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
- ACM-SIGEVO, Special Interest Group for Genetic and Evolutionary Computation, Association for Computing Machinery
- EVOLVE - A bridge between Probability, Set Oriented Numerics and Evolutionary Computation, Mitglied im Programmkomitee
- 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, und 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, Bd. 13970 aus Lecture Notes in Computer Science, herausgegeben von Ke Li und Hao Wang. Cham: Springer. doi: 10.1007/978-3-031-27250-9_21.
- Prager, RP, und Trautmann, H. . „Nullifying the Inherent Bias of Non-invariant Exploratory Landscape Analysis Features.“ In Applications of Evolutionary Computation, herausgegeben von J Correia, S Smith und R Qaddoura. Cham: Springer Nature. doi: 10.1007/978-3-031-30229-9_27.
- Prager, Raphael Patrick, und Trautmann, Heike. im Druck. „Pflacco: Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems in Python.“ Evolutionary Computation.
- Seiler, Moritz Vinzent, Prager, Raphael Patrick, Kerschke, Pascal, und 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, herausgegeben von -. New York, NY, USA: ACM Press. doi: 10.1145/3512290.3528834.
- Pohl, Janina Susanne, Assenmacher, Dennis, Seiler, Moritz Vincent, Trautmann, Heike, und 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), herausgegeben von Association for the Advancement of Artificial Intelligence (AAAI). Palo Alto, CA, USA: AAAI Press. doi: 10.36190/2022.91.
- Prager, Raphael Patrick, Seiler, Moritz Vinzent, Trautmann, Heike, und 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, herausgegeben von Günter Rudolph, Anna V. Kononova, Hernán Aguirre, Pascal Kerschke, Gabriela Ochoa und Tea Tušar. Cham: Springer International Publishing. doi: 10.1007/978-3-031-14714-2_1.
- Schneider, Lennart, Schäpermeier, Lennart, Prager, Raphael Patrick, Bischl, Bernd, Trautmann, Heike, und Kerschke, Pascal. . „HPO x ELA: Investigating Hyperparameter Optimization Landscapes by Means of Exploratory Landscape Analysis.“ In Parallel Problem Solving from Nature -- PPSN XVII, herausgegeben von Günter Rudolph, Anna V. Kononova, Hernán Aguirre, Pascal Kerschke, Gabriela Ochoa und Tea Tušar. Cham: Springer International Publishing. doi: 10.1007/978-3-031-14714-2_40.
- Niemann, Marco, Assenmacher, Dennis, Brunk, Jens, Riehle, Dennis Maximilian, Becker, Jörg, und Trautmann, Heike. . „(Semi-)Automatische Kommentarmoderation zur Erhaltung Konstruktiver Diskurse.“ In Hate Speech - Definitionen, Ausprägungen, Lösungen, herausgegeben von Gerrit Weitzel und Stephan Mündges. Wiesbaden: VS Verlag für Sozialwissenschaften. doi: 10.1007/978-3-658-35658-3_13.
- Clever, Lena, Pohl, Janina Susanne, Bossek, Jakob, Kerschke, Pascal, und Trautmann, Heike. . „Process-Oriented Stream Classification Pipeline: A Literature Review.“ Applied Sciences 12 (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, und 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), Lecture Notes in Computer Science, herausgegeben von F Spezzano, A Amaral, D Ceolin, L Fazio und E Serra. Boise, ID, USA: Springer.
- Aspar, Pelin, Steinhoff, Vera, Schäpermeier, Lennart, Kerschke, Pascal, Trautmann, Heike, und Grimme, Christian. . „The objective that freed me: a multi-objective local search approach for continuous single-objective optimization.“ Natural Computing 22 (2): 271–285. doi: 10.1007/s11047-022-09919-w.
- Heins, J, Rook, J, Schäpermeier, L, Kerschke, P, Bossek, J, und Trautmann, H. . „BBE: Basin-Based Evaluation of Multimodal Multi-objective Optimization Problems.“ In Parallel Problem Solving from Nature -- PPSN XVII, herausgegeben von G Rudolph, AV Kononova, H Aguirre, P Kerschke, G Ochoa und T Tu{š}ar. Cham: Springer International Publishing.
- Assenmacher, D, und Trautmann, H. . „Textual One-Pass Stream Clustering with Automated Distance Threshold Adaption.“ In Intelligent Information and Database Systems, herausgegeben von Tet al. Tran. Cham: Springer International Publishing. doi: 10.1007/978-3-031-21743-2_1.
- Rook, J, Trautmann, H, Bossek, J, und 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, GECCO '22, herausgegeben von J Fieldsend und M. Wagner. New York, NY, USA: ACM Press. doi: 10.1145/3520304.3528998.
- Heins, Jonathan, Bossek, Jakob, Pohl, Janina Susanne, Seiler, Moritz Vincent, Trautmann, Heike, und 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, und 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, und 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, und 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, und 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, herausgegeben von H.et al. Ishibuchi. Heidelberg, Berlin: Springer. doi: 10.1007/978-3-030-72062-9_25.
- Prager, Seiler, Raphael Patrick, Trautmann, Moritz Vinzent, Kerschke, Heike, und Pascal. . „Towards Feature-Free Automated Algorithm Selection for Single-Objective Continuous Black-Box Optimization.“ Beitrag präsentiert auf der IEEE Symposium Series on Computational Intelligence, Orlando, Florida, USA
- Assenmacher, Dennis Niemann Marco, Müller, Kilian Seiler Moritz V, und Riehle, Dennis M Trautmann Heike. . „RP-Mod & RP-Crowd: Moderator- and Crowd-Annotated German News Comment Datasets.“ In Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1 (NeurIPS Datasets and Benchmarks 2021), herausgegeben von J. Vanschoren und S. Yeung. online: Selbstverlag / Eigenverlag.
- Grimme, C, Kerschke, P, Aspar, P, Trautmann, H, Preuss, M, Deutz, AH, Wang, H, und 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, und 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), herausgegeben von Association for Computing Machinery. Dornbirn, Austria: ACM Press. doi: 10.1145/3450218.3477308.
- Bossek, Jakob Grimme Christian, und Rudolph, Günter Trautmann Heike. . „Towards Decision Support in Dynamic Bi-Objective Vehicle Routing.“ In Proceedings of the IEEE Congress on Evolutionary Computation (CEC) doi: 10.1109/CEC48606.2020.9185778.
- Bossek, Jakob, Grimme, Christian, und Trautmann, Heike. . „Dynamic Bi-Objective Routing of Multiple Vehicles.“ In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '20) ACM Press.
- Seiler, Moritz Vinzent, Trautmann, Heike, und Kerschke, Pascal. . „Enhancing Resilience of Deep Learning Networks By Means of Transferable Adversaries.“ Beitrag präsentiert auf der International Joint Conference on Neural Networks (IJCNN), Glasgow, UK doi: 10.1109/IJCNN48605.2020.9207338.
- Bossek, Jakob, Kerschke, Pascal, und Trautmann, Heike. . „Anytime Behavior of Inexact TSP Solvers and Perspectives for Automated Algorithm Selection.“ Beitrag präsentiert auf der IEEE Congress on Evolutionary Computation (CEC), Glasgow, UK Wiley-IEEE Press.
- Riehle, Dennis M., Niemann, Marco, Brunk, Jens, Assenmacher, Dennis, Trautmann, Heike, und Becker, Jörg. . „Building an Integrated Comment Moderation System - Towards a Semi-Automatic Moderation tool.“ In Social Computing and Social Media. Participation, User Experience, Consumer Experience, and Applications of Social Computing. 12th International Conference, SCSM 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Copenhagen, Denmark, July 19–24, 2020, Proceedings, Part II, Bd. 12195 aus Lecture Notes in Computer Science, herausgegeben von Gabriele Meiselwitz. Cham: Springer. doi: 10.1007/978-3-030-49576-3_6.
- Carnein, Matthias, Trautmann, Heike, Bifet, Albert, und Pfahringer, Bernhard. . „confStream: Automated Algorithm Selection and Configuration of Stream Clustering Algorithms.“ Beitrag präsentiert auf der 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, und Grimme, Christian. . „Inside the tool set of automation: Free social bot code revisited.“ In Disinformation in open online media, Lecture Notes in Computer Science, herausgegeben von Christian Grimme, Mike Preuß, Frank Takes und Annie Waldherr. Wiesbaden: Springer.
- Lena, Clever, Frischlich, Lena, Trautmann, Heike, und Grimme, Christian. . „Automated detection of nostalgic text in the context of societal pessimism.“ In Disinformation in open online media, herausgegeben von Christian Grimme, Mike Preuß, Frank Takes und Annie Waldherr.
- Bossek, Jakob, Kerschke, Pascal, und Trautmann, Heike. . „A Multi-Objective Perspective on Performance Assessment and Automated Selection of Single-Objective Optimization Algorithms.“ Applied Soft Computing Journal 2020 (88): 105901.. doi: 10.1016/j.asoc.2019.105901.
- Carnein, Matthias, Trautmann, Heike, Bifet, Albert, und Pfahringer, Bernhard. . „Towards Automated Configuration of Stream Clustering Algorithms.“ Beitrag präsentiert auf der 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, und 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, herausgegeben von G Meiselwitz. Cham: Springer Nature. doi: 10.1007/978-3-030-49570-1_14.
- Steinhoff, Vera, Kerschke, Pascal, Aspar, Pelin, Trautmann, Heike, und Grimme, Christian. . „Multiobjectivization of Local Search: Single-Objective Optimization Benefits From Multi-Objective Gradient Descent.“ Beitrag präsentiert auf der 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., und Kerschke, Pascal. . „Per-Instance Configuration of the Modularized CMA-ES by Means of Classifier Chains and Exploratory Landscape Analysis.“ Beitrag präsentiert auf der Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI), Canberra, Australia doi: 10.1109/SSCI47803.2020.9308510.
- Dennis, Assenmacher, Lena, Clever, Lena, Frischlich, Thorsten, Quandt, Trautmann, Heike, und Christian, Grimme. . „Demystifying social bots: On the intelligence of automated social media actors.“ Social Media + Society 00.
- Assenmacher, D, Adam, L, Trautmann, H, und Grimme, C. . „Towards Real-Time and Unsupervised Campaign Detection in Social Media.“ Beitrag präsentiert auf der Florida Artificial Intelligence Research Society Conference, Florida, USA
- Seiler, Moritz V, Pohl, Janina, Bossek, Jakob, Kerschke, Pascal, und Trautmann, Heike. . „Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem.“ Beitrag präsentiert auf der Proceedings of the 16th International Conference on Parallel Problem Solving from Nature (PPSN XVI), Leiden, The Netherlands , herausgegeben von Thomas Bäck, Mike Preuss, André Deutz, Hao Wang, Carola Doerr, Michael Emmerich und Heike Trautmann. doi: 10.1007/978-3-030-58112-1_4.
- Grimme, Christian Kerschke Pascal, Emmerich Michael T M, Preuss Mike, und 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 American Institute of Physics. 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 (1): 99–127. doi: 10.1162/evco_a_00236.
- Kerschke, Pascal, Wang, Hao, Preuss, Mike, Grimme, Christian, Deutz, André, Trautmann, Heike, und Emmerich, Michael. . „Search Dynamics on Multimodal Multi-Objective Problems.“ Evolutionary Computation 27 (4): 577–609. doi: 10.1162/evco_a_00234.
- Bossek, J, und Trautmann, H. . „Multi-Objective Performance Measurement: Alternatives to PAR10 and Expected Running Time.“ In Learning and Intelligent Optimization, Bd. 11353 aus Lecture Notes in Computer Science, herausgegeben von R Battiti, M Brunato, I Kotsireas und P Pardalos. Cham: Springer.
- Bauer, N., Ickstadt, K., Lübke, K., Szepannek, G., Trautmann, H., und Vichi, M., Hrsg. . Studies in Classification, Data Analysis, and Knowledge Organization, 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, herausgegeben von Nadja Bauer, Katja Ickstadt, Karsten Lübke, Gero Szepannek, Heike Trautmann und Maurizio Vichi. Springer VDI Verlag. doi: 10.1007/978-3-030-25147-5_7.
- Bossek, Jakob Kerschke Pascal, Neumann, Aneta Wagner Markus, und Neumann, Frank Trautmann Heike. . „Evolving Diverse TSP Instances by Means of Novel and Creative Mutation Operators.“ Beitrag präsentiert auf der 15th ACM/SIGEVO Workshop on Foundations of Genetic Algorithms (FOGA XV), Potsdam, Germany , herausgegeben von Tobias Friedrich, Carola Doerr und Dirk Arnold. doi: 10.1145/3299904.3340307.
- Carnein, Matthias, Homann, Leschek, Trautmann, Heike, und Vossen, Gottfried. . „A Recommender System Based on Omni-Channel Customer Data.“ Beitrag präsentiert auf der 21st IEEE Conference on Business Informatics (CBI' 19), Moscow, Russia
- Carnein, Matthias Trautmann Heike. . „Customer Segmentation Based on Transactional Data Using Stream Clustering.“ Beitrag präsentiert auf der 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD '19), Macau, China
- Grimme, Christian, Kerschke, Pascal, und Trautmann, Heike. . „Multimodality in Multi-Objective Optimization -- More Boon than Bane?“ In Bd. 11411 aus Lecture Notes in Computer Science, herausgegeben von Kalyanmoy Deb, Erik Goodman, Coello Carlos A. Coello, Kathrin Klamroth, Kaisa Miettinen, Sanaz Mostaghim und Patrick Reed. Springer. doi: 10.1007/978-3-030-12598-1_11.
- Bossek, Jakob, Grimme, Christian, Meisel, Stephan, Rudolph, Günter, und Trautmann, Heike. . „Bi-Objective Orienteering: Towards a Dynamic Multi-Objective Evolutionary Algorithm.“ In Evolutionary Multi-Criterion Optimization (EMO), Bd. 11411 aus Lecture Notes in Computer Science, herausgegeben von Kalyanmoy Deb, Erik Goodman, Coello Carlos A. Coello, Kathrin Klamroth, Kaisa Miettinen, Sanaz Mostaghim und Patrick Reed. Springer International Publishing. doi: 10.1007/978-3-030-12598-1_41.
- Kerschke, Pascal, Hoos, Holger H, Neumann, Frank, und Trautmann, H. . „Automated Algorithm Selection: Survey and Perspectives.“ Evolutionary Computation 27 (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 (3): 277–297.
- Kerschke, Pascal, Kotthoff, Lars, Bossek, Jakob, Hoos, Holger H, und Trautmann, Heike. . „Leveraging TSP Solver Complementarity through Machine Learning.“ Evolutionary Computation 26 (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, und 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 doi: 10.1145/3205651.3208233.
- Bossek, Jakob, Grimme, Christian, Meisel, Stephan, Rudolph, Guenter, und Trautmann, Heike. . „Local Search Effects in Bi-Objective Orienteering.“ In Proceedings of the Genetic and Evolutionary Computation Conference, GECCO '18 New York, NY, USA: ACM Press. doi: 10.1145/3205455.3205548.
- Li, L, Wang, Y, Trautmann, H, Jing, N, und 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., und Trautmann, H. . „Accurate WiFi based indoor positioning with continuous location sampling.“ Beitrag präsentiert auf der Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database (ECML/PKDD), Dublin, Ireland Springer.
- Trautmann, Heike, Vossen, Gottfried, Homann, Leschek, Carnein, Matthias, und Kraume, Karsten. . „Challenges of Data Management and Analytics in Omni-Channel CRM.“ ERCIS Working Papers Nr. 28. Münster: Selbstverlag / Eigenverlag.
- Carnein, Matthias, Homann, Leschek, Trautmann, Heike, Vossen, Gottfried, und 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), Bd. P-266 aus Lecture Notes in Informatics (LNI), herausgegeben von Bernhard Mitschang and Norbert Ritter and Holger Schwarz and Meike Klettke and Andreas Thor and Oliver Kopp and Matthias Wieland. Gesellschaft für Informatik.
- Carnein, Matthias, Assenmacher, Dennis, und Trautmann, Heike. . „Stream Clustering of Chat Messages with Applications to Twitch Streams.“ In Proceedings of the 36th International Conference on Conceptual Modeling (ER'17), herausgegeben von Cesare Sergio de und Frank Ulrich. Springer International Publishing. doi: 10.1007/978-3-319-70625-2_8.
- Carnein, Matthias, Heuchert, Markus, Homann, Leschek, Trautmann, Heike, Vossen, Gottfried, Becker, Jörg, und Kraume, Karsten. . „Towards Efficient and Informative Omni-Channel Customer Relationship Management.“ In Proceedings of the 36th International Conference on Conceptual Modeling (ER'17), Bd. 10651 aus Lecture Notes in Computer Science, herausgegeben von Cesare Sergio de und Frank Ulrich. Springer International Publishing. doi: 10.1007/978-3-319-70625-2_7.
- Tierney, K, Handali, J, Grimme, C, und 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, herausgegeben von H Trautmann, G Rudolph, K Klamroth, O Schütze, M Wiecek, Y Jin und C Grimme. Cham: Springer International Publishing. doi: 10.1007/978-3-319-54157-0_42.
- Li, L, Yevseyeva, I, Basto-Fernandes, V, Trautmann, H, Jing, N, und 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, herausgegeben von H Trautmann, G Rudolph, K Klamroth, O Schütze, M Wiecek, Y Jin und C Grimme. Cham: Springer International Publishing. doi: 10.1007/978-3-319-54157-0_28.
- Carnein, Matthias, Assenmacher, Dennis, und Trautmann, Heike. . „An Empirical Comparison of Stream Clustering Algorithms.“ In Proceedings of the ACM International Conference on Computing Frontiers (CF '17) doi: 10.1145/3075564.3078887.
- Adrián, Sosa Hernández V, Lara, A, Trautmann, H, Rudolph, G, und Schütze, O. . „The Directed Search Method for Unconstrained Parameter Dependent Multi-objective Optimization Problems.“ In NEO 15, herausgegeben von O Schütze, L Trujillo, P Legrand und Y Maldonado. Cham: Springer International Publishing. doi: 10.1007/978-3-319-44003-3_12.
- Grimme, C, Preuss, M, Adam, L, und Trautmann, H. . „Social Bots: Human-Like by Means of Human Control?“ Big Data 5 (4): 279–293. doi: 10.1089/big.2017.0044.
- Bossek, J, und 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, Bd. 10037 aus Lecture Notes in Computer Science, herausgegeben von G Adorni, S Cagnoni, M Gori und M Maratea. Cham: Springer. doi: 10.1007/978-3-319-49130-11.
- Kerschke, Pascal, Wang, Hao, Preuss, Mike, Grimme, Christian, Deutz, André, Trautmann, Heike, und Emmerich, Michael. . „Towards Analyzing Multimodality of Multiobjective Landscapes.“ In Proceedings of the 14th International Conference on Parallel Problem Solving from Nature (PPSN XIV), Lecture Notes in Computer Science Springer. doi: 10.1007/978-3-319-45823-6_90.
- Rudolph, G, Schütze, O, und 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, herausgegeben von G Squillero und P Burelli. Cham: Springer International Publishing. doi: 10.1007/978-3-319-31153-1_4.
- Schütze, O, Sosa, Hernandez VA, Trautmann, H, und Rudolph, G. . „The Hypervolume based Directed Search Method for Multi-Objective Optimization Problems.“ Journal of Heuristics 22 (3): 273–300. doi: 10.1007/s10732-016-9310-0.
- Blot, A, Hoos, H, Jourdan, L, Marmion, M, und Trautmann, H. . „MO-ParamILS: A Multi-objective Automatic Algorithm Configuration Framework.“ In LION 2016: Learning and Intelligent Optimization, Bd. 10079 aus LNTCS, herausgegeben von Joaquin Vanschooren et al.. Cham: Springer International Publishing. doi: 10.1007/978-3-319-50349-3_3.
- Bossek, J, und Trautmann, H. . „Evolving Instances for Maximizing Performance Differences of State-of-The-Art Inexact TSP Solvers.“ In Learning and Intelligent Optimization, Bd. 10079 aus Lecture Notes in Computer Science, herausgegeben von P Festa, M Sellmann und J Vanschoren. Springer International Publishing. doi: 10.1007/978-3-319-50349-3_4.
- Kerschke, Pascal Preuss Mike, und 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 doi: 10.1145/2908812.2908845.
- Kerschke, Pascal Trautmann Heike. . „The R-Package FLACCO for Exploratory Landscape Analysis with Applications to Multi-Objective Optimization Problems.“ Beitrag präsentiert auf der IEEE Congress on Evolutionary Computation (CEC), Vancouver, BC, Kanada doi: 10.1109/CEC.2016.7748359.
- Neumann, F, und 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 (5): 78–79. doi: 10.4230/DagRep.5.5.57.
- Rudolph, G, Schütze, O, Grimme, C, Domínguez-Medina, C, und Trautmann, H. . „Optimal averaged Hausdorff archives for bi-objective problems: theoretical and numerical results.“ Computational Optimization and Applications 64 (2): 589–618. doi: 10.1007/s10589-015-9815-8.
- Mersmann, O, Preuss, M, Trautmann, H, Bischl, B, und Weihs, C. . „Analyzing the BBOB Results by Means of Benchmarking Concepts.“ Evolutionary Computation Journal 23 (1): 161–185.
- Martí, Luis, Grimme, Christian, Kerschke, Pascal, Trautmann, Heike, und Rudolph, Günter. . „Averaged Hausdorff Approximations of Pareto Fronts Based on Multiobjective Estimation of Distribution Algorithms.“ Beitrag präsentiert auf der Genetic and Evolutionary Computation Conference (GECCO '15), Madrid, Spain New York, NY, USA: ACM. doi: 10.1145/2739482.2764631.
- Chinnov, Andrey, Kerschke, Pascal, Meske, Christian, Stieglitz, Stefan, und Trautmann, Heike. . „An Overview of Topic Discovery in Twitter Communication through Social Media Analytics.“ Beitrag präsentiert auf der 20th Americas Conference on Information Systems (AMCIS '15), Puerto Rico
- Martí, Luis, Grimme, Christian, Kerschke, Pascal, Trautmann, Heike, und Rudolph, Günter. . „Averaged Hausdorff Approximations of Pareto Fronts based on Multiobjective Estimation of Distribution Algorithms.“ Arxiv.org doi: 10.48550/arXiv.1503.07845.
- Kerschke, Pascal Preuss Mike, und Wessing, Simon Trautmann Heike. . „Detecting Funnel Structures by Means of Exploratory Landscape Analysis.“ Beitrag präsentiert auf der Genetic and Evolutionary Computation Conference (GECCO '15), Madrid, Spain , herausgegeben von Sara Silva. New York, NY, USA: ACM Press. doi: 10.1145/2739480.2754642.
- Meisel, Stephan Grimme Christian, Bossek, Jakob Wölck Martin, und 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) doi: 10.1145/2739480.2754705.
- Grimme, C, Meisel, S, Trautmann, H, Rudolph, G, und Wölck, M. . „Multi-Objective Analysis of Approaches to Dynamic Routing Of a Vehicle.“ Beitrag präsentiert auf der European Conference On Information Systems, Münster, Germany
- Sosa, Hernandez V, Schütze, O, Trautmann, H, und 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, Bd. 9019 aus Lecture Notes in Computer Science, herausgegeben von António Gaspar-Cunha, Carlos Henggeler Antunes und Carlos Coello Coello. doi: 10.1007/978-3-319-15892-1_9.
- Kotthoff, Lars Kerschke Pascal, und 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, herausgegeben von Clarisse Dhaenens, Laetitia Jourdan und Marie-Eléonore Marmion. Cham: Springer International Publishing. doi: 10.1007/978-3-319-19084-6_18.
- Brockhoff, D, Wagner, T, und Trautmann, H. . „R2 Indicator Based Multiobjective Search.“ Evolutionary Computation 23 (3): 369–395. doi: 10.1162/EVCO_a_00135.
- Wessing, S, Preuss, M, und Trautmann, H. . „Stopping Criteria for Multimodal Optimization.“ In Bd. 8672 aus Lecture Notes in Computer Science, herausgegeben von T Bartz-Beielstein, J Branke, B Filipic und J Smith. Springer. doi: 10.1007/978-3-319-10762-2_14.
- Rudolph, G, Schütze, O, Grimme, C, und 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, Bd. 288 aus Advances in Intelligent Systems and Computing, herausgegeben von A Tantar, E Tantar, J Sun, W Zhang, Q Ding, O Schütze, M Emmerich, P Legrand, Moral P Del und Coello CA Coello. 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, und Trautmann, Heike. . „Cell Mapping Techniques for Exploratory Landscape Analysis.“ In EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation V, Bd. 288 aus Advances in Intelligent Systems and Computing, herausgegeben von Alexandru-Adrian Tantar, Emilia Tantar, Jian-Qiao Sun, Wei Zhang, Qian Ding, Oliver Schütze, Michael T M Emmerich, Pierrick Legrand, Moral Pierre Del und Coello Carlos A Coello. Cham: Springer International Publishing. doi: 10.1007/978-3-319-07494-8_9.
- Rudolph, Günter Grimme Christian, und Schütze, Oliver Trautmann Heike. . „An Aspiration Set EMOA Based on Averaged Hausdorff Distances.“ In Bd. 8426 aus Lecture Notes in Computer Science Springer.
- Sosa-Hernandez, VA, Schütze, O, Rudoph, G, und 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, GECCO '13 Companion New York, NY, USA: ACM Press. doi: 10.1145/2464576.2482756.
- Trautmann, H, Wagne, T, und Brockhoff, D. . „R2-EMOA: Focused Multiobjective Search Using R2-Indicator-Based Selection.“ In Bd. 7997 aus Lecture Notes in Computer Science, herausgegeben von H Trautmann, T Wagner und D Brockhoff.
- Sosa, Hernández V, Schütze, O, Rudolph, G, und 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, Bd. 227 aus Advances in Intelligent Systems and Computing, herausgegeben von M Emmerich, A Deutz, O Schuetze, T Bäck, A Tantar, PD Moral, P Legrand, P Bouvry und CA Coello. Springer International Publishing. doi: 10.1007/978-3-319-01128-8_13.
- Preuss, M, Kozakowski, D, Hagelbäck, J, und Trautmann, H. . „Reactive strategy choice in StarCraft by means of Fuzzy Control.“ Beitrag präsentiert auf der 2013 IEEE Conference on Computational Inteligence in Games (CIG), Niagara Falls, ON, Canada,
- Trautmann, H, Rudolph, G, Dominguez-Medina, C, und 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, Bd. 175 aus Advances in Intelligent Systems and Computing, herausgegeben von O Schütze, Coello CA Coello, A Tantar, E Tantar, P Bouvry, Moral P Del und P Legrand. Springer VDI Verlag. doi: 10.1007/978-3-642-31519-0_6.
- Dominguez-Medina, C, Rudolph, G, Schütze, O, und Trautmann, H. . „Evenly spaced Pareto fronts of quad-objective problems using PSA partitioning technique.“ Beitrag präsentiert auf der 2013 IEEE Congress on Evolutionary Computation (CEC), Cancun, Mexico
- Trautmann, H, Wagner, T, Biermann, D, und Weihs, C. . „Indicator-based Selection in Evolutionary Multiobjective Optimization Algorithms Based On the Desirability Index.“ Journal of Multi-Criteria Decision Analysis 20 (5-6): 319–337.
- Nallaperuma, S, Wagner, M, Neumann, F, Bischl, B, Mersmann, O, und 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, herausgegeben von F Neumann und K de Jong.
- Wagner, T, Trautmann, H, und Brockhoff, D. . „Preference Articulation by Means of the R2 Indicator.“ In Evolutionary Multi-Criterion Optimization - 7th International Conference, EMO 2013, Sheffield, UK, Proceedings, Lecture Notes in Computer Science, herausgegeben von RC Purshouse, PJ Fleming, CM Fonseca, S Greco und J Shaw. Springer.
- Rudolph, G, Trautmann, H, Sengupta, S, und 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, Lecture Notes in Computer Science, herausgegeben von RC Purshouse, PJ Fleming, CM Fonseca, S Greco und J Shaw. Springer.
- Mersmann, O, Bischl, B, Trautmann, H, Wagner, M, Bossek, J, und 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.
- Brockhoff, D, Wagner, T, und Trautmann, H. . „On the Properties of the R2 Indicator.“ In Proc. 14th Int'l. Genetic and Evolutionary Computation Conference (GECCO '12), herausgegeben von T Soule und others. ACM Press. doi: 10.1145/2330163.2330230.
- Bischl, B, Mersmann, O, Trautmann, H, und Preuss, M. . „Algorithm selection based on exploratory landscape analysis and cost-sensitive learning.“ In Genetic and Evolutionary Computation Conference, GECCO '12, Philadelphia, PA, USA, herausgegeben von T Soule und JH Moore. ACM Press.
- Mersmann, O, Bischl, B, Bossek, J, Trautmann, H, Wagner, M, und 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, Lecture Notes in Computer Science, herausgegeben von Y Hamadi und M Schoenauer. Springer.
- Rudolph, G, Trautmann, H, und Schütze, O. . „Homogene Approximation der Paretofront bei mehrkriteriellen Kontrollproblemen.“ at-Automatisierungstechnik 60 ( ): 610–621. doi: 10.1524/auto.2012.1033.
- Bischl, B, Mersmann, O, Trautmann, H, und Weihs, C. . „Resampling Methods in Model Validation.“ Evolutionary Computation 20 (2): 249–275. doi: 10.1162/EVCO_a_00069.
- Naujoks, B, Trautmann, H, Wessing, S, und 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, und 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) Wiley-IEEE Press. doi: 10.1109/ICEEE.2011.6106656.
- Wagner, T, Trautmann, H, und Marti, L. . „A Taxonomy of Online Stopping Criteria for Multi-Objective Evolutionary Algorithms.“ In Evolutionary Multi-Criterion Optimization, Lecture Notes in Computer Science, herausgegeben von R Takahashi, K Deb, E Wanner und S Greco. Springer.
- Mersmann, O, Bischl, B, Trautmann, H, Preuss, M, Weihs, C, und Rudolph, G. . „Exploratory landscape analysis.“ In Proceedings of the 13th annual conference on Genetic and evolutionary computation, GECCO '11 New York, NY, USA: ACM Press.
- Wagner, T, und Trautmann, H. . „Online convergence detection for evolutionary multi-objective algorithms revisited.“ In Proceedings of the IEEE Congress on Evolutionary Computation, CEC 2010, Barcelona, Spain Wiley-IEEE Press.
- Mersmann, O, Trautmann, H, Naujoks, B, und Weihs, C. . „On the Distribution of EMOA Hypervolumes.“ In Learning and Intelligent Optimization, 4th International Conference, LION 4, Venice, Italy, Lecture Notes in Computer Science, herausgegeben von C Blum und R Battiti. Springer.
- Mostaghim, S, Trautmann, H, und 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, Lecture Notes in Computer Science, herausgegeben von R Schaefer, C Cotta, J Kolodziej und G Rudolph. Springer.
- Mersmann, O, Preuss, M, und Trautmann, H. . „Benchmarking Evolutionary Algorithms: Towards Exploratory Landscape Analysis.“ In 11th International Conference on Parallel Problem Solving from Nature - PPSN XI, Proceedings, Part I, Lecture Notes in Computer Science, herausgegeben von R Schaefer, C Cotta, J Kolodziej und G Rudolph. Springer.
- Voss, T, Trautmann, H, und 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, Lecture Notes in Computer Science, herausgegeben von R Schaefer, C Cotta, J Kolodziej und G Rudolph. Springer.
- Bischl, B, Mersmann, O, und 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, herausgegeben von T Bartz-Beielstein, M Chiarandini, L Paquete und M Preuss. Technische Universität Dortmund.
- Azene, YT, Roy, R, Farrugia, D, Onisa, C, Mehnen, J, und 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, und Weihs, C. . „Benchmarking evolutionary multiobjective optimization algorithms.“ In Proceedings of the IEEE Congress on Evolutionary Computation, CEC 2010, Barcelona, Spain Wiley-IEEE Press.
- Wagner, T, und Trautmann, H. . „Integration of Preferences in Hypervolume-Based Multiobjective Evolutionary Algorithms by Means of Desirability Functions.“ IEEE Transactions on Evolutionary Computation 14 (5): 688–701. doi: 10.1109/TEVC.2010.2058119.
- Ding, J, Wessing, S, Trautmann, H, Mehnen, J, und 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), herausgegeben von R Teti. Capri, Italy: Copyright C.O.C. Com. org. Conv..
- Trautmann, H, und Mehnen, J. . „Statistical Methods for Improving Multi-objective Evolutionary Optimisation.“ International Journal of Computational Intelligence Research 5 (2): 72–78. doi: 10.5019/j.ijcir.2009.172.
- Naujoks, B, und Trautmann, H. . „Online Convergence Detection for Multiobjective Aerodynamic Applications.“ In Proceedings of the IEEE Congress on Evolutionary Computation, CEC 2009, Trondheim, Norway, herausgegeben von A Tyrrell. Wiley-IEEE Press.
- Trautmann, H, Mehnen, J, und Naujoks, B. . „Pareto-Dominance in Noisy Environments.“ In Proceedings of the IEEE Congress on Evolutionary Computation, CEC 2009, Trondheim, Norway, herausgegeben von A Tyrrell. Wiley-IEEE Press.
- Trautmann, H, und Mehnen, J. . „Preference-Based Pareto-Optimization in Certain and Noisy Environments.“ Engineering Optimization 41: 23–38. doi: 10.1080/03052150802347926.
- Trautmann, T.Wagner H., und B, Naujoks. . „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, herausgegeben von C Fonseca und X Gandibleux. Springer.
- Trautmann, H, Wagner, T, Naujoks, B, Preuss, M, und Mehnen, J. . „Statistical Methods for Convergence Detection of Multi-Objective Evolutionary Algorithms.“ Evolutionary Computation 17 (4): 493–509.
- Mehnen, J, und 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), herausgegeben von R Teti. Naples, Italy: Copyright C.O.C. Com. org. Conv..
- Trautmann, H, Ligges, U, Mehnen, J, und Preuss, M. . „A Convergence Criterion for Multiobjective Evolutionary Algorithms Based on Systematic Statistical Testing.“ In Parallel Problem Solving from Nature (PPSN), herausgegeben von G Rudolph und others. Springer.
- Weihs, C, und Trautmann, H. . „Parallel Universes: Multi-Criteria Optimization.“ In Dagstuhl Seminar Proceedings 07181, Parallel Universes and Local Patterns, herausgegeben von MR Berthold, K Morik und A Siebes. Schloss Dagstuhl, Germany: Dagstuhl Publishing.
- Mehnen, J, Trautmann, H, und Tiwari, A. . „Introducing User Preference Using Desirability Functions in Multi-Objective Evolutionary Optimisation of Noisy Processes.“ In CEC 2007, IEEE Congress on Evolutionary Computation, herausgegeben von KC Tan und J Xu. Singapore: .
- Mehnen, J, und 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, herausgegeben von R Teti. Ischia, Italy: C.O.C. Com. org. Conv. CIRP ICME '06.
- Trautmann, H, und Weihs, C. . „On the Distribution of the Desirability Index using Harrington's Desirability Function.“ Metrika 63 (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, Dennis Data Analytics for Harmful Online Communication in Social Media Carnein, Matthias Machine Learning on Data Streams - Improving the Applicability and Performance of Stream Clustering Algorithms Bossek, Jakob Investigating Problem Hardness in (Multi-Objective) Combinatorial Optimization: Algorithm Selection, Instance Generation and Tailored Algorithm Design Kerschke, Pascal Automated and Feature-Based Problem Characterization and Algorithm Selection Through Machine Learning Habilitation
Grimme, Christian Hybridization of Algorithmic Decision Support in Optimization and Data Analysis
Prof. Dr. Heike Trautmann
