| 2026 | GECCO | When Switching Algorithms Helps: A Theoretical Study of Online Algorithm Selection. | Denis Antipov, Carola Doerr |
| 2026 | GECCO | Similarity-based Portfolio Construction for Black-box Optimization. | Catalin-Viorel Dinu, Diederick Vermetten, Carola Doerr |
| 2026 | PPSN | Generating Point Sets of Low Star Discrepancy by Optimizing Kronecker Constructions. | Imne Ait Abderrahim, Carola Doerr, Martin Durand |
| 2025 | EMO | MO-IOHinspector: Anytime Benchmarking of Multi-objective Algorithms Using IOHprofiler. | Diederick Vermetten, Jeroen Rook, Oliver Ludger Preu, Jacob de Nobel, Carola Doerr, Manuel Lpez-Ibez, Heike Trautmann, Thomas Bck |
| 2025 | FOGA | Multi-parameter Control for the (1+(λ, λ))-GA on OneMax via Deep Reinforcement Learning. | Tai Nguyen, Phong Le, Carola Doerr, Nguyen Dang |
| 2025 | FOGA | Enhancing Parameter Control Policies with State Information. | Gianluca Covini, Denis Antipov, Carola Doerr |
| 2025 | GECCO | Analyzing Single-objective Black-box Optimization Algorithms Using the Empirical Attainment Function. | Manuel Lpez-Ibez, Diederick Vermetten, Johann Dro, Carola Doerr |
| 2025 | GECCO | On the Importance of Reward Design in Reinforcement Learning-based Dynamic Algorithm Configuration: A Case Study on OneMax with (1+(λ, λ))-GA. | Tai Nguyen, Phong Le, Andr Biedenkapp, Carola Doerr, Nguyen Dang |
| 2025 | GECCO | Benchmarking single- and multi-objective optimization algorithms: how to make your experimental data more valuable. | Carola Doerr, Diederick Vermetten, Jacob de Nobel, Thomas Bck |
| 2025 | GECCO | Geometric Learning in Black-Box Optimization: A GNN Framework for Algorithm Performance Prediction. | Ana Kostovska, Carola Doerr, Saso Dzeroski, Pance Panov, Tome Eftimov |
| 2025 | GECCO | Cascading CMA-ES Instances for Generating Input-diverse Solution Batches. | Maria Laura Santoni, Christoph Drr, Carola Doerr, Mike Preuss, Elena Raponi |
| 2024 | CEC | Generalization Ability of Feature-Based Performance Prediction Models: A Statistical Analysis Across Benchmarks. | Ana Nikolikj, Ana Kostovska, Gjorgjina Cenikj, Carola Doerr, Tome Eftimov |
| 2024 | CEC | Quantifying Individual and Joint Module Impact in Modular Optimization Frameworks. | Ana Nikolikj, Ana Kostovska, Diederick Vermetten, Carola Doerr, Tome Eftimov |
| 2024 | GECCO | Impact of Training Instance Selection on Automated Algorithm Selection Models for Numerical Black-box Optimization. | Konstantin Dietrich, Diederick Vermetten, Carola Doerr, Pascal Kerschke |
| 2024 | GECCO | Benchmarking and Analyzing Iterative Optimization Heuristics with IOHprofiler. | Carola Doerr, Diederick Vermetten, Jacob de Nobel, Thomas Bck |
| 2024 | GECCO | Large-Scale Benchmarking of Metaphor-Based Optimization Heuristics. | Diederick Vermetten, Carola Doerr, Hao Wang, Anna V. Kononova, Thomas Bck |
| 2024 | PPSN | Hybridizing Target- and SHAP-Encoded Features for Algorithm Selection in Mixed-Variable Black-Box Optimization. | Konstantin Dietrich, Raphael Patrick Prager, Carola Doerr, Heike Trautmann |
| 2024 | PPSN | Learned Features vs. Classical ELA on Affine BBOB Functions. | Moritz Seiler, Urban Skvorc, Gjorgjina Cenikj, Carola Doerr, Heike Trautmann |
| 2024 | PPSN | Empirical Analysis of the Dynamic Binary Value Problem with IOHprofiler. | Diederick Vermetten, Johannes Lengler, Dimitri Rusin, Thomas Bck, Carola Doerr |
| 2023 | CEC | Sensitivity Analysis of RF+clust for Leave-One-Problem-Out Performance Prediction. | Ana Nikolikj, Michal Pluhacek, Carola Doerr, Peter Korosec, Tome Eftimov |
| 2023 | FOGA | Using Automated Algorithm Configuration for Parameter Control. | Deyao Chen, Maxim Buzdalov, Carola Doerr, Nguyen Dang |
| 2023 | FOGA | Bridging Theory and Practice in Evolutionary Computation? | Carola Doerr |
| 2023 | GECCO | Towards Self-Adjusting Weighted Expected Improvement for Bayesian Optimization. | Carolin Benjamins, Elena Raponi, Anja Jankovic, Carola Doerr, Marius Lindauer |
| 2023 | GECCO | DynamoRep: Trajectory-Based Population Dynamics for Classification of Black-box Optimization Problems. | Gjorgjina Cenikj, Gasper Petelin, Carola Doerr, Peter Korosec, Tome Eftimov |
| 2023 | GECCO | Computing Star Discrepancies with Numerical Black-Box Optimization Algorithms. | Franois Clment, Diederick Vermetten, Jacob de Nobel, Alexandre D. Jesus, Lus Paquete, Carola Doerr |
| 2023 | GECCO | Tight Runtime Bounds for Static Unary Unbiased Evolutionary Algorithms on Linear Functions. | Carola Doerr, Duri Andrea Janett, Johannes Lengler |
| 2023 | GECCO | Benchmarking and analyzing iterative optimization heuristics with IOHprofiler. | Carola Doerr, Hao Wang, Diederick Vermetten, Thomas Bck, Jacob de Nobel, Furong Ye |
| 2023 | GECCO | Comparing Algorithm Selection Approaches on Black-Box Optimization Problems. | Ana Kostovska, Anja Jankovic, Diederick Vermetten, Saso Dzeroski, Tome Eftimov, Carola Doerr |
| 2023 | GECCO | Assessing the Generalizability of a Performance Predictive Model. | Ana Nikolikj, Gjorgjina Cenikj, Gordana Ispirova, Diederick Vermetten, Ryan Dieter Lang, Andries Petrus Engelbrecht, Carola Doerr, Peter Korosec, Tome Eftimov |
| 2023 | GECCO | Algorithm Instance Footprint: Separating Easily Solvable and Challenging Problem Instances. | Ana Nikolikj, Saso Dzeroski, Mario Andrs Muoz, Carola Doerr, Peter Korosec, Tome Eftimov |
| 2023 | GECCO | Comparison of Bayesian Optimization Algorithms for BBOB Problems in Dimensions 10 and 60. | Maria Laura Santoni, Elena Raponi, Renato De Leone, Carola Doerr |
| 2023 | GECCO | Using Affine Combinations of BBOB Problems for Performance Assessment. | Diederick Vermetten, Furong Ye, Carola Doerr |
| 2022 | CEC | Fast Re-Optimization of LeadingOnes with Frequent Changes. | Nina Bulanova, Arina Buzdalova, Carola Doerr |
| 2022 | CEC | Trajectory-based Algorithm Selection with Warm-starting. | Anja Jankovic, Diederick Vermetten, Ana Kostovska, Jacob de Nobel, Tome Eftimov, Carola Doerr |
| 2022 | GECCO | Theory-inspired parameter control benchmarks for dynamic algorithm configuration. | Andr Biedenkapp, Nguyen Dang, Martin S. Krejca, Frank Hutter, Carola Doerr |
| 2022 | GECCO | SELECTOR: selecting a representative benchmark suite for reproducible statistical comparison. | Gjorgjina Cenikj, Ryan Dieter Lang, Andries Petrus Engelbrecht, Carola Doerr, Peter Korosec, Tome Eftimov |
| 2022 | GECCO | Benchmarking and analyzing iterative optimization heuristics with IOH profiler. | Carola Doerr, Hao Wang, Diederick Vermetten, Thomas Bck, Jacob de Nobel, Furong Ye |
| 2022 | GECCO | The importance of landscape features for performance prediction of modular CMA-ES variants. | Ana Kostovska, Diederick Vermetten, Saso Dzeroski, Carola Doerr, Peter Korosec, Tome Eftimov |
| 2022 | GECCO | Automated algorithm selection for radar network configuration. | Quentin Renau, Johann Dro, Alain Peres, Yann Semet, Carola Doerr, Benjamin Doerr |
| 2022 | GECCO | Analyzing the impact of undersampling on the benchmarking and configuration of evolutionary algorithms. | Diederick Vermetten, Hao Wang, Manuel Lpez-Ibez, Carola Doerr, Thomas Bck |
| 2022 | GECCO | IOHanalyzer: Detailed performance analyses for iterative optimization heuristics: hot-off-the-press track @ GECCO 2022. | Hao Wang, Diederick Vermetten, Furong Ye, Carola Doerr, Thomas Bck |
| 2022 | GECCO | Automated configuration of genetic algorithms by tuning for anytime performance: hot-off-the-press track at GECCCO 2022. | Furong Ye, Carola Doerr, Hao Wang, Thomas Bck |
| 2022 | PPSN | High Dimensional Bayesian Optimization with Kernel Principal Component Analysis. | Kirill A. Antonov, Elena Raponi, Hao Wang, Carola Doerr |
| 2022 | PPSN | Per-run Algorithm Selection with Warm-Starting Using Trajectory-Based Features. | Ana Kostovska, Anja Jankovic, Diederick Vermetten, Jacob de Nobel, Hao Wang, Tome Eftimov, Carola Doerr |
| 2022 | PPSN | Improving Nevergrad's Algorithm Selection Wizard NGOpt Through Automated Algorithm Configuration. | Risto Trajanov, Ana Nikolikj, Gjorgjina Cenikj, Fabien Teytaud, Mathurin Videau, Olivier Teytaud, Tome Eftimov, Manuel Lpez-Ibez, Carola Doerr |
| 2022 | PPSN | Non-elitist Selection Can Improve the Performance of Irace. | Furong Ye, Diederick Vermetten, Carola Doerr, Thomas Bck |
| 2021 | CEC | Blending Dynamic Programming with Monte Carlo Simulation for Bounding the Running Time of Evolutionary Algorithms. | Kirill Antonov, Maxim Buzdalov, Arina Buzdalova, Carola Doerr |
| 2021 | GECCO | Towards large scale automated algorithm design by integrating modular benchmarking frameworks. | Amine Aziz-Alaoui, Carola Doerr, Johann Dro |
| 2021 | GECCO | Optimal static mutation strength distributions for the (1 | Maxim Buzdalov, Carola Doerr |
| 2021 | GECCO | Personalizing performance regression models to black-box optimization problems. | Tome Eftimov, Anja Jankovic, Gorjan Popovski, Carola Doerr, Peter Korosec |
| 2021 | GECCO | The impact of hyper-parameter tuning for landscape-aware performance regression and algorithm selection. | Anja Jankovic, Gorjan Popovski, Tome Eftimov, Carola Doerr |
| 2021 | GECCO | OPTION: optimization algorithm benchmarking ontology. | Ana Kostovska, Diederick Vermetten, Carola Doerr, Saso Dzeroski, Pance Panov, Tome Eftimov |
| 2021 | GECCO | Tuning as a means of assessing the benefits of new ideas in interplay with existing algorithmic modules. | Jacob de Nobel, Diederick Vermetten, Hao Wang, Carola Doerr, Thomas Bck |
| 2021 | GECCO | Leveraging benchmarking data for informed one-shot dynamic algorithm selection. | Furong Ye, Carola Doerr, Thomas Bck |
| 2020 | AAAI | Optimization of Chance-Constrained Submodular Functions. | Benjamin Doerr, Carola Doerr, Aneta Neumann, Frank Neumann, Andrew M. Sutton |
| 2020 | GECCO | Initial design strategies and their effects on sequential model-based optimization: an exploratory case study based on BBOB. | Jakob Bossek, Carola Doerr, Pascal Kerschke |
| 2020 | GECCO | Fixed-target runtime analysis. | Maxim Buzdalov, Benjamin Doerr, Carola Doerr, Dmitry Vinokurov |
| 2020 | GECCO | Landscape-aware fixed-budget performance regression and algorithm selection for modular CMA-ES variants. | Anja Jankovic, Carola Doerr |
| 2020 | GECCO | Dynamic control parameter choices in evolutionary computation: GECCO 2020 tutorial. | Gregor Papa, Carola Doerr |
| 2020 | GECCO | Towards dynamic algorithm selection for numerical black-box optimization: investigating BBOB as a use case. | Diederick Vermetten, Hao Wang, Thomas Bck, Carola Doerr |
| 2020 | GECCO | Integrated vs. sequential approaches for selecting and tuning CMA-ES variants. | Diederick Vermetten, Hao Wang, Carola Doerr, Thomas Bck |
| 2020 | GECCO | Benchmarking and analyzing iterative optimization heuristics with IOHprofiler. | Hao Wang, Carola Doerr, Ofer M. Shir, Thomas Bck |
| 2020 | PPSN | Evolving Sampling Strategies for One-Shot Optimization Tasks. | Jakob Bossek, Carola Doerr, Pascal Kerschke, Aneta Neumann, Frank Neumann |
| 2020 | PPSN | Hybridizing the 1/5-th Success Rule with Q-Learning for Controlling the Mutation Rate of an Evolutionary Algorithm. | Arina Buzdalova, Carola Doerr, Anna Rodionova |
| 2020 | PPSN | Optimal Mutation Rates for the (1+λ ) EA on OneMax. | Maxim Buzdalov, Carola Doerr |
| 2020 | PPSN | Variance Reduction for Better Sampling in Continuous Domains. | Laurent Meunier, Carola Doerr, Jrmy Rapin, Olivier Teytaud |
| 2020 | PPSN | High Dimensional Bayesian Optimization Assisted by Principal Component Analysis. | Elena Raponi, Hao Wang, Mariusz Bujny, Simonetta Boria, Carola Doerr |
| 2020 | PPSN | Exploratory Landscape Analysis is Strongly Sensitive to the Sampling Strategy. | Quentin Renau, Carola Doerr, Johann Dro, Benjamin Doerr |
| 2020 | PPSN | Benchmarking a (μ +λ ) Genetic Algorithm with Configurable Crossover Probability. | Furong Ye, Hao Wang, Carola Doerr, Thomas Bck |
| 2019 | CEC | Interpolating Local and Global Search by Controlling the Variance of Standard Bit Mutation. | Furong Ye, Carola Doerr, Thomas Bck |
| 2019 | GECCO | Maximizing drift is not optimal for solving OneMax. | Nathan Buskulic, Carola Doerr |
| 2019 | GECCO | Bayesian performance analysis for black-box optimization benchmarking. | Borja Calvo, Ofer M. Shir, Josu Ceberio, Carola Doerr, Hao Wang, Thomas Bck, Jos Antonio Lozano |
| 2019 | GECCO | Hyper-parameter tuning for the (1 + ( | Nguyen Dang, Carola Doerr |
| 2019 | GECCO | Dynamic parameter choices in evolutionary computation. | Carola Doerr |
| 2019 | GECCO | Fast re-optimization via structural diversity. | Benjamin Doerr, Carola Doerr, Frank Neumann |
| 2019 | GECCO | Making a case for (Hyper-)parameter tuning as benchmark problems. | Carola Doerr, Johann Dro, Pascal Kerschke |
| 2019 | GECCO | Self-adjusting mutation rates with provably optimal success rules. | Benjamin Doerr, Carola Doerr, Johannes Lengler |
| 2019 | GECCO | Benchmarking discrete optimization heuristics with IOHprofiler. | Carola Doerr, Furong Ye, Naama Horesh, Hao Wang, Ofer M. Shir, Thomas Bck |
| 2019 | GECCO | Coupling the design of benchmark with algorithm in landscape-aware solver design. | Johann Dro, Carola Doerr, Yann Semet |
| 2019 | GECCO | Illustrating the trade-off between time, quality, and success probability in heuristic search: a discussion paper. | Ivan Ignashov, Arina Buzdalova, Maxim Buzdalov, Carola Doerr |
| 2019 | GECCO | Adaptive landscape analysis. | Anja Jankovic, Carola Doerr |
| 2019 | GECCO | Expressiveness and robustness of landscape features. | Quentin Renau, Johann Dro, Carola Doerr, Benjamin Doerr |
| 2019 | GECCO | Offspring population size matters when comparing evolutionary algorithms with self-adjusting mutation rates. | Anna Rodionova, Kirill Antonov, Arina Buzdalova, Carola Doerr |
| 2019 | GECCO | Online selection of CMA-ES variants. | Diederick Vermetten, Sander van Rijn, Thomas Bck, Carola Doerr |
| 2019 | GECCO | Fixed-target runtime analysis of the (1 + 1) EA with resampling. | Dmitry Vinokurov, Maxim Buzdalov, Arina Buzdalova, Benjamin Doerr, Carola Doerr |
| 2018 | GECCO | Simple on-the-fly parameter selection mechanisms for two classical discrete black-box optimization benchmark problems. | Carola Doerr, Markus Wagner |
| 2018 | GECCO | Dynamic parameter choices in evolutionary computation. | Carola Doerr |
| 2018 | GECCO | Towards a theory-guided benchmarking suite for discrete black-box optimization heuristics: profiling (1 + λ) EA variants on onemax and leadingones. | Carola Doerr, Furong Ye, Sander van Rijn, Hao Wang, Thomas Bck |
| 2018 | GECCO | Discrepancy-based evolutionary diversity optimization. | Aneta Neumann, Wanru Gao, Carola Doerr, Frank Neumann, Markus Wagner |
| 2018 | GECCO | Compiling a benchmarking test-suite for combinatorial black-box optimization: a position paper. | Ofer M. Shir, Carola Doerr, Thomas Bck |
| 2018 | PPSN | Sensitivity of Parameter Control Mechanisms with Respect to Their Initialization. | Carola Doerr, Markus Wagner |
| 2018 | PPSN | Tutorials at PPSN 2018. | Gisele Lobo Pappa, Michael T. M. Emmerich, Ana L. C. Bazzan, Will N. Browne, Kalyanmoy Deb, Carola Doerr, Marko Durasevic, Michael G. Epitropakis, Saemundur O. Haraldsson, Domagoj Jakobovic, Pascal Kerschke, Krzysztof Krawiec, Per Kristian Lehre, Xiaodong Li, Andrei Lissovoi, Pekka Malo, Luis Mart, Yi Mei, Juan Julin Merelo Guervs, Julian F. Miller, Alberto Moraglio, Antonio J. Nebro, Su Nguyen, Gabriela Ochoa, Pietro S. Oliveto, Stjepan Picek, Nelishia Pillay, Mike Preuss, Marc Schoenauer, Roman Senkerik, Ankur Sinha, Ofer M. Shir, Dirk Sudholt, L. Darrell Whitley, Mark Wineberg, John R. Woodward, Mengjie Zhang |
| 2018 | PPSN | A Simple Proof for the Usefulness of Crossover in Black-Box Optimization. | Eduardo Carvalho Pinto, Carola Doerr |
| 2018 | PPSN | Towards an Adaptive CMA-ES Configurator. | Sander van Rijn, Carola Doerr, Thomas Bck |
| 2017 | GECCO | Non-static parameter choices in evolutionary computation. | Carola Doerr |
| 2017 | GECCO | Unknown solution length problems with no asymptotically optimal run time. | Benjamin Doerr, Carola Doerr, Timo Ktzing |
| 2016 | GECCO | Theory for Non-Theoreticians. | Benjamin Doerr, Carola Doerr |
| 2016 | GECCO | The Right Mutation Strength for Multi-Valued Decision Variables. | Benjamin Doerr, Carola Doerr, Timo Ktzing |
| 2016 | GECCO | Optimal Parameter Choices via Precise Black-Box Analysis. | Benjamin Doerr, Carola Doerr, Jing Yang |
| 2016 | GECCO | Women@GECCO 2016 Chairs' Welcome. | Carola Doerr, Julia Handl, Emma Hart, Gabriela Ochoa, Amarda Shehu, Tea Tusar, Anya E. Vostinar, Christine Zarges, Nur Zincir-Heywood |
| 2016 | GECCO | The (1+1) Elitist Black-Box Complexity of LeadingOnes. | Carola Doerr, Johannes Lengler |
| 2016 | PPSN | Tutorials at PPSN 2016. | Carola Doerr, Nicolas Bredche, Enrique Alba, Thomas Bartz-Beielstein, Dimo Brockhoff, Benjamin Doerr, Gusz Eiben, Michael G. Epitropakis, Carlos M. Fonseca, Andreia P. Guerreiro, Evert Haasdijk, Jacqueline Heinerman, Julien Hubert, Per Kristian Lehre, Luigi Malag, Juan Julin Merelo Guervs, Julian Francis Miller, Boris Naujoks, Pietro S. Oliveto, Stjepan Picek, Nelishia Pillay, Mike Preuss, Patricia Ryser-Welch, Giovanni Squillero, Jrg Stork, Dirk Sudholt, Alberto Paolo Tonda, L. Darrell Whitley, Martin Zaefferer |
| 2016 | PPSN | Provably Optimal Self-adjusting Step Sizes for Multi-valued Decision Variables. | Benjamin Doerr, Carola Doerr, Timo Ktzing |
| 2016 | PPSN | k-Bit Mutation with Self-Adjusting k Outperforms Standard Bit Mutation. | Benjamin Doerr, Carola Doerr, Jing Yang |
| 2015 | GECCO | Optimal Parameter Choices Through Self-Adjustment: Applying the 1/5-th Rule in Discrete Settings. | Benjamin Doerr, Carola Doerr |
| 2015 | GECCO | A Tight Runtime Analysis of the (1+(λ, λ)) Genetic Algorithm on OneMax. | Benjamin Doerr, Carola Doerr |
| 2015 | GECCO | Solving Problems with Unknown Solution Length at (Almost) No Extra Cost. | Benjamin Doerr, Carola Doerr, Timo Ktzing |
| 2015 | GECCO | Elitist Black-Box Models: Analyzing the Impact of Elitist Selection on the Performance of Evolutionary Algorithms. | Carola Doerr, Johannes Lengler |
| 2015 | GECCO | OneMax in Black-Box Models with Several Restrictions. | Carola Doerr, Johannes Lengler |
| 2015 | GECCO | Money for Nothing: Speeding Up Evolutionary Algorithms Through Better Initialization. | Axel de Perthuis de Laillevault, Benjamin Doerr, Carola Doerr |
| 2014 | GECCO | The impact of random initialization on the runtime of randomized search heuristics. | Benjamin Doerr, Carola Doerr |
| 2014 | GECCO | Black-box complexity: from complexity theory to playing mastermind. | Benjamin Doerr, Carola Doerr |
| 2014 | GECCO | Unbiased black-box complexities of jump functions: how to cross large plateaus. | Benjamin Doerr, Carola Doerr, Timo Ktzing |
| 2014 | GECCO | Women@GECCO 2014. | Una-May O'Reilly, Anna Esparcia-Alczar, Anne Auger, Carola Doerr, Anik Ekrt, Gabriela Ochoa |
| 2013 | ESA | Rumor Spreading in Random Evolving Graphs. | Andrea Clementi, Pierluigi Crescenzi, Carola Doerr, Pierre Fraigniaud, Marco Isopi, Alessandro Panconesi, Francesco Pasquale, Riccardo Silvestri |
| 2013 | GECCO | Black-box complexity: from complexity theory to playing mastermind. | Benjamin Doerr, Carola Doerr |
| 2013 | GECCO | Lessons from the black-box: fast crossover-based genetic algorithms. | Benjamin Doerr, Carola Doerr, Franziska Ebel |
| 2013 | GECCO | Constructing low star discrepancy point sets with genetic algorithms. | Carola Doerr, Franois-Michel De Rainville |
| 2013 | WG | Computing Minimum Cycle Bases in Weighted Partial 2-Trees in Linear Time. | Carola Doerr, G. Ramakrishna, Jens M. Schmidt |