Anne Auger

发表

Benchmarking the pure random search on the BBOB-2009 testbed

Anne Auger, Raymond Ros, A. Auger, 2009, GECCO '09.

Parallel Problem Solving from Nature – PPSN XV

Nuno Lourenço, Anne Auger, Carlos M. Fonseca, 2018, Lecture Notes in Computer Science.

Comparing the (1+1)-CMA-ES with a mirrored (1+2)-CMA-ES with sequential selection on the noiseless BBOB-2010 testbed

Anne Auger, Dimo Brockhoff, Nikolaus Hansen, 2010, GECCO '10.

New Results - Estimation of Distribution Algorithms

Anne Auger, Marc Schoenauer, Michael R. Wagner, 2003 .

Introduction to Randomized Continuous Optimization

Anne Auger, Youhei Akimoto, Nikolaus Hansen, 2016, GECCO.

Theory of Evolution Strategies: A New Perspective

Anne Auger, Nikolaus Hansen, N. Hansen, 2011, Theory of Randomized Search Heuristics.

A median success rule for non-elitist evolution strategies: study of feasibility

Anne Auger, Nikolaus Hansen, Ouassim Ait ElHara, 2013, GECCO '13.

Calibrating Traffic Simulations as an Application of CMA-ES in Continuous Blackbox Optimization: First Results

Anne Auger, Fabrice Marchal, Dimo Brockhoff, 2010 .

New Results - Analysis of some simple adaptive Evolution Strategies

Anne Auger, Marc Schoenauer, Marc Schoenauer, 2003 .

Information-Geometric Optimization Algorithms: A Unifying Picture via Invariance Principles

Anne Auger, Nikolaus Hansen, Yann Ollivier, 2011, J. Mach. Learn. Res..

Cumulative Step-size Adaptation on Linear Functions: Technical Report

Anne Auger, Nikolaus Hansen, Alexandre Adrien Chotard, 2012, PPSN 2012.

Log-Linear Convergence and Optimal Bounds for the (1+1)-ES

Anne Auger, Pierre Liardet, Mohamed Jebalia, 2007, Artificial Evolution.

IJCAI-07 Reviewers

Wolfram Burgard, Olivier Buffet, Christian Balkenius, 2007, IJCAI.

Well Placement Optimization under Uncertainty with CMA-ES Using the Neighborhood pdf

Anne Auger, Didier Yu Ding, Zyed Bouzarkouna, 2012, ArXiv.

How to Assess Step-Size Adaptation Mechanisms in Randomised Search

Anne Auger, Asma Atamna, Nikolaus Hansen, 2014, PPSN.

EEDA : A New Robust Estimation of Distribution Algorithms

Anne Auger, Marc Schoenauer, Michael R. Wagner, 2004 .

Theory of Evolution Strategies and Related Algorithms

Anne Auger, Youhei Akimoto, 2015, GECCO.

Theory of Randomized Search Heuristics

Anne Auger, Carsten Witt, 2012, Algorithmica.

Introduction to randomized continuous optimization

Anne Auger, Nikolaus Hansen, 2017, GECCO '17.

Continuous Optimization and CMA-ES

Anne Auger, Youhei Akimoto, Nikolaus Hansen, 2015, GECCO.

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")

Anne Auger, A. Auger, 2016 .

Session details: BBOB'15 Workshop

Anne Auger, Youhei Akimoto, Dimo Brockhoff, 2015, GECCO 2015.

Theory of the hypervolume indicator: optimal μ-distributions and the choice of the reference point

Anne Auger, Eckart Zitzler, Johannes Bader, 2009, FOGA '09.

Investigating the impact of sequential selection in the (1,2)-CMA-ES on the noiseless BBOB-2010 testbed

Anne Auger, Dimo Brockhoff, Nikolaus Hansen, 2010, GECCO '10.

Benchmarking MATLAB's gamultiobj (NSGA-II) on the Bi-objective BBOB-2016 Test Suite

Anne Auger, Dimo Brockhoff, Nikolaus Hansen, 2016, GECCO.

Convergence results for the (1, lambda)-SA-ES using the theory of phi-irreducible Markov chains

Anne Auger, A. Auger, 2005, Theor. Comput. Sci..

Markov Chain Analysis of Cumulative Step-Size Adaptation on a Linear Constrained Problem

Anne Auger, Nikolaus Hansen, Alexandre Adrien Chotard, 2015, Evolutionary Computation.

Investigating the impact of sequential selection in the (1,2)-CMA-ES on the noisy BBOB-2010 testbed

Anne Auger, Dimo Brockhoff, Nikolaus Hansen, 2010, GECCO '10.

Theoretically Investigating Optimal µ-Distributions for the Hypervolume Indicator: First Results for Three Objectives

Anne Auger, Johannes Bader, Dimo Brockhoff, 2010, PPSN.

Using Evolution Strategy with Meta-models for Well Placement Optimization pdf

Anne Auger, Didier Yu Ding, Zyed Bouzarkouna, 2010, ArXiv.

Contributions théoriques et numériques à l'optimisation continue par Algorithmes Evolutionnaires

Anne Auger, 2004 .

Experimental Comparisons of Derivative Free Optimization Algorithms

Anne Auger, Raymond Ros, Marc Schoenauer, 2009, SEA.

Method for optimizing well placement in a tank tanker

Anne Auger, Marc Schoenauer, Zyed Bouzarkouna, 2010 .

Benchmarking the (1+1)-CMA-ES on the BBOB-2009 noisy testbed

Anne Auger, Nikolaus Hansen, N. Hansen, 2009, GECCO '09.

Mirrored Sampling and Sequential Selection for Evolution Strategies

Anne Auger, Dirk V. Arnold, Dimo Brockhoff, 2010, PPSN.

A new approach to learning in Dynamic Bayesian Networks (DBNs) pdf

Eric Benhamou, Anne Auger, Jamal Atif, 2018, ArXiv.

Benchmarking the (1+1) evolution strategy with one-fifth success rule on the BBOB-2009 function testbed

Anne Auger, A. Auger, 2009, GECCO '09.

Session details: Black box optimization benchmarking 2013 (BBOB 2013)

Bernd Bischl, Heike Trautmann, Anne Auger, 2013, Annual Conference on Genetic and Evolutionary Computation.

Learning Multiple Belief Propagation Fixed Points for Real Time Inference pdf

Anne Auger, Cyril Furtlehner, Jean-Marc Lasgouttes, 2009, Physica A: Statistical Mechanics and its Applications.

Biobjective Performance Assessment with the COCO Platform pdf

Anne Auger, Dimo Brockhoff, Nikolaus Hansen, 2016, ArXiv.

Parallel Problem Solving from Nature – PPSN XV

Nuno Lourenço, Anne Auger, Carlos M. Fonseca, 2018, Lecture Notes in Computer Science.

Benchmarking the pure random search on the BBOB-2009 noisy testbed

Anne Auger, Raymond Ros, A. Auger, 2009, GECCO '09.

Investigating and exploiting the bias of the weighted hypervolume to articulate user preferences

Anne Auger, Eckart Zitzler, Johannes Bader, 2009, GECCO.

Benchmarking RM-MEDA on the Bi-objective BBOB-2016 Test Suite

Anne Auger, Dimo Brockhoff, Nikolaus Hansen, 2016, GECCO.

On the impact of a small initial population size in the IPOP active CMA-ES with mirrored mutations on the noiseless BBOB testbed

Anne Auger, Dimo Brockhoff, Nikolaus Hansen, 2012, GECCO '12.

Comparing mirrored mutations and active covariance matrix adaptation in the IPOP-CMA-ES on the noiseless BBOB testbed

Anne Auger, Dimo Brockhoff, Nikolaus Hansen, 2012, GECCO '12.

Software - COmparing Continuous Optimizers

Anne Auger, Raymond Ros, Marc Schoenauer, 2011 .

GECCO'16 Black-Box Optimization Benchmarking Workshop (BBOB-2016): Workshop Chairs' Welcome Message

Anne Auger, Dimo Brockhoff, Nikolaus Hansen, 2016, GECCO.

Comparing results of 31 algorithms from the black-box optimization benchmarking BBOB-2009

Anne Auger, Raymond Ros, Nikolaus Hansen, 2010, GECCO '10.

New Results - Continuous Optimization

Michèle Sebag, Olivier Teytaud, Anne Auger, 2013 .

Evolution strategies and CMA-ES (covariance matrix adaptation)

Anne Auger, Nikolaus Hansen, N. Hansen, 2014, Annual Conference on Genetic and Evolutionary Computation.

Investigating Degenerate Code and Gene Dependency in the GAuGE System

Conor Ryan, Anne Auger, Miguel Nicolau, 2003 .

Augmented Lagrangian Constraint Handling for CMA-ES - Case of a Single Linear Constraint

Anne Auger, Asma Atamna, Nikolaus Hansen, 2016, PPSN.

Continuous lunches are free!

Olivier Teytaud, Anne Auger, 2007, GECCO '07.

Benchmarking the Pure Random Search on the Bi-objective BBOB-2016 Testbed

Anne Auger, Dimo Brockhoff, Nikolaus Hansen, 2016, GECCO.

Comparison Tables: BBOB 2009 Noisy Testbed

Anne Auger, Raymond Ros, Nikolaus Hansen, 2010 .

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

Anne Auger, Nikolaus Hansen, N. Hansen, 2013, ArXiv.

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

Anne Auger, Dimo Brockhoff, Nikolaus Hansen, 2012, GECCO '12.

Continuous Lunches Are Free Plus the Design of Optimal Optimization Algorithms

Olivier Teytaud, Anne Auger, O. Teytaud, 2010, Algorithmica.

Analysis of Linear Convergence of a (1 + 1)-ES with Augmented Lagrangian Constraint Handling

Anne Auger, Asma Atamna, Nikolaus Hansen, 2016, GECCO.

Tutorial CMA-ES: evolution strategies and covariance matrix adaptation

Anne Auger, Nikolaus Hansen, N. Hansen, 2012, Annual Conference on Genetic and Evolutionary Computation.

Quality Gain Analysis of the Weighted Recombination Evolution Strategy on General Convex Quadratic Functions

Anne Auger, Youhei Akimoto, Nikolaus Hansen, 2016, FOGA '17.

Benchmarking the (1+1)-ES with one-fifth success rule on the BBOB-2009 noisy testbed

Anne Auger, A. Auger, 2009, GECCO '09.

When Do Heavy-Tail Distributions Help?

Anne Auger, Petros Koumoutsakos, Nikolaus Hansen, 2006, PPSN.

Mirrored variants of the (1,2)-CMA-ES compared on the noiseless BBOB-2010 testbed

Anne Auger, Dimo Brockhoff, Nikolaus Hansen, 2010, GECCO '10.

Benchmarking the local metamodel CMA-ES on the noiseless BBOB'2013 test bed

Anne Auger, Dimo Brockhoff, Nikolaus Hansen, 2013, GECCO.

Fractals, Complex Models and Artificial Evolution

Anne Auger, Marc Schoenauer, Michel Guglielmi, 2003 .

The Impact of Search Volume on the Performance of RANDOMSEARCH on the Bi-objective BBOB-2016 Test Suite

Anne Auger, Dimo Brockhoff, Nikolaus Hansen, 2016, GECCO.

Evolution Strategies

Anne Auger, Dirk V. Arnold, Nikolaus Hansen, 2018, Handbook of Computational Intelligence.

On the adaptation of noise level for stochastic optimization

Olivier Teytaud, Anne Auger, O. Teytaud, 2007, 2007 IEEE Congress on Evolutionary Computation.

Hypervolume-based multiobjective optimization: Theoretical foundations and practical implications

Anne Auger, Eckart Zitzler, Johannes Bader, 2012, Theor. Comput. Sci..

COCO: The Large Scale Black-Box Optimization Benchmarking (bbob-largescale) Test Suite pdf

Anne Auger, Dimo Brockhoff, Nikolaus Hansen, 2019, ArXiv.

On invariance and linear convergence of evolution strategies with augmented Lagrangian constraint handling

Anne Auger, Asma Atamna, Nikolaus Hansen, 2020, Theor. Comput. Sci..

Linearly Convergent Evolution Strategies via Augmented Lagrangian Constraint Handling

Anne Auger, Asma Atamna, Nikolaus Hansen, 2017, FOGA '17.

Convergence of the Continuous Time Trajectories of Isotropic Evolution Strategies on Monotonic $\mathcal C^2$ -composite Functions

Anne Auger, Youhei Akimoto, Nikolaus Hansen, 2012, PPSN.

Articulating user preferences in many-objective problems by sampling the weighted hypervolume

Anne Auger, Eckart Zitzler, Johannes Bader, 2009, GECCO.

Mirrored sampling in evolution strategies with weighted recombination

Anne Auger, Dimo Brockhoff, Nikolaus Hansen, 2011, GECCO '11.

Cumulative Step-Size Adaptation on Linear Functions pdf

Anne Auger, Nikolaus Hansen, Alexandre Adrien Chotard, 2012, PPSN.

New Results - Machine Learning for Stochastic Optimisation

Michèle Sebag, Olivier Teytaud, Anne Auger, 2007 .

10361 Abstracts Collection and Executive Summary - Theory of Evolutionary Algorithms

Anne Auger, L. Darrell Whitley, Carsten Witt, 2010, Theory of Evolutionary Algorithms.

Real-Parameter Black-Box Optimization Benchmarking 2009: Noiseless Functions Definitions

Anne Auger, Raymond Ros, Nikolaus Hansen, 2009 .

Analyzing the impact of mirrored sampling and sequential selection in elitist evolution strategies

Anne Auger, Dimo Brockhoff, Nikolaus Hansen, 2011, FOGA '11.

Using Well-Understood Single-Objective Functions in Multiobjective Black-Box Optimization Test Suites

Anne Auger, Dimo Brockhoff, Nikolaus Hansen, 2019, Evolutionary Computation.

Quality gain analysis of the weighted recombination evolution strategy on general convex quadratic functions

Anne Auger, Youhei Akimoto, Nikolaus Hansen, 2020, Theor. Comput. Sci..

Benchmarking the (1,4)-CMA-ES with mirrored sampling and sequential selection on the noiseless BBOB-2010 testbed

Anne Auger, Dimo Brockhoff, Nikolaus Hansen, 2010, GECCO '10.

08051 Executive Summary - Theory of Evolutionary Algorithms

Anne Auger, Dirk V. Arnold, Carsten Witt, 2008, Theory of Evolutionary Algorithms.

Performance evaluation of an advanced local search evolutionary algorithm

Anne Auger, Nikolaus Hansen, N. Hansen, 2005, 2005 IEEE Congress on Evolutionary Computation.

On Bi-Objective convex-quadratic problems pdf

Anne Auger, Dimo Brockhoff, Nikolaus Hansen, 2019, EMO.

Mirrored variants of the (1,4)-CMA-ES compared on the noiseless BBOB-2010 testbed

Anne Auger, Dimo Brockhoff, Nikolaus Hansen, 2010, GECCO '10.

Identification of the isotherm function in chromatography using CMA-ES

Anne Auger, Marc Schoenauer, Mohamed Jebalia, 2007, 2007 IEEE Congress on Evolutionary Computation.

Benchmarking the (1+1)-CMA-ES on the BBOB-2009 function testbed

Anne Auger, Nikolaus Hansen, N. Hansen, 2009, GECCO '09.

On the effect of mirroring in the IPOP active CMA-ES on the noiseless BBOB testbed

Anne Auger, Dimo Brockhoff, Nikolaus Hansen, 2012, GECCO '12.

CMA-ES and advanced adaptation mechanisms

Anne Auger, Youhei Akimoto, Nikolaus Hansen, 2017, GECCO.

Principled Design of Continuous Stochastic Search: From Theory to Practice

Anne Auger, Nikolaus Hansen, N. Hansen, 2014, Theory and Principled Methods for the Design of Metaheuristics.

Markov chain analysis of evolution strategies on a linear constraint optimization problem

Anne Auger, Nikolaus Hansen, Alexandre Adrien Chotard, 2014, 2014 IEEE Congress on Evolutionary Computation (CEC).

Uncrowded hypervolume improvement: COMO-CMA-ES and the sofomore framework

Anne Auger, Dimo Brockhoff, Nikolaus Hansen, 2019, GECCO.

COCO: a platform for comparing continuous optimizers in a black-box setting

Anne Auger, Dimo Brockhoff, Nikolaus Hansen, 2016, Optim. Methods Softw..

Session details: Theory track papers

Anne Auger, Carsten Witt, 2011, GECCO '11.

A Discrete Version of CMA-ES

Eric Benhamou, Anne Auger, Jamal Atif, 2018, ArXiv.

Theory of Randomized Search Heuristics: Foundations and Recent Developments

Anne Auger, Benjamin Doerr, A. Auger, 2011, Theory of Randomized Search Heuristics.

Local and global order 3/2 convergence of a surrogate evolutionary algorithm

Olivier Teytaud, Anne Auger, Marc Schoenauer, 2005, GECCO '05.

On Multiplicative Noise Models for Stochastic Search

Anne Auger, Mohamed Jebalia, A. Auger, 2008, PPSN.

Benchmarking large-scale continuous optimizers: The bbob-largescale testbed, a COCO software guide and beyond

Anne Auger, Dimo Brockhoff, Nikolaus Hansen, 2020, Appl. Soft Comput..

The Impact of Variation Operators on the Performance of SMS-EMOA on the Bi-objective BBOB-2016 Test Suite

Anne Auger, Dimo Brockhoff, Nikolaus Hansen, 2016, GECCO.

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 pdf

Anne Auger, Nikolaus Hansen, N. Hansen, 2013, ArXiv.

Investigating the Local-Meta-Model CMA-ES for Large Population Sizes

Anne Auger, Didier Yu Ding, Zyed Bouzarkouna, 2010, EvoApplications.

Reconsidering the progress rate theory for evolution strategies in finite dimensions

Anne Auger, Nikolaus Hansen, N. Hansen, 2006, GECCO '06.

BBOB 2009: Comparison Tables of All Algorithms on All Noiseless Functions

Anne Auger, Raymond Ros, Nikolaus Hansen, 2010 .

Evolution strategies and related estimation of distribution algorithms

Anne Auger, Nikolaus Hansen, 2008, GECCO '08.

LS-CMA-ES: A Second-Order Algorithm for Covariance Matrix Adaptation

Anne Auger, Marc Schoenauer, Nicolas Vanhaecke, 2004, PPSN.

Drift theory in continuous search spaces: expected hitting time of the (1 + 1)-ES with 1/5 success rule

Anne Auger, Youhei Akimoto, Tobias Glasmachers, 2018, GECCO.

New Results - Applications

Michèle Sebag, Anne Auger, Xiangliang Zhang, 2007 .

COCO: Performance Assessment pdf

Anne Auger, Dimo Brockhoff, Nikolaus Hansen, 2016, ArXiv.

Mirrored variants of the (1,4)-CMA-ES compared on the noisy BBOB-2010 testbed

Anne Auger, Dimo Brockhoff, Nikolaus Hansen, 2010, GECCO '10.

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

Anne Auger, Nikolaus Hansen, Mohamed Jebalia, 2011, Algorithmica.

Impacts of invariance in search: When CMA-ES and PSO face ill-conditioned and non-separable problems

Anne Auger, Raymond Ros, Marc Schoenauer, 2011, Appl. Soft Comput..

A Comparative Study of Large-Scale Variants of CMA-ES

Anne Auger, Dimo Brockhoff, Nikolaus Hansen, 2018, PPSN.

Algorithms (X, sigma, eta): Quasi-random Mutations for Evolution Strategies

Olivier Teytaud, Anne Auger, Mohamed Jebalia, 2005, Artificial Evolution.

Mirrored variants of the (1,2)-CMA-ES compared on the noisy BBOB-2010 testbed

Anne Auger, Dimo Brockhoff, Nikolaus Hansen, 2010, GECCO '10.

Tutorial CMA-ES: evolution strategies and covariance matrix adaptation

Anne Auger, Nikolaus Hansen, 2013, GECCO.

Permuted Orthogonal Block-Diagonal Transformation Matrices for Large Scale Optimization Benchmarking

Anne Auger, Nikolaus Hansen, Ouassim Ait ElHara, 2016, GECCO.

R-leaping: accelerating the stochastic simulation algorithm by reaction leaps.

Anne Auger, Petros Koumoutsakos, Philippe Chatelain, 2006, The Journal of chemical physics.

Benchmarking the (1,4)-CMA-ES with mirrored sampling and sequential selection on the noisy BBOB-2010 testbed

Anne Auger, Dimo Brockhoff, Nikolaus Hansen, 2010, GECCO '10.

Functional Dependency and Degeneracy: Detailed Analysis of the GAuGE System

Conor Ryan, Anne Auger, Miguel Nicolau, 2003, Artificial Evolution.

COCO: The Experimental Procedure pdf

Anne Auger, Dimo Brockhoff, Nikolaus Hansen, 2016, ArXiv.

Linear Convergence of Comparison-based Step-size Adaptive Randomized Search via Stability of Markov Chains

Anne Auger, Nikolaus Hansen, N. Hansen, 2013, SIAM J. Optim..

COCO: The Bi-objective Black Box Optimization Benchmarking (bbob-biobj) Test Suite pdf

Anne Auger, Dimo Brockhoff, Nikolaus Hansen, 2016, ArXiv.

Local-meta-model CMA-ES for partially separable functions

Anne Auger, Didier Yu Ding, Zyed Bouzarkouna, 2011, GECCO '11.

Quantitative Performance Assessment of Multiobjective Optimizers: The Average Runtime Attainment Function

Anne Auger, Dimo Brockhoff, Nikolaus Hansen, 2017, EMO.

Log-Linear Convergence of the Scale-Invariant (µ/µw, lambda)-ES and Optimal µ for Intermediate Recombination for Large Population Sizes

Anne Auger, Mohamed Jebalia, 2010, PPSN.

CMA-ES: evolution strategies and covariance matrix adaptation

Anne Auger, Nikolaus Hansen, N. Hansen, 2011, GECCO.

Comparison-based natural gradient optimization in high dimension

Anne Auger, Youhei Akimoto, Nikolaus Hansen, 2014, GECCO.

Benchmarking: state-of-the-art and beyond

Anne Auger, Nikolaus Hansen, 2021, GECCO Companion.

Preface to the Special Issue on Theory of Genetic and Evolutionary Computation

Per Kristian Lehre, Anne Auger, A. Auger, 2021, Algorithmica.

An ODE method to prove the geometric convergence of adaptive stochastic algorithms

Anne Auger, Youhei Akimoto, Nikolaus Hansen, 2018, Stochastic Processes and their Applications.

Global linear convergence of Evolution Strategies with recombination on scaling-invariant functions

Anne Auger, Nikolaus Hansen, Cheikh Tour'e, 2021 .

DMS and MultiGLODS: black-box optimization benchmarking of two direct search methods on the bbob-biobj test suite

Anne Auger, Dimo Brockhoff, Nikolaus Hansen, 2021, GECCO Companion.

Scaling-invariant Functions versus Positively Homogeneous Functions

Anne Auger, Nikolaus Hansen, Armand Gissler, 2021, Journal of Optimization Theory and Applications.

Partially Separated Meta-models with Evolution Strategies for Well Placement Optimization

Anne Auger, Didier Yu Ding, Zyed Bouzarkouna, 2013 .

On the convergence of the $(1+1)$-ES in noisy spherical environments

Anne Auger, Mohamed Jebalia, 2007 .

Verifiable Conditions for Irreducibility, Aperiodicity and T-chain Property of a General Markov Chain

Anne Auger, Alexandre Chotard, A. Auger, 2015 .

Numerical optimization of laser fields to control molecular orientation

Anne Auger, Eric Cancès, Arne Keller, 2002 .

Empirical comparisons of several derivative free optimization algorithms

Anne Auger, Raymond Ros, Marc Schoenauer, 2009 .