Heike Trautmann
Orcid: 0000-0002-9788-8282Affiliations:
- Paderborn University, Department of Computer Science, Paderborn, Germany
- University of Münster, Department for Information Systems, Münster, Germany (former)
- Dortmund University, Department of Computational Statistics, Dortmund, Germany (former, PhD 2004)
According to our database1,
Heike Trautmann
authored at least 135 papers
between 2007 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
-
on id.loc.gov
-
on d-nb.info
On csauthors.net:
Bibliography
2025
IEEE Trans. Evol. Comput., October, 2025
IEEE Trans. Evol. Comput., August, 2025
RandOptGen: A Unified Random Problem Generator for Single- and Multi-Objective Optimization Problems with Mixed-Variable Input Spaces.
Proceedings of the Genetic and Evolutionary Computation Conference, 2025
Proceedings of the Genetic and Evolutionary Computation Conference, 2025
Automated Algorithm Configuration and Systematic Benchmarking for Heterogeneous MNK-Landscapes.
Proceedings of the Genetic and Evolutionary Computation Conference, 2025
Efficient Online Automated Algorithm Selection in the Face of Data-Drift in Optimisation Problem Instances.
Proceedings of the 18th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, 2025
MO-IOHinspector: Anytime Benchmarking of Multi-objective Algorithms Using IOHprofiler.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2025
2024
Pflacco: Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems in Python.
Evol. Comput., 2024
MO-IOHinspector: Anytime Benchmarking of Multi-Objective Algorithms using IOHprofiler.
CoRR, 2024
Deep-ELA: Deep Exploratory Landscape Analysis with Self-Supervised Pretrained Transformers for Single- and Multi-Objective Continuous Optimization Problems.
CoRR, 2024
Proceedings of the Parallel Problem Solving from Nature - PPSN XVIII, 2024
Hybridizing Target- and SHAP-Encoded Features for Algorithm Selection in Mixed-Variable Black-Box Optimization.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVIII, 2024
Synergies of Deep and Classical Exploratory Landscape Features for Automated Algorithm Selection.
Proceedings of the Learning and Intelligent Optimization - 18th International Conference, 2024
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024
On the Potential of Multi-objective Automated Algorithm Configuration on Multi-modal Multi-objective Optimisation Problems.
Proceedings of the Applications of Evolutionary Computation - 27th European Conference, 2024
2023
The objective that freed me: a multi-objective local search approach for continuous single-objective optimization.
Nat. Comput., June, 2023
Theor. Comput. Sci., 2023
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023
Investigating the Viability of Existing Exploratory Landscape Analysis Features for Mixed-Integer Problems.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023
Neural Networks as Black-Box Benchmark Functions Optimized for Exploratory Landscape Features.
Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, 2023
Nullifying the Inherent Bias of Non-invariant Exploratory Landscape Analysis Features.
Proceedings of the Applications of Evolutionary Computation - 26th European Conference, 2023
Peak-A-Boo! Generating Multi-objective Multiple Peaks Benchmark Problems with Precise Pareto Sets.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2023
2022
Correction to: Estimation of component reliability from superposed renewal processes by means of latent variables.
Comput. Stat., 2022
Estimation of component reliability from superposed renewal processes by means of latent variables.
Comput. Stat., 2022
HPO X ELA: Investigating Hyperparameter Optimization Landscapes by Means of Exploratory Landscape Analysis.
CoRR, 2022
HPO ˟ ELA: Investigating Hyperparameter Optimization Landscapes by Means of Exploratory Landscape Analysis.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022
Automated Algorithm Selection in Single-Objective Continuous Optimization: A Comparative Study of Deep Learning and Landscape Analysis Methods.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022
Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022
Artificial Social Media Campaign Creation for Benchmarking and Challenging Detection Approaches.
Proceedings of the Workshop Proceedings of the 16th International AAAI Conference on Web and Social Media, 2022
A collection of deep learning-based feature-free approaches for characterizing single-objective continuous fitness landscapes.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022
On the potential of automated algorithm configuration on multi-modal multi-objective optimization problems.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022
Proceedings of the Intelligent Information and Database Systems - 14th Asian Conference, 2022
2021
What is it about humanity that we can't give away to intelligent machines? A European perspective.
Int. J. Inf. Manag., 2021
Data Min. Knowl. Discov., 2021
Peeking beyond peaks: Challenges and research potentials of continuous multimodal multi-objective optimization.
Comput. Oper. Res., 2021
Towards Feature-Free Automated Algorithm Selection for Single-Objective Continuous Black-Box Optimization.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021
<tt>RP-Mod</tt>&<tt>RP-Crowd: </tt> Moderator- and Crowd-Annotated German News Comment Datasets.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021
Proceedings of the FOGA '21: Foundations of Genetic Algorithms XVI, 2021
Multi<sup>3</sup>: Optimizing Multimodal Single-Objective Continuous Problems in the Multi-objective Space by Means of Multiobjectivization.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2021
2020
A multi-objective perspective on performance assessment and automated selection of single-objective optimization algorithms.
Appl. Soft Comput., 2020
Multiobjectivization of Local Search: Single-Objective Optimization Benefits From Multi-Objective Gradient Descent.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020
Per-Instance Configuration of the Modularized CMA-ES by Means of Classifier Chains and Exploratory Landscape Analysis.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020
Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020
confStream: Automated Algorithm Selection and Configuration of Stream Clustering Algorithms.
Proceedings of the Learning and Intelligent Optimization - 14th International Conference, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Building an Integrated Comment Moderation System - Towards a Semi-automatic Moderation Tool.
Proceedings of the Social Computing and Social Media. Participation, User Experience, Consumer Experience, and Applications of Social Computing, 2020
Proceedings of the Social Computing and Social Media. Design, Ethics, User Behavior, and Social Network Analysis, 2020
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
Proceedings of the Thirty-Third International Florida Artificial Intelligence Research Society Conference, 2020
Anytime Behavior of Inexact TSP Solvers and Perspectives for Automated Algorithm Selection.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
2019
Automated Algorithm Selection on Continuous Black-Box Problems by Combining Exploratory Landscape Analysis and Machine Learning.
Evol. Comput., 2019
Optimizing Data Stream Representation: An Extensive Survey on Stream Clustering Algorithms.
Bus. Inf. Syst. Eng., 2019
Proceedings of the 21st IEEE Conference on Business Informatics, 2019
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019
Proceedings of the Disinformation in Open Online Media, 2019
Proceedings of the Disinformation in Open Online Media, 2019
Proceedings of the 15th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, 2019
Proceedings of the Evolutionary Multi-Criterion Optimization, 2019
Proceedings of the Evolutionary Multi-Criterion Optimization, 2019
2018
Swarm Evol. Comput., 2018
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018
Multi-objective Performance Measurement: Alternatives to PAR10 and Expected Running Time.
Proceedings of the Learning and Intelligent Optimization - 12th International Conference, 2018
Parameterization of state-of-the-art performance indicators: a robustness study based on inexact TSP solvers.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018
Proceedings of the Genetic and Evolutionary Computation Conference, 2018
2017
Proceedings of the Advances in Conceptual Modeling, 2017
Proceedings of the Advances in Conceptual Modeling, 2017
Proceedings of the Evolutionary Multi-Criterion Optimization, 2017
Building and Using an Ontology of Preference-Based Multiobjective Evolutionary Algorithms.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2017
Proceedings of the Computing Frontiers Conference, 2017
Proceedings of the Datenbanksysteme für Business, 2017
2016
The hypervolume based directed search method for multi-objective optimization problems.
J. Heuristics, 2016
Dagstuhl Reports, 2016
Optimal averaged Hausdorff archives for bi-objective problems: theoretical and numerical results.
Comput. Optim. Appl., 2016
Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016
Evolving Instances for Maximizing Performance Differences of State-of-the-Art Inexact TSP Solvers.
Proceedings of the Learning and Intelligent Optimization - 10th International Conference, 2016
Proceedings of the Learning and Intelligent Optimization - 10th International Conference, 2016
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016
Proceedings of the Applications of Evolutionary Computation - 19th European Conference, 2016
The R-Package FLACCO for exploratory landscape analysis with applications to multi-objective optimization problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
Understanding Characteristics of Evolved Instances for State-of-the-Art Inexact TSP Solvers with Maximum Performance Difference.
Proceedings of the AI*IA 2016: Advances in Artificial Intelligence - XVth International Conference of the Italian Association for Artificial Intelligence, Genova, Italy, November 29, 2016
2015
The Directed Search Method for Unconstrained Parameter Dependent Multi-objective Optimization Problems.
Proceedings of the NEO 2015, 2015
Improving the State of the Art in Inexact TSP Solving Using Per-Instance Algorithm Selection.
Proceedings of the Learning and Intelligent Optimization - 9th International Conference, 2015
Evaluation of a Multi-Objective EA on Benchmark Instances for Dynamic Routing of a Vehicle.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015
Averaged Hausdorff Approximations of Pareto Fronts based on Multiobjective Estimation of Distribution Algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015
Proceedings of the Genetic and Evolutionary Computation Conference, 2015
Proceedings of the Evolutionary Multi-Criterion Optimization, 2015
Proceedings of the 23rd European Conference on Information Systems, 2015
An Overview of Topic Discovery in Twitter Communication through Social Media Analytics.
Proceedings of the 21st Americas Conference on Information Systems, 2015
2014
Proceedings of the Parallel Problem Solving from Nature - PPSN XIII, 2014
Proceedings of the Learning and Intelligent Optimization, 2014
2013
A novel feature-based approach to characterize algorithm performance for the traveling salesperson problem.
Ann. Math. Artif. Intell., 2013
Proceedings of the Learning and Intelligent Optimization - 7th International Conference, 2013
Proceedings of the Genetic and Evolutionary Computation Conference, 2013
A feature-based comparison of local search and the christofides algorithm for the travelling salesperson problem.
Proceedings of the Foundations of Genetic Algorithms XII, 2013
Proceedings of the Evolutionary Multi-Criterion Optimization, 2013
Evenly Spaced Pareto Front Approximations for Tricriteria Problems Based on Triangulation.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2013
Proceedings of the 2013 IEEE Conference on Computational Inteligence in Games (CIG), 2013
Evenly spaced Pareto fronts of quad-objective problems using PSA partitioning technique.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013
2012
Resampling Methods for Meta-Model Validation with Recommendations for Evolutionary Computation.
Evol. Comput., 2012
A Novel Feature-Based Approach to Characterize Algorithm Performance for the Traveling Salesman Problem
CoRR, 2012
Autom., 2012
Local Search and the Traveling Salesman Problem: A Feature-Based Characterization of Problem Hardness.
Proceedings of the Learning and Intelligent Optimization - 6th International Conference, 2012
Proceedings of the Genetic and Evolutionary Computation Conference, 2012
Algorithm selection based on exploratory landscape analysis and cost-sensitive learning.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012
Proceedings of the EVOLVE, 2012
2011
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011
Proceedings of the Evolutionary Multi-Criterion Optimization, 2011
2010
Integration of Preferences in Hypervolume-Based Multiobjective Evolutionary Algorithms by Means of Desirability Functions.
IEEE Trans. Evol. Comput., 2010
Proceedings of the Parallel Problem Solving from Nature, 2010
Proceedings of the Parallel Problem Solving from Nature, 2010
Proceedings of the Parallel Problem Solving from Nature, 2010
Proceedings of the Learning and Intelligent Optimization, 4th International Conference, 2010
Proceedings of the Challenges at the Interface of Data Analysis, Computer Science, and Optimization - Proceedings of the 34th Annual Conference of the Gesellschaft für Klassifikation e. V., Karlsruhe, July 21, 2010
Proceedings of the IEEE Congress on Evolutionary Computation, 2010
Proceedings of the IEEE Congress on Evolutionary Computation, 2010
2009
Statistical Methods for Convergence Detection of Multi-Objective Evolutionary Algorithms.
Evol. Comput., 2009
OCD: Online Convergence Detection for Evolutionary Multi-Objective Algorithms Based on Statistical Testing.
Proceedings of the Evolutionary Multi-Criterion Optimization, 5th International Conference, 2009
Proceedings of the IEEE Congress on Evolutionary Computation, 2009
Proceedings of the IEEE Congress on Evolutionary Computation, 2009
2008
A Convergence Criterion for Multiobjective Evolutionary Algorithms Based on Systematic Statistical Testing.
Proceedings of the Parallel Problem Solving from Nature, 2008
2007
Proceedings of the Parallel Universes and Local Patterns, 01.05. - 04.05.2007, 2007
Introducing user preference using Desirability Functions in Multi-Objective Evolutionary Optimisation of noisy processes.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007