Diederick Vermetten

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 82

Top Topics

Iterative Optimization

Infeasible Solutions

Portfolio Selection

Benchmark Suite

Top Venues

GECCO Companion

Publications

Ana Nikolikj, Ana Kostovska, Diederick Vermetten, Carola Doerr, Tome Eftimov
Quantifying Individual and Joint Module Impact in Modular Optimization Frameworks. CoRR (2024)
Diederick Vermetten, Carola Doerr, Hao Wang, Anna V. Kononova, Thomas Bäck
Large-scale Benchmarking of Metaphor-based Optimization Heuristics. CoRR (2024)
Diederick Vermetten, Johannes Lengler, Dimitri Rusin, Thomas Bäck, Carola Doerr
Empirical Analysis of the Dynamic Binary Value Problem with IOHprofiler. CoRR (2024)
Niki van Stein, Diederick Vermetten, Anna V. Kononova, Thomas Bäck
Explainable Benchmarking for Iterative Optimization Heuristics. CoRR (2024)
Haoran Yin, Diederick Vermetten, Furong Ye, Thomas H. W. Bäck, Anna V. Kononova
Impact of spatial transformations on landscape features of CEC2022 basic benchmark problems. CoRR (2024)
Martijn Halsema, Diederick Vermetten, Thomas Bäck, Niki van Stein
A Critical Analysis of Raven Roost Optimization. GECCO Companion (2024)
Jacob de Nobel, Diederick Vermetten, Anna V. Kononova, Ofer M. Shir, Thomas Bäck
Avoiding Redundant Restarts in Multimodal Global Optimization. CoRR (2024)
Carola Doerr, Diederick Vermetten, Jacob de Nobel, Thomas Bäck
Benchmarking and Analyzing Iterative Optimization Heuristics with IOHprofiler. GECCO Companion (2024)
Shuaiqun Pan, Diederick Vermetten, Manuel López-Ibáñez, Thomas Bäck, Hao Wang
Transfer Learning of Surrogate Models via Domain Affine Transformation. GECCO (2024)
Diederick Vermetten, Carola Doerr, Hao Wang, Anna V. Kononova, Thomas Bäck
Large-Scale Benchmarking of Metaphor-Based Optimization Heuristics. GECCO (2024)
Ana Nikolikj, Ana Kostovska, Diederick Vermetten, Carola Doerr, Tome Eftimov
Quantifying Individual and Joint Module Impact in Modular Optimization Frameworks. CEC (2024)
Anna V. Kononova, Diederick Vermetten, Fabio Caraffini, Madalina-Andreea Mitran, Daniela Zaharie
The Importance of Being Constrained: Dealing with Infeasible Solutions in Differential Evolution and Beyond. Evol. Comput. 32 (1) (2024)
Konstantin Dietrich, Diederick Vermetten, Carola Doerr, Pascal Kerschke
Impact of Training Instance Selection on Automated Algorithm Selection Models for Numerical Black-box Optimization. GECCO (2024)
Konstantin Dietrich, Diederick Vermetten, Carola Doerr, Pascal Kerschke
Impact of Training Instance Selection on Automated Algorithm Selection Models for Numerical Black-box Optimization. CoRR (2024)
Manuel López-Ibáñez, Diederick Vermetten, Johann Dréo, Carola Doerr
Using the Empirical Attainment Function for Analyzing Single-objective Black-box Optimization Algorithms. CoRR (2024)
Diederick Vermetten, Martin S. Krejca, Marius Lindauer, Manuel López-Ibáñez, Katherine M. Malan
Synergizing Theory and Practice of Automated Algorithm Design for Optimization (Dagstuhl Seminar 23332). Dagstuhl Reports 13 (8) (2023)
Bas van Stein, Diederick Vermetten, Fabio Caraffini, Anna V. Kononova
Deep BIAS: Detecting Structural Bias using Explainable AI. GECCO Companion (2023)
Thomas H. W. Bäck, Anna V. Kononova, Bas van Stein, Hao Wang, Kirill A. Antonov, Roman T. Kalkreuth, Jacob de Nobel, Diederick Vermetten, Roy de Winter, Furong Ye
Evolutionary Algorithms for Parameter Optimization - Thirty Years Later. Evol. Comput. 31 (2) (2023)
Diederick Vermetten, Fabio Caraffini, Anna V. Kononova, Thomas Bäck
Modular Differential Evolution. GECCO (2023)
François Clément, Diederick Vermetten, Jacob de Nobel, Alexandre D. Jesus, Luís Paquete, Carola Doerr
Computing Star Discrepancies with Numerical Black-Box Optimization Algorithms. CoRR (2023)
Frank Neumann, Aneta Neumann, Chao Qian, Anh Viet Do, Jacob de Nobel, Diederick Vermetten, Saba Sadeghi Ahouei, Furong Ye, Hao Wang, Thomas Bäck
Benchmarking Algorithms for Submodular Optimization Problems Using IOHProfiler. CEC (2023)
Ana Kostovska, Gjorgjina Cenikj, Diederick Vermetten, Anja Jankovic, Ana Nikolikj, Urban Skvorc, Peter Korosec, Carola Doerr, Tome Eftimov
PS-AAS: Portfolio Selection for Automated Algorithm Selection in Black-Box Optimization. CoRR (2023)
André Thomaser, Jacob de Nobel, Diederick Vermetten, Furong Ye, Thomas Bäck, Anna V. Kononova
When to be Discrete: Analyzing Algorithm Performance on Discretized Continuous Problems. CoRR (2023)
Diederick Vermetten, Furong Ye, Thomas Bäck, Carola Doerr
MA-BBOB: Many-Affine Combinations of BBOB Functions for Evaluating AutoML Approaches in Noiseless Numerical Black-Box Optimization Contexts. AutoML (2023)
Fu Xing Long, Diederick Vermetten, Anna V. Kononova, Roman Kalkreuth, Kaifeng Yang, Thomas Bäck, Niki van Stein
Challenges of ELA-Guided Function Evolution Using Genetic Programming. IJCCI (2023)
Ana Kostovska, Anja Jankovic, Diederick Vermetten, Saso Dzeroski, Tome Eftimov, Carola Doerr
Comparing Algorithm Selection Approaches on Black-Box Optimization Problems. CoRR (2023)
Diederick Vermetten, Furong Ye, Carola Doerr
Using Affine Combinations of BBOB Problems for Performance Assessment. CoRR (2023)
Diederick Vermetten, Manuel López-Ibáñez, Olaf Mersmann, Richard Allmendinger, Anna V. Kononova
Analysis of modular CMA-ES on strict box-constrained problems in the SBOX-COST benchmarking suite. CoRR (2023)
Roman Kalkreuth, Zdenek Vasícek, Jakub Husa, Diederick Vermetten, Furong Ye, Thomas Bäck
General Boolean Function Benchmark Suite. FOGA (2023)
Bas van Stein, Diederick Vermetten, Fabio Caraffini, Anna V. Kononova
Deep-BIAS: Detecting Structural Bias using Explainable AI. CoRR (2023)
Diederick Vermetten, Furong Ye, Thomas Bäck, Carola Doerr
MA-BBOB: A Problem Generator for Black-Box Optimization Using Affine Combinations and Shifts. CoRR (2023)
Diederick Vermetten, Furong Ye, Carola Doerr
Using Affine Combinations of BBOB Problems for Performance Assessment. GECCO (2023)
Diederick Vermetten, Fabio Caraffini, Anna V. Kononova, Thomas Bäck
Modular Differential Evolution. CoRR (2023)
François Clément, Diederick Vermetten, Jacob de Nobel, Alexandre D. Jesus, Luís Paquete, Carola Doerr
Computing Star Discrepancies with Numerical Black-Box Optimization Algorithms. GECCO (2023)
Fu Xing Long, Diederick Vermetten, Anna V. Kononova, Roman Kalkreuth, Kaifeng Yang, Thomas Bäck, Niki van Stein
Challenges of ELA-guided Function Evolution using Genetic Programming. CoRR (2023)
André Thomaser, Jacob de Nobel, Diederick Vermetten, Furong Ye, Thomas Bäck, Anna V. Kononova
When to be Discrete: Analyzing Algorithm Performance on Discretized Continuous Problems. GECCO (2023)
Diederick Vermetten, Manuel López-Ibáñez, Olaf Mersmann, Richard Allmendinger, Anna V. Kononova
Analysis of modular CMA-ES on strict box-constrained problems in the SBOX-COST benchmarking suite. GECCO Companion (2023)
Roman Kalkreuth, Zdenek Vasícek, Jakub Husa, Diederick Vermetten, Furong Ye, Thomas Bäck
Towards a General Boolean Function Benchmark Suite. GECCO Companion (2023)
Carola Doerr, Hao Wang, Diederick Vermetten, Thomas Bäck, Jacob de Nobel, Furong Ye
Benchmarking and analyzing iterative optimization heuristics with IOHprofiler. GECCO Companion (2023)
Ana Kostovska, Diederick Vermetten, Carola Doerr, Saso Dzeroski, Pance Panov, Tome Eftimov
OPTION: OPTImization Algorithm Benchmarking ONtology. IEEE Trans. Evol. Comput. 27 (6) (2023)
Ana Kostovska, Gjorgjina Cenikj, Diederick Vermetten, Anja Jankovic, Ana Nikolikj, Urban Skvorc, Peter Korosec, Carola Doerr, Tome Eftimov
PS-AAS: Portfolio Selection for Automated Algorithm Selection in Black-Box Optimization. AutoML (2023)
Diederick Vermetten, Furong Ye, Thomas Bäck, Carola Doerr
MA-BBOB: Many-Affine Combinations of BBOB Functions for Evaluating AutoML Approaches in Noiseless Numerical Black-Box Optimization Contexts. CoRR (2023)
Frank Neumann, Aneta Neumann, Chao Qian, Anh Viet Do, Jacob de Nobel, Diederick Vermetten, Saba Sadeghi Ahouei, Furong Ye, Hao Wang, Thomas Bäck
Benchmarking Algorithms for Submodular Optimization Problems Using IOHProfiler. CoRR (2023)
Ana Kostovska, Anja Jankovic, Diederick Vermetten, Saso Dzeroski, Tome Eftimov, Carola Doerr
Comparing Algorithm Selection Approaches on Black-Box Optimization Problems. GECCO Companion (2023)
Ana Kostovska, Diederick Vermetten, Saso Dzeroski, Pance Panov, Tome Eftimov, Carola Doerr
Using Knowledge Graphs for Performance Prediction of Modular Optimization Algorithms. CoRR (2023)
Diederick Vermetten, Hao Wang, Kevin Sim, Emma Hart
To Switch or not to Switch: Predicting the Benefit of Switching between Algorithms based on Trajectory Features. CoRR (2023)
Ana Nikolikj, Gjorgjina Cenikj, Gordana Ispirova, Diederick Vermetten, Ryan Dieter Lang, Andries Petrus Engelbrecht, Carola Doerr, Peter Korosec, Tome Eftimov
Assessing the Generalizability of a Performance Predictive Model. CoRR (2023)
Ana Nikolikj, Gjorgjina Cenikj, Gordana Ispirova, Diederick Vermetten, Ryan Dieter Lang, Andries Petrus Engelbrecht, Carola Doerr, Peter Korosec, Tome Eftimov
Assessing the Generalizability of a Performance Predictive Model. GECCO Companion (2023)
Diederick Vermetten, Fabio Caraffini, Bas van Stein, Anna V. Kononova
Using structural bias to analyse the behaviour of modular CMA-ES. GECCO Companion (2022)
Anja Jankovic, Diederick Vermetten, Ana Kostovska, Jacob de Nobel, Tome Eftimov, Carola Doerr
Trajectory-based Algorithm Selection with Warm-starting. CEC (2022)
Hao Wang, Diederick Vermetten, Furong Ye, Carola Doerr, Thomas Bäck
IOHanalyzer: Detailed Performance Analyses for Iterative Optimization Heuristics. ACM Trans. Evol. Learn. Optim. 2 (1) (2022)
Ana Kostovska, Diederick Vermetten, Saso Dzeroski, Carola Doerr, Peter Korosec, Tome Eftimov
The importance of landscape features for performance prediction of modular CMA-ES variants. GECCO (2022)
Hao Wang, Diederick Vermetten, Furong Ye, Carola Doerr, Thomas Bäck
IOHanalyzer: Detailed performance analyses for iterative optimization heuristics: hot-off-the-press track @ GECCO 2022. GECCO Companion (2022)
Ana Kostovska, Diederick Vermetten, Carola Doerr, Saso Dzeroski, Pance Panov, Tome Eftimov
OPTION: OPTImization Algorithm Benchmarking ONtology. CoRR (2022)
Ana Kostovska, Diederick Vermetten, Saso Dzeroski, Carola Doerr, Peter Korosec, Tome Eftimov
The Importance of Landscape Features for Performance Prediction of Modular CMA-ES Variants. CoRR (2022)
Fu Xing Long, Diederick Vermetten, Bas van Stein, Anna V. Kononova
BBOB Instance Analysis: Landscape Properties and Algorithm Performance across Problem Instances. CoRR (2022)
Diederick Vermetten, Hao Wang, Manuel López-Ibáñez, Carola Doerr, Thomas Bäck
Analyzing the impact of undersampling on the benchmarking and configuration of evolutionary algorithms. GECCO (2022)
Carola Doerr, Hao Wang, Diederick Vermetten, Thomas Bäck, Jacob de Nobel, Furong Ye
Benchmarking and analyzing iterative optimization heuristics with IOH profiler. GECCO Companion (2022)
Anja Jankovic, Diederick Vermetten, Ana Kostovska, Jacob de Nobel, Tome Eftimov, Carola Doerr
Trajectory-based Algorithm Selection with Warm-starting. CoRR (2022)
Diederick Vermetten, Bas van Stein, Fabio Caraffini, Leandro L. Minku, Anna V. Kononova
BIAS: A Toolbox for Benchmarking Structural Bias in the Continuous Domain. IEEE Trans. Evol. Comput. 26 (6) (2022)
Diederick Vermetten, Hao Wang, Manuel López-Ibáñez, Carola Doerr, Thomas Bäck
Analyzing the Impact of Undersampling on the Benchmarking and Configuration of Evolutionary Algorithms. CoRR (2022)
Furong Ye, Diederick Vermetten, Carola Doerr, Thomas Bäck
Non-elitist Selection Can Improve the Performance of Irace. PPSN (1) (2022)
Ana Kostovska, Anja Jankovic, Diederick Vermetten, Jacob de Nobel, Hao Wang, Tome Eftimov, Carola Doerr
Per-run Algorithm Selection with Warm-Starting Using Trajectory-Based Features. PPSN (1) (2022)
Anna V. Kononova, Diederick Vermetten, Fabio Caraffini, Madalina-A. Mitran, Daniela Zaharie
The importance of being constrained: dealing with infeasible solutions in Differential Evolution and beyond. CoRR (2022)
Ana Kostovska, Anja Jankovic, Diederick Vermetten, Jacob de Nobel, Hao Wang, Tome Eftimov, Carola Doerr
Per-run Algorithm Selection with Warm-starting using Trajectory-based Features. CoRR (2022)
Dominik Schröder, Diederick Vermetten, Hao Wang, Carola Doerr, Thomas Bäck
Chaining of Numerical Black-box Algorithms: Warm-Starting and Switching Points. CoRR (2022)
Diederick Vermetten, Anna V. Kononova, Fabio Caraffini, Hao Wang, Thomas Bäck
Is there anisotropy in structural bias? GECCO Companion (2021)
Jacob de Nobel, Furong Ye, Diederick Vermetten, Hao Wang, Carola Doerr, Thomas Bäck
IOHexperimenter: Benchmarking Platform for Iterative Optimization Heuristics. CoRR (2021)
Ana Kostovska, Diederick Vermetten, Carola Doerr, Saso Dzeroski, Pance Panov, Tome Eftimov
OPTION: OPTImization Algorithm Benchmarking ONtology. CoRR (2021)
Ana Kostovska, Diederick Vermetten, Carola Doerr, Saso Dzeroski, Pance Panov, Tome Eftimov
OPTION: optimization algorithm benchmarking ontology. GECCO Companion (2021)
Jacob de Nobel, Diederick Vermetten, Hao Wang, Carola Doerr, Thomas Bäck
Tuning as a means of assessing the benefits of new ideas in interplay with existing algorithmic modules. GECCO Companion (2021)
Jacob de Nobel, Diederick Vermetten, Hao Wang, Carola Doerr, Thomas Bäck
Tuning as a Means of Assessing the Benefits of New Ideas in Interplay with Existing Algorithmic Modules. CoRR (2021)
Diederick Vermetten, Anna V. Kononova, Fabio Caraffini, Hao Wang, Thomas Bäck
Is there Anisotropy in Structural Bias? CoRR (2021)
Nils van den Honert, Diederick Vermetten, Anna V. Kononova
Benchmarking the Status of Default Pseudorandom Number Generators in Common Programming Languages. CoRR (2021)
Diederick Vermetten, Hao Wang, Thomas Bäck, Carola Doerr
Towards dynamic algorithm selection for numerical black-box optimization: investigating BBOB as a use case. GECCO (2020)
Noor H. Awad, Gresa Shala, Difan Deng, Neeratyoy Mallik, Matthias Feurer, Katharina Eggensperger, André Biedenkapp, Diederick Vermetten, Hao Wang, Carola Doerr, Marius Lindauer, Frank Hutter
Squirrel: A Switching Hyperparameter Optimizer. CoRR (2020)
Diederick Vermetten, Hao Wang, Carola Doerr, Thomas Bäck
Towards Dynamic Algorithm Selection for Numerical Black-Box Optimization: Investigating BBOB as a Use Case. CoRR (2020)
Hao Wang, Diederick Vermetten, Furong Ye, Carola Doerr, Thomas Bäck
IOHanalyzer: Performance Analysis for Iterative Optimization Heuristic. CoRR (2020)
Diederick Vermetten, Hao Wang, Carola Doerr, Thomas Bäck
Integrated vs. sequential approaches for selecting and tuning CMA-ES variants. GECCO (2020)
Diederick Vermetten, Sander van Rijn, Thomas Bäck, Carola Doerr
Online Selection of CMA-ES Variants. CoRR (2019)
Diederick Vermetten, Hao Wang, Carola Doerr, Thomas Bäck
Sequential vs. Integrated Algorithm Selection and Configuration: A Case Study for the Modular CMA-ES. CoRR (2019)
Diederick Vermetten, Sander van Rijn, Thomas Bäck, Carola Doerr
Online selection of CMA-ES variants. GECCO (2019)
Diederick Vermetten, Hao Wang, Kevin Sim, Emma Hart
To Switch or Not to Switch: Predicting the Benefit of Switching Between Algorithms Based on Trajectory Features. EvoApplications@EvoStar (2013)
Fu Xing Long, Diederick Vermetten, Bas van Stein, Anna V. Kononova
BBOB Instance Analysis: Landscape Properties and Algorithm Performance Across Problem Instances. EvoApplications@EvoStar (2013)
Ana Kostovska, Diederick Vermetten, Saso Dzeroski, Pance Panov, Tome Eftimov, Carola Doerr
Using Knowledge Graphs for Performance Prediction of Modular Optimization Algorithms. EvoApplications@EvoStar (2013)