Step-Size Adaption Based on Non-Local Use of Selection Information. - Andreas Ostermeier; Andreas Gawelczyk; Nikolaus Hansen (PPSN, 1994)

A Derandomized Approach to Self Adaptation of Evolution Strategies. - Andreas Ostermeier; Andreas Gawelczyk; Nikolaus Hansen (Evol. Comput., 1994)

On the Adaptation of Arbitrary Normal Mutation Distributions in Evolution Strategies: The Generating Set Adaptation. - Nikolaus Hansen; Andreas Ostermeier; Andreas Gawelczyk (ICGA, 1995)

Adapting Arbitrary Normal Mutation Distributions in Evolution Strategies: The Covariance Matrix Adaptation. - Nikolaus Hansen; Andreas Ostermeier (International Conference on Evolutionary Computation, 1996)

Verallgemeinerte individuelle Schrittweitenregelung in der Evolutionsstrategie - eine Untersuchung zur entstochastisierten, koordinatensystemunabhängigen Adaptation der Mutationsverteilung. - Nikolaus Hansen (Mensch und Buch, 1998)

Invariance, Self-Adaptation and Correlated Mutations and Evolution Strategies. - Nikolaus Hansen (PPSN, 2000)

Completely Derandomized Self-Adaptation in Evolution Strategies. - Nikolaus Hansen; Andreas Ostermeier (Evol. Comput., 2001)

Increasing the Serial and the Parallel Performance of the CMA-Evolution Strategy with Large Populations. - Sibylle D. Müller; Nikolaus Hansen; Petros Koumoutsakos (PPSN, 2002)

Reducing the Time Complexity of the Derandomized Evolution Strategy with Covariance Matrix Adaptation (CMA-ES). - Nikolaus Hansen; Sibylle D. Müller; Petros Koumoutsakos (Evol. Comput., 2003)

Evaluating the CMA Evolution Strategy on Multimodal Test Functions. - Nikolaus Hansen; Stefan Kern (PPSN, 2004)

A Mixed Bayesian Optimization Algorithm with Variance Adaptation. - Jiri Ocenasek; Stefan Kern; Nikolaus Hansen; Petros Koumoutsakos (PPSN, 2004)

Learning probability distributions in continuous evolutionary algorithms - a comparative review. - Stefan Kern; Sibylle D. Müller; Nikolaus Hansen; Dirk Büche; Jiri Ocenasek; Petros Koumoutsakos (Nat. Comput., 2004)

A restart CMA evolution strategy with increasing population size. - Anne Auger; Nikolaus Hansen (Congress on Evolutionary Computation, 2005)

Performance evaluation of an advanced local search evolutionary algorithm. - Anne Auger; Nikolaus Hansen (Congress on Evolutionary Computation, 2005)

The CMA Evolution Strategy: A Comparing Review. - Nikolaus Hansen (Towards a New Evolutionary Computation, 2006)

Reconsidering the progress rate theory for evolution strategies in finite dimensions. - Anne Auger; Nikolaus Hansen (GECCO, 2006)

A computational efficient covariance matrix update and a (1+1)-CMA for evolution strategies. - Christian Igel; Thorsten Suttorp; Nikolaus Hansen (GECCO, 2006)

When Do Heavy-Tail Distributions Help? - Nikolaus Hansen; Fabian Gemperle; Anne Auger; Petros Koumoutsakos (PPSN, 2006)

Local Meta-models for Optimization Using Evolution Strategies. - Stefan Kern; Nikolaus Hansen; Petros Koumoutsakos (PPSN, 2006)

USPEX - Evolutionary crystal structure prediction. - Colin W. Glass; Artem R. Oganov; Nikolaus Hansen (Comput. Phys. Commun., 2006)

An Analysis of Mutative sigma-Self-Adaptation on Linear Fitness Functions. - Nikolaus Hansen (Evol. Comput., 2006)

Steady-State Selection and Efficient Covariance Matrix Update in the Multi-objective CMA-ES. - Christian Igel; Thorsten Suttorp; Nikolaus Hansen (EMO, 2007)

Covariance Matrix Adaptation for Multi-objective Optimization. - Christian Igel; Nikolaus Hansen; Stefan Roth 003 (Evol. Comput., 2007)

Evolution strategies and related estimation of distribution algorithms. - Anne Auger; Nikolaus Hansen (GECCO (Companion), 2008)

Adaptive Encoding: How to Render Search Coordinate System Invariant. - Nikolaus Hansen (PPSN, 2008)

A Simple Modification in CMA-ES Achieving Linear Time and Space Complexity. - Raymond Ros; Nikolaus Hansen (PPSN, 2008)

CMA-ES with Two-Point Step-Size Adaptation - Nikolaus Hansen (CoRR, 2008)

Recombination for Learning Strategy Parameters in the MO-CMA-ES. - Thomas Voß; Nikolaus Hansen; Christian Igel (EMO, 2009)

Benchmarking the (1+1)-CMA-ES on the BBOB-2009 function testbed. - Anne Auger; Nikolaus Hansen (GECCO (Companion), 2009)

Benchmarking the (1+1)-CMA-ES on the BBOB-2009 noisy testbed. - Anne Auger; Nikolaus Hansen (GECCO (Companion), 2009)

Benchmarking a BI-population CMA-ES on the BBOB-2009 function testbed. - Nikolaus Hansen (GECCO (Companion), 2009)

Benchmarking a BI-population CMA-ES on the BBOB-2009 noisy testbed. - Nikolaus Hansen (GECCO (Companion), 2009)

Benchmarking the nelder-mead downhill simplex algorithm with many local restarts. - Nikolaus Hansen (GECCO (Companion), 2009)

Experimental Comparisons of Derivative Free Optimization Algorithms. - Anne Auger; Nikolaus Hansen; Jorge M. Perez Zerpa; Raymond Ros; Marc Schoenauer (SEA, 2009)

Efficient covariance matrix update for variable metric evolution strategies. - Thorsten Suttorp; Nikolaus Hansen; Christian Igel (Mach. Learn., 2009)

A Method for Handling Uncertainty in Evolutionary Optimization With an Application to Feedback Control of Combustion. - Nikolaus Hansen; André S. P. Niederberger; Lino Guzzella; Petros Koumoutsakos (IEEE Trans. Evol. Comput., 2009)

Active covariance matrix adaptation for the (1+1)-CMA-ES. - Dirk V. Arnold; Nikolaus Hansen (GECCO, 2010)

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 (GECCO (Companion), 2010)

Mirrored variants of the (1, 2)-CMA-ES compared on the noiseless BBOB-2010 testbed. - Anne Auger; Dimo Brockhoff; Nikolaus Hansen (GECCO (Companion), 2010)

Mirrored variants of the (1, 4)-CMA-ES compared on the noiseless BBOB-2010 testbed. - Anne Auger; Dimo Brockhoff; Nikolaus Hansen (GECCO (Companion), 2010)

Mirrored variants of the (1, 2)-CMA-ES compared on the noisy BBOB-2010 testbed. - Anne Auger; Dimo Brockhoff; Nikolaus Hansen (GECCO (Companion), 2010)

Mirrored variants of the (1, 4)-CMA-ES compared on the noisy BBOB-2010 testbed. - Anne Auger; Dimo Brockhoff; Nikolaus Hansen (GECCO (Companion), 2010)

Investigating the impact of sequential selection in the (1, 2)-CMA-ES on the noiseless BBOB-2010 testbed. - Anne Auger; Dimo Brockhoff; Nikolaus Hansen (GECCO (Companion), 2010)

Investigating the impact of sequential selection in the (1, 4)-CMA-ES on the noiseless BBOB-2010 testbed. - Anne Auger; Dimo Brockhoff; Nikolaus Hansen (GECCO (Companion), 2010)

Investigating the impact of sequential selection in the (1, 2)-CMA-ES on the noisy BBOB-2010 testbed. - Anne Auger; Dimo Brockhoff; Nikolaus Hansen (GECCO (Companion), 2010)

Investigating the impact of sequential selection in the (1, 4)-CMA-ES on the noisy BBOB-2010 testbed. - Anne Auger; Dimo Brockhoff; Nikolaus Hansen (GECCO (Companion), 2010)

Benchmarking the (1, 4)-CMA-ES with mirrored sampling and sequential selection on the noiseless BBOB-2010 testbed. - Anne Auger; Dimo Brockhoff; Nikolaus Hansen (GECCO (Companion), 2010)

Benchmarking the (1, 4)-CMA-ES with mirrored sampling and sequential selection on the noisy BBOB-2010 testbed. - Anne Auger; Dimo Brockhoff; Nikolaus Hansen (GECCO (Companion), 2010)

Comparing results of 31 algorithms from the black-box optimization benchmarking BBOB-2009. - Nikolaus Hansen; Anne Auger; Raymond Ros; Steffen Finck; Petr Posík (GECCO (Companion), 2010)

Black-box optimization benchmarking of NEWUOA compared to BIPOP-CMA-ES: on the BBOB noiseless testbed. - Nikolaus Hansen; Raymond Ros (GECCO (Companion), 2010)

Benchmarking a weighted negative covariance matrix update on the BBOB-2010 noiseless testbed. - Nikolaus Hansen; Raymond Ros (GECCO (Companion), 2010)

Benchmarking a weighted negative covariance matrix update on the BBOB-2010 noisy testbed. - Nikolaus Hansen; Raymond Ros (GECCO (Companion), 2010)

Improved step size adaptation for the MO-CMA-ES. - Thomas Voß; Nikolaus Hansen; Christian Igel (GECCO, 2010)

Mirrored Sampling and Sequential Selection for Evolution Strategies. - Dimo Brockhoff; Anne Auger; Nikolaus Hansen; Dirk V. Arnold; Tim Hohm (PPSN (1), 2010)

Theory of Evolution Strategies: A New Perspective. - Anne Auger; Nikolaus Hansen (Theory of Randomized Search Heuristics, 2011)

Analyzing the impact of mirrored sampling and sequential selection in elitist evolution strategies. - Anne Auger; Dimo Brockhoff; Nikolaus Hansen (FOGA, 2011)

Mirrored sampling in evolution strategies with weighted recombination. - Anne Auger; Dimo Brockhoff; Nikolaus Hansen (GECCO, 2011)

CMA-ES: evolution strategies and covariance matrix adaptation. - Nikolaus Hansen; Anne Auger (GECCO (Companion), 2011)

Log-Linear Convergence and Divergence of the Scale-Invariant (1+1)-ES in Noisy Environments. - Mohamed Jebalia; Anne Auger; Nikolaus Hansen (Algorithmica, 2011)

Impacts of invariance in search: When CMA-ES and PSO face ill-conditioned and non-separable problems. - Nikolaus Hansen; Raymond Ros; Nikolas Mauny; Marc Schoenauer; Anne Auger (Appl. Soft Comput., 2011)

Injecting External Solutions Into CMA-ES - Nikolaus Hansen (CoRR, 2011)

A (1+1)-CMA-ES for constrained optimisation. - Dirk V. Arnold; Nikolaus Hansen (GECCO, 2012)

On the effect of mirroring in the IPOP active CMA-ES on the noiseless BBOB testbed. - Dimo Brockhoff; Anne Auger; Nikolaus Hansen (GECCO (Companion), 2012)

On the impact of a small initial population size in the IPOP active CMA-ES with mirrored mutations on the noiseless BBOB testbed. - Dimo Brockhoff; Anne Auger; Nikolaus Hansen (GECCO (Companion), 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. - Dimo Brockhoff; Anne Auger; Nikolaus Hansen (GECCO (Companion), 2012)

Comparing mirrored mutations and active covariance matrix adaptation in the IPOP-CMA-ES on the noiseless BBOB testbed. - Dimo Brockhoff; Anne Auger; Nikolaus Hansen (GECCO (Companion), 2012)

Convergence of the Continuous Time Trajectories of Isotropic Evolution Strategies on Monotonic $ mathcal C^2$ -composite Functions. - Youhei Akimoto; Anne Auger; Nikolaus Hansen (PPSN (1), 2012)

Cumulative Step-Size Adaptation on Linear Functions. - Alexandre Adrien Chotard; Anne Auger; Nikolaus Hansen (PPSN (1), 2012)

Scalable structural break detection. - Tamás Éltetö; Nikolaus Hansen; Cécile Germain-Renaud; Pascal Bondon (Appl. Soft Comput., 2012)

Convergence of the Continuous Time Trajectories of Isotropic Evolution Strategies on Monotonic C^2-composite Functions - Youhei Akimoto; Anne Auger; Nikolaus Hansen (CoRR, 2012)

Benchmarking of Continuous Black Box Optimization Algorithms. - Anne Auger; Nikolaus Hansen; Marc Schoenauer (Evol. Comput., 2012)

Benchmarking the local metamodel CMA-ES on the noiseless BBOB'2013 test bed. - Anne Auger; Dimo Brockhoff; Nikolaus Hansen (GECCO (Companion), 2013)

Tutorial CMA-ES: evolution strategies and covariance matrix adaptation. - Anne Auger; Nikolaus Hansen (GECCO (Companion), 2013)

A median success rule for non-elitist evolution strategies: study of feasibility. - Ouassim Ait ElHara; Anne Auger; Nikolaus Hansen (GECCO, 2013)

On Proving Linear Convergence of Comparison-based Step-size Adaptive Randomized Search on Scaling-Invariant Functions via Stability of Markov Chains. - Anne Auger; Nikolaus Hansen (CoRR, 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. - Anne Auger; Nikolaus Hansen (CoRR, 2013)

Theory of Evolutionary Algorithms (Dagstuhl Seminar 13271). - Benjamin Doerr; Nikolaus Hansen; Jonathan L. Shapiro; L. Darrell Whitley (Dagstuhl Reports, 2013)

Markov chain analysis of evolution strategies on a linear constraint optimization problem. - Alexandre Adrien Chotard; Anne Auger; Nikolaus Hansen (IEEE Congress on Evolutionary Computation, 2014)

Comparison-based natural gradient optimization in high dimension. - Youhei Akimoto; Anne Auger; Nikolaus Hansen (GECCO, 2014)

Evolution strategies and CMA-ES (covariance matrix adaptation). - Nikolaus Hansen; Anne Auger (GECCO (Companion), 2014)

How to Assess Step-Size Adaptation Mechanisms in Randomised Search. - Nikolaus Hansen; Asma Atamna; Anne Auger (PPSN, 2014)

Maximum Likelihood-Based Online Adaptation of Hyper-Parameters in CMA-ES. - Ilya Loshchilov; Marc Schoenauer; Michèle Sebag; Nikolaus Hansen (PPSN, 2014)

Principled Design of Continuous Stochastic Search: From Theory to Practice. - Nikolaus Hansen; Anne Auger (Theory and Principled Methods for the Design of Metaheuristics, 2014)

Continuous Optimization and CMA-ES. - Youhei Akimoto; Anne Auger; Nikolaus Hansen (GECCO (Companion), 2015)

Benchmarking Numerical Multiobjective Optimizers Revisited. - Dimo Brockhoff; Thanh-Do Tran; Nikolaus Hansen (GECCO, 2015)

Theory of Evolutionary Algorithms (Dagstuhl Seminar 15211). - Benjamin Doerr; Nikolaus Hansen; Christian Igel; Lothar Thiele (Dagstuhl Reports, 2015)

Markov Chain Analysis of Cumulative Step-Size Adaptation on a Linear Constrained Problem. - Alexandre Adrien Chotard; Anne Auger; Nikolaus Hansen (Evol. Comput., 2015)

Evolution Strategies. - Nikolaus Hansen; Dirk V. Arnold; Anne Auger (Handbook of Computational Intelligence, 2015)

Introduction to Randomized Continuous Optimization. - Youhei Akimoto; Anne Auger; Nikolaus Hansen (GECCO (Companion), 2016)

CMA-ES and Advanced Adaptation Mechanisms. - Youhei Akimoto; Anne Auger; Nikolaus Hansen (GECCO (Companion), 2016)

Projection-Based Restricted Covariance Matrix Adaptation for High Dimension. - Youhei Akimoto; Nikolaus Hansen (GECCO, 2016)

Analysis of Linear Convergence of a (1 + 1)-ES with Augmented Lagrangian Constraint Handling. - Asma Atamna; Anne Auger; Nikolaus Hansen (GECCO, 2016)

GECCO'16 Black-Box Optimization Benchmarking Workshop (BBOB-2016): Workshop Chairs' Welcome Message. - Anne Auger; Dimo Brockhoff; Nikolaus Hansen; Dejan Tusar; Tea Tusar; Tobias Wagner 001 (GECCO (Companion), 2016)

Benchmarking the Pure Random Search on the Bi-objective BBOB-2016 Testbed. - Anne Auger; Dimo Brockhoff; Nikolaus Hansen; Dejan Tusar; Tea Tusar; Tobias Wagner 001 (GECCO (Companion), 2016)

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; Dejan Tusar; Tea Tusar; Tobias Wagner 001 (GECCO (Companion), 2016)

Benchmarking MATLAB's gamultiobj (NSGA-II) on the Bi-objective BBOB-2016 Test Suite. - Anne Auger; Dimo Brockhoff; Nikolaus Hansen; Dejan Tusar; Tea Tusar; Tobias Wagner 001 (GECCO (Companion), 2016)

Benchmarking RM-MEDA on the Bi-objective BBOB-2016 Test Suite. - Anne Auger; Dimo Brockhoff; Nikolaus Hansen; Dejan Tusar; Tea Tusar; Tobias Wagner 001 (GECCO (Companion), 2016)

The Impact of Search Volume on the Performance of RANDOMSEARCH on the Bi-objective BBOB-2016 Test Suite. - Anne Auger; Dimo Brockhoff; Nikolaus Hansen; Dejan Tusar; Tea Tusar; Tobias Wagner 001 (GECCO (Companion), 2016)

Permuted Orthogonal Block-Diagonal Transformation Matrices for Large Scale Optimization Benchmarking. - Ouassim Ait ElHara; Anne Auger; Nikolaus Hansen (GECCO, 2016)

Unbounded Population MO-CMA-ES for the Bi-Objective BBOB Test Suite. - Oswin Krause; Tobias Glasmachers; Nikolaus Hansen; Christian Igel (GECCO (Companion), 2016)

Online Model Selection for Restricted Covariance Matrix Adaptation. - Youhei Akimoto; Nikolaus Hansen (PPSN, 2016)

Augmented Lagrangian Constraint Handling for CMA-ES - Case of a Single Linear Constraint. - Asma Atamna; Anne Auger; Nikolaus Hansen (PPSN, 2016)

Biobjective Performance Assessment with the COCO Platform. - Dimo Brockhoff; Tea Tusar; Dejan Tusar; Tobias Wagner 001; Nikolaus Hansen; Anne Auger (CoRR, 2016)

The CMA Evolution Strategy: A Tutorial. - Nikolaus Hansen (CoRR, 2016)

COCO: Performance Assessment. - Nikolaus Hansen; Anne Auger; Dimo Brockhoff; Dejan Tusar; Tea Tusar (CoRR, 2016)

COCO: A Platform for Comparing Continuous Optimizers in a Black-Box Setting. - Nikolaus Hansen; Anne Auger; Olaf Mersmann; Tea Tusar; Dimo Brockhoff (CoRR, 2016)

COCO: The Experimental Procedure. - Nikolaus Hansen; Tea Tusar; Olaf Mersmann; Anne Auger; Dimo Brockhoff (CoRR, 2016)

COCO: The Bi-objective Black Box Optimization Benchmarking (bbob-biobj) Test Suite. - Tea Tusar; Dimo Brockhoff; Nikolaus Hansen; Anne Auger (CoRR, 2016)

Linear Convergence of Comparison-based Step-size Adaptive Randomized Search via Stability of Markov Chains. - Anne Auger; Nikolaus Hansen (SIAM J. Optim., 2016)

Quantitative Performance Assessment of Multiobjective Optimizers: The Average Runtime Attainment Function. - Dimo Brockhoff; Anne Auger; Nikolaus Hansen; Tea Tusar (EMO, 2017)

Linearly Convergent Evolution Strategies via Augmented Lagrangian Constraint Handling. - Asma Atamna; Anne Auger; Nikolaus Hansen (FOGA, 2017)

CMA-ES and advanced adaptation mechanisms. - Youhei Akimoto; Nikolaus Hansen (GECCO (Companion), 2017)

Introduction to randomized continuous optimization. - Anne Auger; Nikolaus Hansen (GECCO (Companion), 2017)

A practical guide to benchmarking and experimentation. - Nikolaus Hansen (GECCO (Companion), 2017)

Benchmarking CMAES-APOP on the BBOB noiseless testbed. - Duc Manh Nguyen 001; Nikolaus Hansen (GECCO (Companion), 2017)

Information-Geometric Optimization Algorithms: A Unifying Picture via Invariance Principles. - Yann Ollivier; Ludovic Arnold; Anne Auger; Nikolaus Hansen (J. Mach. Learn. Res., 2017)

A practical guide to experimentation. - Nikolaus Hansen (GECCO (Companion), 2018)

A Comparative Study of Large-Scale Variants of CMA-ES. - Konstantinos Varelas; Anne Auger; Dimo Brockhoff; Nikolaus Hansen; Ouassim Ait ElHara; Yann Semet; Rami Kassab; Frédéric Barbaresco (PPSN (1), 2018)

On Bi-objective Convex-Quadratic Problems. - Cheikh Toure; Anne Auger; Dimo Brockhoff; Nikolaus Hansen (EMO, 2019)

The impact of sample volume in random search on the bbob test suite. - Dimo Brockhoff; Nikolaus Hansen (GECCO (Companion), 2019)

A global surrogate assisted CMA-ES. - Nikolaus Hansen (GECCO, 2019)

A practical guide to experimentation (and benchmarking). - Nikolaus Hansen (GECCO (Companion), 2019)

Uncrowded hypervolume improvement: COMO-CMA-ES and the sofomore framework. - Cheikh Touré; Nikolaus Hansen; Anne Auger; Dimo Brockhoff (GECCO, 2019)

Mixed-integer benchmark problems for single- and bi-objective optimization. - Tea Tusar; Dimo Brockhoff; Nikolaus Hansen (GECCO, 2019)

COCO: The Large Scale Black-Box Optimization Benchmarking (bbob-largescale) Test Suite. - Ouassim Ait ElHara; Konstantinos Varelas; Duc Manh Nguyen 001; Tea Tusar; Dimo Brockhoff; Nikolaus Hansen; Anne Auger (CoRR, 2019)

Sparse Inverse Covariance Learning for CMA-ES with Graphical Lasso. - Konstantinos Varelas; Anne Auger; Nikolaus Hansen (PPSN (1), 2020)

Benchmarking large-scale continuous optimizers: The bbob-largescale testbed, a COCO software guide and beyond. - Konstantinos Varelas; Ouassim Ait ElHara; Dimo Brockhoff; Nikolaus Hansen; Duc Manh Nguyen 001; Tea Tusar; Anne Auger (Appl. Soft Comput., 2020)

Diagonal Acceleration for Covariance Matrix Adaptation Evolution Strategies. - Youhei Akimoto; Nikolaus Hansen (Evol. Comput., 2020)

Quality gain analysis of the weighted recombination evolution strategy on general convex quadratic functions. - Youhei Akimoto; Anne Auger; Nikolaus Hansen (Theor. Comput. Sci., 2020)

On invariance and linear convergence of evolution strategies with augmented Lagrangian constraint handling. - Asma Atamna; Anne Auger; Nikolaus Hansen (Theor. Comput. Sci., 2020)

Benchmarking: state-of-the-art and beyond. - Anne Auger; Nikolaus Hansen (GECCO Companion, 2021)

DMS and MultiGLODS: black-box optimization benchmarking of two direct search methods on the bbob-biobj test suite. - Dimo Brockhoff; Baptiste Plaquevent-Jourdain; Anne Auger; Nikolaus Hansen (GECCO Companion, 2021)

Augmented lagrangian, penalty techniques and surrogate modeling for constrained optimization with CMA-ES. - Paul Dufossé; Nikolaus Hansen (GECCO, 2021)

Hypervolume in biobjective optimization cannot converge faster than Ω(1/p). - Eugénie Marescaux; Nikolaus Hansen (GECCO, 2021)

Scaling-invariant Functions versus Positively Homogeneous Functions. - Cheikh Toure; Armand Gissler; Anne Auger; Nikolaus Hansen (J. Optim. Theory Appl., 2021)

COCO: a platform for comparing continuous optimizers in a black-box setting. - Nikolaus Hansen; Anne Auger; Raymond Ros; Olaf Mersmann; Tea Tusar; Dimo Brockhoff (Optim. Methods Softw., 2021)

A (biased) introduction to benchmarking. - Anne Auger; Nikolaus Hansen (GECCO Companion, 2022)

Learning rate adaptation by line search in evolution strategies with recombination. - Armand Gissler; Anne Auger; Nikolaus Hansen (GECCO, 2022)

Using Well-Understood Single-Objective Functions in Multiobjective Black-Box Optimization Test Suites. - Dimo Brockhoff; Anne Auger; Nikolaus Hansen; Tea Tusar (Evol. Comput., 2022)

Anytime Performance Assessment in Blackbox Optimization Benchmarking. - Nikolaus Hansen; Anne Auger; Dimo Brockhoff; Tea Tusar (IEEE Trans. Evol. Comput., 2022)

An Introduction to Scientific Experimentation and Benchmarking. - Anne Auger; Nikolaus Hansen (GECCO Companion, 2023)

Multiobjective Optimization with a Quadratic Surrogate-assisted CMA-ES. - Mohamed Gharafi; Nikolaus Hansen; Dimo Brockhoff; Rodolphe Le Riche (GECCO, 2023)

Benchmarking CMA-ES with Basic Integer Handling on a Mixed-Integer Test Problem Suite. - Tristan Marty; Yann Semet; Anne Auger; Sébastien Héron; Nikolaus Hansen (GECCO Companion, 2023)

Assessment and Evaluation of Empirical and Scientific Data. - Nikolaus Hansen (IJCCI, 2023)

Global linear convergence of evolution strategies with recombination on scaling-invariant functions. - Cheikh Toure; Anne Auger; Nikolaus Hansen (J. Glob. Optim., 2023)

LB+IC-CMA-ES: Two Simple Modifications of CMA-ES to Handle Mixed-Integer Problems. - Tristan Marty; Nikolaus Hansen; Anne Auger; Yann Semet; Sébastien Héron (PPSN (2), 2024)

Asymptotic estimations of a perturbed symmetric eigenproblem. - Armand Gissler; Anne Auger; Nikolaus Hansen (Appl. Math. Lett., 2024)

Classification-Based Linear Surrogate Modeling of Constraints for AL-CMA-ES. - Oskar Girardin; Nikolaus Hansen; Dimo Brockhoff; Anne Auger (GECCO, 2025)