A. Auger

发表

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

A. Auger, 2005 .

Real-Parameter Black-Box Optimization Benchmarking BBOB-2010 : Experimental Setup

N. Hansen, A. Auger, Steffen Finck, 2010 .

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

N. Hansen, A. Auger, A. Chotard, 2015, Evolutionary Computation.

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

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

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

Anne Auger, Raymond Ros, Nikolaus Hansen, 2009 .

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

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

Real-Parameter Black-Box Optimization Benchmarking: Experimental Setup

N. Hansen, A. Auger, Steffen Finck, 2010 .

Evolution Strategies

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

Analyse d’algorithmes stochastiques pour l’optimisation numérique bôıte-noire Analysis of Comparison-based Stochastic Continuous Black-Box Optimization Algorithms

A. Auger, 2016 .

Tutorial CMA-ES: evolution strategies and covariance matrix adaptation

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

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.

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

Youhei Akimoto, Nikolaus Hansen, Anne Auger, 2012 .

Verifiable conditions for the irreducibility and aperiodicity of Markov chains by analyzing underlying deterministic models

A. Auger, A. Chotard, 2015, Bernoulli.

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.

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

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

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

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

Theory of Evolution Strategies: A New Perspective

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

Mirrored Sampling and Sequential Selection for Evolution Strategies

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

A restart CMA evolution strategy with increasing population size

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

Experimental Comparisons of Derivative Free Optimization Algorithms

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

PSO Facing Non-Separable and Ill-Conditioned Problems

N. Hansen, Marc Schoenauer, A. Auger, 2008 .

When Do Heavy-Tail Distributions Help?

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

Continuous Lunches Are Free Plus the Design of Optimal Optimization Algorithms

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

Problem Definitions and Evaluation Criteria for the CEC 2005 Special Session on Real-Parameter Optimization

Jing J. Liang, P. N. Suganthan, Ponnuthurai Nagaratnam Suganthan, 2005 .

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.

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

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

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

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

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..

Well placement optimization with the covariance matrix adaptation evolution strategy and meta-models

A. Auger, Z. Bouzarkouna, D. Ding, 2011, Computational Geosciences.

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

A. Auger, Z. Bouzarkouna, D. Ding, 2011 .

Experimental Comparisons of Derivative Free Optimization Algorithms 1

N. Hansen, Marc Schoenauer, A. Auger, 2010 .

Rigorous analysis of some simple adaptive ES

Marc Schoenauer, A. Auger, C. Bris, 2003 .

OPTIMAL LASER CONTROL OF MOLECULAR SYSTEMS: METHODOLOGY AND RESULTS

A. Auger, E. Cancès, C. Bris, 2002 .

Empirical comparisons of several derivative free optimization algorithms

Anne Auger, Raymond Ros, Marc Schoenauer, 2009 .

Author manuscript, published in "8th International Symposium on Experimental Algorithms, Dortmund: Germany (2009)" Experimental Comparisons of Derivative Free Optimization Algorithms 1

N. Hansen, Marc Schoenauer, A. Auger, 2010 .

IJCAI-07 Reviewers

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

A SIGEVO impact award for a paper arising from the COCO platform

N. Hansen, A. Auger, 2021 .

Chapter 10 Theory of Evolution Strategies : A New Perspective

N. Hansen, A. Auger, 2011 .

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

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

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

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

Investigating the impact of sequential selection in the (1,4)-CMA-ES on the noisy BBOB-2010 testbed

N. Hansen, A. Auger, D. Brockhoff, 2010, GECCO '10.

GECCO ’14: Proceedings of the 2014 conference on Genetic and evolutionary computation

Julian Togelius, Christine Zarges, Hitoshi Iba, 2014 .

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

N. Hansen, A. Auger, Cheikh Tour'e, 2021, 2107.08847.

GECCO Companion ’15: Proceedings of the Companion Publication of the 2015 on Genetic and Evolutionary Computation Conference

Dirk Sudholt, Gisele L. Pappa, Youhei Akimoto, 2015 .

Learning rate adaptation by line search in evolution strategies with recombination

N. Hansen, A. Auger, Armand Gissler, 2022, GECCO.

Introduction to Randomized Continuous Optimization

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

Sparse Inverse Covariance Learning for CMA-ES with Graphical Lasso

Nikolaus Hansen, Anne Auger, Konstantinos Varelas, 2020, Parallel Problem Solving from Nature.

New Results - Applications

Michèle Sebag, Anne Auger, Xiangliang Zhang, 2007 .

New Results - Continuous Optimization

Michèle Sebag, Olivier Teytaud, Anne Auger, 2013 .

Software - COmparing Continuous Optimizers

Anne Auger, Raymond Ros, Marc Schoenauer, 2011 .

New Results - Machine Learning for Stochastic Optimisation

Michèle Sebag, Olivier Teytaud, Anne Auger, 2007 .

Continuous Optimization and CMA-ES

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

Investigating the impact of sequential selection in the (1,4)-CMA-ES on the noiseless BBOB-2010 testbed

N. Hansen, A. Auger, D. Brockhoff, 2010, GECCO '10.

On Invariances in Evolutionary Algorithms

S. Gelly, O. Teytaud, A. Auger, 2006 .

Tutorial CMA-ES: evolution strategies and covariance matrix adaptation

N. Hansen, A. Auger, 2013, Annual Conference on Genetic and Evolutionary Computation.

Fractals, Complex Models and Artificial Evolution

Anne Auger, Marc Schoenauer, Michel Guglielmi, 2003 .

Evolution strategies and CMA-ES (covariance matrix adaptation)

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

New Results - Estimation of Distribution Algorithms

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

New Results - Analysis of some simple adaptive Evolution Strategies

Anne Auger, Marc Schoenauer, Marc Schoenauer, 2003 .

Global linear convergence of evolution strategies with recombination on scaling-invariant functions

N. Hansen, A. Auger, Cheikh Tour'e, 2021, Journal of Global Optimization.

CMA-ES and Advanced Adaptation Mechanisms

N. Hansen, Youhei Akimoto, A. Auger, 2016, Annual Conference on Genetic and Evolutionary Computation.

Theory of Randomized Search Heuristics

A. Auger, C. Witt, 2012, Algorithmica.

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..

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

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

Comparison Tables: BBOB 2009 Noisy Testbed

Anne Auger, Raymond Ros, Nikolaus Hansen, 2010 .

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 .

Real-Parameter Black-Box Optimization Benchmarking 2009: Experimental Setup

Raymond Ros, Nikolaus Hansen, Anne Auger, 2009 .

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.

Scaling-invariant Functions versus Positively Homogeneous Functions

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

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

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

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.

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

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

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

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

Performance evaluation of an advanced local search evolutionary algorithm

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

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

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

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

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

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

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

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

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

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).

Hypervolume-based multiobjective optimization: Theoretical foundations and practical implications

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

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

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

Mirrored sampling in evolution strategies with weighted recombination

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

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

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

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.

Theory of Randomized Search Heuristics: Foundations and Recent Developments

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

Anytime Performance Assessment in Blackbox Optimization Benchmarking

N. Hansen, A. Auger, D. Brockhoff, 2022, IEEE Transactions on Evolutionary Computation.

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

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

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

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

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

N. Hansen, A. Auger, A. Chotard, 2015, Evolutionary Computation.

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

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

Cumulative Step-Size Adaptation on Linear Functions pdf

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

Cumulative Step-size Adaptation on Linear Functions: Technical Report

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

Theory of Randomized Optimization Heuristics (Dagstuhl Seminar 22081)

C. Fonseca, A. Auger, T. Friedrich, 2022, Dagstuhl Reports.

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

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

Biobjective Performance Assessment with the COCO Platform pdf

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

COCO: The Experimental Procedure pdf

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

COCO: Performance Assessment pdf

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

On Multiplicative Noise Models for Stochastic Search

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

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

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

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.

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

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

On the adaptation of noise level for stochastic optimization

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

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

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

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

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

Comparison-based natural gradient optimization in high dimension

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

Global Linear Convergence of Evolution Strategies on More Than Smooth Strongly Convex Functions

Youhei Akimoto, A. Auger, T. Glasmachers, 2020, SIAM J. Optim..

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.

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

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

Numerical optimization of laser fields to control molecular orientation

Anne Auger, Eric Cancès, Arne Keller, 2002 .

Reconsidering the progress rate theory for evolution strategies in finite dimensions

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

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.

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.

Real-Parameter Black-Box Optimization Benchmarking 2009: Experimental Setup

N. Hansen, A. Auger, Steffen Finck, 2009 .

CMA-ES: evolution strategies and covariance matrix adaptation

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

Parallel Problem Solving from Nature – PPSN XV

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

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

N. Hansen, A. Auger, Raymond Ros, 2009 .

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

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

Stopping criteria, initialization, and implementations of BFGS and their effect on the BBOB test suite

Dimo Brockhoff, Anne Auger, Aurore Blelly, 2018, GECCO.

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

Anne Auger, Nikolaus Hansen, Ouassim Ait ElHara, 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.

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.

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

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

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.

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

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

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.

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

Anne Auger, Raymond Ros, Nikolaus Hansen, 2010 .

Benchmarking the pure random search on the BBOB-2009 testbed

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

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

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

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

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

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.

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

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

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

N. Hansen, A. Auger, D. Brockhoff, 2010, GECCO '10.

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

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

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

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

BBO-Benchmarking of Pure Random Search for Noiseless Function Testbed

A. Auger, Raymond Ros, 2009 .

Parallel Problem Solving from Nature – PPSN XV

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

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..

Real-Parameter Black-Box Optimization Benchmarking BBOB-2010 : Experimental Setup

N. Hansen, A. Auger, Steffen Finck, 2010 .

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

Anne Auger, Fabrice Marchal, Dimo Brockhoff, 2010 .

Functional Dependency and Degeneracy: Detailed Analysis of the GAuGE System

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

A Discrete Version of CMA-ES

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

Identification of the isotherm function in chromatography using CMA-ES

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

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

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

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

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

Real-parameter Black-box Optimization Benchmarking Bbob-2010: Experimental Setup

N. Hansen, A. Auger, Steffen Finck, 2010 .

Real-Parameter Black-Box Optimization Benchmarking 2009: Experimental Setup

N. Hansen, A. Auger, Steffen Finck, 2009 .

Experimental Comparisons of Derivative Free Optimization Algorithms (Invited Paper)

N. Hansen, Marc Schoenauer, A. Auger, 2009 .