# Nikolaus Hansen

According to our database1, Nikolaus Hansen authored at least 139 papers between 1994 and 2022.

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## Bibliography

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

Hypervolume in biobjective optimization cannot converge faster than Ω(1/<i>p</i>).
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Augmented lagrangian, penalty techniques and surrogate modeling for constrained optimization with CMA-ES.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 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
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

Diagonal Acceleration for Covariance Matrix Adaptation Evolution Strategies.
Evol. Comput., 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

Mixed-integer benchmark problems for single- and bi-objective optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

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

A practical guide to experimentation (and benchmarking).
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

A global surrogate assisted CMA-ES.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

The impact of sample volume in random search on the bbob test suite.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

On Bi-objective Convex-Quadratic Problems.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2019

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

A practical guide to experimentation.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

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

Benchmarking CMAES-APOP on the BBOB noiseless testbed.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

A practical guide to benchmarking and experimentation.
Proceedings of the Genetic and Evolutionary Computation Conference, 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
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

The CMA Evolution Strategy: A Tutorial.
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

Online Model Selection for Restricted Covariance Matrix Adaptation.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016

Unbounded Population MO-CMA-ES for the Bi-Objective BBOB Test Suite.
Proceedings of the Genetic and Evolutionary Computation Conference, 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

Projection-Based Restricted Covariance Matrix Adaptation for High Dimension.
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

Theory of Evolutionary Algorithms (Dagstuhl Seminar 15211).
Dagstuhl Reports, 2015

Benchmarking Numerical Multiobjective Optimizers Revisited.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Continuous Optimization and CMA-ES.
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

Maximum Likelihood-Based Online Adaptation of Hyper-Parameters in CMA-ES.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIII, 2014

How to Assess Step-Size Adaptation Mechanisms in Randomised Search.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIII, 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
Theory of Evolutionary Algorithms (Dagstuhl Seminar 13271).
Dagstuhl Reports, 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
Benchmarking of Continuous Black Box Optimization Algorithms.
Evol. Comput., 2012

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

Scalable structural break detection.
Appl. Soft Comput., 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

A (1+1)-CMA-ES for constrained optimisation.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

2011
Injecting External Solutions Into CMA-ES
CoRR, 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

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

Improved step size adaptation for the MO-CMA-ES.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

Benchmarking a weighted negative covariance matrix update on the BBOB-2010 noisy testbed.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

Benchmarking a weighted negative covariance matrix update on the BBOB-2010 noiseless testbed.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

Black-box optimization benchmarking of NEWUOA compared to BIPOP-CMA-ES: on the BBOB noiseless testbed.
Proceedings of the Genetic and Evolutionary Computation Conference, 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

Active covariance matrix adaptation for the (1+1)-CMA-ES.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

2009
A Method for Handling Uncertainty in Evolutionary Optimization With an Application to Feedback Control of Combustion.
IEEE Trans. Evol. Comput., 2009

Efficient covariance matrix update for variable metric evolution strategies.
Mach. Learn., 2009

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

Benchmarking the nelder-mead downhill simplex algorithm with many local restarts.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Benchmarking a BI-population CMA-ES on the BBOB-2009 noisy testbed.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Benchmarking a BI-population CMA-ES on the BBOB-2009 function 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

Recombination for Learning Strategy Parameters in the MO-CMA-ES.
Proceedings of the Evolutionary Multi-Criterion Optimization, 5th International Conference, 2009

2008
CMA-ES with Two-Point Step-Size Adaptation
CoRR, 2008

A Simple Modification in CMA-ES Achieving Linear Time and Space Complexity.
Proceedings of the Parallel Problem Solving from Nature, 2008

Adaptive Encoding: How to Render Search Coordinate System Invariant.
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

2007
Covariance Matrix Adaptation for Multi-objective Optimization.
Evol. Comput., 2007

Steady-State Selection and Efficient Covariance Matrix Update in the Multi-objective CMA-ES.
Proceedings of the Evolutionary Multi-Criterion Optimization, 4th International Conference, 2007

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

USPEX - Evolutionary crystal structure prediction.
Comput. Phys. Commun., 2006

Local Meta-models for Optimization Using Evolution Strategies.
Proceedings of the Parallel Problem Solving from Nature, 2006

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

A computational efficient covariance matrix update and a (1+1)-CMA for evolution strategies.
Proceedings of the Genetic and Evolutionary Computation Conference, 2006

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

The CMA Evolution Strategy: A Comparing Review.
Proceedings of the Towards a New Evolutionary Computation, 2006

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

2004
Learning Probability Distributions in Continuous Evolutionary Algorithms - a Comparative Review.
Nat. Comput., 2004

A Mixed Bayesian Optimization Algorithm with Variance Adaptation.
Proceedings of the Parallel Problem Solving from Nature, 2004

Evaluating the CMA Evolution Strategy on Multimodal Test Functions.
Proceedings of the Parallel Problem Solving from Nature, 2004

2003
Reducing the Time Complexity of the Derandomized Evolution Strategy with Covariance Matrix Adaptation (CMA-ES).
Evol. Comput., 2003

2002
Increasing the Serial and the Parallel Performance of the CMA-Evolution Strategy with Large Populations.
Proceedings of the Parallel Problem Solving from Nature, 2002

2001
Completely Derandomized Self-Adaptation in Evolution Strategies.
Evol. Comput., 2001

2000
Invariance, Self-Adaptation and Correlated Mutations and Evolution Strategies.
Proceedings of the Parallel Problem Solving from Nature, 2000

1998
Verallgemeinerte individuelle Schrittweitenregelung in der Evolutionsstrategie - eine Untersuchung zur entstochastisierten, koordinatensystemunabhängigen Adaptation der Mutationsverteilung.
Mensch und Buch, ISBN: 978-3-933346-29-2, 1998

1996
Adapting Arbitrary Normal Mutation Distributions in Evolution Strategies: The Covariance Matrix Adaptation.
Proceedings of 1996 IEEE International Conference on Evolutionary Computation, 1996

1995
On the Adaptation of Arbitrary Normal Mutation Distributions in Evolution Strategies: The Generating Set Adaptation.
Proceedings of the 6th International Conference on Genetic Algorithms, 1995

1994
A Derandomized Approach to Self Adaptation of Evolution Strategies.
Evol. Comput., 1994

Step-Size Adaption Based on Non-Local Use of Selection Information.
Proceedings of the Parallel Problem Solving from Nature, 1994