World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
36
Citations
4913
World Ranking
11337
National Ranking
566

Overview

Heike Trautmann is affiliated with the University of Münster in Germany and works primarily in the field of Computer Science. Their research spans several specialized subfields including Artificial Intelligence, Computational Theory and Mathematics, Management Science and Operations Research, Computer Networks and Communications, and Control and Systems Engineering.

The scientist's research interests are reflected in a variety of topics prominently covered in their work. These include:

  • Advanced Multi-Objective Optimization Algorithms
  • Metaheuristic Optimization Algorithms Research
  • Machine Learning and Data Classification
  • Hate Speech and Cyberbullying Detection
  • Vehicle Routing Optimization Methods
  • Constraint Satisfaction and Optimization
  • Scheduling and Timetabling Solutions

Heike Trautmann has contributed to multiple research articles published in academic journals and conferences. Notable recent papers include:

  • "Demystifying Social Bots: On the Intelligence of Automated Social Media Actors" (2020, Social Media + Society)
  • "What is it about humanity that we can't give away to intelligent machines? A European perspective" (2021, International Journal of Information Management)
  • "Peeking beyond peaks: Challenges and research potentials of continuous multimodal multi-objective optimization" (2021, Computers & Operations Research)
  • "Pflacco: Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems in Python" (2023, Evolutionary Computation)
  • "Benchmarking Crisis in Social Media Analytics: A Solution for the Data-Sharing Problem" (2021, Social Science Computer Review)

Collaborations are a key component of Trautmann's research output. Frequent coauthors include Pascal Kerschke, Moritz Vinzent Seiler, Christian Grimme, Raphael Patrick Prager, and Jakob Bossek. These collaborations highlight interconnected research efforts within optimization and evolutionary computation domains.

The venues where Trautmann's work is published are diverse, with a concentration in evolutionary computation and related fields. Frequent publication venues include:

  • arXiv (Cornell University)
  • Proceedings of the Genetic and Evolutionary Computation Conference
  • Evolutionary Computation
  • IEEE Transactions on Evolutionary Computation
  • Proceedings of the Genetic and Evolutionary Computation Conference Companion

In addition to journal and conference papers, Heike Trautmann has contributed to book publications. These include works published by Springer Science+Business Media, featuring titles such as "Parallel Problem Solving from Nature - PPSN XVI" published in 2020. Trautmann also has editorial or authorial contributions in the volume "Hate Speech" published by Aktivismus- und Propagandaforschung in 2022.

Best Publications

  • Automated Algorithm Selection: Survey and Perspectives

    Pascal Kerschke;Holger H. Hoos;Frank Neumann;Heike Trautmann

  • Exploratory landscape analysis

    Olaf Mersmann;Bernd Bischl;Heike Trautmann;Mike Preuss

  • Resampling methods for meta-model validation with recommendations for evolutionary computation

    B. Bischl;O. Mersmann;H. Trautmann;C. Weihs

  • On the properties of the R2 indicator

    Dimo Brockhoff;Tobias Wagner;Heike Trautmann

  • Algorithm selection based on exploratory landscape analysis and cost-sensitive learning

    Bernd Bischl;Olaf Mersmann;Heike Trautmann;Mike Preuß

  • Social Bots: Human-Like by Means of Human Control?

    Christian Grimme;Mike Preuss;Lena Adam;Heike Trautmann

  • Automated Algorithm Selection on Continuous Black-Box Problems By Combining Exploratory Landscape Analysis and Machine Learning

    Pascal Kerschke;Heike Trautmann

  • Integration of Preferences in Hypervolume-Based Multiobjective Evolutionary Algorithms by Means of Desirability Functions

    Tobias Wagner;Heike Trautmann

  • Benchmarking evolutionary algorithms: towards exploratory landscape analysis

    Olaf Mersmann;Mike Preuss;Heike Trautmann

  • R2-EMOA: Focused Multiobjective Search Using R2-Indicator-Based Selection

    Heike Trautmann;Tobias Wagner;Dimo Brockhoff

  • Comprehensive Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems Using the R-Package flacco

    Pascal Kerschke;Heike Trautmann

  • A novel feature-based approach to characterize algorithm performance for the traveling salesperson problem

    Olaf Mersmann;Bernd Bischl;Heike Trautmann;Markus Wagner

  • 2 indicator-based multiobjective search

    Dimo Brockhoff;Tobias Wagner;Heike Trautmann

  • Detecting Funnel Structures by Means of Exploratory Landscape Analysis

    Pascal Kerschke;Mike Preuss;Simon Wessing;Heike Trautmann

  • On the distribution of the desirability index using Harrington’s desirability function

    Heike Trautmann;Claus Weihs

  • Leveraging TSP Solver Complementarity through Machine Learning

    Pascal Kerschke;Lars Kotthoff;Jakob Bossek;Holger H. Hoos

  • Demystifying Social Bots: On the Intelligence of Automated Social Media Actors:

    Dennis Assenmacher;Lena Clever;Lena Frischlich;Lena Frischlich;Thorsten Quandt

  • Improving the State of the Art in Inexact TSP Solving Using Per-Instance Algorithm Selection

    Lars Kotthoff;Pascal Kerschke;Holger H Hoos;Heike Trautmann

  • Optimizing Data Stream Representation: An Extensive Survey on Stream Clustering Algorithms

    Matthias Carnein;Heike Trautmann

  • Statistical methods for convergence detection of multi-objective evolutionary algorithms

    H. Trautmann;T. Wagner;B. Naujoks;M. Preuss

  • Preference-Based Pareto-Optimization in Certain and Noisy Environments

    Heike Trautmann;Jörn Mehnen

Frequent Co-Authors

Günter Rudolph
Günter Rudolph TU Dortmund University
Mike Preuss
Mike Preuss Leiden University
Bernd Bischl
Bernd Bischl Ludwig-Maximilians-Universität München
Frank Neumann
Frank Neumann University of Adelaide
Michael Emmerich
Michael Emmerich Leiden University
Holger H. Hoos
Holger H. Hoos RWTH Aachen University
Markus Wagner
Markus Wagner Monash University
Gottfried Vossen
Gottfried Vossen University of Münster
Bernhard Pfahringer
Bernhard Pfahringer University of Waikato
Albert Bifet
Albert Bifet University of Waikato

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