Diederick Vermetten

113 papers A 15B 4C 3Journal 61Unranked 30
YearRankTypeTitle / Venue / Authors
2026 J jnl
How Sequential Algorithm Portfolios can benefit Black Box Optimization.
CoRR
Catalin-Viorel Dinu, Diederick Vermetten, Carola Doerr
2025 A conf
A Standardized Benchmark Set of Clustering Problem Instances for Comparing Black-Box Optimizers.
FOGA
Diederick Vermetten, Catalin-Viorel Dinu, Marcus Gallagher
2025 J jnl
A Standardized Benchmark Set of Clustering Problem Instances for Comparing Black-Box Optimizers.
CoRR
Diederick Vermetten, Catalin-Viorel Dinu, Marcus Gallagher
2025 A conf
Abnormal Mutations: Evolution Strategies Don't Require Gaussianity.
GECCO
Jacob de Nobel, Diederick Vermetten, Hao Wang, Anna V. Kononova, Günter Rudolph, Thomas Bäck
2025 J jnl
Abnormal Mutations: Evolution Strategies Don't Require Gaussianity.
CoRR
Jacob de Nobel, Diederick Vermetten, Hao Wang, Anna V. Kononova, Günter Rudolph, Thomas Bäck
2025 — conf
Analyzing Single-objective Black-box Optimization Algorithms Using the Empirical Attainment Function.
GECCO Companion
Manuel López-Ibáñez, Diederick Vermetten, Johann Dréo, Carola Doerr
2025 — conf
Benchmarking single- and multi-objective optimization algorithms: how to make your experimental data more valuable.
GECCO Companion
Carola Doerr, Diederick Vermetten, Jacob de Nobel, Thomas Bäck
2025 J jnl
Benchmarking that Matters: Rethinking Benchmarking for Practical Impact.
CoRR
Anna V. Kononova, Niki van Stein, Olaf Mersmann, Thomas Bäck, Thomas Bartz-Beielstein, Tobias Glasmachers, Michael Hellwig, Sebastian Krey, Jakub Kudela, Boris Naujoks, Leonard Papenmeier, Elena Raponi, Quentin Renau, Jeroen Rook, Lennart Schäpermeier, Diederick Vermetten, Daniela Zaharie
2025 — conf
Explainable Benchmarking for Iterative Optimization Heuristics.
GECCO Companion
Niki van Stein, Diederick Vermetten, Anna V. Kononova, Thomas Bäck
2025 J jnl
Explainable Benchmarking for Iterative Optimization Heuristics.
ACM Trans. Evol. Learn. Optim.
Niki van Stein, Diederick Vermetten, Anna V. Kononova, Thomas Bäck
2025 J jnl
MA-BBOB: A Problem Generator for Black-Box Optimization Using Affine Combinations and Shifts.
ACM Trans. Evol. Learn. Optim.
Diederick Vermetten, Furong Ye, Thomas Bäck, Carola Doerr
2025 — conf
MO-IOHinspector: Anytime Benchmarking of Multi-objective Algorithms Using IOHprofiler.
EMO (1)
Diederick Vermetten, Jeroen Rook, Oliver Ludger Preuß, Jacob de Nobel, Carola Doerr, Manuel López-Ibáñez, Heike Trautmann, Thomas Bäck
2025 — conf
Stalling in Space: Attractor Analysis for Any Algorithm.
EvoApplications (2)
Sarah L. Thomson, Quentin Renau, Diederick Vermetten, Emma Hart, Niki van Stein, Anna V. Kononova
2025 B conf
Transfer Learning of Surrogate Models via Domain Affine Transformation Across Synthetic and Real-World Benchmarks.
CEC
Shuaiqun Pan, Diederick Vermetten, Manuel López-Ibáñez, Thomas Bäck, Hao Wang
2025 J jnl
Transfer Learning of Surrogate Models via Domain Affine Transformation Across Synthetic and Real-World Benchmarks.
CoRR
Shuaiqun Pan, Diederick Vermetten, Manuel López-Ibáñez, Thomas Bäck, Hao Wang
2025 — conf
Transfer Learning of Surrogate Models: Integrating Domain Warping and Affine Transformations.
GECCO Companion
Shuaiqun Pan, Diederick Vermetten, Manuel López-Ibáñez, Thomas Bäck, Hao Wang
2025 J jnl
Transfer Learning of Surrogate Models: Integrating Domain Warping and Affine Transformations.
CoRR
Shuaiqun Pan, Diederick Vermetten, Manuel López-Ibáñez, Thomas Bäck, Hao Wang
2025 J jnl
Using the Empirical Attainment Function for Analyzing Single-Objective Black-Box Optimization Algorithms.
IEEE Trans. Evol. Comput.
Manuel López-Ibáñez, Diederick Vermetten, Johann Dréo, Carola Doerr
2024 — conf
A Critical Analysis of Raven Roost Optimization.
GECCO Companion
Martijn Halsema, Diederick Vermetten, Thomas Bäck, Niki van Stein
2024 — conf
Avoiding Redundant Restarts in Multimodal Global Optimization.
PPSN (2)
Jacob de Nobel, Diederick Vermetten, Anna V. Kononova, Ofer M. Shir, Thomas Bäck
2024 J jnl
Avoiding Redundant Restarts in Multimodal Global Optimization.
CoRR
Jacob de Nobel, Diederick Vermetten, Anna V. Kononova, Ofer M. Shir, Thomas Bäck
2024 — conf
Benchmarking and Analyzing Iterative Optimization Heuristics with IOHprofiler.
GECCO Companion
Carola Doerr, Diederick Vermetten, Jacob de Nobel, Thomas Bäck
2024 — conf
Empirical Analysis of the Dynamic Binary Value Problem with IOHprofiler.
PPSN (2)
Diederick Vermetten, Johannes Lengler, Dimitri Rusin, Thomas Bäck, Carola Doerr
2024 J jnl
Empirical Analysis of the Dynamic Binary Value Problem with IOHprofiler.
CoRR
Diederick Vermetten, Johannes Lengler, Dimitri Rusin, Thomas Bäck, Carola Doerr
2024 J jnl
Explainable Benchmarking for Iterative Optimization Heuristics.
CoRR
Niki van Stein, Diederick Vermetten, Anna V. Kononova, Thomas Bäck
2024 J jnl
IOHexperimenter: Benchmarking Platform for Iterative Optimization Heuristics.
Evol. Comput.
Jacob de Nobel, Furong Ye, Diederick Vermetten, Hao Wang, Carola Doerr, Thomas Bäck
2024 C conf
Impact of Spatial Transformations on Exploratory and Deep-Learning Based Landscape Features of CEC2022 Benchmark Suite.
IJCCI
Haoran Yin, Diederick Vermetten, Furong Ye, Thomas H. W. Bäck, Anna V. Kononova
2024 A conf
Impact of Training Instance Selection on Automated Algorithm Selection Models for Numerical Black-box Optimization.
GECCO
Konstantin Dietrich, Diederick Vermetten, Carola Doerr, Pascal Kerschke
2024 J jnl
Impact of Training Instance Selection on Automated Algorithm Selection Models for Numerical Black-box Optimization.
CoRR
Konstantin Dietrich, Diederick Vermetten, Carola Doerr, Pascal Kerschke
2024 J jnl
Impact of spatial transformations on landscape features of CEC2022 basic benchmark problems.
CoRR
Haoran Yin, Diederick Vermetten, Furong Ye, Thomas H. W. Bäck, Anna V. Kononova
2024 J jnl
In-the-loop Hyper-Parameter Optimization for LLM-Based Automated Design of Heuristics.
CoRR
Niki van Stein, Diederick Vermetten, Thomas Bäck
2024 A conf
Large-Scale Benchmarking of Metaphor-Based Optimization Heuristics.
GECCO
Diederick Vermetten, Carola Doerr, Hao Wang, Anna V. Kononova, Thomas Bäck
2024 J jnl
Large-scale Benchmarking of Metaphor-based Optimization Heuristics.
CoRR
Diederick Vermetten, Carola Doerr, Hao Wang, Anna V. Kononova, Thomas Bäck
2024 J jnl
MO-IOHinspector: Anytime Benchmarking of Multi-Objective Algorithms using IOHprofiler.
CoRR
Diederick Vermetten, Jeroen Rook, Oliver Ludger Preuß, Jacob de Nobel, Carola Doerr, Manuel López-Ibáñez, Heike Trautmann, Thomas Bäck
2024 — conf
Optimizing Causal Interventions in Hybrid Bayesian Networks - A Discretization, Knowledge Compilation, and Heuristic Optimization Approach.
IPMU (1)
Maarten C. Vonk, Diederick Vermetten, Jacob de Nobel, Sebastiaan Brand, Ninoslav Malekovic, Thomas Bäck, Alfons Laarman, Anna V. Kononova
2024 B conf
Quantifying Individual and Joint Module Impact in Modular Optimization Frameworks.
CEC
Ana Nikolikj, Ana Kostovska, Diederick Vermetten, Carola Doerr, Tome Eftimov
2024 J jnl
Quantifying Individual and Joint Module Impact in Modular Optimization Frameworks.
CoRR
Ana Nikolikj, Ana Kostovska, Diederick Vermetten, Carola Doerr, Tome Eftimov
2024 C conf
Sampling in CMA-ES: Low Numbers of Low Discrepancy Points.
IJCCI
Jacob de Nobel, Diederick Vermetten, Thomas H. W. Bäck, Anna V. Kononova
2024 J jnl
Sampling in CMA-ES: Low Numbers of Low Discrepancy Points.
CoRR
Jacob de Nobel, Diederick Vermetten, Thomas H. W. Bäck, Anna V. Kononova
2024 J jnl
Stalling in Space: Attractor Analysis for any Algorithm.
CoRR
Sarah L. Thomson, Quentin Renau, Diederick Vermetten, Emma Hart, Niki van Stein, Anna V. Kononova
2024 J jnl
The Importance of Being Constrained: Dealing with Infeasible Solutions in Differential Evolution and Beyond.
Evol. Comput.
Anna V. Kononova, Diederick Vermetten, Fabio Caraffini, Madalina-Andreea Mitran, Daniela Zaharie
2024 A conf
Transfer Learning of Surrogate Models via Domain Affine Transformation.
GECCO
Shuaiqun Pan, Diederick Vermetten, Manuel López-Ibáñez, Thomas Bäck, Hao Wang
2024 J jnl
Using the Empirical Attainment Function for Analyzing Single-objective Black-box Optimization Algorithms.
CoRR
Manuel López-Ibáñez, Diederick Vermetten, Johann Dréo, Carola Doerr
2023 — conf
Analysis of modular CMA-ES on strict box-constrained problems in the SBOX-COST benchmarking suite.
GECCO Companion
Diederick Vermetten, Manuel López-Ibáñez, Olaf Mersmann, Richard Allmendinger, Anna V. Kononova
2023 J jnl
Analysis of modular CMA-ES on strict box-constrained problems in the SBOX-COST benchmarking suite.
CoRR
Diederick Vermetten, Manuel López-Ibáñez, Olaf Mersmann, Richard Allmendinger, Anna V. Kononova
2023 — conf
Assessing the Generalizability of a Performance Predictive Model.
GECCO Companion
Ana Nikolikj, Gjorgjina Cenikj, Gordana Ispirova, Diederick Vermetten, Ryan Dieter Lang, Andries Petrus Engelbrecht, Carola Doerr, Peter Korosec, Tome Eftimov
2023 J jnl
Assessing the Generalizability of a Performance Predictive Model.
CoRR
Ana Nikolikj, Gjorgjina Cenikj, Gordana Ispirova, Diederick Vermetten, Ryan Dieter Lang, Andries Petrus Engelbrecht, Carola Doerr, Peter Korosec, Tome Eftimov
2023 — conf
BBOB Instance Analysis: Landscape Properties and Algorithm Performance Across Problem Instances.
EvoApplications@EvoStar
Fu Xing Long, Diederick Vermetten, Bas van Stein, Anna V. Kononova
2023 B conf
Benchmarking Algorithms for Submodular Optimization Problems Using IOHProfiler.
CEC
Frank Neumann, Aneta Neumann, Chao Qian, Anh Viet Do, Jacob de Nobel, Diederick Vermetten, Saba Sadeghi Ahouei, Furong Ye, Hao Wang, Thomas Bäck
2023 J jnl
Benchmarking Algorithms for Submodular Optimization Problems Using IOHProfiler.
CoRR
Frank Neumann, Aneta Neumann, Chao Qian, Anh Viet Do, Jacob de Nobel, Diederick Vermetten, Saba Sadeghi Ahouei, Furong Ye, Hao Wang, Thomas Bäck
2023 — conf
Benchmarking and analyzing iterative optimization heuristics with IOHprofiler.
GECCO Companion
Carola Doerr, Hao Wang, Diederick Vermetten, Thomas Bäck, Jacob de Nobel, Furong Ye
2023 C conf
Challenges of ELA-Guided Function Evolution Using Genetic Programming.
IJCCI
Fu Xing Long, Diederick Vermetten, Anna V. Kononova, Roman Kalkreuth, Kaifeng Yang, Thomas Bäck, Niki van Stein
2023 J jnl
Challenges of ELA-guided Function Evolution using Genetic Programming.
CoRR
Fu Xing Long, Diederick Vermetten, Anna V. Kononova, Roman Kalkreuth, Kaifeng Yang, Thomas Bäck, Niki van Stein
2023 — conf
Comparing Algorithm Selection Approaches on Black-Box Optimization Problems.
GECCO Companion
Ana Kostovska, Anja Jankovic, Diederick Vermetten, Saso Dzeroski, Tome Eftimov, Carola Doerr
2023 J jnl
Comparing Algorithm Selection Approaches on Black-Box Optimization Problems.
CoRR
Ana Kostovska, Anja Jankovic, Diederick Vermetten, Saso Dzeroski, Tome Eftimov, Carola Doerr
2023 A conf
Computing Star Discrepancies with Numerical Black-Box Optimization Algorithms.
GECCO
François Clément, Diederick Vermetten, Jacob de Nobel, Alexandre D. Jesus, Luís Paquete, Carola Doerr
2023 J jnl
Computing Star Discrepancies with Numerical Black-Box Optimization Algorithms.
CoRR
François Clément, Diederick Vermetten, Jacob de Nobel, Alexandre D. Jesus, Luís Paquete, Carola Doerr
2023 — conf
Deep BIAS: Detecting Structural Bias using Explainable AI.
GECCO Companion
Bas van Stein, Diederick Vermetten, Fabio Caraffini, Anna V. Kononova
2023 J jnl
Deep-BIAS: Detecting Structural Bias using Explainable AI.
CoRR
Bas van Stein, Diederick Vermetten, Fabio Caraffini, Anna V. Kononova
2023 J jnl
Evolutionary Algorithms for Parameter Optimization - Thirty Years Later.
Evol. Comput.
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
2023 A conf
General Boolean Function Benchmark Suite.
FOGA
Roman Kalkreuth, Zdenek Vasícek, Jakub Husa, Diederick Vermetten, Furong Ye, Thomas Bäck
2023 J jnl
MA-BBOB: A Problem Generator for Black-Box Optimization Using Affine Combinations and Shifts.
CoRR
Diederick Vermetten, Furong Ye, Thomas Bäck, Carola Doerr
2023 — conf
MA-BBOB: Many-Affine Combinations of BBOB Functions for Evaluating AutoML Approaches in Noiseless Numerical Black-Box Optimization Contexts.
AutoML
Diederick Vermetten, Furong Ye, Thomas Bäck, Carola Doerr
2023 J jnl
MA-BBOB: Many-Affine Combinations of BBOB Functions for Evaluating AutoML Approaches in Noiseless Numerical Black-Box Optimization Contexts.
CoRR
Diederick Vermetten, Furong Ye, Thomas Bäck, Carola Doerr
2023 A conf
Modular Differential Evolution.
GECCO
Diederick Vermetten, Fabio Caraffini, Anna V. Kononova, Thomas Bäck
2023 J jnl
Modular Differential Evolution.
CoRR
Diederick Vermetten, Fabio Caraffini, Anna V. Kononova, Thomas Bäck
2023 J jnl
OPTION: OPTImization Algorithm Benchmarking ONtology.
IEEE Trans. Evol. Comput.
Ana Kostovska, Diederick Vermetten, Carola Doerr, Saso Dzeroski, Pance Panov, Tome Eftimov
2023 — conf
PS-AAS: Portfolio Selection for Automated Algorithm Selection in Black-Box Optimization.
AutoML
Ana Kostovska, Gjorgjina Cenikj, Diederick Vermetten, Anja Jankovic, Ana Nikolikj, Urban Skvorc, Peter Korosec, Carola Doerr, Tome Eftimov
2023 J jnl
PS-AAS: Portfolio Selection for Automated Algorithm Selection in Black-Box Optimization.
CoRR
Ana Kostovska, Gjorgjina Cenikj, Diederick Vermetten, Anja Jankovic, Ana Nikolikj, Urban Skvorc, Peter Korosec, Carola Doerr, Tome Eftimov
2023 J jnl
Synergizing Theory and Practice of Automated Algorithm Design for Optimization (Dagstuhl Seminar 23332).
Dagstuhl Reports
Diederick Vermetten, Martin S. Krejca, Marius Lindauer, Manuel López-Ibáñez, Katherine M. Malan
2023 — conf
To Switch or Not to Switch: Predicting the Benefit of Switching Between Algorithms Based on Trajectory Features.
EvoApplications@EvoStar
Diederick Vermetten, Hao Wang, Kevin Sim, Emma Hart
2023 J jnl
To Switch or not to Switch: Predicting the Benefit of Switching between Algorithms based on Trajectory Features.
CoRR
Diederick Vermetten, Hao Wang, Kevin Sim, Emma Hart
2023 — conf
Towards a General Boolean Function Benchmark Suite.
GECCO Companion
Roman Kalkreuth, Zdenek Vasícek, Jakub Husa, Diederick Vermetten, Furong Ye, Thomas Bäck
2023 A conf
Using Affine Combinations of BBOB Problems for Performance Assessment.
GECCO
Diederick Vermetten, Furong Ye, Carola Doerr
2023 J jnl
Using Affine Combinations of BBOB Problems for Performance Assessment.
CoRR
Diederick Vermetten, Furong Ye, Carola Doerr
2023 — conf
Using Knowledge Graphs for Performance Prediction of Modular Optimization Algorithms.
EvoApplications@EvoStar
Ana Kostovska, Diederick Vermetten, Saso Dzeroski, Pance Panov, Tome Eftimov, Carola Doerr
2023 J jnl
Using Knowledge Graphs for Performance Prediction of Modular Optimization Algorithms.
CoRR
Ana Kostovska, Diederick Vermetten, Saso Dzeroski, Pance Panov, Tome Eftimov, Carola Doerr
2023 A conf
When to be Discrete: Analyzing Algorithm Performance on Discretized Continuous Problems.
GECCO
André Thomaser, Jacob de Nobel, Diederick Vermetten, Furong Ye, Thomas Bäck, Anna V. Kononova
2023 J jnl
When to be Discrete: Analyzing Algorithm Performance on Discretized Continuous Problems.
CoRR
André Thomaser, Jacob de Nobel, Diederick Vermetten, Furong Ye, Thomas Bäck, Anna V. Kononova
2022 J jnl
Analyzing the Impact of Undersampling on the Benchmarking and Configuration of Evolutionary Algorithms.
CoRR
Diederick Vermetten, Hao Wang, Manuel López-Ibáñez, Carola Doerr, Thomas Bäck
2022 A conf
Analyzing the impact of undersampling on the benchmarking and configuration of evolutionary algorithms.
GECCO
Diederick Vermetten, Hao Wang, Manuel López-Ibáñez, Carola Doerr, Thomas Bäck
2022 J jnl
BBOB Instance Analysis: Landscape Properties and Algorithm Performance across Problem Instances.
CoRR
Fu Xing Long, Diederick Vermetten, Bas van Stein, Anna V. Kononova
2022 J jnl
BIAS: A Toolbox for Benchmarking Structural Bias in the Continuous Domain.
IEEE Trans. Evol. Comput.
Diederick Vermetten, Bas van Stein, Fabio Caraffini, Leandro L. Minku, Anna V. Kononova
2022 — conf
Benchmarking and analyzing iterative optimization heuristics with IOH profiler.
GECCO Companion
Carola Doerr, Hao Wang, Diederick Vermetten, Thomas Bäck, Jacob de Nobel, Furong Ye
2022 J jnl
Chaining of Numerical Black-box Algorithms: Warm-Starting and Switching Points.
CoRR
Dominik Schröder, Diederick Vermetten, Hao Wang, Carola Doerr, Thomas Bäck
2022 J jnl
IOHanalyzer: Detailed Performance Analyses for Iterative Optimization Heuristics.
ACM Trans. Evol. Learn. Optim.
Hao Wang, Diederick Vermetten, Furong Ye, Carola Doerr, Thomas Bäck
2022 — conf
IOHanalyzer: Detailed performance analyses for iterative optimization heuristics: hot-off-the-press track @ GECCO 2022.
GECCO Companion
Hao Wang, Diederick Vermetten, Furong Ye, Carola Doerr, Thomas Bäck
2022 — conf
Non-elitist Selection Can Improve the Performance of Irace.
PPSN (1)
Furong Ye, Diederick Vermetten, Carola Doerr, Thomas Bäck
2022 J jnl
OPTION: OPTImization Algorithm Benchmarking ONtology.
CoRR
Ana Kostovska, Diederick Vermetten, Carola Doerr, Saso Dzeroski, Pance Panov, Tome Eftimov
2022 — conf
Per-run Algorithm Selection with Warm-Starting Using Trajectory-Based Features.
PPSN (1)
Ana Kostovska, Anja Jankovic, Diederick Vermetten, Jacob de Nobel, Hao Wang, Tome Eftimov, Carola Doerr
2022 J jnl
Per-run Algorithm Selection with Warm-starting using Trajectory-based Features.
CoRR
Ana Kostovska, Anja Jankovic, Diederick Vermetten, Jacob de Nobel, Hao Wang, Tome Eftimov, Carola Doerr
2022 J jnl
The Importance of Landscape Features for Performance Prediction of Modular CMA-ES Variants.
CoRR
Ana Kostovska, Diederick Vermetten, Saso Dzeroski, Carola Doerr, Peter Korosec, Tome Eftimov
2022 J jnl
The importance of being constrained: dealing with infeasible solutions in Differential Evolution and beyond.
CoRR
Anna V. Kononova, Diederick Vermetten, Fabio Caraffini, Madalina-Andreea Mitran, Daniela Zaharie
2022 A conf
The importance of landscape features for performance prediction of modular CMA-ES variants.
GECCO
Ana Kostovska, Diederick Vermetten, Saso Dzeroski, Carola Doerr, Peter Korosec, Tome Eftimov
2022 B conf
Trajectory-based Algorithm Selection with Warm-starting.
CEC
Anja Jankovic, Diederick Vermetten, Ana Kostovska, Jacob de Nobel, Tome Eftimov, Carola Doerr
2022 J jnl
Trajectory-based Algorithm Selection with Warm-starting.
CoRR
Anja Jankovic, Diederick Vermetten, Ana Kostovska, Jacob de Nobel, Tome Eftimov, Carola Doerr
2022 — conf
Using structural bias to analyse the behaviour of modular CMA-ES.
GECCO Companion
Diederick Vermetten, Fabio Caraffini, Bas van Stein, Anna V. Kononova
2021 J jnl
Benchmarking the Status of Default Pseudorandom Number Generators in Common Programming Languages.
CoRR
Nils van den Honert, Diederick Vermetten, Anna V. Kononova
2021 J jnl
IOHexperimenter: Benchmarking Platform for Iterative Optimization Heuristics.
CoRR
Jacob de Nobel, Furong Ye, Diederick Vermetten, Hao Wang, Carola Doerr, Thomas Bäck
2021 J jnl
Is there Anisotropy in Structural Bias?
CoRR
Diederick Vermetten, Anna V. Kononova, Fabio Caraffini, Hao Wang, Thomas Bäck
2021 — conf
Is there anisotropy in structural bias?
GECCO Companion
Diederick Vermetten, Anna V. Kononova, Fabio Caraffini, Hao Wang, Thomas Bäck
2021 J jnl
OPTION: OPTImization Algorithm Benchmarking ONtology.
CoRR
Ana Kostovska, Diederick Vermetten, Carola Doerr, Saso Dzeroski, Pance Panov, Tome Eftimov
2021 — conf
OPTION: optimization algorithm benchmarking ontology.
GECCO Companion
Ana Kostovska, Diederick Vermetten, Carola Doerr, Saso Dzeroski, Pance Panov, Tome Eftimov
2021 J jnl
Tuning as a Means of Assessing the Benefits of New Ideas in Interplay with Existing Algorithmic Modules.
CoRR
Jacob de Nobel, Diederick Vermetten, Hao Wang, Carola Doerr, Thomas Bäck
2021 — conf
Tuning as a means of assessing the benefits of new ideas in interplay with existing algorithmic modules.
GECCO Companion
Jacob de Nobel, Diederick Vermetten, Hao Wang, Carola Doerr, Thomas Bäck
2020 J jnl
IOHanalyzer: Performance Analysis for Iterative Optimization Heuristic.
CoRR
Hao Wang, Diederick Vermetten, Furong Ye, Carola Doerr, Thomas Bäck
2020 A conf
Integrated vs. sequential approaches for selecting and tuning CMA-ES variants.
GECCO
Diederick Vermetten, Hao Wang, Carola Doerr, Thomas Bäck
2020 J jnl
Squirrel: A Switching Hyperparameter Optimizer.
CoRR
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
2020 J jnl
Towards Dynamic Algorithm Selection for Numerical Black-Box Optimization: Investigating BBOB as a Use Case.
CoRR
Diederick Vermetten, Hao Wang, Carola Doerr, Thomas Bäck
2020 A conf
Towards dynamic algorithm selection for numerical black-box optimization: investigating BBOB as a use case.
GECCO
Diederick Vermetten, Hao Wang, Thomas Bäck, Carola Doerr
2019 J jnl
Online Selection of CMA-ES Variants.
CoRR
Diederick Vermetten, Sander van Rijn, Thomas Bäck, Carola Doerr
2019 A conf
Online selection of CMA-ES variants.
GECCO
Diederick Vermetten, Sander van Rijn, Thomas Bäck, Carola Doerr
2019 J jnl
Sequential vs. Integrated Algorithm Selection and Configuration: A Case Study for the Modular CMA-ES.
CoRR
Diederick Vermetten, Hao Wang, Carola Doerr, Thomas Bäck