Carola Doerr

297 papers A* 1A 52B 12Journal 160Unranked 66
YearRankTypeTitle / Venue / Authors
2026 J jnl
A survey of features used for representing black-box single-objective continuous optimization.
Swarm Evol. Comput.
Gjorgjina Cenikj, Ana Nikolikj, Gasper Petelin, Niki van Stein, Carola Doerr, Tome Eftimov
2026 J jnl
Automated Data Preparation for Machine Learning: A Survey.
J. Data-centric Mach. Learn. Res.
Sasa Mladenovic, Marius Lindauer, Carola Doerr
2026 J jnl
How Sequential Algorithm Portfolios can benefit Black Box Optimization.
CoRR
Catalin-Viorel Dinu, Diederick Vermetten, Carola Doerr
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 — conf
Cascading CMA-ES Instances for Generating Input-diverse Solution Batches.
GECCO Companion
Maria Laura Santoni, Christoph Dürr, Carola Doerr, Mike Preuss, Elena Raponi
2025 J jnl
Cascading CMA-ES Instances for Generating Input-diverse Solution Batches.
CoRR
Maria Laura Santoni, Christoph Dürr, Carola Doerr, Mike Preuss, Elena Raponi
2025 J jnl
Deep Reinforcement Learning for Dynamic Algorithm Configuration: A Case Study on Optimizing OneMax with the (1+(λ,λ))-GA.
CoRR
Tai Nguyen, Phong Le, André Biedenkapp, Carola Doerr, Nguyen Dang
2025 A conf
Enhancing Parameter Control Policies with State Information.
FOGA
Gianluca Covini, Denis Antipov, Carola Doerr
2025 J jnl
Enhancing Parameter Control Policies with State Information.
CoRR
Gianluca Covini, Denis Antipov, Carola Doerr
2025 B conf
From Binary to Multiclass Logistic Regression for Wine Origin: A Correlation- and Cost-Aware Study in Portugal and Chile.
IEEE Big Data
Yihang Lu, Carola Doerr, Mathieu Sebilo
2025 — conf
Geometric Learning in Black-Box Optimization: A GNN Framework for Algorithm Performance Prediction.
GECCO Companion
Ana Kostovska, Carola Doerr, Saso Dzeroski, Pance Panov, Tome Eftimov
2025 J jnl
Geometric Learning in Black-Box Optimization: A GNN Framework for Algorithm Performance Prediction.
CoRR
Ana Kostovska, Carola Doerr, Saso Dzeroski, Pance Panov, Tome Eftimov
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 J jnl
MECHBench: A Set of Black-Box Optimization Benchmarks originated from Structural Mechanics.
CoRR
Iván Olarte Rodríguez, Maria Laura Santoni, Fabian Duddeck, Carola Doerr, Thomas Bäck, Elena Raponi
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 A conf
Multi-parameter Control for the (1+(λ, λ))-GA on OneMax via Deep Reinforcement Learning.
FOGA
Tai Nguyen, Phong Le, Carola Doerr, Nguyen Dang
2025 J jnl
Multi-parameter Control for the (1+(λ,λ))-GA on OneMax via Deep Reinforcement Learning.
CoRR
Tai Nguyen, Phong Le, Carola Doerr, Nguyen Dang
2025 A conf
On the Importance of Reward Design in Reinforcement Learning-based Dynamic Algorithm Configuration: A Case Study on OneMax with (1+(λ, λ))-GA.
GECCO
Tai Nguyen, Phong Le, André Biedenkapp, Carola Doerr, Nguyen Dang
2025 J jnl
On the Importance of Reward Design in Reinforcement Learning-based Dynamic Algorithm Configuration: A Case Study on OneMax with (1+(λ,λ))-GA.
CoRR
Tai Nguyen, Phong Le, André Biedenkapp, Carola Doerr, Nguyen Dang
2025 J jnl
Optimizing Kernel Discrepancies via Subset Selection.
CoRR
Deyao Chen, François Clément, Carola Doerr, Nathan Kirk
2025 J jnl
Optimizing With Low Budgets: A Comparison on the Black-Box Optimization Benchmarking Suite and OpenAI Gym.
IEEE Trans. Evol. Comput.
Elena Raponi, Nathanaël Carraz Rakotonirina, Jérémy Rapin, Carola Doerr, Olivier Teytaud
2025 — ed.
Proceedings of the International Conference on Automated Machine Learning (AutoML 2025), 8-11 September 2025, Cornell Tech, New York, NY, USA
AutoML
Leman Akoglu, Carola Doerr, Jan N. van Rijn, Roman Garnett, Jacob R. Gardner
2025 J jnl
Towards the genome-scale discovery of bivariate monotonic classifiers.
BMC Bioinform.
Océane Fourquet, Martin S. Krejca, Carola Doerr, Benno Schwikowski
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
2025 J jnl
carps: A Framework for Comparing N Hyperparameter Optimizers on M Benchmarks.
CoRR
Carolin Benjamins, Helena Graf, Sarah Segel, Difan Deng, Tim Ruhkopf, Leona Hennig, Soham Basu, Neeratyoy Mallik, Edward Bergman, Deyao Chen, François Clément, Matthias Feurer, Katharina Eggensperger, Frank Hutter, Carola Doerr, Marius Lindauer
2024 J jnl
A Survey of Meta-features Used for Automated Selection of Algorithms for Black-box Single-objective Continuous Optimization.
CoRR
Gjorgjina Cenikj, Ana Nikolikj, Gasper Petelin, Niki van Stein, Carola Doerr, Tome Eftimov
2024 — conf
Benchmarking and Analyzing Iterative Optimization Heuristics with IOHprofiler.
GECCO Companion
Carola Doerr, Diederick Vermetten, Jacob de Nobel, Thomas Bäck
2024 J jnl
Comparison of High-Dimensional Bayesian Optimization Algorithms on BBOB.
ACM Trans. Evol. Learn. Optim.
Maria Laura Santoni, Elena Raponi, Renato De Leone, Carola Doerr
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 B conf
Generalization Ability of Feature-Based Performance Prediction Models: A Statistical Analysis Across Benchmarks.
CEC
Ana Nikolikj, Ana Kostovska, Gjorgjina Cenikj, Carola Doerr, Tome Eftimov
2024 J jnl
Generalization Ability of Feature-based Performance Prediction Models: A Statistical Analysis across Benchmarks.
CoRR
Ana Nikolikj, Ana Kostovska, Gjorgjina Cenikj, Carola Doerr, Tome Eftimov
2024 J jnl
Heuristic approaches to obtain low-discrepancy point sets via subset selection.
J. Complex.
François Clément, Carola Doerr, Luís Paquete
2024 — conf
Hybridizing Target- and SHAP-Encoded Features for Algorithm Selection in Mixed-Variable Black-Box Optimization.
PPSN (2)
Konstantin Dietrich, Raphael Patrick Prager, Carola Doerr, Heike Trautmann
2024 J jnl
Hybridizing Target- and SHAP-encoded Features for Algorithm Selection in Mixed-variable Black-box Optimization.
CoRR
Konstantin Dietrich, Raphael Patrick Prager, Carola Doerr, Heike Trautmann
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 J jnl
Illuminating the Diversity-Fitness Trade-Off in Black-Box Optimization.
CoRR
Maria Laura Santoni, Elena Raponi, Aneta Neumann, Frank Neumann, Mike Preuss, Carola Doerr
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 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 — conf
Learned Features vs. Classical ELA on Affine BBOB Functions.
PPSN (2)
Moritz Seiler, Urban Skvorc, Gjorgjina Cenikj, Carola Doerr, Heike Trautmann
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 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 — conf
Synergies of Deep and Classical Exploratory Landscape Features for Automated Algorithm Selection.
LION
Moritz Seiler, Urban Skvorc, Carola Doerr, Heike Trautmann
2024 J jnl
Tight Runtime Bounds for Static Unary Unbiased Evolutionary Algorithms on Linear Functions.
Algorithmica
Carola Doerr, Duri Andrea Janett, Johannes Lengler
2024 J jnl
Transforming the Challenge of Constructing Low-Discrepancy Point Sets into a Permutation Selection Problem.
CoRR
François Clément, Carola Doerr, Kathrin Klamroth, Luís Paquete
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 A conf
Algorithm Instance Footprint: Separating Easily Solvable and Challenging Problem Instances.
GECCO
Ana Nikolikj, Saso Dzeroski, Mario Andrés Muñoz, Carola Doerr, Peter Korosec, Tome Eftimov
2023 J jnl
Algorithm Instance Footprint: Separating Easily Solvable and Challenging Problem Instances.
CoRR
Ana Nikolikj, Saso Dzeroski, Mario Andrés Muñoz, Carola Doerr, Peter Korosec, Tome Eftimov
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
Benchmarking Iterative Optimization Heuristics with IOHprofiler (invited paper).
ITAT
Carola Doerr
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 A conf
Bridging Theory and Practice in Evolutionary Computation?
FOGA
Carola Doerr
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 — conf
Comparison of Bayesian Optimization Algorithms for BBOB Problems in Dimensions 10 and 60.
GECCO Companion
Maria Laura Santoni, Elena Raponi, Renato De Leone, Carola Doerr
2023 J jnl
Comparison of High-Dimensional Bayesian Optimization Algorithms on BBOB.
CoRR
Maria Laura Santoni, Elena Raponi, Renato De Leone, 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 J jnl
Constructing Optimal L
CoRR
François Clément, Carola Doerr, Kathrin Klamroth, Luís Paquete
2023 A conf
DynamoRep: Trajectory-Based Population Dynamics for Classification of Black-box Optimization Problems.
GECCO
Gjorgjina Cenikj, Gasper Petelin, Carola Doerr, Peter Korosec, Tome Eftimov
2023 J jnl
DynamoRep: Trajectory-Based Population Dynamics for Classification of Black-box Optimization Problems.
CoRR
Gjorgjina Cenikj, Gasper Petelin, Carola Doerr, Peter Korosec, Tome Eftimov
2023 J jnl
Heuristic Approaches to Obtain Low-Discrepancy Point Sets via Subset Selection.
CoRR
François Clément, Carola Doerr, Luís Paquete
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 J jnl
OPTION: OPTImization Algorithm Benchmarking ONtology.
IEEE Trans. Evol. Comput.
Ana Kostovska, Diederick Vermetten, Carola Doerr, Saso Dzeroski, Pance Panov, Tome Eftimov
2023 J jnl
Optimizing with Low Budgets: a Comparison on the Black-box Optimization Benchmarking Suite and OpenAI Gym.
CoRR
Elena Raponi, Nathanaël Carraz Rakotonirina, Jérémy Rapin, Carola Doerr, Olivier Teytaud
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 — conf
RF+clust for Leave-One-Problem-Out Performance Prediction.
EvoApplications@EvoStar
Ana Nikolikj, Carola Doerr, Tome Eftimov
2023 J jnl
RF+clust for Leave-One-Problem-Out Performance Prediction.
CoRR
Ana Nikolikj, Carola Doerr, Tome Eftimov
2023 J jnl
Run Time Analysis for Random Local Search on Generalized Majority Functions.
IEEE Trans. Evol. Comput.
Carola Doerr, Martin S. Krejca
2023 — conf
Self-Adjusting Weighted Expected Improvement for Bayesian Optimization.
AutoML
Carolin Benjamins, Elena Raponi, Anja Jankovic, Carola Doerr, Marius Lindauer
2023 J jnl
Self-Adjusting Weighted Expected Improvement for Bayesian Optimization.
CoRR
Carolin Benjamins, Elena Raponi, Anja Jankovic, Carola Doerr, Marius Lindauer
2023 B conf
Sensitivity Analysis of RF+clust for Leave-One-Problem-Out Performance Prediction.
CEC
Ana Nikolikj, Michal Pluhacek, Carola Doerr, Peter Korosec, Tome Eftimov
2023 J jnl
Sensitivity Analysis of RF+clust for Leave-one-problem-out Performance Prediction.
CoRR
Ana Nikolikj, Michal Pluhacek, Carola Doerr, Peter Korosec, Tome Eftimov
2023 A conf
Tight Runtime Bounds for Static Unary Unbiased Evolutionary Algorithms on Linear Functions.
GECCO
Carola Doerr, Duri Andrea Janett, Johannes Lengler
2023 J jnl
Tight Runtime Bounds for Static Unary Unbiased Evolutionary Algorithms on Linear Functions.
CoRR
Carola Doerr, Duri Andrea Janett, Johannes Lengler
2023 — conf
Towards Self-Adjusting Weighted Expected Improvement for Bayesian Optimization.
GECCO Companion
Carolin Benjamins, Elena Raponi, Anja Jankovic, Carola Doerr, Marius Lindauer
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 A conf
Using Automated Algorithm Configuration for Parameter Control.
FOGA
Deyao Chen, Maxim Buzdalov, Carola Doerr, Nguyen Dang
2023 J jnl
Using Automated Algorithm Configuration for Parameter Control.
CoRR
Deyao Chen, Maxim Buzdalov, Carola Doerr, Nguyen Dang
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
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
Automated Algorithm Selection for Radar Network Configuration.
CoRR
Quentin Renau, Johann Dréo, Alain Peres, Yann Semet, Carola Doerr, Benjamin Doerr
2022 J jnl
Automated Configuration of Genetic Algorithms by Tuning for Anytime Performance.
IEEE Trans. Evol. Comput.
Furong Ye, Carola Doerr, Hao Wang, Thomas Bäck
2022 A conf
Automated algorithm selection for radar network configuration.
GECCO
Quentin Renau, Johann Dréo, Alain Peres, Yann Semet, Carola Doerr, Benjamin Doerr
2022 — conf
Automated configuration of genetic algorithms by tuning for anytime performance: hot-off-the-press track at GECCCO 2022.
GECCO Companion
Furong Ye, Carola Doerr, Hao Wang, Thomas Bäck
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
Black-Box Optimization Revisited: Improving Algorithm Selection Wizards Through Massive Benchmarking.
IEEE Trans. Evol. Comput.
Laurent Meunier, Herilalaina Rakotoarison, Pak-Kan Wong, Baptiste Rozière, Jérémy Rapin, Olivier Teytaud, Antoine Moreau, Carola Doerr
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 — conf
Explainable Model-specific Algorithm Selection for Multi-Label Classification.
SSCI
Ana Kostovska, Carola Doerr, Saso Dzeroski, Dragi Kocev, Pance Panov, Tome Eftimov
2022 J jnl
Explainable Model-specific Algorithm Selection for Multi-Label Classification.
CoRR
Ana Kostovska, Carola Doerr, Saso Dzeroski, Dragi Kocev, Pance Panov, Tome Eftimov
2022 B conf
Fast Re-Optimization of LeadingOnes with Frequent Changes.
CEC
Nina Bulanova, Arina Buzdalova, Carola Doerr
2022 J jnl
Fast Re-Optimization of LeadingOnes with Frequent Changes.
CoRR
Nina Bulanova, Arina Buzdalova, Carola Doerr
2022 J jnl
Fixed-Target Runtime Analysis.
Algorithmica
Maxim Buzdalov, Benjamin Doerr, Carola Doerr, Dmitry Vinokurov
2022 J jnl
Guest Editorial Special Issue on Benchmarking Sampling-Based Optimization Heuristics: Methodology and Software.
IEEE Trans. Evol. Comput.
Thomas Bäck, Carola Doerr, Bernhard Sendhoff, Thomas Stützle
2022 — conf
High Dimensional Bayesian Optimization with Kernel Principal Component Analysis.
PPSN (1)
Kirill A. Antonov, Elena Raponi, Hao Wang, Carola Doerr
2022 J jnl
High Dimensional Bayesian Optimization with Kernel Principal Component Analysis.
CoRR
Kirill A. Antonov, Elena Raponi, Hao Wang, Carola Doerr
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
Improving Nevergrad's Algorithm Selection Wizard NGOpt Through Automated Algorithm Configuration.
PPSN (1)
Risto Trajanov, Ana Nikolikj, Gjorgjina Cenikj, Fabien Teytaud, Mathurin Videau, Olivier Teytaud, Tome Eftimov, Manuel López-Ibáñez, Carola Doerr
2022 J jnl
Improving Nevergrad's Algorithm Selection Wizard NGOpt through Automated Algorithm Configuration.
CoRR
Risto Trajanov, Ana Nikolikj, Gjorgjina Cenikj, Fabien Teytaud, Mathurin Videau, Olivier Teytaud, Tome Eftimov, Manuel López-Ibáñez, Carola Doerr
2022 J jnl
Non-Elitist Selection among Survivor Configurations can Improve the Performance of Irace.
CoRR
Furong Ye, Diederick L. Vermetten, 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 J jnl
PI is back! Switching Acquisition Functions in Bayesian Optimization.
CoRR
Carolin Benjamins, Elena Raponi, Anja Jankovic, Koen van der Blom, Maria Laura Santoni, Marius Lindauer, Carola Doerr
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
Run Time Analysis for Random Local Search on Generalized Majority Functions.
CoRR
Carola Doerr, Martin S. Krejca
2022 J jnl
SELECTOR: Selecting a Representative Benchmark Suite for Reproducible Statistical Comparison.
CoRR
Gjorgjina Cenikj, Ryan Dieter Lang, Andries Petrus Engelbrecht, Carola Doerr, Peter Korosec, Tome Eftimov
2022 A conf
SELECTOR: selecting a representative benchmark suite for reproducible statistical comparison.
GECCO
Gjorgjina Cenikj, Ryan Dieter Lang, Andries Petrus Engelbrecht, Carola Doerr, Peter Korosec, Tome Eftimov
2022 J jnl
Star discrepancy subset selection: Problem formulation and efficient approaches for low dimensions.
J. Complex.
François Clément, Carola Doerr, Luís Paquete
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 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 J jnl
Theory-inspired Parameter Control Benchmarks for Dynamic Algorithm Configuration.
CoRR
André Biedenkapp, Nguyen Dang, Martin S. Krejca, Frank Hutter, Carola Doerr
2022 A conf
Theory-inspired parameter control benchmarks for dynamic algorithm configuration.
GECCO
André Biedenkapp, Nguyen Dang, Martin S. Krejca, Frank Hutter, Carola Doerr
2022 J jnl
Towards Automated Design of Bayesian Optimization via Exploratory Landscape Analysis.
CoRR
Carolin Benjamins, Anja Jankovic, Elena Raponi, Koen van der Blom, Marius Lindauer, Carola Doerr
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
2021 J jnl
Automated Configuration of Genetic Algorithms by Tuning for Anytime Performance.
CoRR
Furong Ye, Carola Doerr, Hao Wang, Thomas Bäck
2021 B conf
Blending Dynamic Programming with Monte Carlo Simulation for Bounding the Running Time of Evolutionary Algorithms.
CEC
Kirill Antonov, Maxim Buzdalov, Arina Buzdalova, Carola Doerr
2021 J jnl
Blending Dynamic Programming with Monte Carlo Simulation for Bounding the Running Time of Evolutionary Algorithms.
CoRR
Kirill Antonov, Maxim Buzdalov, Arina Buzdalova, Carola Doerr
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
Leveraging Benchmarking Data for Informed One-Shot Dynamic Algorithm Selection.
CoRR
Furong Ye, Carola Doerr, Thomas Bäck
2021 — conf
Leveraging benchmarking data for informed one-shot dynamic algorithm selection.
GECCO Companion
Furong Ye, Carola Doerr, Thomas Bäck
2021 B conf
MATE: A Model-Based Algorithm Tuning Engine - A Proof of Concept Towards Transparent Feature-Dependent Parameter Tuning Using Symbolic Regression.
EvoCOP
Mohamed El Yafrani, Marcella Scoczynski Ribeiro Martins, Inkyung Sung, Markus Wagner, Carola Doerr, Peter Nielsen
2021 J jnl
Maximizing Drift Is Not Optimal for Solving OneMax.
Evol. Comput.
Nathan Buskulic, Carola Doerr
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
Optimal Static Mutation Strength Distributions for the (1+λ) Evolutionary Algorithm on OneMax.
CoRR
Maxim Buzdalov, Carola Doerr
2021 A conf
Optimal static mutation strength distributions for the (1
GECCO
Maxim Buzdalov, Carola Doerr
2021 J jnl
Personalizing Performance Regression Models to Black-Box Optimization Problems.
CoRR
Tome Eftimov, Anja Jankovic, Gorjan Popovski, Carola Doerr, Peter Korosec
2021 A conf
Personalizing performance regression models to black-box optimization problems.
GECCO
Tome Eftimov, Anja Jankovic, Gorjan Popovski, Carola Doerr, Peter Korosec
2021 J jnl
Self-Adjusting Mutation Rates with Provably Optimal Success Rules.
Algorithmica
Benjamin Doerr, Carola Doerr, Johannes Lengler
2021 J jnl
Star Discrepancy Subset Selection: Problem Formulation and Efficient Approaches for Low Dimensions.
CoRR
Carola Doerr, Luís Paquete
2021 J jnl
The Impact of Hyper-Parameter Tuning for Landscape-Aware Performance Regression and Algorithm Selection.
CoRR
Anja Jankovic, Gorjan Popovski, Tome Eftimov, Carola Doerr
2021 A conf
The impact of hyper-parameter tuning for landscape-aware performance regression and algorithm selection.
GECCO
Anja Jankovic, Gorjan Popovski, Tome Eftimov, Carola Doerr
2021 B conf
Towards Explainable Exploratory Landscape Analysis: Extreme Feature Selection for Classifying BBOB Functions.
EvoApplications
Quentin Renau, Johann Dréo, Carola Doerr, Benjamin Doerr
2021 J jnl
Towards Explainable Exploratory Landscape Analysis: Extreme Feature Selection for Classifying BBOB Functions.
CoRR
Quentin Renau, Johann Dréo, Carola Doerr, Benjamin Doerr
2021 B conf
Towards Feature-Based Performance Regression Using Trajectory Data.
EvoApplications
Anja Jankovic, Tome Eftimov, Carola Doerr
2021 J jnl
Towards Feature-Based Performance Regression Using Trajectory Data.
CoRR
Anja Jankovic, Tome Eftimov, Carola Doerr
2021 J jnl
Towards Large Scale Automated Algorithm Design by Integrating Modular Benchmarking Frameworks.
CoRR
Amine Aziz-Alaoui, Carola Doerr, Johann Dréo
2021 — conf
Towards large scale automated algorithm design by integrating modular benchmarking frameworks.
GECCO Companion
Amine Aziz-Alaoui, Carola Doerr, Johann Dréo
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
Benchmarking a $(μ+λ)$ Genetic Algorithm with Configurable Crossover Probability.
CoRR
Furong Ye, Hao Wang, Carola Doerr, Thomas Bäck
2020 — conf
Benchmarking a (μ +λ ) Genetic Algorithm with Configurable Crossover Probability.
PPSN (2)
Furong Ye, Hao Wang, Carola Doerr, Thomas Bäck
2020 — conf
Benchmarking and analyzing iterative optimization heuristics with IOHprofiler.
GECCO Companion
Hao Wang, Carola Doerr, Ofer M. Shir, Thomas Bäck
2020 J jnl
Benchmarking discrete optimization heuristics with IOHprofiler.
Appl. Soft Comput.
Carola Doerr, Furong Ye, Naama Horesh, Hao Wang, Ofer M. Shir, Thomas Bäck
2020 J jnl
Benchmarking in Optimization: Best Practice and Open Issues.
CoRR
Thomas Bartz-Beielstein, Carola Doerr, Jakob Bossek, Sowmya Chandrasekaran, Tome Eftimov, Andreas Fischbach, Pascal Kerschke, Manuel López-Ibáñez, Katherine M. Malan, Jason H. Moore, Boris Naujoks, Patryk Orzechowski, Vanessa Volz, Markus Wagner, Thomas Weise
2020 J jnl
Black-Box Optimization Revisited: Improving Algorithm Selection Wizards through Massive Benchmarking.
CoRR
Laurent Meunier, Herilalaina Rakotoarison, Pak-Kan Wong, Baptiste Rozière, Jérémy Rapin, Olivier Teytaud, Antoine Moreau, Carola Doerr
2020 — ch.
Complexity Theory for Discrete Black-Box Optimization Heuristics.
Theory of Evolutionary Computation
Carola Doerr
2020 — conf
Dynamic control parameter choices in evolutionary computation: GECCO 2020 tutorial.
GECCO Companion
Gregor Papa, Carola Doerr
2020 — conf
Evolving Sampling Strategies for One-Shot Optimization Tasks.
PPSN (1)
Jakob Bossek, Carola Doerr, Pascal Kerschke, Aneta Neumann, Frank Neumann
2020 — conf
Exploratory Landscape Analysis is Strongly Sensitive to the Sampling Strategy.
PPSN (2)
Quentin Renau, Carola Doerr, Johann Dréo, Benjamin Doerr
2020 J jnl
Exploratory Landscape Analysis is Strongly Sensitive to the Sampling Strategy.
CoRR
Quentin Renau, Carola Doerr, Johann Dréo, Benjamin Doerr
2020 J jnl
Fixed-Target Runtime Analysis.
CoRR
Maxim Buzdalov, Benjamin Doerr, Carola Doerr, Dmitry Vinokurov
2020 A conf
Fixed-target runtime analysis.
GECCO
Maxim Buzdalov, Benjamin Doerr, Carola Doerr, Dmitry Vinokurov
2020 — conf
High Dimensional Bayesian Optimization Assisted by Principal Component Analysis.
PPSN (1)
Elena Raponi, Hao Wang, Mariusz Bujny, Simonetta Boria, Carola Doerr
2020 J jnl
High Dimensional Bayesian Optimization Assisted by Principal Component Analysis.
CoRR
Elena Raponi, Hao Wang, Mariusz Bujny, Simonetta Boria, Carola Doerr
2020 — conf
Hybridizing the 1/5-th Success Rule with Q-Learning for Controlling the Mutation Rate of an Evolutionary Algorithm.
PPSN (2)
Arina Buzdalova, Carola Doerr, Anna Rodionova
2020 J jnl
Hybridizing the 1/5-th Success Rule with Q-Learning for Controlling the Mutation Rate of an Evolutionary Algorithm.
CoRR
Arina Buzdalova, Carola Doerr, Anna Rodionova
2020 J jnl
IOHanalyzer: Performance Analysis for Iterative Optimization Heuristic.
CoRR
Hao Wang, Diederick Vermetten, Furong Ye, Carola Doerr, Thomas Bäck
2020 J jnl
Initial Design Strategies and their Effects on Sequential Model-Based Optimization.
CoRR
Jakob Bossek, Carola Doerr, Pascal Kerschke
2020 A conf
Initial design strategies and their effects on sequential model-based optimization: an exploratory case study based on BBOB.
GECCO
Jakob Bossek, Carola Doerr, Pascal Kerschke
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
Landscape-Aware Fixed-Budget Performance Regression and Algorithm Selection for Modular CMA-ES Variants.
CoRR
Anja Jankovic, Carola Doerr
2020 A conf
Landscape-aware fixed-budget performance regression and algorithm selection for modular CMA-ES variants.
GECCO
Anja Jankovic, Carola Doerr
2020 — conf
Linear Matrix Factorization Embeddings for Single-objective Optimization Landscapes.
SSCI
Tome Eftimov, Gorjan Popovski, Quentin Renau, Peter Korosec, Carola Doerr
2020 J jnl
Linear Matrix Factorization Embeddings for Single-objective Optimization Landscapes.
CoRR
Tome Eftimov, Gorjan Popovski, Quentin Renau, Peter Korosec, Carola Doerr
2020 J jnl
MATE: A Model-based Algorithm Tuning Engine.
CoRR
Mohamed El Yafrani, Marcella Scoczynski Ribeiro Martins, Inkyung Sung, Markus Wagner, Carola Doerr, Peter Nielsen
2020 — conf
Optimal Mutation Rates for the (1+λ ) EA on OneMax.
PPSN (2)
Maxim Buzdalov, Carola Doerr
2020 J jnl
Optimal Mutation Rates for the (1+λ) EA on OneMax.
CoRR
Maxim Buzdalov, Carola Doerr
2020 J jnl
Optimal parameter choices via precise black-box analysis.
Theor. Comput. Sci.
Benjamin Doerr, Carola Doerr, Jing Yang
2020 A* conf
Optimization of Chance-Constrained Submodular Functions.
AAAI
Benjamin Doerr, Carola Doerr, Aneta Neumann, Frank Neumann, Andrew M. Sutton
2020 — ed.
Parallel Problem Solving from Nature - PPSN XVI - 16th International Conference, PPSN 2020, Leiden, The Netherlands, September 5-9, 2020, Proceedings, Part I
PPSN (1)
Thomas Bäck, Mike Preuss, André H. Deutz, Hao Wang, Carola Doerr, Michael T. M. Emmerich, Heike Trautmann
2020 — ed.
Parallel Problem Solving from Nature - PPSN XVI - 16th International Conference, PPSN 2020, Leiden, The Netherlands, September 5-9, 2020, Proceedings, Part II
PPSN (2)
Thomas Bäck, Mike Preuss, André H. Deutz, Hao Wang, Carola Doerr, Michael T. M. Emmerich, Heike Trautmann
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 — book
Theory of Iterative Optimization Heuristics: From Black-Box Complexity over Algorithm Design to Parameter Control.
Carola Doerr
2020 — ch.
Theory of Parameter Control for Discrete Black-Box Optimization: Provable Performance Gains Through Dynamic Parameter Choices.
Theory of Evolutionary Computation
Benjamin Doerr, Carola Doerr
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
2020 — conf
Variance Reduction for Better Sampling in Continuous Domains.
PPSN (1)
Laurent Meunier, Carola Doerr, Jérémy Rapin, Olivier Teytaud
2020 J jnl
Variance Reduction for Better Sampling in Continuous Domains.
CoRR
Laurent Meunier, Carola Doerr, Jérémy Rapin, Olivier Teytaud
2019 — conf
Adaptive landscape analysis.
GECCO (Companion)
Anja Jankovic, Carola Doerr
2019 — conf
Bayesian performance analysis for black-box optimization benchmarking.
GECCO (Companion)
Borja Calvo, Ofer M. Shir, Josu Ceberio, Carola Doerr, Hao Wang, Thomas Bäck, José Antonio Lozano
2019 J jnl
Benchmarking Discrete Optimization Heuristics with IOHprofiler.
CoRR
Carola Doerr, Furong Ye, Naama Horesh, Hao Wang, Ofer M. Shir, Thomas Bäck
2019 — conf
Benchmarking discrete optimization heuristics with IOHprofiler.
GECCO (Companion)
Carola Doerr, Furong Ye, Naama Horesh, Hao Wang, Ofer M. Shir, Thomas Bäck
2019 — conf
Coupling the design of benchmark with algorithm in landscape-aware solver design.
GECCO (Companion)
Johann Dréo, Carola Doerr, Yann Semet
2019 — conf
Dynamic parameter choices in evolutionary computation.
GECCO (Companion)
Carola Doerr
2019 — conf
Expressiveness and robustness of landscape features.
GECCO (Companion)
Quentin Renau, Johann Dréo, Carola Doerr, Benjamin Doerr
2019 J jnl
Fast Re-Optimization via Structural Diversity.
CoRR
Benjamin Doerr, Carola Doerr, Frank Neumann
2019 A conf
Fast re-optimization via structural diversity.
GECCO
Benjamin Doerr, Carola Doerr, Frank Neumann
2019 — conf
Fixed-target runtime analysis of the (1 + 1) EA with resampling.
GECCO (Companion)
Dmitry Vinokurov, Maxim Buzdalov, Arina Buzdalova, Benjamin Doerr, Carola Doerr
2019 J jnl
Hyper-Parameter Tuning for the (1+(λ, λ)) GA.
CoRR
Nguyen Dang, Carola Doerr
2019 A conf
Hyper-parameter tuning for the (1 + (
GECCO
Nguyen Dang, Carola Doerr
2019 — conf
Illustrating the trade-off between time, quality, and success probability in heuristic search: a discussion paper.
GECCO (Companion)
Ivan Ignashov, Arina Buzdalova, Maxim Buzdalov, Carola Doerr
2019 B conf
Interpolating Local and Global Search by Controlling the Variance of Standard Bit Mutation.
CEC
Furong Ye, Carola Doerr, Thomas Bäck
2019 J jnl
Interpolating Local and Global Search by Controlling the Variance of Standard Bit Mutation.
CoRR
Furong Ye, Carola Doerr, Thomas Bäck
2019 — conf
Making a case for (Hyper-)parameter tuning as benchmark problems.
GECCO (Companion)
Carola Doerr, Johann Dréo, Pascal Kerschke
2019 J jnl
Maximizing Drift is Not Optimal for Solving OneMax.
CoRR
Nathan Buskulic, Carola Doerr
2019 — conf
Maximizing drift is not optimal for solving OneMax.
GECCO (Companion)
Nathan Buskulic, Carola Doerr
2019 J jnl
Offspring Population Size Matters when Comparing Evolutionary Algorithms with Self-Adjusting Mutation Rates.
CoRR
Anna Rodionova, Kirill Antonov, Arina Buzdalova, Carola Doerr
2019 A conf
Offspring population size matters when comparing evolutionary algorithms with self-adjusting mutation rates.
GECCO
Anna Rodionova, Kirill Antonov, Arina Buzdalova, Carola Doerr
2019 J jnl
One-Shot Decision-Making with and without Surrogates.
CoRR
Jakob Bossek, Pascal Kerschke, Aneta Neumann, Frank Neumann, 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
Optimization of Chance-Constrained Submodular Functions.
CoRR
Benjamin Doerr, Carola Doerr, Aneta Neumann, Frank Neumann, Andrew M. Sutton
2019 J jnl
Preface to the Special Issue on Theory of Genetic and Evolutionary Computation.
Algorithmica
Carola Doerr, Dirk Sudholt
2019 A ed.
Proceedings of the 15th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, FOGA 2019, Potsdam, Germany, August 27-29, 2019.
FOGA
Tobias Friedrich, Carola Doerr, Dirk V. Arnold
2019 J jnl
Self-Adjusting Mutation Rates with Provably Optimal Success Rules.
CoRR
Benjamin Doerr, Carola Doerr, Johannes Lengler
2019 A conf
Self-adjusting mutation rates with provably optimal success rules.
GECCO
Benjamin Doerr, Carola Doerr, Johannes Lengler
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
2019 J jnl
Solving Problems with Unknown Solution Length at Almost No Extra Cost.
Algorithmica
Benjamin Doerr, Carola Doerr, Timo Kötzing
2019 J jnl
The query complexity of a permutation-based variant of Mastermind.
Discret. Appl. Math.
Peyman Afshani, Manindra Agrawal, Benjamin Doerr, Carola Doerr, Kasper Green Larsen, Kurt Mehlhorn
2019 J jnl
Theory of Randomized Optimization Heuristics (Dagstuhl Reports 19431).
Dagstuhl Reports
Carola Doerr, Carlos M. Fonseca, Tobias Friedrich, Xin Yao
2018 — conf
A Simple Proof for the Usefulness of Crossover in Black-Box Optimization.
PPSN (2)
Eduardo Carvalho Pinto, Carola Doerr
2018 — conf
Compiling a benchmarking test-suite for combinatorial black-box optimization: a position paper.
GECCO (Companion)
Ofer M. Shir, Carola Doerr, Thomas Bäck
2018 J jnl
Complexity Theory for Discrete Black-Box Optimization Heuristics.
CoRR
Carola Doerr
2018 J jnl
Discrepancy-based Evolutionary Diversity Optimization.
CoRR
Aneta Neumann, Wanru Gao, Carola Doerr, Frank Neumann, Markus Wagner
2018 A conf
Discrepancy-based evolutionary diversity optimization.
GECCO
Aneta Neumann, Wanru Gao, Carola Doerr, Frank Neumann, Markus Wagner
2018 — conf
Dynamic parameter choices in evolutionary computation.
GECCO (Companion)
Carola Doerr
2018 J jnl
IOHprofiler: A Benchmarking and Profiling Tool for Iterative Optimization Heuristics.
CoRR
Carola Doerr, Hao Wang, Furong Ye, Sander van Rijn, Thomas Bäck
2018 J jnl
On the Effectiveness of Simple Success-Based Parameter Selection Mechanisms for Two Classical Discrete Black-Box Optimization Benchmark Problems.
CoRR
Carola Doerr, Markus Wagner
2018 J jnl
Optimal Parameter Choices via Precise Black-Box Analysis.
CoRR
Benjamin Doerr, Carola Doerr, Jing Yang
2018 J jnl
Optimal Static and Self-Adjusting Parameter Choices for the (1+(λ, λ)) Genetic Algorithm.
Algorithmica
Benjamin Doerr, Carola Doerr
2018 — conf
Sensitivity of Parameter Control Mechanisms with Respect to Their Initialization.
PPSN (2)
Carola Doerr, Markus Wagner
2018 A conf
Simple on-the-fly parameter selection mechanisms for two classical discrete black-box optimization benchmark problems.
GECCO
Carola Doerr, Markus Wagner
2018 J jnl
Static and Self-Adjusting Mutation Strengths for Multi-valued Decision Variables.
Algorithmica
Benjamin Doerr, Carola Doerr, Timo Kötzing
2018 J jnl
The (1+1) Elitist Black-Box Complexity of LeadingOnes.
Algorithmica
Carola Doerr, Johannes Lengler
2018 J jnl
The Query Complexity of a Permutation-Based Variant of Mastermind.
CoRR
Peyman Afshani, Manindra Agrawal, Benjamin Doerr, Carola Doerr, Kasper Green Larsen, Kurt Mehlhorn
2018 J jnl
Theory of Parameter Control for Discrete Black-Box Optimization: Provable Performance Gains Through Dynamic Parameter Choices.
CoRR
Benjamin Doerr, Carola Doerr
2018 J jnl
Towards a More Practice-Aware Runtime Analysis of Evolutionary Algorithms.
CoRR
Eduardo Carvalho Pinto, Carola Doerr
2018 J jnl
Towards a Theory-Guided Benchmarking Suite for Discrete Black-Box Optimization Heuristics: Profiling (1+λ) EA Variants on OneMax and LeadingOnes.
CoRR
Carola Doerr, Furong Ye, Sander van Rijn, Hao Wang, Thomas Bäck
2018 A conf
Towards a theory-guided benchmarking suite for discrete black-box optimization heuristics: profiling (1 + λ) EA variants on onemax and leadingones.
GECCO
Carola Doerr, Furong Ye, Sander van Rijn, Hao Wang, Thomas Bäck
2018 — conf
Towards an Adaptive CMA-ES Configurator.
PPSN (1)
Sander van Rijn, Carola Doerr, Thomas Bäck
2018 — conf
Tutorials at PPSN 2018.
PPSN (2)
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 Martí, Yi Mei, Juan Julián Merelo Guervós, 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
2017 J jnl
Introducing Elitist Black-Box Models: When Does Elitist Behavior Weaken the Performance of Evolutionary Algorithms?
Evol. Comput.
Carola Doerr, Johannes Lengler
2017 — conf
Non-static parameter choices in evolutionary computation.
GECCO (Companion)
Carola Doerr
2017 J jnl
OneMax in Black-Box Models with Several Restrictions.
Algorithmica
Carola Doerr, Johannes Lengler
2017 J jnl
Preface to the Special Issue on Theory of Genetic and Evolutionary Computation.
Algorithmica
Carola Doerr, Francisco Chicano
2017 J jnl
Theory of Randomized Optimization Heuristics (Dagstuhl Seminar 17191).
Dagstuhl Reports
Carola Doerr, Christian Igel, Lothar Thiele, Xin Yao
2017 A conf
Unknown solution length problems with no asymptotically optimal run time.
GECCO
Benjamin Doerr, Carola Doerr, Timo Kötzing
2016 A conf
Optimal Parameter Choices via Precise Black-Box Analysis.
GECCO
Benjamin Doerr, Carola Doerr, Jing Yang
2016 J jnl
Playing Mastermind With Many Colors.
J. ACM
Benjamin Doerr, Carola Doerr, Reto Spöhel, Henning Thomas
2016 A conf
Provably Optimal Self-adjusting Step Sizes for Multi-valued Decision Variables.
PPSN
Benjamin Doerr, Carola Doerr, Timo Kötzing
2016 J jnl
Rumor spreading in random evolving graphs.
Random Struct. Algorithms
Andrea Clementi, Pierluigi Crescenzi, Carola Doerr, Pierre Fraigniaud, Francesco Pasquale, Riccardo Silvestri
2016 J jnl
Simple and optimal randomized fault-tolerant rumor spreading.
Distributed Comput.
Benjamin Doerr, Carola Doerr, Shay Moran, Shlomo Moran
2016 A conf
The (1+1) Elitist Black-Box Complexity of LeadingOnes.
GECCO
Carola Doerr, Johannes Lengler
2016 J jnl
The (1+1) Elitist Black-Box Complexity of LeadingOnes.
CoRR
Carola Doerr, Johannes Lengler
2016 J jnl
The Impact of Random Initialization on the Runtime of Randomized Search Heuristics.
Algorithmica
Benjamin Doerr, Carola Doerr
2016 A conf
The Right Mutation Strength for Multi-Valued Decision Variables.
GECCO
Benjamin Doerr, Carola Doerr, Timo Kötzing
2016 J jnl
The Right Mutation Strength for Multi-Valued Decision Variables.
CoRR
Benjamin Doerr, Carola Doerr, Timo Kötzing
2016 — conf
Theory for Non-Theoreticians.
GECCO (Companion)
Benjamin Doerr, Carola Doerr
2016 A conf
Tutorials at PPSN 2016.
PPSN
Carola Doerr, Nicolas Bredèche, 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 Malagò, Juan Julián Merelo Guervós, Julian Francis Miller, Boris Naujoks, Pietro S. Oliveto, Stjepan Picek, Nelishia Pillay, Mike Preuss, Patricia Ryser-Welch, Giovanni Squillero, Jörg Stork, Dirk Sudholt, Alberto Paolo Tonda, L. Darrell Whitley, Martin Zaefferer
2016 — conf
Women@GECCO 2016 Chairs' Welcome.
GECCO (Companion)
Carola Doerr, Julia Handl, Emma Hart, Gabriela Ochoa, Amarda Shehu, Tea Tusar, Anya E. Vostinar, Christine Zarges, Nur Zincir-Heywood
2016 A conf
k-Bit Mutation with Self-Adjusting k Outperforms Standard Bit Mutation.
PPSN
Benjamin Doerr, Carola Doerr, Jing Yang
2015 J jnl
A Tight Runtime Analysis of the $(1+(λ, λ))$ Genetic Algorithm on OneMax.
CoRR
Benjamin Doerr, Carola Doerr
2015 A conf
A Tight Runtime Analysis of the (1+(λ, λ)) Genetic Algorithm on OneMax.
GECCO
Benjamin Doerr, Carola Doerr
2015 A conf
Elitist Black-Box Models: Analyzing the Impact of Elitist Selection on the Performance of Evolutionary Algorithms.
GECCO
Carola Doerr, Johannes Lengler
2015 J jnl
From black-box complexity to designing new genetic algorithms.
Theor. Comput. Sci.
Benjamin Doerr, Carola Doerr, Franziska Ebel
2015 J jnl
Introducing Elitist Black-Box Models: When Does Elitist Selection Weaken the Performance of Evolutionary Algorithms?
CoRR
Carola Doerr, Johannes Lengler
2015 A conf
Money for Nothing: Speeding Up Evolutionary Algorithms Through Better Initialization.
GECCO
Axel de Perthuis de Laillevault, Benjamin Doerr, Carola Doerr
2015 A conf
OneMax in Black-Box Models with Several Restrictions.
GECCO
Carola Doerr, Johannes Lengler
2015 J jnl
OneMax in Black-Box Models with Several Restrictions.
CoRR
Carola Doerr, Johannes Lengler
2015 A conf
Optimal Parameter Choices Through Self-Adjustment: Applying the 1/5-th Rule in Discrete Settings.
GECCO
Benjamin Doerr, Carola Doerr
2015 J jnl
Optimal Parameter Choices Through Self-Adjustment: Applying the 1/5-th Rule in Discrete Settings.
CoRR
Benjamin Doerr, Carola Doerr
2015 A conf
Solving Problems with Unknown Solution Length at (Almost) No Extra Cost.
GECCO
Benjamin Doerr, Carola Doerr, Timo Kötzing
2015 J jnl
Solving Problems with Unknown Solution Length at (Almost) No Extra Cost.
CoRR
Benjamin Doerr, Carola Doerr, Timo Kötzing
2015 J jnl
Unbiased Black-Box Complexities of Jump Functions.
Evol. Comput.
Benjamin Doerr, Carola Doerr, Timo Kötzing
2014 — conf
Black-box complexity: from complexity theory to playing mastermind.
GECCO (Companion)
Benjamin Doerr, Carola Doerr
2014 J jnl
Computing Minimum Cycle Bases in Weighted Partial 2-Trees in Linear Time.
J. Graph Algorithms Appl.
Carola Doerr, G. Ramakrishna, Jens M. Schmidt
2014 J jnl
The Price of Anarchy for Selfish Ring Routing is Two.
ACM Trans. Economics and Comput.
Xujin Chen, Benjamin Doerr, Carola Doerr, Xiaodong Hu, Weidong Ma, Rob van Stee
2014 A conf
The impact of random initialization on the runtime of randomized search heuristics.
GECCO
Benjamin Doerr, Carola Doerr
2014 J jnl
The unbiased black-box complexity of partition is polynomial.
Artif. Intell.
Benjamin Doerr, Carola Doerr, Timo Kötzing
2014 J jnl
Unbiased Black-Box Complexities of Jump Functions - How to Cross Large Plateaus.
CoRR
Benjamin Doerr, Carola Doerr, Timo Kötzing
2014 A conf
Unbiased black-box complexities of jump functions: how to cross large plateaus.
GECCO
Benjamin Doerr, Carola Doerr, Timo Kötzing
2014 — conf
Women@GECCO 2014.
GECCO (Companion)
Una-May O'Reilly, Anna Esparcia-Alcázar, Anne Auger, Carola Doerr, Anikó Ekárt, Gabriela Ochoa
2013 — conf
Black-box complexity: from complexity theory to playing mastermind.
GECCO (Companion)
Benjamin Doerr, Carola Doerr
2013 J jnl
Collecting Coupons with Random Initial Stake.
CoRR
Benjamin Doerr, Carola Doerr
2013 J jnl
Computing Minimum Cycle Bases in Weighted Partial 2-Trees in Linear Time
CoRR
Carola Doerr, G. Ramakrishna, Jens M. Schmidt
2013 B conf
Computing Minimum Cycle Bases in Weighted Partial 2-Trees in Linear Time.
WG
Carola Doerr, G. Ramakrishna, Jens M. Schmidt
2013 J jnl
Constructing Low Star Discrepancy Point Sets with Genetic Algorithms
CoRR
Carola Doerr, François-Michel De Rainville
2013 A conf
Constructing low star discrepancy point sets with genetic algorithms.
GECCO
Carola Doerr, François-Michel De Rainville
2013 A conf
Lessons from the black-box: fast crossover-based genetic algorithms.
GECCO
Benjamin Doerr, Carola Doerr, Franziska Ebel
2013 J jnl
Rumor Spreading in Random Evolving Graphs
CoRR
Andrea Clementi, Pierluigi Crescenzi, Carola Doerr, Pierre Fraigniaud, Marco Isopi, Alessandro Panconesi, Francesco Pasquale, Riccardo Silvestri
2013 A conf
Rumor Spreading in Random Evolving Graphs.
ESA
Andrea Clementi, Pierluigi Crescenzi, Carola Doerr, Pierre Fraigniaud, Marco Isopi, Alessandro Panconesi, Francesco Pasquale, Riccardo Silvestri
2013 — conf
The Query Complexity of Finding a Hidden Permutation.
Space-Efficient Data Structures, Streams, and Algorithms
Peyman Afshani, Manindra Agrawal, Benjamin Doerr, Carola Doerr, Kasper Green Larsen, Kurt Mehlhorn