# Anne Auger

Affiliations:
• INRIA, France

According to our database1, Anne Auger authored at least 127 papers between 2002 and 2022.

Collaborative distances:

Book
In proceedings
Article
PhD thesis
Other

## Bibliography

2022
Global Linear Convergence of Evolution Strategies on More than Smooth Strongly Convex Functions.
SIAM J. Optim., 2022

Using Well-Understood Single-Objective Functions in Multiobjective Black-Box Optimization Test Suites.
Evol. Comput., 2022

Learning rate adaptation by line search in evolution strategies with recombination.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

A (biased) introduction to benchmarking.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

2021
COCO: a platform for comparing continuous optimizers in a black-box setting.
Optim. Methods Softw., 2021

Scaling-invariant Functions versus Positively Homogeneous Functions.
J. Optim. Theory Appl., 2021

Preface to the Special Issue on Theory of Genetic and Evolutionary Computation.
Algorithmica, 2021

DMS and MultiGLODS: black-box optimization benchmarking of two direct search methods on the bbob-biobj test suite.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Benchmarking: state-of-the-art and beyond.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

2020
Guest Editorial Special Issue on Theoretical Foundations of Evolutionary Computation.
IEEE Trans. Evol. Comput., 2020

On invariance and linear convergence of evolution strategies with augmented Lagrangian constraint handling.
Theor. Comput. Sci., 2020

Quality gain analysis of the weighted recombination evolution strategy on general convex quadratic functions.
Theor. Comput. Sci., 2020

Benchmarking large-scale continuous optimizers: The bbob-largescale testbed, a COCO software guide and beyond.
Appl. Soft Comput., 2020

Sparse Inverse Covariance Learning for CMA-ES with Graphical Lasso.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

2019
COCO: The Large Scale Black-Box Optimization Benchmarking (bbob-largescale) Test Suite.
CoRR, 2019

Uncrowded hypervolume improvement: COMO-CMA-ES and the sofomore framework.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

Proceedings of the Evolutionary Multi-Criterion Optimization, 2019

2018
A discrete version of CMA-ES.
CoRR, 2018

A new approach to learning in Dynamic Bayesian Networks (DBNs).
CoRR, 2018

A Comparative Study of Large-Scale Variants of CMA-ES.
Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018

Stopping criteria, initialization, and implementations of BFGS and their effect on the BBOB test suite.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Drift theory in continuous search spaces: expected hitting time of the (1 + 1)-ES with 1/5 success rule.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

2017
Information-Geometric Optimization Algorithms: A Unifying Picture via Invariance Principles.
J. Mach. Learn. Res., 2017

Introduction to randomized continuous optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Linearly Convergent Evolution Strategies via Augmented Lagrangian Constraint Handling.
Proceedings of the 14th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, 2017

Quantitative Performance Assessment of Multiobjective Optimizers: The Average Runtime Attainment Function.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2017

2016
Thèse d'habilitation à diriger des recherches "Analysis of Comparison-based Stochastic Continuous Black-Box Optimization Algorithms". (Thèse d'habilitation à diriger des recherches "Analysis of Comparison-based Stochastic Continuous Black-Box Optimization Algorithms").
, 2016

Linear Convergence of Comparison-based Step-size Adaptive Randomized Search via Stability of Markov Chains.
SIAM J. Optim., 2016

COCO: The Bi-objective Black Box Optimization Benchmarking (bbob-biobj) Test Suite.
CoRR, 2016

COCO: The Experimental Procedure.
CoRR, 2016

COCO: A Platform for Comparing Continuous Optimizers in a Black-Box Setting.
CoRR, 2016

COCO: Performance Assessment.
CoRR, 2016

Biobjective Performance Assessment with the COCO Platform.
CoRR, 2016

Augmented Lagrangian Constraint Handling for CMA-ES - Case of a Single Linear Constraint.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016

Permuted Orthogonal Block-Diagonal Transformation Matrices for Large Scale Optimization Benchmarking.
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

The Impact of Search Volume on the Performance of RANDOMSEARCH on the Bi-objective BBOB-2016 Test Suite.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

Benchmarking RM-MEDA on the Bi-objective BBOB-2016 Test Suite.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

Benchmarking MATLAB's gamultiobj (NSGA-II) on the Bi-objective BBOB-2016 Test Suite.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

The Impact of Variation Operators on the Performance of SMS-EMOA on the Bi-objective BBOB-2016 Test Suite.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

Benchmarking the Pure Random Search on the Bi-objective BBOB-2016 Testbed.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

GECCO'16 Black-Box Optimization Benchmarking Workshop (BBOB-2016): Workshop Chairs' Welcome Message.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

Analysis of Linear Convergence of a (1 + 1)-ES with Augmented Lagrangian Constraint Handling.
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

Proceedings of the Genetic and Evolutionary Computation Conference, 2016

Introduction to Randomized Continuous Optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

2015
Evolution Strategies.
Proceedings of the Springer Handbook of Computational Intelligence, 2015

Markov Chain Analysis of Cumulative Step-Size Adaptation on a Linear Constrained Problem.
Evol. Comput., 2015

Continuous Optimization and CMA-ES.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Theory of Evolution Strategies and Related Algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

2014
Principled Design of Continuous Stochastic Search: From Theory to Practice.
Proceedings of the Theory and Principled Methods for the Design of Metaheuristics, 2014

How to Assess Step-Size Adaptation Mechanisms in Randomised Search.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIII, 2014

Women@GECCO 2014.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Evolution strategies and CMA-ES (covariance matrix adaptation).
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Comparison-based natural gradient optimization in high dimension.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Markov chain analysis of evolution strategies on a linear constraint optimization problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013
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

On Proving Linear Convergence of Comparison-based Step-size Adaptive Randomized Search on Scaling-Invariant Functions via Stability of Markov Chains.
CoRR, 2013

A median success rule for non-elitist evolution strategies: study of feasibility.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Tutorial CMA-ES: evolution strategies and covariance matrix adaptation.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Benchmarking the local metamodel CMA-ES on the noiseless BBOB'2013 test bed.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

2012
Hypervolume-based multiobjective optimization: Theoretical foundations and practical implications.
Theor. Comput. Sci., 2012

Benchmarking of Continuous Black Box Optimization Algorithms.
Evol. Comput., 2012

Well Placement Optimization under Uncertainty with CMA-ES Using the Neighborhood
CoRR, 2012

Convergence of the Continuous Time Trajectories of Isotropic Evolution Strategies on Monotonic C^2-composite Functions
CoRR, 2012

Theory of Randomized Search Heuristics.
Algorithmica, 2012

Cumulative Step-Size Adaptation on Linear Functions.
Proceedings of the Parallel Problem Solving from Nature - PPSN XII, 2012

Convergence of the Continuous Time Trajectories of Isotropic Evolution Strategies on Monotonic $\mathcal C^2$ -composite Functions.
Proceedings of the Parallel Problem Solving from Nature - PPSN XII, 2012

Comparing mirrored mutations and active covariance matrix adaptation in the IPOP-CMA-ES on the noiseless BBOB testbed.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

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.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

On the impact of a small initial population size in the IPOP active CMA-ES with mirrored mutations on the noiseless BBOB testbed.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

On the effect of mirroring in the IPOP active CMA-ES on the noiseless BBOB testbed.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

2011
Impacts of invariance in search: When CMA-ES and PSO face ill-conditioned and non-separable problems.
Appl. Soft Comput., 2011

Log-Linear Convergence and Divergence of the Scale-Invariant (1+1)-ES in Noisy Environments.
Algorithmica, 2011

CMA-ES: evolution strategies and covariance matrix adaptation.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Local-meta-model CMA-ES for partially separable functions.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Mirrored sampling in evolution strategies with weighted recombination.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Analyzing the impact of mirrored sampling and sequential selection in elitist evolution strategies.
Proceedings of the Foundations of Genetic Algorithms, 11th International Workshop, 2011

Theory of Evolution Strategies: A New Perspective.
Proceedings of the Theory of Randomized Search Heuristics: Foundations and Recent Developments., 2011

2010
Using Evolution Strategy with Meta-models for Well Placement Optimization
CoRR, 2010

Continuous Lunches Are Free Plus the Design of Optimal Optimization Algorithms.
Algorithmica, 2010

Log-Linear Convergence of the Scale-Invariant (<i>µ</i>/<i>µ</i><sub><i>w</i></sub>, <i>lambda</i>)-ES and Optimal <i>µ</i> for Intermediate Recombination for Large Population Sizes.
Proceedings of the Parallel Problem Solving from Nature, 2010

Mirrored Sampling and Sequential Selection for Evolution Strategies.
Proceedings of the Parallel Problem Solving from Nature, 2010

Theoretically Investigating Optimal <i>µ</i>-Distributions for the Hypervolume Indicator: First Results for Three Objectives.
Proceedings of the Parallel Problem Solving from Nature, 2010

Comparing results of 31 algorithms from the black-box optimization benchmarking BBOB-2009.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

Benchmarking the (1, 4)-CMA-ES with mirrored sampling and sequential selection on the noisy BBOB-2010 testbed.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

Benchmarking the (1, 4)-CMA-ES with mirrored sampling and sequential selection on the noiseless BBOB-2010 testbed.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

Investigating the impact of sequential selection in the (1, 4)-CMA-ES on the noisy BBOB-2010 testbed.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

Investigating the impact of sequential selection in the (1, 2)-CMA-ES on the noisy BBOB-2010 testbed.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

Investigating the impact of sequential selection in the (1, 4)-CMA-ES on the noiseless BBOB-2010 testbed.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

Investigating the impact of sequential selection in the (1, 2)-CMA-ES on the noiseless BBOB-2010 testbed.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

Mirrored variants of the (1, 4)-CMA-ES compared on the noisy BBOB-2010 testbed.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

Mirrored variants of the (1, 2)-CMA-ES compared on the noisy BBOB-2010 testbed.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

Mirrored variants of the (1, 4)-CMA-ES compared on the noiseless BBOB-2010 testbed.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

Mirrored variants of the (1, 2)-CMA-ES compared on the noiseless BBOB-2010 testbed.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

Comparing the (1+1)-CMA-ES with a mirrored (1+2)-CMA-ES with sequential selection on the noiseless BBOB-2010 testbed.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

Investigating the Local-Meta-Model CMA-ES for Large Population Sizes.
Proceedings of the Applications of Evolutionary Computation, 2010

10361 Abstracts Collection and Executive Summary - Theory of Evolutionary Algorithms.
Proceedings of the Theory of Evolutionary Algorithms, 05.09. - 10.09.2010, 2010

2009
Learning Multiple Belief Propagation Fixed Points for Real Time Inference
CoRR, 2009

Experimental Comparisons of Derivative Free Optimization Algorithms.
Proceedings of the Experimental Algorithms, 8th International Symposium, 2009

Benchmarking the pure random search on the BBOB-2009 noisy testbed.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Benchmarking the pure random search on the BBOB-2009 testbed.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Benchmarking the (1+1)-CMA-ES on the BBOB-2009 noisy testbed.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Benchmarking the (1+1)-CMA-ES on the BBOB-2009 function testbed.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Investigating and exploiting the bias of the weighted hypervolume to articulate user preferences.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Articulating user preferences in many-objective problems by sampling the weighted hypervolume.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Benchmarking the (1+1)-ES with one-fifth success rule on the BBOB-2009 noisy testbed.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Benchmarking the (1+1) evolution strategy with one-fifth success rule on the BBOB-2009 function testbed.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Theory of the hypervolume indicator: optimal μ-distributions and the choice of the reference point.
Proceedings of the Foundations of Genetic Algorithms, 2009

2008
On Multiplicative Noise Models for Stochastic Search.
Proceedings of the Parallel Problem Solving from Nature, 2008

Evolution strategies and related estimation of distribution algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

08051 Abstracts Collection - Theory of Evolutionary Algorithms.
Proceedings of the Theory of Evolutionary Algorithms, 27.01. - 01.02.2008, 2008

08051 Executive Summary - Theory of Evolutionary Algorithms.
Proceedings of the Theory of Evolutionary Algorithms, 27.01. - 01.02.2008, 2008

2007
Continuous lunches are free!
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

On the adaptation of noise level for stochastic optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

Identification of the isotherm function in chromatography using CMA-ES.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

Log-Linear Convergence and Optimal Bounds for the (1+1)-ES.
Proceedings of the Artificial Evolution, 2007

2006
When Do Heavy-Tail Distributions Help?
Proceedings of the Parallel Problem Solving from Nature, 2006

Reconsidering the progress rate theory for evolution strategies in finite dimensions.
Proceedings of the Genetic and Evolutionary Computation Conference, 2006

2005
Convergence results for the (1, lambda)-SA-ES using the theory of phi-irreducible Markov chains.
Theor. Comput. Sci., 2005

Local and global order 3/2 convergence of a surrogate evolutionary algorithm.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

Performance evaluation of an advanced local search evolutionary algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

A restart CMA evolution strategy with increasing population size.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

Algorithms (X, sigma, eta): Quasi-random Mutations for Evolution Strategies.
Proceedings of the Artificial Evolution, 2005

2004
Contributions théoriques et numériques à l'optimisation continue par Algorithmes Evolutionnaires.
PhD thesis, 2004

LS-CMA-ES: A Second-Order Algorithm for Covariance Matrix Adaptation.
Proceedings of the Parallel Problem Solving from Nature, 2004

2003
Dimension-Independent Convergence Rate for Non-isotropic (1, lambda) - ES.
Proceedings of the Genetic and Evolutionary Computation, 2003

Functional Dependency and Degeneracy: Detailed Analysis of the GAuGE System.
Proceedings of the Artificial Evolution, 2003

2002
Overview and software guide of evolutionary algorithms; A case study in quantum control.
Proceedings of the Quantum Control, 2002