Anne Auger

ORCID

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 56

Top Venues

University of Paris-Sud, France (PHD)

Education History

University of Paris-Sud, France

PHD

Publications

Armand Gissler, Anne Auger, Nikolaus Hansen
Asymptotic estimations of a perturbed symmetric eigenproblem. CoRR (2024)
Armand Gissler, Anne Auger, Nikolaus Hansen
Asymptotic estimations of a perturbed symmetric eigenproblem. Appl. Math. Lett. 150 (2024)
Tristan Marty, Yann Semet, Anne Auger, Sébastien Héron, Nikolaus Hansen
Benchmarking CMA-ES with Basic Integer Handling on a Mixed-Integer Test Problem Suite. GECCO Companion (2023)
Anne Auger, Peter A. N. Bosman, Pascal Kerschke, Darrell Whitley, Lennart Schäpermeier
Challenges in Benchmarking Optimization Heuristics (Dagstuhl Seminar 23251). Dagstuhl Reports 13 (6) (2023)
Cheikh Toure, Anne Auger, Nikolaus Hansen
Global linear convergence of evolution strategies with recombination on scaling-invariant functions. J. Glob. Optim. 86 (1) (2023)
Anne Auger, Nikolaus Hansen
An Introduction to Scientific Experimentation and Benchmarking. GECCO Companion (2023)
Nikolaus Hansen, Anne Auger, Dimo Brockhoff, Tea Tusar
Anytime Performance Assessment in Blackbox Optimization Benchmarking. IEEE Trans. Evol. Comput. 26 (6) (2022)
Anne Auger, Nikolaus Hansen
A (biased) introduction to benchmarking. GECCO Companion (2022)
Anne Auger, Carlos M. Fonseca, Tobias Friedrich, Johannes Lengler
Theory of Randomized Optimization Heuristics (Dagstuhl Seminar 22081). Dagstuhl Reports 12 (2) (2022)
Dimo Brockhoff, Anne Auger, Nikolaus Hansen, Tea Tusar
Using Well-Understood Single-Objective Functions in Multiobjective Black-Box Optimization Test Suites. Evol. Comput. 30 (2) (2022)
Youhei Akimoto, Anne Auger, Tobias Glasmachers, Daiki Morinaga
Global Linear Convergence of Evolution Strategies on More than Smooth Strongly Convex Functions. SIAM J. Optim. 32 (2) (2022)
Armand Gissler, Anne Auger, Nikolaus Hansen
Learning rate adaptation by line search in evolution strategies with recombination. GECCO (2022)
Cheikh Toure, Armand Gissler, Anne Auger, Nikolaus Hansen
Scaling-invariant Functions versus Positively Homogeneous Functions. J. Optim. Theory Appl. 191 (1) (2021)
Nikolaus Hansen, Anne Auger, Raymond Ros, Olaf Mersmann, Tea Tusar, Dimo Brockhoff
COCO: a platform for comparing continuous optimizers in a black-box setting. Optim. Methods Softw. 36 (1) (2021)
Anne Auger, Per Kristian Lehre
Preface to the Special Issue on Theory of Genetic and Evolutionary Computation. Algorithmica 83 (4) (2021)
Anne Auger, Nikolaus Hansen
Benchmarking: state-of-the-art and beyond. GECCO Companion (2021)
Dimo Brockhoff, Baptiste Plaquevent-Jourdain, Anne Auger, Nikolaus Hansen
DMS and MultiGLODS: black-box optimization benchmarking of two direct search methods on the bbob-biobj test suite. GECCO Companion (2021)
Youhei Akimoto, Anne Auger, Nikolaus Hansen
Quality gain analysis of the weighted recombination evolution strategy on general convex quadratic functions. Theor. Comput. Sci. 832 (2020)
Konstantinos Varelas, Anne Auger, Nikolaus Hansen
Sparse Inverse Covariance Learning for CMA-ES with Graphical Lasso. PPSN (1) (2020)
Asma Atamna, Anne Auger, Nikolaus Hansen
On invariance and linear convergence of evolution strategies with augmented Lagrangian constraint handling. Theor. Comput. Sci. 832 (2020)
Pietro S. Oliveto, Anne Auger, Francisco Chicano, Carlos M. Fonseca
Guest Editorial Special Issue on Theoretical Foundations of Evolutionary Computation. IEEE Trans. Evol. Comput. 24 (6) (2020)
Konstantinos Varelas, Ouassim Ait ElHara, Dimo Brockhoff, Nikolaus Hansen, Duc Manh Nguyen, Tea Tusar, Anne Auger
Benchmarking large-scale continuous optimizers: The bbob-largescale testbed, a COCO software guide and beyond. Appl. Soft Comput. 97 (Part) (2020)
Youhei Akimoto, Anne Auger, Tobias Glasmachers, Daiki Morinaga
Global Linear Convergence of Evolution Strategies on More Than Smooth Strongly Convex Functions. CoRR (2020)
Ouassim Ait ElHara, Konstantinos Varelas, Duc Manh Nguyen, Tea Tusar, Dimo Brockhoff, Nikolaus Hansen, Anne Auger
COCO: The Large Scale Black-Box Optimization Benchmarking (bbob-largescale) Test Suite. CoRR (2019)
Cheikh Touré, Nikolaus Hansen, Anne Auger, Dimo Brockhoff
Uncrowded Hypervolume Improvement: COMO-CMA-ES and the Sofomore framework. CoRR (2019)
Cheikh Touré, Nikolaus Hansen, Anne Auger, Dimo Brockhoff
Uncrowded hypervolume improvement: COMO-CMA-ES and the sofomore framework. GECCO (2019)
Cheikh Toure, Anne Auger, Dimo Brockhoff, Nikolaus Hansen
On Bi-objective Convex-Quadratic Problems. EMO (2019)
Eric Benhamou, Jamal Atif, Rida Laraki, Anne Auger
A discrete version of CMA-ES. CoRR (2018)
Aurore Blelly, Matheus Felipe-Gomes, Anne Auger, Dimo Brockhoff
Stopping criteria, initialization, and implementations of BFGS and their effect on the BBOB test suite. GECCO (Companion) (2018)
Youhei Akimoto, Anne Auger, Tobias Glasmachers
Drift Theory in Continuous Search Spaces: Expected Hitting Time of the (1+1)-ES with 1/5 Success Rule. CoRR (2018)
Konstantinos Varelas, Anne Auger, Dimo Brockhoff, Nikolaus Hansen, Ouassim Ait ElHara, Yann Semet, Rami Kassab, Frédéric Barbaresco
A Comparative Study of Large-Scale Variants of CMA-ES. PPSN (1) (2018)
Cheikh Toure, Anne Auger, Dimo Brockhoff, Nikolaus Hansen
On Bi-Objective convex-quadratic problems. CoRR (2018)
Youhei Akimoto, Anne Auger, Tobias Glasmachers
Drift theory in continuous search spaces: expected hitting time of the (1 + 1)-ES with 1/5 success rule. GECCO (2018)
Eric Benhamou, Jamal Atif, Rida Laraki, Anne Auger
A new approach to learning in Dynamic Bayesian Networks (DBNs). CoRR (2018)
Anne Auger, Nikolaus Hansen
Introduction to randomized continuous optimization. GECCO (Companion) (2017)
Yann Ollivier, Ludovic Arnold, Anne Auger, Nikolaus Hansen
Information-Geometric Optimization Algorithms: A Unifying Picture via Invariance Principles. J. Mach. Learn. Res. 18 (2017)
Youhei Akimoto, Anne Auger, Nikolaus Hansen
Quality Gain Analysis of the Weighted Recombination Evolution Strategy on General Convex Quadratic Functions. FOGA (2017)
Dimo Brockhoff, Anne Auger, Nikolaus Hansen, Tea Tusar
Quantitative Performance Assessment of Multiobjective Optimizers: The Average Runtime Attainment Function. EMO (2017)
Asma Atamna, Anne Auger, Nikolaus Hansen
Linearly Convergent Evolution Strategies via Augmented Lagrangian Constraint Handling. FOGA (2017)
Nikolaus Hansen, Tea Tusar, Olaf Mersmann, Anne Auger, Dimo Brockhoff
COCO: The Experimental Procedure. CoRR (2016)
Asma Atamna, Anne Auger, Nikolaus Hansen
Analysis of Linear Convergence of a (1 + 1)-ES with Augmented Lagrangian Constraint Handling. GECCO (2016)
Asma Atamna, Anne Auger, Nikolaus Hansen
Augmented Lagrangian Constraint Handling for CMA-ES - Case of a Single Linear Constraint. PPSN (2016)
Anne Auger, Dimo Brockhoff, Nikolaus Hansen, Dejan Tusar, Tea Tusar, Tobias Wagner
Benchmarking the Pure Random Search on the Bi-objective BBOB-2016 Testbed. GECCO (Companion) (2016)
Anne Auger, Dimo Brockhoff, Nikolaus Hansen, Dejan Tusar, Tea Tusar, Tobias Wagner
The Impact of Search Volume on the Performance of RANDOMSEARCH on the Bi-objective BBOB-2016 Test Suite. GECCO (Companion) (2016)
Nikolaus Hansen, Anne Auger, Dimo Brockhoff, Dejan Tusar, Tea Tusar
COCO: Performance Assessment. CoRR (2016)
Dimo Brockhoff, Tea Tusar, Dejan Tusar, Tobias Wagner, Nikolaus Hansen, Anne Auger
Biobjective Performance Assessment with the COCO Platform. CoRR (2016)
Youhei Akimoto, Anne Auger, Nikolaus Hansen
CMA-ES and Advanced Adaptation Mechanisms. GECCO (Companion) (2016)
Anne Auger, Dimo Brockhoff, Nikolaus Hansen, Dejan Tusar, Tea Tusar, Tobias Wagner
Benchmarking MATLAB's gamultiobj (NSGA-II) on the Bi-objective BBOB-2016 Test Suite. GECCO (Companion) (2016)
Nikolaus Hansen, Anne Auger, Olaf Mersmann, Tea Tusar, Dimo Brockhoff
COCO: A Platform for Comparing Continuous Optimizers in a Black-Box Setting. CoRR (2016)
Anne Auger, Nikolaus Hansen
Linear Convergence of Comparison-based Step-size Adaptive Randomized Search via Stability of Markov Chains. SIAM J. Optim. 26 (3) (2016)
Anne Auger, Dimo Brockhoff, Nikolaus Hansen, Dejan Tusar, Tea Tusar, Tobias Wagner
The Impact of Variation Operators on the Performance of SMS-EMOA on the Bi-objective BBOB-2016 Test Suite. GECCO (Companion) (2016)
Youhei Akimoto, Anne Auger, Nikolaus Hansen
Introduction to Randomized Continuous Optimization. GECCO (Companion) (2016)
Anne Auger, Dimo Brockhoff, Nikolaus Hansen, Dejan Tusar, Tea Tusar, Tobias Wagner
Benchmarking RM-MEDA on the Bi-objective BBOB-2016 Test Suite. GECCO (Companion) (2016)
Tea Tusar, Dimo Brockhoff, Nikolaus Hansen, Anne Auger
COCO: The Bi-objective Black Box Optimization Benchmarking (bbob-biobj) Test Suite. CoRR (2016)
Ouassim Ait ElHara, Anne Auger, Nikolaus Hansen
Permuted Orthogonal Block-Diagonal Transformation Matrices for Large Scale Optimization Benchmarking. GECCO (2016)
Anne Auger, Dimo Brockhoff, Nikolaus Hansen, Dejan Tusar, Tea Tusar, Tobias Wagner
GECCO'16 Black-Box Optimization Benchmarking Workshop (BBOB-2016): Workshop Chairs' Welcome Message. GECCO (Companion) (2016)
Alexandre Adrien Chotard, Anne Auger, Nikolaus Hansen
Markov Chain Analysis of Cumulative Step-Size Adaptation on a Linear Constrained Problem. Evol. Comput. 23 (4) (2015)
Youhei Akimoto, Anne Auger, Nikolaus Hansen
Continuous Optimization and CMA-ES. GECCO (Companion) (2015)
Youhei Akimoto, Anne Auger
Theory of Evolution Strategies and Related Algorithms. GECCO (Companion) (2015)
Alexandre Adrien Chotard, Anne Auger, Nikolaus Hansen
Markov chain analysis of evolution strategies on a linear constraint optimization problem. IEEE Congress on Evolutionary Computation (2014)
Una-May O'Reilly, Anna Esparcia-Alcázar, Anne Auger, Carola Doerr, Anikó Ekárt, Gabriela Ochoa
Women@GECCO 2014. GECCO (Companion) (2014)
Alexandre Adrien Chotard, Anne Auger, Nikolaus Hansen
Markov Chain Analysis of Evolution Strategies on a Linear Constraint Optimization Problem. CoRR (2014)
Nikolaus Hansen, Asma Atamna, Anne Auger
How to Assess Step-Size Adaptation Mechanisms in Randomised Search. PPSN (2014)
Nikolaus Hansen, Anne Auger
Evolution strategies and CMA-ES (covariance matrix adaptation). GECCO (Companion) (2014)
Youhei Akimoto, Anne Auger, Nikolaus Hansen
Comparison-based natural gradient optimization in high dimension. GECCO (2014)
Anne Auger, Nikolaus Hansen
On Proving Linear Convergence of Comparison-based Step-size Adaptive Randomized Search on Scaling-Invariant Functions via Stability of Markov Chains. CoRR (2013)
Ouassim Ait ElHara, Anne Auger, Nikolaus Hansen
A median success rule for non-elitist evolution strategies: study of feasibility. GECCO (2013)
Anne Auger, Nikolaus Hansen
Tutorial CMA-ES: evolution strategies and covariance matrix adaptation. GECCO (Companion) (2013)
Anne Auger, Dimo Brockhoff, Nikolaus Hansen
Benchmarking the local metamodel CMA-ES on the noiseless BBOB'2013 test bed. GECCO (Companion) (2013)
Anne Auger, Nikolaus Hansen
Linear Convergence on Positively Homogeneous Functions of a Comparison Based Step-Size Adaptive Randomized Search: the (1+1) ES with Generalized One-fifth Success Rule. CoRR (2013)
Dimo Brockhoff, Anne Auger, Nikolaus Hansen
On the impact of a small initial population size in the IPOP active CMA-ES with mirrored mutations on the noiseless BBOB testbed. GECCO (Companion) (2012)
Anne Auger, Johannes Bader, Dimo Brockhoff, Eckart Zitzler
Hypervolume-based multiobjective optimization: Theoretical foundations and practical implications. Theor. Comput. Sci. 425 (2012)
Youhei Akimoto, Anne Auger, Nikolaus Hansen
Convergence of the Continuous Time Trajectories of Isotropic Evolution Strategies on Monotonic $\mathcal C^2$ -composite Functions. PPSN (1) (2012)
Youhei Akimoto, Anne Auger, Nikolaus Hansen
Convergence of the Continuous Time Trajectories of Isotropic Evolution Strategies on Monotonic C^2-composite Functions CoRR (2012)
Anne Auger, Nikolaus Hansen, Marc Schoenauer
Benchmarking of Continuous Black Box Optimization Algorithms. Evol. Comput. 20 (4) (2012)
Dimo Brockhoff, Anne Auger, Nikolaus Hansen
Comparing mirrored mutations and active covariance matrix adaptation in the IPOP-CMA-ES on the noiseless BBOB testbed. GECCO (Companion) (2012)
Dimo Brockhoff, Anne Auger, Nikolaus Hansen
On the impact of active covariance matrix adaptation in the CMA-ES with mirrored mutations and small initial population size on the noiseless BBOB testbed. GECCO (Companion) (2012)
Dimo Brockhoff, Anne Auger, Nikolaus Hansen
On the effect of mirroring in the IPOP active CMA-ES on the noiseless BBOB testbed. GECCO (Companion) (2012)
Anne Auger, Carsten Witt
Theory of Randomized Search Heuristics. Algorithmica 64 (4) (2012)
Zyed Bouzarkouna, Didier Yu Ding, Anne Auger
Well Placement Optimization under Uncertainty with CMA-ES Using the Neighborhood CoRR (2012)
Anne Auger, Nikolaus Hansen
Tutorial CMA-ES: evolution strategies and covariance matrix adaptation. GECCO (Companion) (2012)
Alexandre Adrien Chotard, Anne Auger, Nikolaus Hansen
Cumulative Step-size Adaptation on Linear Functions CoRR (2012)
Alexandre Adrien Chotard, Anne Auger, Nikolaus Hansen
Cumulative Step-size Adaptation on Linear Functions CoRR (2012)
Alexandre Adrien Chotard, Anne Auger, Nikolaus Hansen
Cumulative Step-Size Adaptation on Linear Functions. PPSN (1) (2012)
Mohamed Jebalia, Anne Auger, Nikolaus Hansen
Log-Linear Convergence and Divergence of the Scale-Invariant (1+1)-ES in Noisy Environments. Algorithmica 59 (3) (2011)
Zyed Bouzarkouna, Anne Auger, Didier Yu Ding
Local-meta-model CMA-ES for partially separable functions. GECCO (2011)
Nikolaus Hansen, Raymond Ros, Nikolas Mauny, Marc Schoenauer, Anne Auger
Impacts of invariance in search: When CMA-ES and PSO face ill-conditioned and non-separable problems. Appl. Soft Comput. 11 (8) (2011)
Anne Auger, Dimo Brockhoff, Nikolaus Hansen
Analyzing the impact of mirrored sampling and sequential selection in elitist evolution strategies. FOGA (2011)
Nikolaus Hansen, Anne Auger
CMA-ES: evolution strategies and covariance matrix adaptation. GECCO (Companion) (2011)
Anne Auger, Dimo Brockhoff, Nikolaus Hansen
Mirrored sampling in evolution strategies with weighted recombination. GECCO (2011)
Anne Auger, Dimo Brockhoff, Nikolaus Hansen
Investigating the impact of sequential selection in the (1, 4)-CMA-ES on the noisy BBOB-2010 testbed. GECCO (Companion) (2010)
Anne Auger, Dimo Brockhoff, Nikolaus Hansen
Benchmarking the (1, 4)-CMA-ES with mirrored sampling and sequential selection on the noiseless BBOB-2010 testbed. GECCO (Companion) (2010)
Anne Auger, Dimo Brockhoff, Nikolaus Hansen
Benchmarking the (1, 4)-CMA-ES with mirrored sampling and sequential selection on the noisy BBOB-2010 testbed. GECCO (Companion) (2010)
Anne Auger, Nikolaus Hansen, Jorge M. Perez Zerpa, Raymond Ros, Marc Schoenauer
Experimental Comparisons of Derivative Free Optimization Algorithms CoRR (2010)
Zyed Bouzarkouna, Didier Yu Ding, Anne Auger
Using Evolution Strategy with Meta-models for Well Placement Optimization CoRR (2010)
Anne Auger, Jonathan L. Shapiro, L. Darrell Whitley, Carsten Witt
10361 Abstracts Collection and Executive Summary - Theory of Evolutionary Algorithms. Theory of Evolutionary Algorithms (2010)
Anne Auger, Dimo Brockhoff, Nikolaus Hansen
Mirrored variants of the (1, 4)-CMA-ES compared on the noiseless BBOB-2010 testbed. GECCO (Companion) (2010)
Anne Auger, Dimo Brockhoff, Nikolaus Hansen
Comparing the (1+1)-CMA-ES with a mirrored (1+2)-CMA-ES with sequential selection on the noiseless BBOB-2010 testbed. GECCO (Companion) (2010)
Mohamed Jebalia, Anne Auger
for Intermediate Recombination for Large Population Sizes. PPSN (1) (2010)
Anne Auger, Dimo Brockhoff, Nikolaus Hansen
Mirrored variants of the (1, 2)-CMA-ES compared on the noiseless BBOB-2010 testbed. GECCO (Companion) (2010)

Anne Auger.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Anne Auger