Carola Doerr

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Benjamin DoerrProfessor at Ecole Polytechnique, FranceVerified email at lix.polytechnique.fr
Thomas BäckProfessor of Computer Science, Leiden University; Chief Scientist, NORCE Research Centre, NorwayVerified email at liacs.leidenuniv.nl
Diederick VermettenLeiden UniversityVerified email at liacs.leidenuniv.nl
Hao WangLeiden UniversityVerified email at liacs.leidenuniv.nl
Tome EftimovComputer Systems Department, Jožef Stefan InstituteVerified email at ijs.si
Furong YePostdoc, State Key Laboratory of Computer Science, Chinese Academy of SciencesVerified email at ios.ac.cn
Anja JankovicPostdoc, RWTH Aachen UniversityVerified email at aim.rwth-aachen.de
Johann DreoInstitut PasteurVerified email at dreo.fr
Markus WagnerAssociate Professor of Computer Science, Monash University, AustraliaVerified email at monash.edu
Johannes LenglerETH ZürichVerified email at inf.ethz.ch
Jacob de NobelPhD. Candidate, Leiden UniversityVerified email at liacs.leidenuniv.nl
Ana KostovskaJozef Stefan InstituteVerified email at ijs.si
Pascal KerschkeProfessor of Big Data Analytics in Transportation, TU Dresden, GermanyVerified email at tu-dresden.de
Peter KorošecProfessor of Computer Science at Jožef Stefan Institute, SloveniaVerified email at ijs.si
Jakob BossekPaderborn UniversityVerified email at uni-paderborn.de
Quentin RENAUEdinburgh Napier UniversityVerified email at napier.ac.uk
Frank NeumannOptimisation and Logistics, School of ComputerVerified email at adelaide.edu.au
Elena RaponiLeiden University (LIACS)Verified email at liacs.leidenuniv.nl
Jérémy RAPINResearch Engineer @ Meta Fundamental AI Research labVerified email at meta.com
Sander van RijnNetherlands eScience CenterVerified email at esciencecenter.nl

Carola Doerr

CNRS research director (DR) at Sorbonne Université, Paris, France

Verified email at mpi-inf.mpg.de - Homepage

Black-Box Optimization Evolutionary Computation Heuristic Search Discrepancy Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Multiplicative drift analysis B Doerr, D Johannsen, C Winzen Proceedings of the 12th annual conference on Genetic and evolutionary …, 2010	297	2010
From black-box complexity to designing new genetic algorithms B Doerr, C Doerr, F Ebel Theoretical Computer Science 567, 87-104, 2015	208	2015
Benchmarking in optimization: Best practice and open issues T Bartz-Beielstein, C Doerr, D Berg, J Bossek, S Chandrasekaran, ... arXiv preprint arXiv:2007.03488, 2020	125	2020
Optimal Static and Self-Adjusting Parameter Choices for the Genetic Algorithm B Doerr, C Doerr Algorithmica 80, 1658-1709, 2018	113	2018
Theory of parameter control for discrete black-box optimization: Provable performance gains through dynamic parameter choices B Doerr, C Doerr Theory of Evolutionary Computation: Recent Developments in Discrete …, 2020	112	2020
Optimal parameter choices via precise black-box analysis B Doerr, C Doerr, J Yang Proceedings of the Genetic and Evolutionary Computation Conference 2016 …, 2016	106	2016
Mutation rate matters even when optimizing monotonic functions B Doerr, T Jansen, D Sudholt, C Winzen, C Zarges Evolutionary computation 21 (1), 1-27, 2013	94*	2013
Optimal parameter choices through self-adjustment: Applying the 1/5-th rule in discrete settings B Doerr, C Doerr Proceedings of the 2015 Annual Conference on Genetic and Evolutionary …, 2015	82	2015
Benchmarking discrete optimization heuristics with IOHprofiler C Doerr, F Ye, N Horesh, H Wang, OM Shir, T Bäck Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2019	80	2019
IOHprofiler: A benchmarking and profiling tool for iterative optimization heuristics C Doerr, H Wang, F Ye, S Van Rijn, T Bäck arXiv preprint arXiv:1810.05281, 2018	71	2018
Finding optimal volume subintervals with k points and calculating the star discrepancy are NP-hard problems M Gnewuch, A Srivastav, C Winzen Journal of Complexity 25 (2), 115-127, 2009	71	2009
Exploratory landscape analysis is strongly sensitive to the sampling strategy Q Renau, C Doerr, J Dreo, B Doerr Parallel Problem Solving from Nature–PPSN XVI: 16th International Conference …, 2020	69	2020
Faster black-box algorithms through higher arity operators B Doerr, D Johannsen, T Kötzing, PK Lehre, M Wagner, C Winzen Proceedings of the 11th workshop proceedings on Foundations of genetic …, 2011	68	2011
Calculation of discrepancy measures and applications C Doerr, M Gnewuch, M Wahlström A panorama of discrepancy theory, 621-678, 2014	66	2014
IOHanalyzer: Detailed performance analyses for iterative optimization heuristics H Wang, D Vermetten, F Ye, C Doerr, T Bäck ACM Transactions on Evolutionary Learning and Optimization 2 (1), 1-29, 2022	64	2022
Self-adjusting mutation rates with provably optimal success rules B Doerr, C Doerr, J Lengler Proceedings of the Genetic and Evolutionary Computation Conference, 1479-1487, 2019	57	2019
Discrepancy-based evolutionary diversity optimization A Neumann, W Gao, C Doerr, F Neumann, M Wagner Proceedings of the Genetic and Evolutionary Computation Conference, 991-998, 2018	55	2018
Lessons from the black-box: Fast crossover-based genetic algorithms B Doerr, C Doerr, F Ebel Proceedings of the 15th annual conference on Genetic and evolutionary …, 2013	51	2013
Drift analysis and linear functions revisited B Doerr, D Johannsen, C Winzen IEEE Congress on Evolutionary Computation, 1-8, 2010	50	2010
Landscape-aware fixed-budget performance regression and algorithm selection for modular CMA-ES variants A Jankovic, C Doerr Proceedings of the 2020 Genetic and Evolutionary Computation Conference, 841-849, 2020	48	2020

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