","first_name":"Jakob","last_name":"Bossek","id":"102979"},{"last_name":"Grimme","first_name":"Christian","full_name":"Grimme, Christian"}],"publication_status":"published","date_updated":"2023-12-13T10:44:28Z","page":"1–8","_id":"48857","language":[{"iso":"eng"}],"user_id":"102979","doi":"10.1109/SSCI.2017.8285183"},{"type":"conference","keyword":["Evolutionary computation","Processor scheduling","Schedules","Scheduling","Sociology","Standards","Statistics"],"department":[{"_id":"819"}],"date_created":"2023-11-14T15:58:54Z","extern":"1","abstract":[{"text":"There exist many optimal or heuristic priority rules for machine scheduling problems, which can easily be integrated into single-objective evolutionary algorithms via mutation operators. However, in the multi-objective case, simultaneously applying different priorities for different objectives may cause severe disruptions in the genome and may lead to inferior solutions. In this paper, we combine an existing mutation operator concept with new insights from detailed observation of the structure of solutions for multi-objective machine scheduling problems. This allows the comprehensive integration of priority rules to produce better Pareto-front approximations. We evaluate the extended operator concept compared to standard swap mutation and the stand-alone components of our hybrid scheme, which performs best in all evaluated cases.","lang":"eng"}],"publication":"2017 IEEE Symposium Series on Computational Intelligence (SSCI)","citation":{"chicago":"Bossek, Jakob, and Christian Grimme. “An Extended Mutation-Based Priority-Rule Integration Concept for Multi-Objective Machine Scheduling.” In <i>2017 IEEE Symposium Series on Computational Intelligence (SSCI)</i>, 1–8, 2017. <a href=\"https://doi.org/10.1109/SSCI.2017.8285224\">https://doi.org/10.1109/SSCI.2017.8285224</a>.","ama":"Bossek J, Grimme C. An Extended Mutation-Based Priority-Rule Integration Concept for Multi-Objective Machine Scheduling. In: <i>2017 IEEE Symposium Series on Computational Intelligence (SSCI)</i>. ; 2017:1–8. doi:<a href=\"https://doi.org/10.1109/SSCI.2017.8285224\">10.1109/SSCI.2017.8285224</a>","short":"J. Bossek, C. Grimme, in: 2017 IEEE Symposium Series on Computational Intelligence (SSCI), 2017, pp. 1–8.","bibtex":"@inproceedings{Bossek_Grimme_2017, title={An Extended Mutation-Based Priority-Rule Integration Concept for Multi-Objective Machine Scheduling}, DOI={<a href=\"https://doi.org/10.1109/SSCI.2017.8285224\">10.1109/SSCI.2017.8285224</a>}, booktitle={2017 IEEE Symposium Series on Computational Intelligence (SSCI)}, author={Bossek, Jakob and Grimme, Christian}, year={2017}, pages={1–8} }","apa":"Bossek, J., &#38; Grimme, C. (2017). An Extended Mutation-Based Priority-Rule Integration Concept for Multi-Objective Machine Scheduling. <i>2017 IEEE Symposium Series on Computational Intelligence (SSCI)</i>, 1–8. <a href=\"https://doi.org/10.1109/SSCI.2017.8285224\">https://doi.org/10.1109/SSCI.2017.8285224</a>","mla":"Bossek, Jakob, and Christian Grimme. “An Extended Mutation-Based Priority-Rule Integration Concept for Multi-Objective Machine Scheduling.” <i>2017 IEEE Symposium Series on Computational Intelligence (SSCI)</i>, 2017, pp. 1–8, doi:<a href=\"https://doi.org/10.1109/SSCI.2017.8285224\">10.1109/SSCI.2017.8285224</a>.","ieee":"J. Bossek and C. Grimme, “An Extended Mutation-Based Priority-Rule Integration Concept for Multi-Objective Machine Scheduling,” in <i>2017 IEEE Symposium Series on Computational Intelligence (SSCI)</i>, 2017, pp. 1–8, doi: <a href=\"https://doi.org/10.1109/SSCI.2017.8285224\">10.1109/SSCI.2017.8285224</a>."},"user_id":"102979","doi":"10.1109/SSCI.2017.8285224","page":"1–8","language":[{"iso":"eng"}],"_id":"48856","publication_status":"published","date_updated":"2023-12-13T10:44:36Z","title":"An Extended Mutation-Based Priority-Rule Integration Concept for Multi-Objective Machine Scheduling","status":"public","year":"2017","author":[{"id":"102979","last_name":"Bossek","orcid":"0000-0002-4121-4668","first_name":"Jakob","full_name":"Bossek, Jakob"},{"full_name":"Grimme, Christian","last_name":"Grimme","first_name":"Christian"}]},{"date_updated":"2023-12-13T10:52:04Z","intvolume":"         2","year":"2017","title":"mcMST: A Toolbox for the Multi-Criteria Minimum Spanning Tree Problem","status":"public","author":[{"id":"102979","orcid":"0000-0002-4121-4668","last_name":"Bossek","first_name":"Jakob","full_name":"Bossek, Jakob"}],"publication_identifier":{"issn":["2475-9066"]},"doi":"10.21105/joss.00374","user_id":"102979","volume":2,"page":"374","_id":"48864","language":[{"iso":"eng"}],"abstract":[{"lang":"eng","text":"Bossek, (2017), mcMST: A Toolbox for the Multi-Criteria Minimum Spanning Tree Problem, Journal of Open Source Software, 2(17), 374, doi:10.21105/joss.00374"}],"issue":"17","publication":"Journal of Open Source Software","citation":{"ieee":"J. Bossek, “mcMST: A Toolbox for the Multi-Criteria Minimum Spanning Tree Problem,” <i>Journal of Open Source Software</i>, vol. 2, no. 17, p. 374, 2017, doi: <a href=\"https://doi.org/10.21105/joss.00374\">10.21105/joss.00374</a>.","apa":"Bossek, J. (2017). mcMST: A Toolbox for the Multi-Criteria Minimum Spanning Tree Problem. <i>Journal of Open Source Software</i>, <i>2</i>(17), 374. <a href=\"https://doi.org/10.21105/joss.00374\">https://doi.org/10.21105/joss.00374</a>","short":"J. Bossek, Journal of Open Source Software 2 (2017) 374.","chicago":"Bossek, Jakob. “McMST: A Toolbox for the Multi-Criteria Minimum Spanning Tree Problem.” <i>Journal of Open Source Software</i> 2, no. 17 (2017): 374. <a href=\"https://doi.org/10.21105/joss.00374\">https://doi.org/10.21105/joss.00374</a>.","mla":"Bossek, Jakob. “McMST: A Toolbox for the Multi-Criteria Minimum Spanning Tree Problem.” <i>Journal of Open Source Software</i>, vol. 2, no. 17, 2017, p. 374, doi:<a href=\"https://doi.org/10.21105/joss.00374\">10.21105/joss.00374</a>.","bibtex":"@article{Bossek_2017, title={mcMST: A Toolbox for the Multi-Criteria Minimum Spanning Tree Problem}, volume={2}, DOI={<a href=\"https://doi.org/10.21105/joss.00374\">10.21105/joss.00374</a>}, number={17}, journal={Journal of Open Source Software}, author={Bossek, Jakob}, year={2017}, pages={374} }","ama":"Bossek J. mcMST: A Toolbox for the Multi-Criteria Minimum Spanning Tree Problem. <i>Journal of Open Source Software</i>. 2017;2(17):374. doi:<a href=\"https://doi.org/10.21105/joss.00374\">10.21105/joss.00374</a>"},"type":"journal_article","department":[{"_id":"819"}],"date_created":"2023-11-14T15:58:55Z"},{"intvolume":"         9","date_updated":"2023-12-13T10:51:57Z","author":[{"full_name":"Bossek, Jakob","first_name":"Jakob","last_name":"Bossek","orcid":"0000-0002-4121-4668","id":"102979"}],"publication_identifier":{"issn":["2073-4859"]},"status":"public","title":"Smoof: Single- and Multi-Objective Optimization Test Functions","year":"2017","volume":9,"user_id":"102979","_id":"48865","language":[{"iso":"eng"}],"page":"103–113","citation":{"short":"J. 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