Sledovat
Carola Doerr
Carola Doerr
CNRS research director (DR) at Sorbonne Université, Paris, France
E-mailová adresa ověřena na: mpi-inf.mpg.de - Domovská stránka
Název
Citace
Citace
Rok
Multiplicative drift analysis
B Doerr, D Johannsen, C Winzen
Proceedings of the 12th annual conference on Genetic and evolutionary …, 2010
2982010
From black-box complexity to designing new genetic algorithms
B Doerr, C Doerr, F Ebel
Theoretical Computer Science 567, 87-104, 2015
2132015
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
1432020
Optimal Static and Self-Adjusting Parameter Choices for the Genetic Algorithm
B Doerr, C Doerr
Algorithmica 80, 1658-1709, 2018
1162018
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
1142020
Optimal parameter choices via precise black-box analysis
B Doerr, C Doerr, J Yang
Proceedings of the Genetic and Evolutionary Computation Conference 2016 …, 2016
1072016
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
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
832019
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
832015
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
782018
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
742020
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
732009
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
702011
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
692022
Calculation of discrepancy measures and applications
C Doerr, M Gnewuch, M Wahlström
A panorama of discrepancy theory, 621-678, 2014
682014
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
622019
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
572018
Black-box optimization revisited: Improving algorithm selection wizards through massive benchmarking
L Meunier, H Rakotoarison, PK Wong, B Roziere, J Rapin, O Teytaud, ...
IEEE Transactions on Evolutionary Computation 26 (3), 490-500, 2021
522021
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
512013
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
502020
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Články 1–20