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
Hao WangAssistant Professor in Leiden UniversityVerified email at liacs.leidenuniv.nl
Diederick VermettenLeiden UniversityVerified email at liacs.leidenuniv.nl
Furong YePostdoc, Leiden UniversityVerified email at liacs.leidenuniv.nl
Tome EftimovComputer Systems Department, Jožef Stefan InstituteVerified email at ijs.si
Markus WagnerAssociate Professor of Computer Science, Monash University, AustraliaVerified email at monash.edu
Johannes LenglerETH ZürichVerified email at inf.ethz.ch
Anja JankovicATER (post-doc), Sorbonne UniversityVerified email at lip6.fr
Johann DreoInstitut PasteurVerified email at dreo.fr
Pascal KerschkeProfessor of Big Data Analytics in Transportation, TU Dresden, GermanyVerified email at tu-dresden.de
Jakob BossekRWTH Aachen UniversityVerified email at aim.rwth-aachen.de
Sander van RijnPhD Student LIACSVerified email at liacs.leidenuniv.nl
Frank NeumannOptimisation and Logistics, School of ComputerVerified email at adelaide.edu.au
Quentin RENAUEdinburgh Napier UniversityVerified email at napier.ac.uk
Maxim BuzdalovPhD, ITMO UniversityVerified email at itmo.ru
Jacob de NobelPhD. Candidate, Leiden UniversityVerified email at liacs.leidenuniv.nl
Ofer M. ShirAssociate Professor of Computer Science, Tel-Hai College, Upper Galilee, IsraelVerified email at alumni.Princeton.EDU
Magnus WahlströmRoyal Holloway, University of LondonVerified email at rhul.ac.uk
Dirk SudholtUniversity of Passau, GermanyVerified email at uni-passau.de

Carola Doerr

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

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

Black-Box Optimization Machine Learning Evolutionary Computation Heuristic Search Discrepancy Theory


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Multiplicative drift analysis B Doerr, D Johannsen, C Winzen Proceedings of the 12th annual conference on Genetic and evolutionary …, 2010	267	2010
From black-box complexity to designing new genetic algorithms B Doerr, C Doerr, F Ebel Theoretical Computer Science 567, 87-104, 2015	177	2015
Optimal Static and Self-Adjusting Parameter Choices for the Genetic Algorithm B Doerr, C Doerr Algorithmica 80, 1658-1709, 2018	102	2018
Optimal parameter choices via precise black-box analysis B Doerr, C Doerr, J Yang Proceedings of the Genetic and Evolutionary Computation Conference 2016 …, 2016	91	2016
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	89	2020
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	83*	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	80	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	75	2020
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	68	2009
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	65	2011
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	62	2019
Calculation of discrepancy measures and applications C Doerr, M Gnewuch, M Wahlström A panorama of discrepancy theory, 621-678, 2014	57	2014
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	50	2013
Drift analysis and linear functions revisited B Doerr, D Johannsen, C Winzen IEEE Congress on Evolutionary Computation, 1-8, 2010	47	2010
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	45	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	45	2018
Playing Mastermind with constant-size memory B Doerr, C Winzen Theory of Computing Systems 55, 658-684, 2014	44	2014
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	41	2018
Playing mastermind with many colors B Doerr, C Doerr, R Spöhel, H Thomas Journal of the ACM (JACM) 63 (5), 1-23, 2016	41	2016
Rumor spreading in random evolving graphs A Clementi, P Crescenzi, C Doerr, P Fraigniaud, F Pasquale, R Silvestri Random Structures & Algorithms 48 (2), 290-312, 2016	40	2016

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