Prof. Dr. Heike Trautmann

Prof. Dr. Heike Trautmann

Leonardo Campus 3
48149 Münster

Sprechzeiten

nach Vereinbarung

  • Forschungsschwerpunkte

    • Mehrkriterielle Optimierung
    • Evolutionäre Optimierung
    • Automatisierte Algorithmenselektion und -konfiguration
    • Data Stream Mining
    • Data Science
    • Künstliche Intelligenz
  • Vita

    Akademische Ausbildung

    Habilitation im Fach Statistik: ”Statistical and Experimental Methods in Single- and Multi- Objective (Evolutionary) Optimization”, TU Dortmund, Deutschland
    Promotion im Fach Statistik: „Qualitätskontrolle in der Industrie anhand von Kontrollkarten für Wünschbarkeitsindizes - Anwendungsfeld Lagerverwaltung“, Graduate School of Production Engineering and Logistics, Universität Dortmund, Deutschland
    Studium der Statistik, Universität Dortmund, Deutschland
    Studium der Wirtschaftsmathematik, Universität Dortmund, Deutschland

    Beruflicher Werdegang

    Professor of Data Science: Statistics and Optimization, University of Twente, NL
    Pascal Professorin, LIACS, Universität Leiden, Niederlande
    Prodekanin für Internationales, Wirtschaftswissenschaftliche Fakultät
    Professorin für Wirtschaftsinformatik und Statistik, WWU Münster, Deutschland
    Postdoktorandin, Lehrstuhl für Computergestützte Statistik, TU Dortmund, Deutschland
    DFG Forschungsstipendium: „Der Einfluss von Modellunsicherheiten bei Wünschbarkeitsindizes und Pareto-Optimierung“, TU Dortmund, Deutschland
    Graduiertenkolleg Statistische Modellbildung, Universität Dortmund. Deutschland, Postdoktorandenstipendium
    Graduate School of Production Engineering and Logistics, Universität Dortmund, Deutschland, Doktorandenstipendium
    Roland Berger Strategy Consultants, München, Deutschland, Business Analytics Consultant
    Marketing Systems GmbH, Essen, Germany, Consultant

    Mitgliedschaften und Aktivitäten in Gremien

    Confederation of Laboratories for Artificial Intelligence Research in Europe (CLAIRE), Key supporter
    Wissenschaftliche Beirätin, Westphalia Data Lab (WDL), Münster
    ACM full member, ACM Sigevo
    Foundations of Genetic Algorithms (FOGA), Mitglied im Programmkomittee
    EVOLVE - A bridge between Probability, Set Oriented Numerics and Evolutionary Computation, Mitglied im Programmkomitee
    ACM-SIGEVO, Special Interest Group for Genetic and Evolutionary Computation, Association for Computing Machinery
    Global Young Faculty, Stiftung Mercator
    Genetic and Evolutionary Computation Conference (GECCO) , Mitglied im Programmkomitee
    International Conference on Parallel Problem Solving From Nature (PPSN), Mitglied im Programmkomitee
    IEEE Congress on Evolutionary Computation (CEC), Mitglied im Programmkomitee
  • Publikationen

    • Schäpermeier, Lennart; Kerschke, Pascal; Grimme, Christian; Trautmann, Heike. . ‘Peak-A-Boo! Generating Multi-Objective Multiple Peaks Benchmark Problems with Precise Pareto Sets.’ In Proceedings of the International Conference Series on Evolutionary Multi-Criterion Optimization, edited by Li, Ke; Wang, Hao, 291–304. Cham: Springer. doi: 10.1007/978-3-031-27250-9_21.
    • Prager RP; Trautmann H. . ‘Nullifying the Inherent Bias of Non-invariant Exploratory Landscape Analysis Features.’ In Applications of Evolutionary Computation, edited by Correia J; Smith S; Qaddoura R, 411–425. Cham: Springer Nature. doi: 10.1007/978-3-031-30229-9_27.
    • Prager, Raphael Patrick; Trautmann, Heike. . ‘Pflacco: Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems in Python.’ Evolutionary Computation . [accepted / in Press (not yet published)]
    • Seiler, Moritz Vinzent; Prager, Raphael Patrick; Kerschke, Pascal; Trautmann, Heike. . ‘A Collection of Deep Learning-based Feature-Free Approaches for Characterizing Single-Objective Continuous Fitness Landscapes.’ In Proceedings of the Genetic and Evolutionary Computation Conference, edited by -, 657–665. New York, NY, USA: Association for Computing Machinery. doi: 10.1145/3512290.3528834.
    • Pohl, Janina Susanne; Assenmacher, Dennis; Seiler, Moritz Vincent; Trautmann, Heike; Grimme, Christian. . ‘Artificial Social Media Campaign Creation for Benchmarking and Challenging Detection Approaches.’ In Workshop Proceedings of the 16th International Conference on Web and Social Media (ICWSM), edited by Association for the Advancement of Artificial Intelligence (AAAI), 1–10. Palo Alto, CA, USA: AAAI Press. doi: 10.36190/2022.91.
    • Prager, Raphael Patrick; Seiler, Moritz Vinzent; Trautmann, Heike; Kerschke, Pascal. . ‘Automated Algorithm Selection in Single-Objective Continuous Optimization: A Comparative Study of Deep Learning and Landscape Analysis Methods.’ In Parallel Problem Solving from Nature -- PPSN XVII, edited by Rudolph, Günter; Kononova, Anna V.; Aguirre, Hernán; Kerschke, Pascal; Ochoa, Gabriela; Tušar, Tea, 3–17. Cham: Springer International Publishing. doi: 10.1007/978-3-031-14714-2_1.
    • Schneider, Lennart; Schäpermeier, Lennart; Prager, Raphael Patrick; Bischl, Bernd; Trautmann, Heike; Kerschke, Pascal. . ‘HPO x ELA: Investigating Hyperparameter Optimization Landscapes by Means of Exploratory Landscape Analysis.’ In Parallel Problem Solving from Nature -- PPSN XVII, edited by Rudolph, Günter; Kononova, Anna V.; Aguirre, Hernán; Kerschke, Pascal; Ochoa, Gabriela; Tušar, Tea, 575–589. Cham: Springer International Publishing. doi: 10.1007/978-3-031-14714-2_40.
    • Niemann, Marco; Assenmacher, Dennis; Brunk, Jens; Riehle, Dennis Maximilian; Becker, Jörg; Trautmann, Heike. . „(Semi-)Automatische Kommentarmoderation zur Erhaltung Konstruktiver Diskurse.“ In Hate Speech - Definitionen, Ausprägungen, Lösungen, herausgegeben von Weitzel, Gerrit; Mündges, Stephan, 249–274. Wiesbaden: VS Verlag für Sozialwissenschaften. doi: 10.1007/978-3-658-35658-3_13.
    • Clever, Lena; Pohl, Janina Susanne; Bossek, Jakob; Kerschke, Pascal; Trautmann, Heike. . ‘Process-Oriented Stream Classification Pipeline: A Literature Review.’ Applied Sciences 12, Nr. 8: 1–44. doi: 10.3390/app12189094.
    • Leszkiewicz, Agata; Bucur, Doina; Grimme, Christian; Michalski, Radoslaw; Clever, Lena; Pohl, Janina Susanne; Rook, Jeroen; Bossek, Jakob; Preuss, Mike; Squillero, Giovanni; Quer, Stefano; Calabrese, Andrea; Iacca, Giovanni; Kizgin, Hatice; Trautmann, Heike. . ‘Social Influence Analysis (SIA) in Online Social Networks.’ In Proceedings of the 4th Multidisciplinary International Symposium on Disinformation in Open Online Media (MISDOOM), edited by Spezzano, F; Amaral, A; Ceolin, D; Fazio, L; Serra, E, 1–2. Boise, ID, USA: Springer.
    • Aspar, Pelin; Steinhoff, Vera; Schäpermeier, Lennart; Kerschke, Pascal; Trautmann, Heike; Grimme, Christian. . ‘The objective that freed me: a multi-objective local search approach for continuous single-objective optimization.’ Natural Computing 22, Nr. 2: 271–285. doi: 10.1007/s11047-022-09919-w.
    • Heins J, Rook J, Schäpermeier L, Kerschke P, Bossek J, Trautmann H. . ‘BBE: Basin-Based Evaluation of Multimodal Multi-objective Optimization Problems.’ In Parallel Problem Solving from Nature -- PPSN XVII, edited by Rudolph G, Kononova AV, Aguirre H, Kerschke P, Ochoa G, Tu{š}ar T, 192–206. Cham: Springer International Publishing.
    • Assenmacher D, Trautmann H. . ‘Textual One-Pass Stream Clustering with Automated Distance Threshold Adaption.’ In Intelligent Information and Database Systems, edited by Tran, T et al., 3–16. Cham: Springer International Publishing. doi: 10.1007/978-3-031-21743-2_1.
    • Rook J, Trautmann H, Bossek J, Grimme C. . ‘On the Potential of Automated Algorithm Configuration on Multi-Modal Multi-Objective Optimization Problems.’ In Proceedings of the Genetic and Evolutionary Computation Conference Companion, edited by Fieldsend, J; Wagner, M., 356–359. New York, NY, USA: Association for Computing Machinery. doi: 10.1145/3520304.3528998.
    • Heins, Jonathan; Bossek, Jakob; Pohl, Janina Susanne; Seiler, Moritz Vincent; Trautmann, Heike; Kerschke, Pascal. . ‘A Study on the Effects of Normalized TSP Features for Automated Algorithm Selection.’ Theoretical Computer Science 940. doi: 10.1016/j.tcs.2022.10.019.
    • Rodrigues Agatha, Kerschke Pascal, de B. Pereira Carlos Alberto, Trautmann Heike, Wagner Carolin, Hellingrath Bernd, Polpo Adriano. . ‘Estimation of component reliability from superposed renewal processes by means of latent variables.’ Computational Statistics 2021. doi: 10.1007/s00180-021-01124-0.
    • Assenmacher Dennis, Weber Derek, Preuss Mike, Calero Valdez André, Bradshaw Alison, Ross Björn, Cresci Stefano, Trautmann Heike, Neumann Frank, Grimme Christian. . ‘Benchmarking Crisis in Social Media Analytics: A Solution for the Data-Sharing Problem.’ Social Science Computer Review online first. doi: 10.1177/08944393211012268.
    • Coombs, Crispin; Stacey, Patrick; Kawalek, Peter; Simeonova, Boyka; Becker, Jörg; Bergener, Katrin; Carvalho, João Álvaro; Fantinato, Marcelo; Garmann-Johnsen, Niels F.; Grimme, Christian; Stein, Armin; Trautmann, Heike. . ‘What Is It About Humanity That We Can’t Give Away To Intelligent Machines? A European Perspective.’ International Journal of Information Management 58. doi: 10.1016/j.ijinfomgt.2021.102311.
    • Aspar Pelin, Kerschke Pascal, Steinhoff Vera, Trautmann Heike, Grimme Christian. . ‘Multi^3: Optimizing Multimodal Single-Objective Continuous Problems in the Multi-Objective Space by Means of Multiobjectivization.’ In Evolutionary Multi-Criterion Optimization: 11th International Conference, EMO 2021, Shenzhen, China, March 28–31, 2021, Proceedings, edited by Ishibuchi, H. et al., 311–322. Heidelberg, Berlin: Springer. doi: 10.1007/978-3-030-72062-9_25.
    • Prager, Raphael Patrick Seiler, Moritz Vinzent Trautmann, Heike Kerschke, Pascal. . ‘Towards Feature-Free Automated Algorithm Selection for Single-Objective Continuous Black-Box Optimization.’ Contributed to the IEEE Symposium Series on Computational Intelligence, Orlando, Florida, USA.
    • Assenmacher Dennis, Niemann Marco, Müller Kilian, Seiler Moritz V., Riehle Dennis M., Trautmann Heike. . ‘RP-Mod & RP-Crowd: Moderator- and Crowd-Annotated German News Comment Datasets.’ Contributed to the Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1 (NeurIPS Datasets and Benchmarks 2021), Virtual Event.
    • Grimme C, Kerschke P, Aspar P, Trautmann H, Preuss M, Deutz AH, Wang H, Emmerich M. . ‘Peeking beyond peaks: Challenges and research potentials of continuous multimodal multi-objective optimization.’ Computers and Operations Research 136: 105489. doi: 10.1016/j.cor.2021.105489.
    • Heins Jonathan, Bossek Jakob, Pohl Janina, Seiler Moritz, Trautmann Heike, Kerschke Pascal. . ‘On the Potential of Normalized TSP Features for Automated Algorithm Selection.’ In Proceedings of the 16th ACM/SIGEVO Conference on Foundations of genetic Algorithms (FOGA XVI), edited by Association for Computing Machinery, 1–15. Dornbirn, Austria: Association for Computing Machinery. doi: 10.1145/3450218.3477308.
    • Bossek Jakob, Grimme Christian, Rudolph Günter, Trautmann Heike. . ‘Towards Decision Support in Dynamic Bi-Objective Vehicle Routing.’ In Proceedings of the IEEE Congress on Evolutionary Computation (CEC), 1–8. doi: 10.1109/CEC48606.2020.9185778.
    • Bossek Jakob, Grimme Christian, Trautmann Heike. . ‘Dynamic Bi-Objective Routing of Multiple Vehicles.’ In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '20), 166–174.: ACM.
    • Seiler Moritz Vinzent, Trautmann Heike, Kerschke Pascal. . ‘Enhancing Resilience of Deep Learning Networks By Means of Transferable Adversaries.’ Contributed to the International Joint Conference on Neural Networks (IJCNN), Glasgow, UK. doi: 10.1109/IJCNN48605.2020.9207338.
    • Bossek Jakob, Kerschke Pascal, Trautmann Heike. . ‘Anytime Behavior of Inexact TSP Solvers and Perspectives for Automated Algorithm Selection.’ Contributed to the IEEE Congress on Evolutionary Computation (CEC), Glasgow, UK.
    • Riehle Dennis M., Niemann Marco, Brunk Jens, Assenmacher Dennis, Trautmann Heike, Becker Jörg. . ‘Building an Integrated Comment Moderation System - Towards a Semi-Automatic Moderation tool.’ Contributed to the HCI International 2020, Copenhagen, Denmark. doi: 10.1007/978-3-030-49576-3_6.
    • Carnein Matthias, Trautmann Heike, Bifet Albert, Pfahringer Bernhard. . ‘confStream: Automated Algorithm Selection and Configuration of Stream Clustering Algorithms.’ Contributed to the 14th Learning and Intelligent Optimization Conference (LION 2020), Athens, Greece. doi: 10.1007/978-3-030-53552-0_10.
    • Assenmacher Dennis, Adam Lena , Frischlich Lena , Trautmann Heike , Grimme Christian. . ‘Inside the tool set of automation: Free social bot code revisited.’ In Disinformation in open online media, edited by Grimme Christian, Preuß Mike, Takes Frank, Waldherr Annie, 101–114. Wiesbaden: Springer.
    • Lena Clever, Frischlich Lena, Trautmann Heike, Grimme Christian. . ‘Automated detection of nostalgic text in the context of societal pessimism.’ In Disinformation in open online media, edited by Grimme Christian, Preuß Mike, Takes Frank, Waldherr Annie, 48–58.
    • Bossek Jakob, Kerschke Pascal, Trautmann Heike. . ‘A Multi-Objective Perspective on Performance Assessment and Automated Selection of Single-Objective Optimization Algorithms.’ Applied Soft Computing Journal 2020, Nr. 88: 105901. doi: 10.1016/j.asoc.2019.105901.
    • Carnein Matthias, Trautmann Heike, Bifet Albert, Pfahringer Bernhard. . ‘Towards Automated Configuration of Stream Clustering Algorithms.’ Contributed to the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD '19), Würzburg, Germany. doi: 10.1007/978-3-030-43823-4_12.
    • Assenmacher D, Clever L, Pohl JS, Trautmann H, Grimme C. . ‘A Two-Phase Framework for Detecting Manipulation Campaigns in Social Media.’ In Proceedings of the International Conference on Human-Computer Interaction (HCII 2020): Social Computing and Social Media. Design, Ethics, User Behavior, and Social Network Analysis, edited by Meiselwitz G, 201–214. Cham: Springer Nature. doi: 10.1007/978-3-030-49570-1_14.
    • Steinhoff Vera, Kerschke Pascal, Aspar Pelin, Trautmann Heike, Grimme Christian. . ‘Multiobjectivization of Local Search: Single-Objective Optimization Benefits From Multi-Objective Gradient Descent.’ Contributed to the Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI), Canberra, Australia. doi: 10.1109/SSCI47803.2020.9308259.
    • Prager Raphael Patrick, Trautmann Heike, Wang Hao, Bäck Thomas H. W., Kerschke Pascal. . ‘Per-Instance Configuration of the Modularized CMA-ES by Means of Classifier Chains and Exploratory Landscape Analysis.’ Contributed to the Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI), Canberra, Australia. doi: 10.1109/SSCI47803.2020.9308510.
    • Assenmacher Dennis, Clever Lena, Frischlich Lena, Quandt Thorsten, Trautmann, Heike, Grimme Christian. . ‘Demystifying social bots: On the intelligence of automated social media actors.’ Social Media + Society 00.
    • Assenmacher D, Adam L, Trautmann H, Grimme C. . ‘Towards Real-Time and Unsupervised Campaign Detection in Social Media.’ Contributed to the Florida Artificial Intelligence Research Society Conference, Florida, USA.
    • Seiler Moritz V, Pohl Janina, Bossek Jakob, Kerschke Pascal, Trautmann Heike. . ‘Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem.’ Contributed to the Proceedings of the 16th International Conference on Parallel Problem Solving from Nature (PPSN XVI), Leiden, The Netherlands. doi: 10.1007/978-3-030-58112-1_4.
    • Grimme Christian, Kerschke Pascal, Emmerich Michael T M, Preuss Mike, Deutz André H, Trautmann Heike. . ‘Sliding to the Global Optimum: How to Benefit from Non-Global Optima in Multimodal Multi-Objective Optimization.’ In AIP Conference Proceedings, 020052-1–020052-4.: AIP Publishing. doi: 10.1063/1.5090019.
    • Kerschke Pascal, Trautmann Heike. . ‘Automated Algorithm Selection on Continuous Black-Box Problems By Combining Exploratory Landscape Analysis and Machine Learning.’ Evolutionary Computation 27, Nr. 1: 99–127. doi: 10.1162/evco_a_00236.
    • Kerschke Pascal, Wang Hao, Preuss Mike, Grimme Christian, Deutz André, Trautmann Heike, Emmerich Michael. . ‘Search Dynamics on Multimodal Multi-Objective Problems.’ Evolutionary Computation 27, Nr. 4: 577–609. doi: 10.1162/evco_a_00234.
    • Bossek J, Trautmann H. . ‘Multi-Objective Performance Measurement: Alternatives to PAR10 and Expected Running Time.’ In Learning and Intelligent Optimization, edited by Battiti R, Brunato M, Kotsireas I, Pardalos P, 215–219. Cham: Springer.
    • Bauer N., Ickstadt K., Lübke K., Szepannek G., Trautmann H., Vichi M. (Eds.): . Applications in Statistical Computing - From Music Data Analysis to Industrial Quality Improvement. : Springer International Publishing.
    • Kerschke Pascal, Trautmann Heike. . ‘Comprehensive Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems Using the R-package flacco.’ In Applications in Statistical Computing, edited by Bauer Nadja, Ickstadt Katja, Lübke Karsten, Szepannek Gero, Trautmann Heike, Vichi Maurizio, 93–123. Springer VDI Verlag. doi: 10.1007/978-3-030-25147-5_7.
    • Bossek Jakob, Kerschke Pascal, Neumann Aneta, Wagner Markus, Neumann Frank, Trautmann Heike. . ‘Evolving Diverse TSP Instances by Means of Novel and Creative Mutation Operators.’ Contributed to the 15th ACM/SIGEVO Workshop on Foundations of Genetic Algorithms (FOGA XV), Potsdam, Germany. doi: 10.1145/3299904.3340307.
    • Carnein Matthias, Homann Leschek, Trautmann Heike, Vossen Gottfried. . ‘A Recommender System Based on Omni-Channel Customer Data.’ Contributed to the 21st IEEE Conference on Business Informatics (CBI' 19), Moscow, Russia.
    • Carnein Matthias, Trautmann Heike. . ‘Customer Segmentation Based on Transactional Data Using Stream Clustering.’ Contributed to the 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD '19), Macau, China.
    • Grimme Christian, Kerschke Pascal, Trautmann Heike. . ‘Multimodality in Multi-Objective Optimization -- More Boon than Bane? Contributed to the 10th International Conference on Evolutionary Multi-Criterion Optimization (EMO), East Lansing, MI, USA. doi: 10.1007/978-3-030-12598-1_11.
    • Bossek Jakob, Grimme Christian, Meisel Stephan, Rudolph Günter, Trautmann Heike. . ‘Bi-Objective Orienteering: Towards a Dynamic Multi-Objective Evolutionary Algorithm.’ In Evolutionary Multi-Criterion Optimization (EMO), edited by Deb Kalyanmoy, Goodman Erik, Coello Coello Carlos A., Klamroth Kathrin, Miettinen Kaisa, Mostaghim Sanaz, Reed Patrick, 516–528.: Springer International Publishing. doi: 10.1007/978-3-030-12598-1_41.
    • Kerschke Pascal, Hoos Holger H, Neumann Frank, Trautmann H. . ‘Automated Algorithm Selection: Survey and Perspectives.’ Evolutionary Computation 27, Nr. 1: 3–45. doi: 10.1162/evco_a_00242.
    • Carnein Matthias, Trautmann Heike. . ‘Optimizing Data Stream Representation: An Extensive Survey on Stream Clustering Algorithms.’ Business and Information Systems Engineering (BISE) 61, Nr. 3: 277–297.
    • Kerschke Pascal, Kotthoff Lars, Bossek Jakob, Hoos Holger H., Trautmann Heike. . ‘Leveraging TSP Solver Complementarity through Machine Learning.’ Evolutionary Computation 26, Nr. 4: 597–620. doi: 10.1162/evco_a_00215.
    • Carnein Matthias, Trautmann Heike. . ‘evoStream - Evolutionary Stream Clustering Utilizing Idle Times.’ Big Data Research 14: 101–111. doi: 10.1016/j.bdr.2018.05.005.
    • Kerschke Pascal, Bossek Jakob, Trautmann Heike. . ‘Parameterization of State-of-the-Art Performance Indicators: A Robustness Study Based on Inexact TSP Solvers.’ In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '18) Companion, 1737–1744. doi: 10.1145/3205651.3208233.
    • Bossek Jakob, Grimme Christian, Meisel Stephan, Rudolph Guenter, Trautmann Heike. . ‘Local Search Effects in Bi-Objective Orienteering.’ In Proceedings of the Genetic and Evolutionary Computation Conference, 585–592. New York, NY, USA: ACM. doi: 10.1145/3205455.3205548.
    • Li L, Wang Y, Trautmann H, Jing N, Emmerich M. . ‘Multiobjective evolutionary algorithms based on target region preferences.’ Swarm and Evolutionary Computation 40: 196–215. doi: 10.1016/j.swevo.2018.02.006.
    • van Engelen J.E., van Lier J.J., Takes F.W., Trautmann H. . ‘Accurate WiFi based indoor positioning with continuous location sampling.’ Contributed to the Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database (ECML/PKDD), Dublin, Ireland.
    • Trautmann Heike, Vossen Gottfried, Homann Leschek, Carnein Matthias, Kraume Karsten. . Challenges of Data Management and Analytics in Omni-Channel CRM ERCIS Working Papers, Nr. 28. Münster: Selbstverlag / Eigenverlag / Self-publishing , .
    • Carnein Matthias, Homann Leschek, Trautmann Heike, Vossen Gottfried, Kraume Karsten. . ‘Customer Service in Social Media - An Empirical Study of the Airline Industry.’ In Proceedings of the 17th Conference on Database Systems for Business, Technology, and Web (BTW '17), edited by Bernhard Mitschang and Norbert Ritter and Holger Schwarz and Meike Klettke and Andreas Thor and Oliver Kopp and Matthias Wieland, 33–40.: Gesellschaft für Informatik.
    • Carnein Matthias, Assenmacher Dennis, Trautmann Heike. . ‘Stream Clustering of Chat Messages with Applications to Twitch Streams.’ In Proceedings of the 36th International Conference on Conceptual Modeling (ER'17), edited by de Cesare Sergio, Ulrich Frank, 79–88.: Springer International Publishing. doi: 10.1007/978-3-319-70625-2_8.
    • Carnein Matthias, Heuchert Markus, Homann Leschek, Trautmann Heike, Vossen Gottfried, Becker Jörg, Kraume Karsten. . ‘Towards Efficient and Informative Omni-Channel Customer Relationship Management.’ In Proceedings of the 36th International Conference on Conceptual Modeling (ER'17), edited by de Cesare Sergio, Ulrich Frank, 69–78.: Springer International Publishing. doi: 10.1007/978-3-319-70625-2_7.
    • Tierney K, Handali J, Grimme C, Trautmann H. . ‘Multi-objective Optimization for Liner Shipping Fleet Repositioning.’ In Evolutionary Multi-Criterion Optimization: 9th International Conference, EMO 2017, Münster, Germany, March 19-22, 2017, Proceedings, edited by Trautmann H, Rudolph G, Klamroth K, Schütze O, Wiecek M, Jin Y, Grimme C, 622–638. Cham: Springer International Publishing. doi: 10.1007/978-3-319-54157-0_42.
    • Li L, Yevseyeva I, Basto-Fernandes V, Trautmann H, Jing N, Emmerich M. . ‘Building and Using an Ontology of Preference-Based Multiobjective Evolutionary Algorithms.’ In Evolutionary Multi-Criterion Optimization: 9th International Conference, EMO 2017, Münster, Germany, March 19-22, 2017, Proceedings, edited by Trautmann H, Rudolph G, Klamroth K, Schütze O, Wiecek M, Jin Y, Grimme C, 406–421. Cham: Springer International Publishing. doi: 10.1007/978-3-319-54157-0_28.
    • Carnein Matthias, Assenmacher Dennis, Trautmann Heike. . ‘An Empirical Comparison of Stream Clustering Algorithms.’ In Proceedings of the ACM International Conference on Computing Frontiers (CF '17), 361–365. doi: 10.1145/3075564.3078887.
    • Adrián Sosa Hernández V, Lara A, Trautmann H, Rudolph G, Schütze O. . ‘The Directed Search Method for Unconstrained Parameter Dependent Multi-objective Optimization Problems.’ In NEO 15, edited by Schütze O, Trujillo L, Legrand P, Maldonado Y, 281–330. Cham: Springer International Publishing. doi: 10.1007/978-3-319-44003-3_12.
    • Grimme C, Preuss M, Adam L, Trautmann H. . ‘Social Bots: Human-Like by Means of Human Control?Big Data 5, Nr. 4: 279–293. doi: 10.1089/big.2017.0044.
    • Neumann F, Trautmann H. . ‘Working Group Report: Bridging the Gap Between Experiments and Theory Using Feature-Based Run-Time Analysis; Theory of Evolutionary Algorithms (Dagstuhl Seminar 15211).’ Dagstuhl Reports 5, Nr. 5: 78–79. doi: 10.4230/DagRep.5.5.57.
    • Rudolph G, Schütze O, Grimme C, Domínguez-Medina C, Trautmann H. . ‘Optimal averaged Hausdorff archives for bi-objective problems: theoretical and numerical results.’ Computational Optimization and Applications 64, Nr. 2: 589–618. doi: 10.1007/s10589-015-9815-8.
    • Bossek J, Trautmann H. . ‘Understanding Characteristics of Evolved Instances for State-of-the-Art Inexact TSP Solvers with Maximum Performance Difference.’ In AI*IA 2016 Advances in Artificial Intelligence, edited by Adorni G, Cagnoni S, Gori M, Maratea M, 3–12. Cham: Springer. doi: 10.1007/978-3-319-49130-11.
    • Kerschke Pascal, Wang Hao, Preuss Mike, Grimme Christian, Deutz André, Trautmann Heike, Emmerich Michael. . ‘Towards Analyzing Multimodality of Multiobjective Landscapes.’ In Proceedings of the 14th International Conference on Parallel Problem Solving from Nature (PPSN XIV), 962–972.: Springer. doi: 10.1007/978-3-319-45823-6_90.
    • Rudolph G, Schütze O, Trautmann H. . ‘On the Closest Averaged Hausdorff Archive for a Circularly Convex Pareto Front.’ In Applications of Evolutionary Computation: 19th European Conference, EvoApplications 2016, Porto, Portugal, March 30 -- April 1, 2016, Proceedings, Part II, edited by Squillero G, Burelli P, 42–55. Cham: Springer International Publishing. doi: 10.1007/978-3-319-31153-1_4.
    • Schütze O, Sosa Hernandez VA, Trautmann H, Rudolph G. . ‘The Hypervolume based Directed Search Method for Multi-Objective Optimization Problems.’ Journal of Heuristics 22, Nr. 3: 273–300. doi: 10.1007/s10732-016-9310-0.
    • Blot A, Hoos H, Jourdan L, Marmion M, Trautmann H. . ‘MO-ParamILS: A Multi-objective Automatic Algorithm Configuration Framework.’ In LION 2016: Learning and Intelligent Optimization, edited by Joaquin Vanschooren et al., 32–47. Cham: Springer International Publishing. doi: 10.1007/978-3-319-50349-3_3.
    • Bossek J, Trautmann H. . ‘Evolving Instances for Maximizing Performance Differences of State-of-The-Art Inexact TSP Solvers.’ In Learning and Intelligent Optimization, edited by Festa P, Sellmann M, Vanschoren J, 48–59.: Springer International Publishing. doi: 10.1007/978-3-319-50349-3_4.
    • Kerschke Pascal, Preuss Mike, Wessing Simon, Trautmann Heike. . ‘Low-Budget Exploratory Landscape Analysis on Multiple Peaks Models.’ In Proceedings of the 18th Annual Conference on Genetic and Evolutionary Computation, 229–236. doi: 10.1145/2908812.2908845.
    • Kerschke Pascal, Trautmann Heike. . ‘The R-Package FLACCO for Exploratory Landscape Analysis with Applications to Multi-Objective Optimization Problems.’ Contributed to the IEEE Congress on Evolutionary Computation (CEC), Vancouver, BC, Kanada. doi: 10.1109/CEC.2016.7748359.
    • Mersmann O, Preuss M, Trautmann H, Bischl B, Weihs C. . ‘Analyzing the BBOB Results by Means of Benchmarking Concepts.’ Evolutionary Computation Journal 23, Nr. 1: 161–185.
    • Martí Luis, Grimme Christian, Kerschke Pascal, Trautmann Heike, Rudolph Günter.Averaged Hausdorff Approximations of Pareto Fronts Based on Multiobjective Estimation of Distribution Algorithms.“ contributed to the Genetic and Evolutionary Computation Conference (GECCO '15), Madrid, Spain, . doi: 10.1145/2739482.2764631.
    • Chinnov Andrey, Kerschke Pascal, Meske Christian, Stieglitz Stefan, Trautmann Heike. . ‘An Overview of Topic Discovery in Twitter Communication through Social Media Analytics.’ Contributed to the 20th Americas Conference on Information Systems (AMCIS '15), Puerto Rico.
    • Martí Luis, Grimme Christian, Kerschke Pascal, Trautmann Heike, Rudolph Günter. . Averaged Hausdorff Approximations of Pareto Fronts based on Multiobjective Estimation of Distribution Algorithms.
    • Kerschke Pascal, Preuss Mike, Wessing Simon, Trautmann Heike. . ‘Detecting Funnel Structures by Means of Exploratory Landscape Analysis.’ Contributed to the Genetic and Evolutionary Computation Conference (GECCO '15), Madrid, Spain. doi: 10.1145/2739480.2754642.
    • Meisel Stephan, Grimme Christian, Bossek Jakob, Wölck Martin, Rudolph Guenter, Trautmann Heike. . ‘Evaluation of a Multi-Objective EA on Benchmark Instances for Dynamic Routing of a Vehicle.’ In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '15), 425–432. doi: 10.1145/2739480.2754705.
    • Grimme C, Meisel S, Trautmann H, Rudolph G, Wölck M. . ‘Multi-Objective Analysis of Approaches to Dynamic Routing Of a Vehicle.’ Contributed to the European Conference On Information Systems, Münster, Germany.
    • Sosa Hernandez V, Schütze O, Trautmann H, Rudolph G. . ‘On the Behavior of Stochastic Local Search within Parameter Dependent MOPs.’ In Evolutionary Multi-Criterion Optimization - 8th International Conference, EMO 2015, Guimarães, Portugal, March 29 --April 1, 2015. Proceedings, Part II, edited by Gaspar-Cunha, António; Henggeler Antunes, Carlos; Coello Coello, Carlos, 126–140. doi: 10.1007/978-3-319-15892-1_9.
    • Kotthoff Lars, Kerschke Pascal, Hoos Holger H, Trautmann Heike. . ‘Improving the State of the Art in Inexact TSP Solving using Per-Instance Algorithm Selection.’ In Learning and Intelligent Optimization, 9th International Conference, edited by Dhaenens Clarisse, Jourdan Laetitia, Marmion Marie-Eléonore, 202–217. Cham: Springer International Publishing. doi: 10.1007/978-3-319-19084-6_18.
    • Brockhoff D, Wagner T, Trautmann H. . ‘R2 Indicator Based Multiobjective Search.’ Evolutionary Computation 23, Nr. 3: 369–395. doi: 10.1162/EVCO_a_00135.
    • Wessing S, Preuss M, Trautmann H. . ‘Stopping Criteria for Multimodal Optimization.’ Contributed to the Parallel Problem Solving from Nature - PPSN XIII, Ljubljana, Slovenia. doi: 10.1007/978-3-319-10762-2_14.
    • Rudolph G, Schütze O, Grimme C, Trautmann H. . ‘A Multiobjective Evolutionary Algorithm Guided by Averaged Hausdorff Distance to Aspiration Sets.’ In EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation V, edited by Tantar A, Tantar E, Sun J, Zhang W, Ding Q, Schütze O, Emmerich M, Legrand P, Del Moral P, Coello Coello CA, 261–273. Springer International Publishing. doi: 10.1007/978-3-319-07494-8_18.
    • Kerschke Pascal, Preuss Mike, Hernández Carlos, Schütze Oliver, Sun Jian-Qiao, Grimme Christian, Rudolph Günter, Bischl Bernd, Trautmann Heike. . ‘Cell Mapping Techniques for Exploratory Landscape Analysis.’ In EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation V, edited by Tantar Alexandru-Adrian, Tantar Emilia, Sun Jian-Qiao, Zhang Wei, Ding Qian, Schütze Oliver, Emmerich Michael T M, Legrand Pierrick, Del Moral Pierre, Coello Coello Carlos A, 115–131. Cham: Springer International Publishing. doi: 10.1007/978-3-319-07494-8_9.
    • Rudolph Günter, Grimme Christian, Schütze Oliver, Trautmann Heike. . ‘An Aspiration Set EMOA Based on Averaged Hausdorff Distances.’ Contributed to the Learning and Intelligent OptimizatioN Conference (LION 8), Gainesville, Florida, USA.
    • Sosa-Hernandez VA, Schütze O, Rudoph G, Trautmann H. . ‘Directed Search Method for Indicator-based Multi-objective Evolutionary Algorithms.’ In Proceeding of the Fifteenth Annual Conference Companion on Genetic and Evolutionary Computation Conference Companion, 1699–1702. New York, NY, USA: ACM. doi: 10.1145/2464576.2482756.
    • Trautmann H, Wagne T, Brockhoff D. . ‘R2-EMOA: Focused Multiobjective Search Using R2-Indicator-Based Selection.’ Contributed to the Learning and Intelligent Optimization Conference 7, Catania, Italy.
    • Sosa Hernández V, Schütze O, Rudolph G, Trautmann H. . ‘The Directed Search Method for Pareto Front Approximations with Maximum Dominated Hypervolume.’ In EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation IV, edited by Emmerich M, Deutz A, Schuetze O, Bäck T, Tantar A, Moral PD, Legrand P, Bouvry P, Coello CA, 189–205. Springer International Publishing. doi: 10.1007/978-3-319-01128-8_13.
    • Preuss M, Kozakowski D, Hagelbäck J, Trautmann H. . ‘Reactive strategy choice in StarCraft by means of Fuzzy Control.’ Contributed to the 2013 IEEE Conference on Computational Inteligence in Games (CIG), Niagara Falls, ON, Canada,.
    • Trautmann H, Rudolph G, Dominguez-Medina C, Schütze O. . ‘Finding Evenly Spaced Pareto Fronts for Three-Objective Optimization Problems.’ In EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation II, edited by Schütze O, Coello Coello CA, Tantar A, Tantar E, Bouvry P, Del Moral P, Legrand P, 89–105. Springer VDI Verlag. doi: 10.1007/978-3-642-31519-0_6.
    • Dominguez-Medina C, Rudolph G, Schütze O, Trautmann H. . ‘Evenly spaced Pareto fronts of quad-objective problems using PSA partitioning technique.’ Contributed to the 2013 IEEE Congress on Evolutionary Computation (CEC), Cancun, Mexico.
    • Trautmann H, Wagner T, Biermann D, Weihs C. . ‘Indicator-based Selection in Evolutionary Multiobjective Optimization Algorithms Based On the Desirability Index.’ Journal of Multi-Criteria Decision Analysis 20, Nr. 5-6: 319–337.
    • Nallaperuma S, Wagner M, Neumann F, Bischl B, Mersmann O, Trautmann H. . ‘A Feature-Based Comparison of Local Search and the Christofides Algorithm for the Travelling Salesperson Problem.’ In Foundations of Genetic Algorithms XII, forthcoming, edited by Neumann F, de Jong K, 147–160.
    • Wagner T, Trautmann H, Brockhoff D. . ‘Preference Articulation by Means of the R2 Indicator.’ In Evolutionary Multi-Criterion Optimization - 7th International Conference, EMO 2013, Sheffield, UK, Proceedings, edited by Purshouse R C, Fleming P J, Fonseca C M, Greco S, Shaw J, 81–95.: Springer.
    • Rudolph G, Trautmann H, Sengupta S, Schütze O. . ‘Evenly Spaced Pareto Front Approximations for Tricriteria Problems Based on Triangulation.’ In Evolutionary Multi-Criterion Optimization - 7th International Conference, EMO 2013, Sheffield, UK, Proceedings, edited by Purshouse RC, Fleming PJ, Fonseca CM, Greco S, Shaw J, 443–458.: Springer.
    • Mersmann O, Bischl B, Trautmann H, Wagner M, Bossek J, Neumann F. . ‘A Novel Feature-Based Approach to Characterize Algorithm Performance for the Traveling Salesman Problem.’ Annals of Mathematics and Artificial Intelligence 69: 151–182.
    • Bischl B, Mersmann O, Trautmann H, Preuss M. . ‘Algorithm selection based on exploratory landscape analysis and cost-sensitive learning.’ In Genetic and Evolutionary Computation Conference, GECCO '12, Philadelphia, PA, USA, edited by Soule T, Moore JH, 313–320.: ACM.
    • Mersmann O, Bischl B, Bossek J, Trautmann H, Wagner M, Neumann F. . ‘Local Search and the Traveling Salesman Problem: A Feature-Based Characterization of Problem Hardness.’ In Learning and Intelligent Optimization - 6th International Conference, LION 6, Paris, edited by Hamadi Y, Schoenauer M, 115–129.: Springer.
    • Rudolph G, Trautmann H, Schütze O. . ‘Homogene Approximation der Paretofront bei mehrkriteriellen Kontrollproblemen.’ at-Automatisierungstechnik 60, Nr.  : 610–621. doi: 10.1524/auto.2012.1033.
    • Bischl B, Mersmann O, Trautmann H, Weihs C. . ‘Resampling Methods in Model Validation.’ Evolutionary Computation 20, Nr. 2: 249–275. doi: 10.1162/EVCO_a_00069.
    • Brockhoff D, Wagner T, Trautmann H. . ‘On the Properties of the R2 Indicator.’ In Proc. 14th Int'l. Genetic and Evolutionary Computation Conference (GECCO '12), edited by Soule T, others, 465––472.: ACM. doi: 10.1145/2330163.2330230.
    • Wagner T, Trautmann H, Marti L. . ‘A Taxonomy of Online Stopping Criteria for Multi-Objective Evolutionary Algorithms.’ In Evolutionary Multi-Criterion Optimization, edited by Takahashi R, Deb K, Wanner E, Greco S, 16–30.: Springer Berlin / Heidelberg.
    • Mersmann O, Bischl B, Trautmann H, Preuss M, Weihs C, Rudolph G. . ‘Exploratory landscape analysis.’ In Proceedings of the 13th annual conference on Genetic and evolutionary computation, 829–836. New York, NY, USA: ACM.
    • Naujoks B, Trautmann H, Wessing S, Weihs C. . ‘Advanced concepts for multi-objective evolutionary optimization in aircraft industry.’ Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 225: 1081–1096. doi: 10.1177/0954410011414120.
    • Gerstl K, Rudolph G, Schütze O, Trautmann H. . ‘Finding evenly spaced fronts for multiobjective control via averaging Hausdorff-measure.’ In Proceedings of 8th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE), 1–6.: IEEE Press. doi: 10.1109/ICEEE.2011.6106656.
    • Bischl B, Mersmann O, Trautmann H. . ‘Resampling Methods in Model Validation .’ In Proceedings of the Workshop on Experimental Methods for the Assessment of Computational Systems (WEMACS 2010), Algorithm Engineering Report TR10-2-007, edited by Bartz-Beielstein T, Chiarandini M, Paquete L, Preuss M.: Department of Computer Science, TU Dortmund University.
    • Azene YT, Roy R, Farrugia D, Onisa C, Mehnen J, Trautmann H. . ‘Work roll cooling system design optimisation in presence of uncertainty and constrains.’ CIRP Journal of Manufacturing Science and Technology 2: 290––298. doi: 10.1016/j.cirpj.2010.06.001.
    • Mersmann O, Trautmann H, Naujoks B, Weihs C. . ‘Benchmarking evolutionary multiobjective optimization algorithms.’ In Proceedings of the IEEE Congress on Evolutionary Computation, CEC 2010, Barcelona, Spain, 1–8.: IEEE.
    • Wagner T, Trautmann H. . ‘Integration of Preferences in Hypervolume-Based Multiobjective Evolutionary Algorithms by Means of Desirability Functions.’ IEEE Transactions on Evolutionary Computation 14, Nr. 5: 688––701. doi: 10.1109/TEVC.2010.2058119.
    • Ding J, Wessing S, Trautmann H, Mehnen J, Naujoks B. . ‘Sequential Parameter Optimisation for Multi-Objective Evolutionary Optimisation of Additive Layer Manufacturing.’ In Proceedings of the 7th CIRP International Seminar on Intelligent Computation in Manufacturing Engineering (CIRP ICME '10), edited by Teti R. Capri, Italy: Copyright C.O.C. Com. org. Conv.
    • Wagner T, Trautmann H. . ‘Online convergence detection for evolutionary multi-objective algorithms revisited.’ In Proceedings of the IEEE Congress on Evolutionary Computation, CEC 2010, Barcelona, Spain, 1–8.: IEEE.
    • Mersmann O, Trautmann H, Naujoks B, Weihs C. . ‘On the Distribution of EMOA Hypervolumes.’ In Learning and Intelligent Optimization, 4th International Conference, LION 4, Venice, Italy, edited by Blum C, Battiti R, 333–337.: Springer.
    • Mostaghim S, Trautmann H, Mersmann O. . ‘Preference-Based Multi-Objective Particle Swarm Optimization Using Desirabilities.’ In 11th International Conference on Parallel Problem Solving from Nature - PPSN XI, Proceedings, Part II, edited by Schaefer R, Cotta C, Kolodziej J, Rudolph G, 101–110.: Springer.
    • Mersmann O, Preuss M, Trautmann H. . ‘Benchmarking Evolutionary Algorithms: Towards Exploratory Landscape Analysis.’ In 11th International Conference on Parallel Problem Solving from Nature - PPSN XI, Proceedings, Part I, edited by Schaefer R, Cotta C, Kolodziej J, Rudolph G, 73–82.: Springer.
    • Voss T, Trautmann H, Igel C. . ‘New Uncertainty Handling Strategies in Multi-objective Evolutionary Optimization.’ In 11th International Conference on Parallel Problem Solving from Nature - PPSN XI, Proceedings, Part II, edited by Schaefer R, Cotta C, Kolodziej J, Rudolph G, 260–269.: Springer.
    • Naujoks B, Trautmann H. . ‘Online Convergence Detection for Multiobjective Aerodynamic Applications.’ In Proceedings of the IEEE Congress on Evolutionary Computation, CEC 2009, Trondheim, Norway, edited by Tyrrell A, 332–339.: IEEE Press.
    • Trautmann H, Mehnen J, Naujoks B. . ‘Pareto-Dominance in Noisy Environments.’ In Proceedings of the IEEE Congress on Evolutionary Computation, CEC 2009, Trondheim, Norway, edited by Tyrrell A, 3119–3126.: IEEE Press.
    • Trautmann H, Mehnen J. . ‘Preference-Based Pareto-Optimization in Certain and Noisy Environments.’ Engineering Optimization 41: 23–38. doi: 10.1080/03052150802347926.
    • T. Wagner H. Trautmann, Naujoks B. . ‘OCD: Online Convergence Detection for Evolutionary Multi-Objective Algorithms Based on Statistical Testing.’ In Evolutionary Multi-Criterion Optimization (EMO 2009), Lecture Notes in Computer Science (LNCS) 5467, edited by Fonseca C, Gandibleux X, 198–215.: Springer, Berlin.
    • Trautmann H, Wagner T, Naujoks B, Preuss M, Mehnen J. . ‘Statistical Methods for Convergence Detection of Multi-Objective Evolutionary Algorithms.’ Evolutionary Computation 17, Nr. 4: 493––509.
    • Trautmann H, Mehnen J. . ‘Statistical Methods for Improving Multi-objective Evolutionary Optimisation.’ International Journal of Computational Intelligence Research 5, Nr. 2: 72–78. doi: 10.5019/j.ijcir.2009.172.
    • Mehnen J, Trautmann H. . ‘Robust Multi-objective Optimisation of Weld Bead Geometry for Additive Manufacturing.’ In Proceedings of the 6th CIRP International Seminar on Intelligent Computation in Manufacturing Engineering (CIRP ICME '08), edited by Teti R. Naples, Italy: Copyright C.O.C. Com. org. Conv.
    • Trautmann H, Ligges U, Mehnen J, Preuss M. . ‘A Convergence Criterion for Multiobjective Evolutionary Algorithms Based on Systematic Statistical Testing.’ In Parallel Problem Solving from Nature (PPSN), edited by Rudolph G, others, 825–836.: Springer, Berlin.
    • Weihs C, Trautmann H. . ‘Parallel Universes: Multi-Criteria Optimization.’ In Dagstuhl Seminar Proceedings 07181, Parallel Universes and Local Patterns, edited by Berthold MR, Morik K, Siebes A, . Schloss Dagstuhl, Germany: Internationales Begegnungs- und Forschungszentrum f�r Informatik (IBFI).
    • Mehnen J, Trautmann H, Tiwari A. . ‘Introducing User Preference Using Desirability Functions in Multi-Objective Evolutionary Optimisation of Noisy Processes.’ In CEC 2007, IEEE Congress on Evolutionary Computation, edited by Tan KC, Xu J, 2687–2694. Singapore: .
    • Mehnen J, Trautmann H. . ‘Integration of Expert's Preferences in Pareto Optimization by Desirability Function Techniques.’ In CIRP ICME '06) -- Proceedings of the 5th CIRP International Seminar on Intelligent Computation in Manufacturing Engineering, edited by Teti R, 293–298. Ischia, Italy: C.O.C. Com. org. Conv. CIRP ICME '06.
    • Trautmann H, Weihs C. . ‘On the Distribution of the Desirability Index using Harrington's Desirability Function.’ Metrika 63, Nr. 2: 207–213. doi: 10.1007/s00184-005-0012-0.
    • Trautmann H. . Qualitätskontrolle in der Industrie anhand von Kontrollkarten für Wünschbarkeitsindizes - Anwendungsfeld Lagerverwaltung.
  • Betreute Arbeiten

    Promotionen

    Assenmacher, DennisData Analytics for Harmful Online Communication in Social Media
    Machine Learning on Data Streams - Improving the Applicability and Performance of Stream Clustering Algorithms
    Investigating Problem Hardness in (Multi-Objective) Combinatorial Optimization: Algorithm Selection, Instance Generation and Tailored Algorithm Design
    Automated and Feature-Based Problem Characterization and Algorithm Selection Through Machine Learning

    Habilitation

    Hybridization of Algorithmic Decision Support in Optimization and Data Analysis