Carola Doerr

Directrice de recherche CNRS Sorbonne Université LIP6

153

Documents

Affiliations actuelles

441569
541718
413221

Identifiants chercheurs

carola-doerr
0000-0002-4981-3227
IdRef : 232603383

Publications

	Tight Runtime Bounds for Static Unary Unbiased Evolutionary Algorithms on Linear Functions Carola Doerr , Duri Andrea Janett , Johannes Lengler GECCO '23: Genetic and Evolutionary Computation Conference, Jul 2023, Lisbon, Portugal. pp.1565-1574, ⟨10.1145/3583131.3590482⟩ Communication dans un congrès hal-04180577v1
	PS-AAS: Portfolio Selection for Automated Algorithm Selection in Black-Box Optimization Ana Kostovska , Gjorgjina Cenikj , Diederick Vermetten , Anja Jankovic , Ana Nikolikj International Conference on Automated Machine Learning (AutoML 2023), Sep 2023, Potsdam, Germany Communication dans un congrès hal-04242084v1
	Computing Star Discrepancies with Numerical Black-Box Optimization Algorithms François Clément , Diederick Vermetten , Jacob de Nobel , Alexandre D. Jesus , Luís Paquete GECCO '23: Genetic and Evolutionary Computation Conference, Jul 2023, Lisbon, Portugal. pp.1330-1338, ⟨10.1145/3583131.3590456⟩ Communication dans un congrès hal-04180578v1
	Using Automated Algorithm Configuration for Parameter Control Deyao Chen , Maxim Buzdalov , Carola Doerr , Nguyen Dang FOGA '23: Foundations of Genetic Algorithms XVII, Aug 2023, Potsdam, Germany. pp.38-49, ⟨10.1145/3594805.3607127⟩ Communication dans un congrès hal-04180594v1
	RF+clust for Leave-One-Problem-Out Performance Prediction Ana Nikolikj , Carola Doerr , Tome Eftimov Applications of Evolutionary Computation (EvoApplications 2023), Apr 2023, Brno, Czech Republic. pp.285-301, ⟨10.1007/978-3-031-30229-9_19⟩ Communication dans un congrès hal-04180591v1
	Algorithm Instance Footprint: Separating Easily Solvable and Challenging Problem Instances Ana Nikolikj , Sašo Džeroski , Mario Andrés Muñoz , Carola Doerr , Peter Korošec GECCO '23: Genetic and Evolutionary Computation Conference, Jul 2023, Lisbon, Portugal. pp.529-537, ⟨10.1145/3583131.3590424⟩ Communication dans un congrès hal-04180584v1
	Benchmarking and analyzing iterative optimization heuristics with IOHprofiler Carola Doerr , Hao Wang , Diederick Vermetten , Thomas Bäck , Jacob de Nobel GECCO '23 Companion: Companion Conference on Genetic and Evolutionary Computation, Jul 2023, Lisbon, Portugal. pp.938-945, ⟨10.1145/3583133.3595057⟩ Communication dans un congrès hal-04185070v1
	Using Knowledge Graphs for Performance Prediction of Modular Optimization Algorithms Ana Kostovska , Diederick Vermetten , Sašo Džeroski , Panče Panov , Tome Eftimov Applications of Evolutionary Computation (EvoApplications 2023), Apr 2023, Brno, Czech Republic. pp.253-268, ⟨10.1007/978-3-031-30229-9_17⟩ Communication dans un congrès hal-04180586v1
	DynamoRep: Trajectory-Based Population Dynamics for Classification of Black-box Optimization Problems Gjorgjina Cenikj , Gašper Petelin , Carola Doerr , Peter Korošec , Tome Eftimov GECCO '23: Genetic and Evolutionary Computation Conference, Jul 2023, Lisbon, Portugal. pp.813-821, ⟨10.1145/3583131.3590401⟩ Communication dans un congrès hal-04180581v1
	MA-BBOB: Many-Affine Combinations of BBOB Functions for Evaluating AutoML Approaches in Noiseless Numerical Black-Box Optimization Contexts Diederick Vermetten , Furong Ye , Thomas Bäck , Carola Doerr International Conference on Automated Machine Learning (AutoML 2023), Sep 2023, Potsdam, Germany Communication dans un congrès hal-04242054v1
	Self-Adjusting Weighted Expected Improvement for Bayesian Optimization Carolin Benjamins , Elena Raponi , Anja Jankovic , Carola Doerr , Marius Lindauer International Conference on Automated Machine Learning (AutoML 2023), Sep 2023, Potsdam, Germany Communication dans un congrès hal-04242077v1
	Comparison of Bayesian Optimization Algorithms for BBOB Problems in Dimensions 10 and 60 Maria Laura Santoni , Elena Raponi , Renato de Leone , Carola Doerr GECCO '23 Companion: Companion Conference on Genetic and Evolutionary Computation, ACM, Jul 2023, Lisbon, Portugal. pp.2390-2393, ⟨10.1145/3583133.3596314⟩ Communication dans un congrès hal-04184969v1
	Using Affine Combinations of BBOB Problems for Performance Assessment Diederick Vermetten , Furong Ye , Carola Doerr GECCO '23: Genetic and Evolutionary Computation Conference, Jul 2023, Lisbon, Portugal. pp.873-881, ⟨10.1145/3583131.3590412⟩ Communication dans un congrès hal-04180579v1
	Sensitivity Analysis of RF+clust for Leave-One-Problem-Out Performance Prediction Ana Nikolikj , Michal Pluháček , Carola Doerr , Peter Korošec , Tome Eftimov 2023 IEEE Congress on Evolutionary Computation (CEC), Jul 2023, Chicago, IL, United States. pp.1-8, ⟨10.1109/CEC53210.2023.10254146⟩ Communication dans un congrès hal-04242051v1
	High Dimensional Bayesian Optimization with Kernel Principal Component Analysis Kirill Antonov , Elena Raponi , Hao Wang , Carola Doerr 17th Proceedings of Parallel Problem Solving from Nature - (PPSN) 2022, Sep 2022, Dortmund, Germany. pp.118-131, ⟨10.1007/978-3-031-14714-2_9⟩ Communication dans un congrès hal-03740759v1
	Trajectory-based Algorithm Selection with Warm-starting Anja Jankovic , Diederick Vermetten , Ana Kostovska , Jacob de Nobel , Tome Eftimov 2022 IEEE Congress on Evolutionary Computation (CEC), Jul 2022, Padua, Italy. pp.1-8, ⟨10.1109/CEC55065.2022.9870222⟩ Communication dans un congrès hal-03774161v1
	Fast Re-Optimization of LeadingOnes with Frequent Changes Nina Bulanova , Arina Buzdalova , Carola Doerr 2022 IEEE Congress on Evolutionary Computation (CEC), Jul 2022, Padua, Italy. pp.1-8, ⟨10.1109/CEC55065.2022.9870400⟩ Communication dans un congrès hal-03774168v1
	SELECTOR: Selecting a Representative Benchmark Suite for Reproducible Statistical Comparison Gjorgjina Cenikj , Ryan Dieter Lang , Andries Petrus Engelbrecht , Carola Doerr , Peter Korošec GECCO '22: Genetic and Evolutionary Computation Conference, Jul 2022, Boston, United States. ⟨10.1145/3512290.3528809⟩ Communication dans un congrès hal-03718885v1
	Theory-inspired Parameter Control Benchmarks for Dynamic Algorithm Configuration André Biedenkapp , Nguyen Dang , Martin Krejca , Frank Hutter , Carola Doerr GECCO '22: Genetic and Evolutionary Computation Conference, Jul 2022, Boston, United States. pp.766--775, ⟨10.1145/3512290.3528846⟩ Communication dans un congrès hal-03646966v1
	PI is back! Switching Acquisition Functions in Bayesian Optimization Carolin Benjamins , Elena Raponi , Anja Jankovic , Koen van der Blom , Maria Laura Santoni 2022 NeurIPS Workshop on Gaussian Processes, Spatiotemporal Modeling, and Decision-making Systems, Dec 2022, New Orleans, United States Communication dans un congrès hal-03861120v1
	Improving Nevergrad's Algorithm Selection Wizard NGOpt through Automated Algorithm Configuration Risto Trajanov , Ana Nikolikj , Gjorgjina Cenikj , Fabien Teytaud , Mathurin Videau 17th Proceedings of Parallel Problem Solving from Nature - (PPSN) 2022, Sep 2022, Dortmund, Germany. pp.18-31, ⟨10.1007/978-3-031-14714-2_2⟩ Communication dans un congrès hal-03740762v1
	Non-Elitist Selection Can Improve the Performance of Irace Furong Ye , Diederick Vermetten , Carola Doerr , Thomas Bäck 17th Proceedings of Parallel Problem Solving from Nature - (PPSN) 2022, Sep 2022, Dortmund, Germany. pp.32-45, ⟨10.1007/978-3-031-14714-2_3⟩ Communication dans un congrès hal-03740761v1
	Analyzing the Impact of Undersampling on the Benchmarking and Configuration of Evolutionary Algorithms Diederick Vermetten , Hao Wang , Manuel López-Ibañez , Carola Doerr , Thomas Bäck GECCO '22: Genetic and Evolutionary Computation Conference, Jul 2022, Boston, United States. ⟨10.1145/3512290.3528799⟩ Communication dans un congrès hal-03718886v1
	Automated Algorithm Selection for Radar Network Configuration Quentin Renau , Johann Dreo , Alain Peres , Yann Semet , Carola Doerr GECCO '22: Genetic and Evolutionary Computation Conference, Jul 2022, Boston, United States. ⟨10.1145/3512290.3528825⟩ Communication dans un congrès hal-03718883v1
	Explainable Model-specific Algorithm Selection for Multi-Label Classification Ana Kostovska , Carola Doerr , Saso Dzeroski , Dragi Kocev , Pance Panov 2022 IEEE Symposium Series on Computational Intelligence (SSCI), Dec 2022, Singapore, Singapore. pp.39-46, ⟨10.1109/SSCI51031.2022.10022177⟩ Communication dans un congrès hal-04003128v1
	The Importance of Landscape Features for Performance Prediction of Modular CMA-ES Variants Ana Kostovska , Diederick Vermetten , Sašo Džeroski , Carola Doerr , Peter Korosec GECCO '22: Genetic and Evolutionary Computation Conference, Jul 2022, Boston, United States. ⟨10.1145/3512290.3528832⟩ Communication dans un congrès hal-03718887v1
	Towards Automated Design of Bayesian Optimization via Exploratory Landscape Analysis Carolin Benjamins , Anja Jankovic , Elena Raponi , Koen van der Blom , Marius Lindauer 6th Workshop on Meta-Learning at NeurIPS 2022, Dec 2022, New Orleans, United States Communication dans un congrès hal-03861124v1
	Per-run Algorithm Selection with Warm-starting using Trajectory-based Features Ana Kostovska , Anja Jankovic , Diederick Vermetten , Jacob de Nobel , Hao Wang 17th Proceedings of Parallel Problem Solving from Nature - (PPSN) 2022, 2022, Dortmund, Germany. pp.46-60, ⟨10.1007/978-3-031-14714-2_4⟩ Communication dans un congrès hal-03740760v1
	Personalizing Performance Regression Models to Black-Box Optimization Problems Tome Eftimov , Anja Jankovic , Gorjan Popovski , Carola Doerr , Peter Korošec Genetic and Evolutionary Computation Conference (GECCO 2021), Jul 2021, Lille, France. ⟨10.1145/3449639.3459407⟩ Communication dans un congrès hal-03233825v1
	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 Bäck Genetic and Evolutionary Computation Conference (GECCO 2021, Companion Material, Workshop), Jul 2021, Lille (en ligne), France. ⟨10.1145/3449726.3463167⟩ Communication dans un congrès hal-03233951v1
	Optimal Static Mutation Strength Distributions for the (1 + λ) Evolutionary Algorithm on OneMax Maxim Buzdalov , Carola Doerr Genetic and Evolutionary Computation Conference (GECCO 2021), Jul 2021, Lille, France. pp.660-668, ⟨10.1145/3449639.3459389⟩ Communication dans un congrès hal-03233796v1
	MATE: A Model-based Algorithm Tuning Engine - A proof of concept towards transparent feature-dependent parameter tuning using symbolic regression Mohamed El Yafrani , Marcella Scoczynski , Inkyung Sung , Markus Wagner , Carola Doerr Evolutionary Computation in Combinatorial Optimization (EvoCOP'21), Apr 2021, Sevilla (on line), Spain. pp.51-67, ⟨10.1007/978-3-030-72904-2_4⟩ Communication dans un congrès hal-03233689v1
	Leveraging Benchmarking Data for Informed One-Shot Dynamic Algorithm Selection Furong Ye , Carola Doerr , Thomas Bäck Genetic and Evolutionary Computation Conference (GECCO 2021, Companion Material), Jul 2021, Lille, France. ⟨10.1145/3449726.3459578⟩ Communication dans un congrès hal-03233915v1
	The Impact of Hyper-Parameter Tuning for Landscape-Aware Performance Regression and Algorithm Selection Anja Jankovic , Gorjan Popovski , Tome Eftimov , Carola Doerr Genetic and Evolutionary Computation Conference (GECCO 2021), Jul 2021, Lille, France. pp.687-696, ⟨10.1145/3449639.3459406⟩ Communication dans un congrès hal-03233811v1
	OPTION: OPTImization Algorithm Benchmarking ONtology Ana Kostovska , Diederick Vermetten , Carola Doerr , Saso Dzeroski , Panče Panov Genetic and Evolutionary Computation Conference (GECCO 2021, Companion Material), Jul 2021, Lille (on line), France. ⟨10.1145/3449726.3459579⟩ Communication dans un congrès hal-03233907v1
	Towards Feature-Based Performance Regression Using Trajectory Data Anja Jankovic , Tome Eftimov , Carola Doerr Applications of Evolutionary Computation (EvoApplications 2021), Apr 2021, Sevilla (on line), Spain. pp.601-617, ⟨10.1007/978-3-030-72699-7_38⟩ Communication dans un congrès hal-03233699v1
	Towards Large Scale Automated Algorithm Design by Integrating Modular Benchmarking Frameworks Amine Aziz-Alaoui , Carola Doerr , Johann Dreo Genetic and Evolutionary Computation Conference (GECCO 2021), Jul 2021, Lille, France. ⟨10.1145/3449726.3463155⟩ Communication dans un congrès hal-03233932v1
	Blending Dynamic Programming with Monte Carlo Simulation for Bounding the Running Time of Evolutionary Algorithms Kirill Antonov , Maxim Buzdalov , Arina Buzdalova , Carola Doerr IEEE Congress on Evolutionary Computation (CEC'21), Jun 2021, Krakow, Poland Communication dans un congrès hal-03233843v1
	Towards Explainable Exploratory Landscape Analysis: Extreme Feature Selection for Classifying BBOB Functions Quentin Renau , Johann Dréo , Carola Doerr , Benjamin Doerr Applications of Evolutionary Computation (EvoApplications 2021), Apr 2021, Sevilla (Virtual), Spain. pp.17-33, ⟨10.1007/978-3-030-72699-7_2⟩ Communication dans un congrès hal-03233676v1
	Dynamic control parameter choices in evolutionary computation Gregor Papa , Carola Doerr GECCO '20: Genetic and Evolutionary Computation Conference, Jul 2020, Cancún, Mexico. pp.927-956, ⟨10.1145/3377929.3389876⟩ Communication dans un congrès hal-02949721v1
	Towards Dynamic Algorithm Selection for Numerical Black-Box Optimization: Investigating BBOB as a Use Case Diederick Vermetten , Hao Wang , Thomas Bäck , Carola Doerr Genetic and Evolutionary Computation Conference (GECCO'20), Jul 2020, Cancun, Mexico. ⟨10.1145/3377930.3390189⟩ Communication dans un congrès hal-02871952v1
	Exploratory Landscape Analysis is Strongly Sensitive to the Sampling Strategy Quentin Renau , Carola Doerr , Johann Dreo , Benjamin Doerr Parallel Problem Solving from Nature – PPSN XVI (PPSN 2020), Sep 2020, Leiden, Netherlands. pp.139-153, ⟨10.1007/978-3-030-58115-2_10⟩ Communication dans un congrès hal-02935385v1
	Benchmarking a $$(\mu +\lambda )$$ Genetic Algorithm with Configurable Crossover Probability Furong Ye , Hao Wang , Carola Doerr , Thomas Back Parallel Problem Solving from Nature – PPSN XVI (PPSN 2020), Sep 2020, Leiden, Netherlands. pp.699-713, ⟨10.1007/978-3-030-58115-2_49⟩ Communication dans un congrès hal-02931254v1
	Evolving Sampling Strategies for One-Shot Optimization Tasks Jakob Bossek , Carola Doerr , Pascal Kerschke , Aneta Neumann , Frank Neumann Parallel Problem Solving from Nature – PPSN XVI (PPSN 2020), Sep 2020, Leiden, Netherlands. pp.111-124, ⟨10.1007/978-3-030-58112-1_8⟩ Communication dans un congrès hal-02935380v1
	Optimization of Chance-Constrained Submodular Functions Benjamin Doerr , Carola Doerr , Aneta Neumann , Frank Neumann , Andrew M Sutton AAAI-20 Thirty-Fourth AAAI Conference on Artificial Intelligence, Feb 2020, New York, United States Communication dans un congrès hal-02871943v1
	Integrated vs. Sequential Approaches for Selecting and Tuning CMA-ES Variants Diederick Vermetten , Hao Wang , Carola Doerr , Thomas Back ACM Genetic and Evolutionary Computation Conference (GECCO'20), ACM, Jul 2020, Cancun, Mexico. ⟨10.1145/3377930.3389831⟩ Communication dans un congrès hal-02871963v1
	Benchmarking and analyzing iterative optimization heuristics with IOHprofiler (GECCO'20 tutorial) Hao Wang , Carola Doerr , Ofer Shir , Thomas Bäck Proc. of Genetic and Evolutionary Computation Conference (GECCO'20, Companion material), Jul 2020, Cancún, Mexico. pp.1043-1054, ⟨10.1145/3377929.3389879⟩ Communication dans un congrès hal-02949725v1
	Landscape-Aware Fixed-Budget Performance Regression and Algorithm Selection for Modular CMA-ES Variants Anja Jankovic , Carola Doerr ACM Genetic and Evolutionary Computation Conference (GECCO'20), Jul 2020, Cancun, Mexico. ⟨10.1145/3377930.3390183⟩ Communication dans un congrès hal-02872816v1
	Initial Design Strategies and their Effects on Sequential Model-Based Optimization An Exploratory Case Study Based on BBOB Jakob Bossek , Carola Doerr , Pascal Kerschke Genetic and Evolutionary Computation Conference (GECCO'20), Jul 2020, Cancun, Mexico. ⟨10.1145/3377930.3390155⟩ Communication dans un congrès hal-02871959v1
	Fixed-Target Runtime Analysis Maxim Buzdalov , Benjamin Doerr , Carola Doerr , Dmitry Vinokurov GECCO 2020 - The Genetic and Evolutionary Computation Conference, Jul 2020, Cancun, Mexico Communication dans un congrès hal-02871956v1
	Mutation Rate Control in the (1 + λ) Evolutionary Algorithm with a Self-adjusting Lower Bound Kirill Antonov , Arina Buzdalova , Carola Doerr Mathematical Optimization Theory and Operations Research (MOTOR 2020), Jul 2020, Novosibirsk, Russia. pp.305-319, ⟨10.1007/978-3-030-58657-7_25⟩ Communication dans un congrès hal-02948754v1
	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 Parallel Problem Solving from Nature – PPSN XVI (PPSN 2020), Sep 2020, Leiden, Netherlands. pp.485-499, ⟨10.1007/978-3-030-58115-2_34⟩ Communication dans un congrès hal-02935399v1
	Optimal Mutation Rates for the $(1+\lambda )$ EA on OneMax Maxim Buzdalov , Carola Doerr Parallel Problem Solving from Nature – PPSN XVI (PPSN 2020), Sep 2020, Leiden, Netherlands. pp.574-587, ⟨10.1007/978-3-030-58115-2_40⟩ Communication dans un congrès hal-02935402v1
	Variance Reduction for Better Sampling in Continuous Domains Laurent Meunier , Carola Doerr , Jeremy Rapin , Olivier Teytaud Parallel Problem Solving from Nature – PPSN XVI (PPSN 2020), Sep 2020, Leiden, Netherlands. pp.154-168, ⟨10.1007/978-3-030-58112-1_11⟩ Communication dans un congrès hal-02935395v1
	High Dimensional Bayesian Optimization Assisted by Principal Component Analysis Elena Raponi , Hao Wang , Mariusz Bujny , Simonetta Boria , Carola Doerr Parallel Problem Solving from Nature – PPSN XVI (PPSN 2020), Sep 2020, Leiden, Netherlands. pp.169-183, ⟨10.1007/978-3-030-58112-1_12⟩ Communication dans un congrès hal-02935397v1
	Linear Matrix Factorization Embeddings for Single-objective Optimization Landscapes Tome Eftimov , Gorjan Popovski , Quentin Renau , Peter Korošec , Carola Doerr 2020 IEEE Symposium Series on Computational Intelligence (SSCI), Dec 2020, Canberra, Australia. pp.775-782, ⟨10.1109/SSCI47803.2020.9308180⟩ Communication dans un congrès hal-03117158v1
	Coupling the design of benchmark with algorithm in landscape-aware solver design Johann Dréo , Carola Doerr , Yann Semet Genetic and Evolutionary Computation Conference, Companion Material, Jul 2019, Prague, Czech Republic. pp.1419-1420, ⟨10.1145/3319619.3326821⟩ Communication dans un congrès hal-02179604v1
	Hyper-parameter tuning for the (1 + ( λ, λ )) GA Nguyen Dang , Carola Doerr Genetic and Evolutionary Computation Conference, Jul 2019, Prague, Czech Republic. pp.889-897, ⟨10.1145/3321707.3321725⟩ Communication dans un congrès hal-02175766v1
	Expressiveness and robustness of landscape features (student workshop paper) Quentin Renau , Johann Dréo , Carola Doerr , Benjamin Doerr Genetic and Evolutionary Computation Conference, Companion Material, Jul 2019, Prague, Czech Republic. pp.2048-2051, ⟨10.1145/3319619.3326913⟩ Communication dans un congrès hal-02179612v1
	Maximizing drift is not optimal for solving OneMax Nathan Buskulic , Carola Doerr Genetic and Evolutionary Computation Conference, Companion Material, Jul 2019, Prague, Czech Republic. pp.425-426, ⟨10.1145/3319619.3321952⟩ Communication dans un congrès hal-02179613v1
	Dynamic parameter choices in evolutionary computation (tutorial at GECCO 2019) Carola Doerr Genetic and Evolutionary Computation Conference, Companion Material, Jul 2019, Prague, Czech Republic. pp.890-922, ⟨10.1145/3319619.3323372⟩ Communication dans un congrès hal-02179606v1
	Online selection of CMA-ES variants Diederick Vermetten , Sander van Rijn , Thomas Back , Carola Doerr The Genetic and Evolutionary Computation Conference, Jul 2019, Prague, Czech Republic. pp.951-959, ⟨10.1145/3321707.3321803⟩ Communication dans un congrès hal-02175767v1
	Self-adjusting mutation rates with provably optimal success rules Benjamin Doerr , Carola Doerr , Johannes Lengler GECCO 2019 - The Genetic and Evolutionary Computation Conference, Jul 2019, Prague, Czech Republic. pp.1479-1487, ⟨10.1145/3321707.3321733⟩ Communication dans un congrès hal-02175768v1
	Adaptive landscape analysis (student workshop paper) Anja Janković , Carola Doerr Genetic and Evolutionary Computation Conference, Companion Material, Jul 2019, Prague, Czech Republic. pp.2032-2035, ⟨10.1145/3319619.3326905⟩ Communication dans un congrès hal-02179610v1
	Making a case for (Hyper-)parameter tuning as benchmark problems Carola Doerr , Johann Dréo , Pascal Kerschke Genetic and Evolutionary Computation Conference, Companion Material, Jul 2019, Prague, Czech Republic. pp.1755-1764, ⟨10.1145/3319619.3326857⟩ Communication dans un congrès hal-02179587v1
	Interpolating Local and Global Search by Controlling the Variance of Standard Bit Mutation Furong Ye , Carola Doerr , Thomas Back 2019 IEEE Congress on Evolutionary Computation (CEC), Jun 2019, Wellington, New Zealand. pp.2292-2299, ⟨10.1109/CEC.2019.8790107⟩ Communication dans un congrès hal-02298570v1
	Offspring Population Size Matters when Comparing Evolutionary Algorithms with Self-Adjusting Mutation Rates Anna Rodionova , Kirill Antonov , Arina Buzdalova , Carola Doerr Genetic and Evolutionary Computation Conference, Jul 2019, Prague, Czech Republic. pp.855-863, ⟨10.1145/3321707.3321827⟩ Communication dans un congrès hal-02439392v1
	Fast re-optimization via structural diversity Benjamin Doerr , Carola Doerr , Frank Neumann The Genetic and Evolutionary Computation Conference, Jul 2019, Prague, Czech Republic. pp.233-241, ⟨10.1145/3321707.3321731⟩ Communication dans un congrès hal-02175763v1
	Fixed-target runtime analysis of the (1 + 1) EA with resampling (student workshop paper) Dmitry Vinokurov , Maxim Buzdalov , Arina Buzdalov , Benjamin Doerr , Carola Doerr Genetic and Evolutionary Computation Conference, Companion Material, Jul 2019, Prague, Czech Republic. pp.2068-2071, ⟨10.1145/3319619.3326906⟩ Communication dans un congrès hal-02179611v1
	Benchmarking discrete optimization heuristics with IOHprofiler Carola Doerr , Furong Ye , Naama Horesh , Hao Wang , Ofer Shir Genetic and Evolutionary Computation Conference, Companion Material, Jul 2019, Prague, Czech Republic. pp.1798-1806, ⟨10.1145/3319619.3326810⟩ Communication dans un congrès hal-02179605v1
	Illustrating the trade-off between time, quality, and success probability in heuristic search Ivan Ignashov , Arina Buzdalova , Maxim Buzdalov , Carola Doerr Genetic and Evolutionary Computation Conference, Companion Material, Jul 2019, Prague, Czech Republic. pp.1807-1812, ⟨10.1145/3319619.3326895⟩ Communication dans un congrès hal-02179607v1
	Bayesian performance analysis for black-box optimization benchmarking Borja Calvo , Ofer Shir , Josu Ceberio , Carola Doerr , Hao Wang Genetic and Evolutionary Computation Conference GECCO 2019, Jul 2019, Prague, Czech Republic. pp.1789-1797, ⟨10.1145/3319619.3326888⟩ Communication dans un congrès hal-02179609v1
	Towards an Adaptive CMA-ES Configurator Sander van Rijn , Carola Doerr , Thomas Back Parallel Problem Solving from Nature – PPSN XV. PPSN 2018., Sep 2018, Coimbra, Portugal. pp.54-65, ⟨10.1007/978-3-319-99253-2_5⟩ Communication dans un congrès hal-01921060v1
	A Simple Proof for the Usefulness of Crossover in Black-Box Optimization Carola Doerr , Eduardo Carvalho Pinto PPSN 2018: Parallel Problem Solving from Nature – PPSN XV, Sep 2018, Coimbra, Portugal. pp.29-41, ⟨10.1007/978-3-319-99259-4_3⟩ Communication dans un congrès hal-01921063v1
	Sensitivity of Parameter Control Mechanisms with Respect to Their Initialization Carola Doerr , Markus Wagner International Conference on Parallel Problem Solving from Nature (PPSN 2018), Sep 2018, Coimbra, Portugal. pp.360-372, ⟨10.1007/978-3-319-99259-4_29⟩ Communication dans un congrès hal-01921055v1
	Dynamic parameter choices in evolutionary computation Carola Doerr GECCO '18 - Genetic and Evolutionary Computation Conference, Jul 2018, Kyoto, Japan. pp.800-830, ⟨10.1145/3205651.3207851⟩ Communication dans un congrès hal-01921081v1
	Simple on-the-fly parameter selection mechanisms for two classical discrete black-box optimization benchmark problems Carola Doerr , Markus Wagner GECCO '18 - Genetic and Evolutionary Computation Conference, Jul 2018, Kyoto, Japan. pp.943-950, ⟨10.1145/3205455.3205560⟩ Communication dans un congrès hal-01921078v1
	Towards a theory-guided benchmarking suite for discrete black-box optimization heuristics Carola Doerr , Furong Ye , Sander van Rijn , Hao Wang , Thomas Bäck GECCO '18 - Genetic and Evolutionary Computation Conference, Jul 2018, Kyoto, France. pp.951-958, ⟨10.1145/3205455.3205621⟩ Communication dans un congrès hal-01921076v1
	Compiling a benchmarking test-suite for combinatorial black-box optimization Ofer Shir , Carola Doerr , Thomas Bäck GECCO '18 - Genetic and Evolutionary Computation Conference Companion, Jul 2018, Kyoto, Japan. pp.1753-1760, ⟨10.1145/3205651.3208251⟩ Communication dans un congrès hal-01921068v1
	Discrepancy-based evolutionary diversity optimization Aneta Neumann , Wanru Gao , Carola Doerr , Frank Neumann , Markus Wagner GECCO '18 - Genetic and Evolutionary Computation Conference, Jul 2018, Kyoto, France. pp.991-998, ⟨10.1145/3205455.3205532⟩ Communication dans un congrès hal-01921073v1
	Unknown solution length problems with no asymptotically optimal run time Benjamin Doerr , Carola Doerr , Timo Kötzing Genetic and Evolutionary Computation Conference (GECCO'17), Jul 2017, Berlin, Germany. pp.1367-1374, ⟨10.1145/3071178.3071233⟩ Communication dans un congrès hal-01668270v1
	Non-static parameter choices in evolutionary computation Carola Doerr GECCO '17 - Genetic and Evolutionary Computation Conference, Jul 2017, Berlin, Germany. pp.736-761, ⟨10.1145/3067695.3067707⟩ Communication dans un congrès hal-01921088v1
	Towards a More Practice-Aware Runtime Analysis Carola Doerr , Eduardo Carvalho Pinto EA 2017 - 13th International Conference on Artificial Evolution, Oct 2017, Paris, France. pp.298-305 Communication dans un congrès hal-01668274v1
	The (1+1) Elitist Black-Box Complexity of LeadingOnes Carola Doerr , Johannes Lengler GECCO 2016 - Genetic and Evolutionary Computation Conference, Jul 2016, Denver, United States. pp.1131-1138, ⟨10.1145/2908812.2908922⟩ Communication dans un congrès hal-01363923v1
	The Right Mutation Strength for Multi-Valued Decision Variables Benjamin Doerr , Carola Doerr , Timo Kötzing GECCO 2016 - Genetic and Evolutionary Computation Conference, Jul 2016, Denver, United States. pp.1115-1122, ⟨10.1145/2908812.2908891⟩ Communication dans un congrès hal-01363932v1
	Optimal Parameter Choices via Precise Black-Box Analysis Benjamin Doerr , Carola Doerr , Jing Yang GECCO 2016 - Genetic and Evolutionary Computation Conference, Jul 2016, Denver, United States. pp.1123-1130, ⟨10.1145/2908812.2908950⟩ Communication dans un congrès hal-01363930v1
	Elitist Black-Box Models: Analyzing the Impact of Elitist Selection on the Performance of Evolutionary Algorithms Carola Doerr , Johannes Lengler GECCO '15 - 2015 Annual Conference on Genetic and Evolutionary Computation, Jul 2015, Madrid, Spain. pp.839-846, ⟨10.1145/2739480.2754654⟩ Communication dans un congrès hal-01272867v1
	Solving Problems with Unknown Solution Length at (Almost) No Extra Cost Benjamin Doerr , Carola Doerr , Timo Kötzing GECCO '15 - 2015 Annual Conference on Genetic and Evolutionary Computation, Jul 2015, Madrid, Spain. pp.831-838, ⟨10.1145/2739480.2754681⟩ Communication dans un congrès hal-01272866v1
	Optimal Parameter Choices Through Self-Adjustment: Applying the 1/5-th Rule in Discrete Settings Benjamin Doerr , Carola Doerr GECCO '15 - 2015 Annual Conference on Genetic and Evolutionary Computation, Jul 2015, Madrid, Spain. pp.1335-1342, ⟨10.1145/2739480.2754684⟩ Communication dans un congrès hal-01272868v1
	A Tight Runtime Analysis of the (1+(λ, λ)) Genetic Algorithm on OneMax Benjamin Doerr , Carola Doerr GECCO '15 - 2015 Annual Conference on Genetic and Evolutionary Computation, Jul 2015, Madrid, Spain. pp.1423-1430, ⟨10.1145/2739480.2754683⟩ Communication dans un congrès hal-01272869v1
	OneMax in Black-Box Models with Several Restrictions Carola Doerr , Johannes Lengler GECCO '15 - 2015 Annual Conference on Genetic and Evolutionary Computation, Jul 2015, Madrid, Spain. pp.1431-1438, ⟨10.1145/2739480.2754678⟩ Communication dans un congrès hal-01272873v1
	Money for Nothing: Speeding Up Evolutionary Algorithms Through Better Initialization Axel de Perthuis de Laillevault , Benjamin Doerr , Carola Doerr GECCO '15 - 2015 Annual Conference on Genetic and Evolutionary Computation, Jul 2015, Madrid, Spain. pp.815-822, ⟨10.1145/2739480.2754760⟩ Communication dans un congrès hal-01272863v1
	Black-box complexity Benjamin Doerr , Carola Doerr Proceeding of the fifteenth annual conference companion, Jul 2013, Amsterdam, Netherlands. ⟨10.1145/2464576.2482680⟩ Communication dans un congrès hal-01921119v1
	Playing mastermind with many colors Benjamin Doerr , Reto Spoehel , Thomas Henning , Carola Winzen Proceedings of the twenty-fourth annual ACM-SIAM symposium on Discrete algorithms (SODA'13), Jan 2013, New Orleans, United States Communication dans un congrès hal-01797914v1
	Rumor Spreading in Random Evolving Graphs Andrea Clementi , Pierluigi Crescenzi , Carola Doerr , Pierre Fraigniaud , Marco Isopi 21st Annual European Symposium on Algorithms - ESA 2013, Sep 2013, Sophia Antipolis, France. pp.325-336, ⟨10.1007/978-3-642-40450-4_28⟩ Communication dans un congrès hal-00922696v2
	Computing Minimum Cycle Bases in Weighted Partial 2-Trees in Linear Time Carola Doerr , Jens M. Schmidt , G. Ramakrishna WG 2013 - 39th International Workshop on Graph-Theoretic Concepts in Computer Science, Jun 2013, Luebeck, Germany. pp.225-236, ⟨10.1007/978-3-642-45043-3_20⟩ Communication dans un congrès hal-01086546v1
	Diffusion probabiliste dans les réseaux dynamiques Adrea Clementi , Pierluigi Crescenzi , Carola Doerr , Pierre Fraigniaud , Francesco Pasquale 15èmes Rencontres Francophones sur les Aspects Algorithmiques des Télécommunications (AlgoTel), May 2013, Pornic, France. pp.1-4 Communication dans un congrès hal-00818369v1
	Lessons from the black-box: fast crossover-based genetic algorithms Benjamin Doerr , Carola Doerr , Franziska Ebel Proceeding of the fifteenth annual conference on Genetic and Evolutionary Computation, Jul 2013, Amsterdam, Netherlands. ⟨10.1145/2463372.2463480⟩ Communication dans un congrès hal-01797913v1
	Constructing low star discrepancy point sets with genetic algorithms Carola Doerr , François-Michel de Rainville Proceeding of the fifteenth annual conference on Genetic and evolutionary computation, Jul 2013, Amsterdam, Netherlands. ⟨10.1145/2463372.2463469⟩ Communication dans un congrès hal-01797912v1
	Playing Mastermind With Constant-Size Memory Benjamin Doerr , Carola Winzen STACS'12 (29th Symposium on Theoretical Aspects of Computer Science), Feb 2012, Paris, France. pp.441-452 Communication dans un congrès hal-00678182v1

	IOHexperimenter: Benchmarking Platform for Iterative Optimization Heuristics Jacob de Nobel , Furong Ye , Diederick Vermetten , Hao Wang , Carola Doerr Evolutionary Computation, In press, pp.1-6. ⟨10.1162/evco_a_00342⟩ Article dans une revue hal-04180576v1
	OPTION: OPTImization Algorithm Benchmarking ONtology Ana Kostovska , Diederick Vermetten , Carola Doerr , Saso Dzeroski , Tome Eftimov IEEE Transactions on Evolutionary Computation, 2023, 27 (6), pp.1618-1632. ⟨10.1109/TEVC.2022.3232844⟩ Article dans une revue hal-04180573v1
	Run Time Analysis for Random Local Search on Generalized Majority Functions Carola Doerr , Martin S. Krejca IEEE Transactions on Evolutionary Computation, 2023, 27 (5), pp.1385 - 1397. ⟨10.1109/TEVC.2022.3216349⟩ Article dans une revue hal-03904182v1
	Optimizing With Low Budgets: A Comparison On the Black-Box Optimization Benchmarking Suite and OpenAI Gym Elena Raponi , Nathanaël Carraz Rakotonirina , Jérémy Rapin , Carola Doerr , Olivier Teytaud IEEE Transactions on Evolutionary Computation, In press, pp.1-1. ⟨10.1109/TEVC.2023.3346788⟩ Article dans une revue hal-04370224v1
	Automated Configuration of Genetic Algorithms by Tuning for Anytime Performance Furong Ye , Carola Doerr , Hao Wang , Thomas Back IEEE Transactions on Evolutionary Computation, 2022, 26 (6), pp.1526 - 1538. ⟨10.1109/TEVC.2022.3159087⟩ Article dans une revue hal-03614648v1
	IOHanalyzer: Detailed Performance Analyses for Iterative Optimization Heuristics Hao Wang , Diederick Vermetten , Furong Ye , Carola Doerr , Thomas Bäck ACM Transactions on Evolutionary Learning and Optimization, 2022, 2 (1), pp.3:1--3:29. ⟨10.1145/3510426⟩ Article dans une revue hal-03520666v1
	Star Discrepancy Subset Selection: Problem Formulation and Efficient Approaches for Low Dimensions François Clément , Carola Doerr , Luís Paquete Journal of Complexity, 2022, 70, pp.101645. ⟨10.1016/j.jco.2022.101645⟩ Article dans une revue hal-03520656v1
	Black-Box Optimization Revisited: Improving Algorithm Selection Wizards through Massive Benchmarking Laurent Meunier , Herilalaina Rakotoarison , Pak Kan Wong , Baptiste Roziere , Jeremy Rapin IEEE Transactions on Evolutionary Computation, 2022, 26 (3), ⟨10.1109/TEVC.2021.3108185⟩ Article dans une revue hal-03154019v1
	Guest Editorial Special Issue on Benchmarking Sampling-Based Optimization Heuristics: Methodology and Software Thomas Bäck , Carola Doerr , Bernhard Sendhoff , Thomas Stützle IEEE Transactions on Evolutionary Computation, 2022, 26 (6), pp.1202-1205. ⟨10.1109/TEVC.2022.3223292⟩ Article dans une revue hal-04180572v1
	Fixed-Target Runtime Analysis Maxim Buzdalov , Benjamin Doerr , Carola Doerr , Dmitry Vinokurov Algorithmica, 2022, 84 (6), pp.1762--1793. ⟨10.1007/s00453-021-00881-0⟩ Article dans une revue hal-03377095v1
	Maximizing Drift is Not Optimal for Solving OneMax Nathan Buskulic , Carola Doerr Evolutionary Computation, 2021, pp.1-20. ⟨10.1162/evco_a_00290⟩ Article dans une revue hal-03233719v1
	Self-Adjusting Mutation Rates with Provably Optimal Success Rules Benjamin Doerr , Carola Doerr , Johannes Lengler Algorithmica, 2021, 83 (10), pp.3108-3147. ⟨10.1007/s00453-021-00854-3⟩ Article dans une revue hal-03377092v1
	Theory of Randomized Optimization Heuristics (Report of Dagstuhl Seminar 19431) Carola Doerr , Carlos Fonseca , Tobias Friedrich , Xin Yao Dagstuhl Reports, 2020, 9 (10), pp.61--94. ⟨10.4230/DagRep.9.10.61⟩ Article dans une revue hal-03006416v1
	Benchmarking discrete optimization heuristics with IOHprofiler Carola Doerr , Furong Ye , Naama Horesh , Hao Wang , Ofer Shir Applied Soft Computing, 2020, 88, pp.106027. ⟨10.1016/j.asoc.2019.106027⟩ Article dans une revue hal-02436287v1
	Optimal parameter choices via precise black-box analysis Benjamin Doerr , Carola Doerr , Jing Yang Theoretical Computer Science, 2020, 801, pp.1-34. ⟨10.1016/j.tcs.2019.06.014⟩ Article dans une revue hal-02175769v1
	Preface to the Special Issue on Theory of Genetic and Evolutionary Computation Carola Doerr , Dirk Sudholt Algorithmica, 2019, 81 (2), pp.589-592. ⟨10.1007/s00453-018-00543-8⟩ Article dans une revue hal-03286701v1
	The query complexity of a permutation-based variant of Mastermind Peyman Afshani , Manindra Agrawal , Benjamin Doerr , Carola Doerr , Kasper Green Larsen Discrete Applied Mathematics, 2019, ⟨10.1016/j.dam.2019.01.007⟩ Article dans une revue hal-02077639v1
	Solving Problems with Unknown Solution Length at Almost No Extra Cost Benjamin Doerr , Carola Doerr , Timo Kötzing Algorithmica, 2019, 81, pp.703-748. ⟨10.1007/s00453-018-0477-7⟩ Article dans une revue hal-01921042v1
	The (1+1) Elitist Black-Box Complexity of LeadingOnes Carola Doerr , Johannes Lengler Algorithmica, 2018, 80, pp.1579-1603. ⟨10.1007/s00453-017-0304-6⟩ Article dans une revue hal-01668264v1
	Static and Self-Adjusting Mutation Strengths for Multi-valued Decision Variables Benjamin Doerr , Carola Doerr , Timo Kötzing Algorithmica, 2018, 80, pp.1732-1768. ⟨10.1007/s00453-017-0341-1⟩ Article dans une revue hal-01668260v1
	Optimal Static and Self-Adjusting Parameter Choices for the ( 1 + ( λ , λ ) ) Genetic Algorithm Benjamin Doerr , Carola Doerr Algorithmica, 2018, 80, pp.1658-1709. ⟨10.1007/s00453-017-0354-9⟩ Article dans une revue hal-01668262v1
	Theory of Randomized Optimization Heuristics (Dagstuhl Seminar 17191) Carola Doerr , Christian Igel , Lothar Thiele , Xin Yao Dagstuhl Reports, 2017, 7 (5), pp.22--55. ⟨10.4230/DagRep.7.5.22⟩ Article dans une revue hal-01669706v1
	Preface to the Special Issue on Theory of Genetic and Evolutionary Computation Carola Doerr , Francisco Chicano Algorithmica, 2017, 78 (2), pp.558 - 560. ⟨10.1007/s00453-017-0280-x⟩ Article dans une revue hal-01668255v1
	Playing Mastermind with Many Colors Benjamin Doerr , Carola Doerr , Reto Spoehel , Henning Thomas Journal of the ACM (JACM), 2016, 63, ⟨10.1145/2987372⟩ Article dans une revue hal-01481969v1
	Unbiased Black-Box Complexities of Jump Functions (Journal version) Benjamin Doerr , Carola Doerr , Timo Kötzing Evolutionary Computation, 2015, 23 (4), pp.641-670. ⟨10.1162/EVCO_a_00158⟩ Article dans une revue hal-01272855v1
	From black-box complexity to designing new genetic algorithms Benjamin Doerr , Carola Doerr , Franziska Ebel Theoretical Computer Science, 2015, 567, pp.87-104 Article dans une revue hal-01272858v1
	Reducing the arity in unbiased black-box complexity Benjamin Doerr , Carola Doerr Theoretical Computer Science, 2014, 545, pp.108-121. ⟨10.1016/j.tcs.2013.05.004⟩ Article dans une revue hal-01086516v1
	The Price of Anarchy for Selfish Ring Routing is Two Xujin Chen , Benjamin Doerr , Carola Doerr , Xiaodong Hu , Ma Weidong ACM Transactions on Economics and Computation, 2014, 2, pp.8. ⟨10.1145/2548545⟩ Article dans une revue hal-01086519v1
	Black-box complexities of combinatorial problems Benjamin Doerr , Timo Kötzing , Johannes Lengler , Carola Winzen Theoretical Computer Science, 2013, 471, pp.84-106. ⟨10.1016/j.tcs.2012.10.039⟩ Article dans une revue hal-01086551v1
	Direction-reversing quasi-random rumor spreading with restarts Carola Winzen Information Processing Letters, 2013, 113, pp.921-926. ⟨10.1016/j.ipl.2013.09.006⟩ Article dans une revue hal-01086550v1
	Mutation Rate Matters Even When Optimizing Monotonic Functions Benjamin Doerr , Thomas Jansen , Dirk Sudholt , Carola Winzen , Christine Zarges Evolutionary Computation, 2013, 21, pp.1-27. ⟨10.1162/EVCO_a_00055⟩ Article dans une revue hal-01086549v1
	Multiplicative Drift Analysis Benjamin Doerr , Daniel Johannsen , Carola Winzen Algorithmica, 2012, 64 (4), pp.673 - 697. ⟨10.1007/s00453-012-9622-x⟩ Article dans une revue hal-01797908v1
	Memory-restricted black-box complexity of OneMax Benjamin Doerr , Carola Winzen Information Processing Letters, 2012, 112 (1-2), pp.32 - 34. ⟨10.1016/j.ipl.2011.10.004⟩ Article dans une revue hal-01797910v1
	A New Randomized Algorithm to Approximate the Star Discrepancy Based on Threshold Accepting Michael Gnewuch , Magnus Wahlström , Carola Winzen SIAM Journal on Numerical Analysis, 2012, 50 (2), pp.781 - 807. ⟨10.1137/110833865⟩ Article dans une revue hal-01797907v1
	Non-existence of linear universal drift functions Benjamin Doerr , Daniel Johannsen , Carola Winzen Theoretical Computer Science, 2012, 436, pp.71 - 86. ⟨10.1016/j.tcs.2012.01.048⟩ Article dans une revue hal-01797909v1
	Finding optimal volume subintervals with k points and calculating the star discrepancy are NP-hard problems Michael Gnewuch , Anand Srivastav , Carola Winzen Journal of Complexity, 2009, 25 (2), pp.115 - 127. ⟨10.1016/j.jco.2008.10.001⟩ Article dans une revue hal-01797911v1

	Assessing the Generalizability of a Performance Predictive Model Ana Nikolikj , Gjorgjina Cenikj , Gordana Ispirova , Diederick Vermetten , Ryan Dieter Lang GECCO '23 Companion: Companion Conference on Genetic and Evolutionary Computation, Jul 2023, Lisbon, Portugal. ACM, GECCO '23 Companion: Proceedings of the Companion Conference on Genetic and Evolutionary Computation, pp.311-314, 2023, ⟨10.1145/3583133.3590617⟩ Poster de conférence hal-04180600v1
	Towards Self-Adjusting Weighted Expected Improvement for Bayesian Optimization Carolin Benjamins , Elena Raponi , Anja Jankovic , Carola Doerr , Marius Lindauer GECCO '23 Companion: Companion Conference on Genetic and Evolutionary Computation, Jul 2023, Lisbon, Portugal. ACM, GECCO '23 Companion: Proceedings of the Companion Conference on Genetic and Evolutionary Computation, pp.483-486, 2023, ⟨10.1145/3583133.3590753⟩ Poster de conférence hal-04180598v1
	Comparing Algorithm Selection Approaches on Black-Box Optimization Problems Ana Kostovska , Anja Jankovic , Diederick Vermetten , Sašo Džeroski , Tome Eftimov GECCO '23 Companion: Companion Conference on Genetic and Evolutionary Computation, Jul 2023, Lisbon, Portugal. ACM, GECCO '23 Companion: Proceedings of the Companion Conference on Genetic and Evolutionary Computation, pp.495-498, 2023, ⟨10.1145/3583133.3590697⟩ Poster de conférence hal-04180599v1
	Using Irace, Paradiseo and IOHprofiler for Large-Scale Algorithm Configuration Johann Dreo , Carola Doerr , Amine Aziz-Alaoui , Alix Zheng 8th COSEAL workshop, Sep 2021, Online, France. 2021 Poster de conférence hal-04110704v1

	Benchmarking and analyzing iterative optimization heuristics with IOHprofiler (GECCO'22 tutorial slides) Carola Doerr , Hao Wang , Diederick Vermetten , Thomas Bäck , Jacob de Nobel 2022, ⟨10.1145/3520304.3533665⟩ Autre publication scientifique hal-03718889v1
	Optimisation Inspirée par la Nature Carola Doerr 2018 Autre publication scientifique hal-01921103v1
	Theory for Non-Theoreticians (Tutorial at ACM GECCO 2016) Benjamin Doerr , Carola Doerr 2016, ⟨10.1145/2908961.2926982⟩ Autre publication scientifique hal-01363939v1
	Women@GECCO 2016 Chairs' Welcome Carola Doerr , Julia Handl , Emma Hart , Gabriela Ochoa , Amarda Shehu 2016, ⟨10.1145/2908961.2931744⟩ Autre publication scientifique hal-01363950v1
	Women@GECCO 2014 Una-May O'Reilly , Anna Esparcia-Alcazar , Anne Auger , Carola Doerr , Aniko Ekart 2014, pp.2. ⟨10.1145/2598394.2611386⟩ Autre publication scientifique hal-01086538v1
	Black-box complexity: from complexity theory to playing Mastermind Benjamin Doerr , Carola Doerr 2014, pp.617-640. ⟨10.1145/2598394.2605352⟩ Autre publication scientifique hal-01086524v1

	Proceedings of the 15th ACM/SIGEVO Conference on Foundations of Genetic Algorithms Tobias Friedrich , Carola Doerr , Dirk V. Arnold ACM Press, 2019, ⟨10.1145/3299904⟩ Ouvrages hal-02298571v1

	Parallel Problem Solving from Nature - PPSN XVI - 16th International Conference, PPSN 2020, Leiden, The Netherlands, September 5-9, 2020, Proceedings, Part I Thomas Bäck , Mike Preuss , André Deutz , Hao Wang , Carola Doerr PPSN XVI - 16th International Conference on Parallel Problem Solving from Nature, Sep 2020, Leiden, Netherlands. 12269, Springer, 2020, Lecture Notes in Computer Science, ⟨10.1007/978-3-030-58112-1⟩ Proceedings/Recueil des communications hal-02931252v1
	Parallel Problem Solving from Nature - PPSN XVI - 16th International Conference, PPSN 2020, Leiden, The Netherlands, September 5-9, 2020, Proceedings, Part II Thomas Bäck , Mike Preuss , André Deutz , Hao Wang , Carola Doerr PPSN XVI - 16th International Conference on Parallel Problem Solving from Nature, Sep 2020, Leiden, Netherlands. 12270, Springer, 2020, Lecture Notes in Computer Science, ⟨10.1007/978-3-030-58115-2⟩ Proceedings/Recueil des communications hal-02931251v1

	Theory of Parameter Control for Discrete Black-Box Optimization: Provable Performance Gains Through Dynamic Parameter Choices Benjamin Doerr , Carola Doerr Theory of Evolutionary Computation, Springer, pp.271-321, 2020, ⟨10.1007/978-3-030-29414-4_6⟩ Chapitre d'ouvrage hal-02436293v1
	Complexity Theory for Discrete Black-Box Optimization Heuristics Carola Doerr Theory of Evolutionary Computation, pp.133-212, 2019, ⟨10.1007/978-3-030-29414-4_3⟩ Chapitre d'ouvrage hal-02436290v1
	Probabilistic Lower Discrepancy Bounds for Latin Hypercube Samples Benjamin Doerr , Carola Doerr , Michael Gnewuch Contemporary Computational Mathematics - A Celebration of the 80th Birthday of Ian Sloan, 2018, 978-3-319-72455-3 Chapitre d'ouvrage hal-01668257v1

	Theory of Iterative Optimization Heuristics: From Black-Box Complexity over Algorithm Design to Parameter Control Carola Doerr Neural and Evolutionary Computing [cs.NE]. Sorbonne Université, 2020 HDR tel-03168778v1

Carola Doerr

Publications

Tight Runtime Bounds for Static Unary Unbiased Evolutionary Algorithms on Linear Functions

PS-AAS: Portfolio Selection for Automated Algorithm Selection in Black-Box Optimization

Computing Star Discrepancies with Numerical Black-Box Optimization Algorithms

Using Automated Algorithm Configuration for Parameter Control

RF+clust for Leave-One-Problem-Out Performance Prediction

Algorithm Instance Footprint: Separating Easily Solvable and Challenging Problem Instances

Benchmarking and analyzing iterative optimization heuristics with IOHprofiler

Using Knowledge Graphs for Performance Prediction of Modular Optimization Algorithms

DynamoRep: Trajectory-Based Population Dynamics for Classification of Black-box Optimization Problems

MA-BBOB: Many-Affine Combinations of BBOB Functions for Evaluating AutoML Approaches in Noiseless Numerical Black-Box Optimization Contexts

Self-Adjusting Weighted Expected Improvement for Bayesian Optimization

Comparison of Bayesian Optimization Algorithms for BBOB Problems in Dimensions 10 and 60

Using Affine Combinations of BBOB Problems for Performance Assessment

Sensitivity Analysis of RF+clust for Leave-One-Problem-Out Performance Prediction

High Dimensional Bayesian Optimization with Kernel Principal Component Analysis

Trajectory-based Algorithm Selection with Warm-starting

Fast Re-Optimization of LeadingOnes with Frequent Changes

SELECTOR: Selecting a Representative Benchmark Suite for Reproducible Statistical Comparison

Theory-inspired Parameter Control Benchmarks for Dynamic Algorithm Configuration

PI is back! Switching Acquisition Functions in Bayesian Optimization

Improving Nevergrad's Algorithm Selection Wizard NGOpt through Automated Algorithm Configuration

Non-Elitist Selection Can Improve the Performance of Irace

Analyzing the Impact of Undersampling on the Benchmarking and Configuration of Evolutionary Algorithms

Automated Algorithm Selection for Radar Network Configuration

Explainable Model-specific Algorithm Selection for Multi-Label Classification

The Importance of Landscape Features for Performance Prediction of Modular CMA-ES Variants

Towards Automated Design of Bayesian Optimization via Exploratory Landscape Analysis

Per-run Algorithm Selection with Warm-starting using Trajectory-based Features

Personalizing Performance Regression Models to Black-Box Optimization Problems

Tuning as a Means of Assessing the Benefits of New Ideas in Interplay with Existing Algorithmic Modules

Optimal Static Mutation Strength Distributions for the (1 + λ) Evolutionary Algorithm on OneMax

MATE: A Model-based Algorithm Tuning Engine - A proof of concept towards transparent feature-dependent parameter tuning using symbolic regression

Leveraging Benchmarking Data for Informed One-Shot Dynamic Algorithm Selection

The Impact of Hyper-Parameter Tuning for Landscape-Aware Performance Regression and Algorithm Selection

OPTION: OPTImization Algorithm Benchmarking ONtology

Towards Feature-Based Performance Regression Using Trajectory Data

Towards Large Scale Automated Algorithm Design by Integrating Modular Benchmarking Frameworks

Blending Dynamic Programming with Monte Carlo Simulation for Bounding the Running Time of Evolutionary Algorithms

Towards Explainable Exploratory Landscape Analysis: Extreme Feature Selection for Classifying BBOB Functions

Dynamic control parameter choices in evolutionary computation

Towards Dynamic Algorithm Selection for Numerical Black-Box Optimization: Investigating BBOB as a Use Case

Exploratory Landscape Analysis is Strongly Sensitive to the Sampling Strategy

Benchmarking a $$(\mu +\lambda )$$ Genetic Algorithm with Configurable Crossover Probability

Evolving Sampling Strategies for One-Shot Optimization Tasks

Optimization of Chance-Constrained Submodular Functions

Integrated vs. Sequential Approaches for Selecting and Tuning CMA-ES Variants

Benchmarking and analyzing iterative optimization heuristics with IOHprofiler (GECCO'20 tutorial)

Landscape-Aware Fixed-Budget Performance Regression and Algorithm Selection for Modular CMA-ES Variants

Initial Design Strategies and their Effects on Sequential Model-Based Optimization An Exploratory Case Study Based on BBOB

Fixed-Target Runtime Analysis

Mutation Rate Control in the (1 + λ) Evolutionary Algorithm with a Self-adjusting Lower Bound

Hybridizing the 1/5-th Success Rule with Q-Learning for Controlling the Mutation Rate of an Evolutionary Algorithm

Optimal Mutation Rates for the $(1+\lambda )$ EA on OneMax

Variance Reduction for Better Sampling in Continuous Domains

High Dimensional Bayesian Optimization Assisted by Principal Component Analysis

Linear Matrix Factorization Embeddings for Single-objective Optimization Landscapes

Coupling the design of benchmark with algorithm in landscape-aware solver design

Hyper-parameter tuning for the (1 + ( λ, λ )) GA

Expressiveness and robustness of landscape features (student workshop paper)

Maximizing drift is not optimal for solving OneMax

Dynamic parameter choices in evolutionary computation (tutorial at GECCO 2019)

Online selection of CMA-ES variants

Self-adjusting mutation rates with provably optimal success rules

Adaptive landscape analysis (student workshop paper)

Making a case for (Hyper-)parameter tuning as benchmark problems

Interpolating Local and Global Search by Controlling the Variance of Standard Bit Mutation

Offspring Population Size Matters when Comparing Evolutionary Algorithms with Self-Adjusting Mutation Rates

Fast re-optimization via structural diversity

Fixed-target runtime analysis of the (1 + 1) EA with resampling (student workshop paper)

Benchmarking discrete optimization heuristics with IOHprofiler

Illustrating the trade-off between time, quality, and success probability in heuristic search

Bayesian performance analysis for black-box optimization benchmarking

Towards an Adaptive CMA-ES Configurator

A Simple Proof for the Usefulness of Crossover in Black-Box Optimization

Sensitivity of Parameter Control Mechanisms with Respect to Their Initialization

Dynamic parameter choices in evolutionary computation

Simple on-the-fly parameter selection mechanisms for two classical discrete black-box optimization benchmark problems

Towards a theory-guided benchmarking suite for discrete black-box optimization heuristics