Carola Doerr
机构: CNRS research director (DR) at Sorbonne Université, Paris, France
主页: lip6.fr
每年引用次数
引用次数
引用: 3,844
H-指数: 35
I10-指数 : 93
出版物: 217
Editor’s Note: Special Issue on Genetic and Evolutionary Computation
Multiplicative Up-Drift , Benjamin Doerr , Timo Kötzing , Carola Doerr Doerr
Algorithmica 83 3015 -3016
2021
Diffusion Probabiliste dans les Reseaux Dynamiques
Pierluigi Crescenzi , Francesco Pasquale , Carola Doerr , Andrea Clementi
15èmes Rencontres Francophones sur les Aspects Algorithmiques des Télécommunications (AlgoTel) 1 -4
2013
The Query Complexity of Finding a Hidden Permutation.
Kurt Mehlhorn , Peyman Afshani , Benjamin Doerr , Kasper Green Larsen
Space-Efficient Data Structures, Streams, and Algorithms 1 -11
7
2013
Theory of Randomized Optimization Heuristics (Dagstuhl Seminar 17191)
Christian Igel , Xin Yao , Carola Doerr , Lothar Thiele
Dagstuhl Reports 7 ( 5) 55
2017
Discrepancy-based Evolutionary Diversity Optimization
Wanru Gao , Markus Wagner , Frank Neumann , Aneta Neumann
arXiv: Neural and Evolutionary Computing
2
2018
The (1+1) Elitist Black-Box Complexity of LeadingOnes
Johannes Lengler , Carola Doerr
arXiv: Neural and Evolutionary Computing
2016
Theory of Randomized Optimization Heuristics (Dagstuhl Reports 19431).
Xin Yao , Carlos M. Fonseca , Carola Doerr , Tobias Friedrich
Dagstuhl Reports 9 ( 10) 61 -94
2020
Hybridizing the 1/5-th Success Rule with Q-Learning for Controlling the Mutation Rate of an Evolutionary Algorithm
Arina Buzdalova , Anna Rodionova , Carola Doerr
arXiv: Neural and Evolutionary Computing
1
2020
Benchmarking in Optimization: Best Practice and Open Issues
Thomas Bartz-Beielstein , Carola Doerr , Daan van den Berg , Jakob Bossek
arXiv: Neural and Evolutionary Computing
66
2020
Black-Box Optimization Revisited: Improving Algorithm Selection Wizards through Massive Benchmarking
Laurent Meunier , Herilalaina Rakotoarison , Pak Kan Wong , Baptiste Roziere
arXiv: Learning
16
2021
Optimal Static Mutation Strength Distributions for the (1+λ) Evolutionary Algorithm on OneMax.
Maxim Buzdalov , Carola Doerr
arXiv: Neural and Evolutionary Computing
2021
Towards Large Scale Automated Algorithm Design by Integrating Modular Benchmarking Frameworks.
Johann Dréo , Carola Doerr , Amine Aziz-Alaoui
arXiv: Neural and Evolutionary Computing
9
2021
Leveraging Benchmarking Data for Informed One-Shot Dynamic Algorithm Selection.
Thomas Bäck , Carola Doerr , Furong Ye
arXiv: Neural and Evolutionary Computing
2021
Tuning as a Means of Assessing the Benefits of New Ideas in Interplay with Existing Algorithmic Modules.
Thomas Bäck , Hao Wang , Carola Doerr , Diederick Vermetten
arXiv: Neural and Evolutionary Computing
2021
MATE: A Model-Based Algorithm Tuning Engine - A Proof of Concept Towards Transparent Feature-Dependent Parameter Tuning Using Symbolic Regression.
Marcella Scoczynski Ribeiro Martins , Peter Nielsen , Mohamed El Yafrani , Inkyung Sung
EvoCOP 51 -67
2021
Nevergrad: black-box optimization platform
Olivier Teytaud , Fabien Teytaud , Antoine Moreau , Carola Doerr
ACM Sigevolution 14 ( 1) 8 -15
2021
Personalizing Performance Regression Models to Black-Box Optimization Problems.
Tome Eftimov , Carola Doerr , Gorjan Popovski , Anja Jankovic
arXiv: Neural and Evolutionary Computing
2021
The Impact of Hyper-Parameter Tuning for Landscape-Aware Performance Regression and Algorithm Selection.
Tome Eftimov , Carola Doerr , Gorjan Popovski , Anja Jankovic
arXiv: Neural and Evolutionary Computing
13
2021
Towards Explainable Exploratory Landscape Analysis: Extreme Feature Selection for Classifying BBOB Functions.
Benjamin Doerr , Carola Doerr , Johann Dréo , Quentin Renau
EvoApplications 17 -33
2021
Towards Feature-Based Performance Regression Using Trajectory Data.
Tome Eftimov , Carola Doerr , Anja Jankovic
EvoApplications 601 -617
2021