Nikolaus Hansen

According to our database, Nikolaus Hansen authored at least 147 papers between 1994 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Asymptotic estimations of a perturbed symmetric eigenproblem.

Armand Gissler, Anne Auger, Nikolaus Hansen

Appl. Math. Lett., April, 2024

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

Proceedings of the Parallel Problem Solving from Nature - PPSN XVIII, 2024

2023

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

Cheikh Toure, Anne Auger, Nikolaus Hansen

J. Glob. Optim., May, 2023

Assessment and Evaluation of Empirical and Scientific Data.

Nikolaus Hansen

Proceedings of the 15th International Joint Conference on Computational Intelligence, 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

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Multiobjective Optimization with a Quadratic Surrogate-assisted CMA-ES.

Mohamed Gharafi, Nikolaus Hansen, Dimo Brockhoff, Rodolphe Le Riche

Proceedings of the Genetic and Evolutionary Computation Conference, 2023

An Introduction to Scientific Experimentation and Benchmarking.

Anne Auger, Nikolaus Hansen

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

2022

Anytime Performance Assessment in Blackbox Optimization Benchmarking.

Nikolaus Hansen, Anne Auger, Dimo Brockhoff, Tea Tusar

IEEE Trans. Evol. Comput., 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

Learning rate adaptation by line search in evolution strategies with recombination.

Armand Gissler, Anne Auger, Nikolaus Hansen

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

A (biased) introduction to benchmarking.

Anne Auger, Nikolaus Hansen

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.

Nikolaus Hansen, Anne Auger, Raymond Ros, Olaf Mersmann, Tea Tusar, Dimo Brockhoff

Optim. Methods Softw., 2021

Scaling-invariant Functions versus Positively Homogeneous Functions.

Cheikh Toure, Armand Gissler, Anne Auger, Nikolaus Hansen

J. Optim. Theory Appl., 2021

Hypervolume in biobjective optimization cannot converge faster than Ω(1/<i>p</i>).

Eugénie Marescaux, Nikolaus Hansen

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Augmented lagrangian, penalty techniques and surrogate modeling for constrained optimization with CMA-ES.

Paul Dufossé, Nikolaus Hansen

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.

Dimo Brockhoff, Baptiste Plaquevent-Jourdain, Anne Auger, Nikolaus Hansen

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Benchmarking: state-of-the-art and beyond.

Anne Auger, Nikolaus Hansen

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.

Asma Atamna, Anne Auger, Nikolaus Hansen

Theor. Comput. Sci., 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

Diagonal Acceleration for Covariance Matrix Adaptation Evolution Strategies.

Youhei Akimoto, Nikolaus Hansen

Evol. Comput., 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, Tea Tusar, Anne Auger

Appl. Soft Comput., 2020

Sparse Inverse Covariance Learning for CMA-ES with Graphical Lasso.

Konstantinos Varelas, Anne Auger, Nikolaus Hansen

Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

2019

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

Ouassim Ait ElHara, Konstantinos Varelas, Duc Manh Nguyen, Tea Tusar, Dimo Brockhoff, Nikolaus Hansen, Anne Auger

CoRR, 2019

Mixed-integer benchmark problems for single- and bi-objective optimization.

Tea Tusar, Dimo Brockhoff, Nikolaus Hansen

Proceedings of the Genetic and Evolutionary Computation Conference, 2019

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

Cheikh Touré, Nikolaus Hansen, Anne Auger, Dimo Brockhoff

Proceedings of the Genetic and Evolutionary Computation Conference, 2019

A practical guide to experimentation (and benchmarking).

Nikolaus Hansen

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

A global surrogate assisted CMA-ES.

Nikolaus Hansen

Proceedings of the Genetic and Evolutionary Computation Conference, 2019

The impact of sample volume in random search on the bbob test suite.

Dimo Brockhoff, Nikolaus Hansen

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

On Bi-objective Convex-Quadratic Problems.

Cheikh Toure, Anne Auger, Dimo Brockhoff, Nikolaus Hansen

Proceedings of the Evolutionary Multi-Criterion Optimization, 2019

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

Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018

A practical guide to experimentation.

Nikolaus Hansen

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

2017

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

Yann Ollivier, Ludovic Arnold, Anne Auger, Nikolaus Hansen

J. Mach. Learn. Res., 2017

Benchmarking CMAES-APOP on the BBOB noiseless testbed.

Duc Manh Nguyen, Nikolaus Hansen

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

A practical guide to benchmarking and experimentation.

Nikolaus Hansen

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Introduction to randomized continuous optimization.

Anne Auger, Nikolaus Hansen

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

CMA-ES and advanced adaptation mechanisms.

Youhei Akimoto, Nikolaus Hansen

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Linearly Convergent Evolution Strategies via Augmented Lagrangian Constraint Handling.

Asma Atamna, Anne Auger, Nikolaus Hansen

Proceedings of the 14th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, 2017

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

Dimo Brockhoff, Anne Auger, Nikolaus Hansen, Tea Tusar

Proceedings of the Evolutionary Multi-Criterion Optimization, 2017

2016

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

Anne Auger, Nikolaus Hansen

SIAM J. Optim., 2016

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

Tea Tusar, Dimo Brockhoff, Nikolaus Hansen, Anne Auger

CoRR, 2016

COCO: The Experimental Procedure.

Nikolaus Hansen, Tea Tusar, Olaf Mersmann, Anne Auger, Dimo Brockhoff

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: Performance Assessment.

Nikolaus Hansen, Anne Auger, Dimo Brockhoff, Dejan Tusar, Tea Tusar

CoRR, 2016

The CMA Evolution Strategy: A Tutorial.

Nikolaus Hansen

CoRR, 2016

Biobjective Performance Assessment with the COCO Platform.

Dimo Brockhoff, Tea Tusar, Dejan Tusar, Tobias Wagner, Nikolaus Hansen, Anne Auger

CoRR, 2016

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

Asma Atamna, Anne Auger, Nikolaus Hansen

Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016

Online Model Selection for Restricted Covariance Matrix Adaptation.

Youhei Akimoto, Nikolaus Hansen

Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016

Unbounded Population MO-CMA-ES for the Bi-Objective BBOB Test Suite.

Oswin Krause, Tobias Glasmachers, Nikolaus Hansen, Christian Igel

Proceedings of the Genetic and Evolutionary Computation Conference, 2016

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

Ouassim Ait ElHara, Anne Auger, Nikolaus Hansen

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.

Anne Auger, Dimo Brockhoff, Nikolaus Hansen, Dejan Tusar, Tea Tusar, Tobias Wagner

Proceedings of the Genetic and Evolutionary Computation Conference, 2016

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

Anne Auger, Dimo Brockhoff, Nikolaus Hansen, Dejan Tusar, Tea Tusar, Tobias Wagner

Proceedings of the Genetic and Evolutionary Computation Conference, 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

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.

Anne Auger, Dimo Brockhoff, Nikolaus Hansen, Dejan Tusar, Tea Tusar, Tobias Wagner

Proceedings of the Genetic and Evolutionary Computation Conference, 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

Proceedings of the Genetic and Evolutionary Computation Conference, 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

Proceedings of the Genetic and Evolutionary Computation Conference, 2016

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

Asma Atamna, Anne Auger, Nikolaus Hansen

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.

Youhei Akimoto, Nikolaus Hansen

Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

CMA-ES and Advanced Adaptation Mechanisms.

Youhei Akimoto, Anne Auger, Nikolaus Hansen

Proceedings of the Genetic and Evolutionary Computation Conference, 2016

Introduction to Randomized Continuous Optimization.

Youhei Akimoto, Anne Auger, Nikolaus Hansen

Proceedings of the Genetic and Evolutionary Computation Conference, 2016

2015

Evolution Strategies.

Nikolaus Hansen, Dirk V. Arnold, Anne Auger

Proceedings of the Springer Handbook of Computational Intelligence, 2015

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

Alexandre Adrien Chotard, Anne Auger, Nikolaus Hansen

Evol. Comput., 2015

Theory of Evolutionary Algorithms (Dagstuhl Seminar 15211).

Benjamin Doerr, Nikolaus Hansen, Christian Igel, Lothar Thiele

Dagstuhl Reports, 2015

Benchmarking Numerical Multiobjective Optimizers Revisited.

Dimo Brockhoff, Thanh-Do Tran, Nikolaus Hansen

Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Continuous Optimization and CMA-ES.

Youhei Akimoto, Anne Auger, Nikolaus Hansen

Proceedings of the Genetic and Evolutionary Computation Conference, 2015

2014

Principled Design of Continuous Stochastic Search: From Theory to Practice.

Nikolaus Hansen, Anne Auger

Proceedings of the Theory and Principled Methods for the Design of Metaheuristics, 2014

Maximum Likelihood-Based Online Adaptation of Hyper-Parameters in CMA-ES.

Ilya Loshchilov, Marc Schoenauer, Michèle Sebag, Nikolaus Hansen

Proceedings of the Parallel Problem Solving from Nature - PPSN XIII, 2014

How to Assess Step-Size Adaptation Mechanisms in Randomised Search.

Nikolaus Hansen, Asma Atamna, Anne Auger

Proceedings of the Parallel Problem Solving from Nature - PPSN XIII, 2014

Evolution strategies and CMA-ES (covariance matrix adaptation).

Nikolaus Hansen, Anne Auger

Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Comparison-based natural gradient optimization in high dimension.

Youhei Akimoto, Anne Auger, Nikolaus Hansen

Proceedings of the Genetic and Evolutionary Computation Conference, 2014

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

Alexandre Adrien Chotard, Anne Auger, Nikolaus Hansen

Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013

Theory of Evolutionary Algorithms (Dagstuhl Seminar 13271).

Benjamin Doerr, Nikolaus Hansen, Jonathan L. Shapiro, L. Darrell Whitley

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.

Anne Auger, Nikolaus Hansen

CoRR, 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

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

Ouassim Ait ElHara, Anne Auger, Nikolaus Hansen

Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Tutorial CMA-ES: evolution strategies and covariance matrix adaptation.

Anne Auger, Nikolaus Hansen

Proceedings of the Genetic and Evolutionary Computation Conference, 2013

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

Anne Auger, Dimo Brockhoff, Nikolaus Hansen

Proceedings of the Genetic and Evolutionary Computation Conference, 2013

2012

Benchmarking of Continuous Black Box Optimization Algorithms.

Anne Auger, Nikolaus Hansen, Marc Schoenauer

Evol. 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

Scalable structural break detection.

Tamás Éltetö, Nikolaus Hansen, Cécile Germain-Renaud, Pascal Bondon

Appl. Soft Comput., 2012

Cumulative Step-Size Adaptation on Linear Functions.

Alexandre Adrien Chotard, Anne Auger, Nikolaus Hansen

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.

Youhei Akimoto, Anne Auger, Nikolaus Hansen

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.

Dimo Brockhoff, Anne Auger, Nikolaus Hansen

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.

Dimo Brockhoff, Anne Auger, Nikolaus Hansen

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.

Dimo Brockhoff, Anne Auger, Nikolaus Hansen

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.

Dimo Brockhoff, Anne Auger, Nikolaus Hansen

Proceedings of the Genetic and Evolutionary Computation Conference, 2012

A (1+1)-CMA-ES for constrained optimisation.

Dirk V. Arnold, Nikolaus Hansen

Proceedings of the Genetic and Evolutionary Computation Conference, 2012

2011

Injecting External Solutions Into CMA-ES

Nikolaus Hansen

CoRR, 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

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

Mohamed Jebalia, Anne Auger, Nikolaus Hansen

Algorithmica, 2011

CMA-ES: evolution strategies and covariance matrix adaptation.

Nikolaus Hansen, Anne Auger

Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Mirrored sampling in evolution strategies with weighted recombination.

Anne Auger, Dimo Brockhoff, Nikolaus Hansen

Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

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

Anne Auger, Dimo Brockhoff, Nikolaus Hansen

Proceedings of the Foundations of Genetic Algorithms, 11th International Workshop, 2011

Theory of Evolution Strategies: A New Perspective.

Anne Auger, Nikolaus Hansen

Proceedings of the Theory of Randomized Search Heuristics: Foundations and Recent Developments., 2011

2010

Mirrored Sampling and Sequential Selection for Evolution Strategies.

Dimo Brockhoff, Anne Auger, Nikolaus Hansen, Dirk V. Arnold, Tim Hohm

Proceedings of the Parallel Problem Solving from Nature, 2010

Improved step size adaptation for the MO-CMA-ES.

Thomas Voß, Nikolaus Hansen, Christian Igel

Proceedings of the Genetic and Evolutionary Computation Conference, 2010

Benchmarking a weighted negative covariance matrix update on the BBOB-2010 noisy testbed.

Nikolaus Hansen, Raymond Ros

Proceedings of the Genetic and Evolutionary Computation Conference, 2010

Benchmarking a weighted negative covariance matrix update on the BBOB-2010 noiseless testbed.

Nikolaus Hansen, Raymond Ros

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.

Nikolaus Hansen, Raymond Ros

Proceedings of the Genetic and Evolutionary Computation Conference, 2010

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

Nikolaus Hansen, Anne Auger, Raymond Ros, Steffen Finck, Petr Posík

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.

Anne Auger, Dimo Brockhoff, Nikolaus Hansen

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.

Anne Auger, Dimo Brockhoff, Nikolaus Hansen

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.

Anne Auger, Dimo Brockhoff, Nikolaus Hansen

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.

Anne Auger, Dimo Brockhoff, Nikolaus Hansen

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.

Anne Auger, Dimo Brockhoff, Nikolaus Hansen

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.

Anne Auger, Dimo Brockhoff, Nikolaus Hansen

Proceedings of the Genetic and Evolutionary Computation Conference, 2010

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

Anne Auger, Dimo Brockhoff, Nikolaus Hansen

Proceedings of the Genetic and Evolutionary Computation Conference, 2010

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

Anne Auger, Dimo Brockhoff, Nikolaus Hansen

Proceedings of the Genetic and Evolutionary Computation Conference, 2010

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

Anne Auger, Dimo Brockhoff, Nikolaus Hansen

Proceedings of the Genetic and Evolutionary Computation Conference, 2010

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

Anne Auger, Dimo Brockhoff, Nikolaus Hansen

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.

Anne Auger, Dimo Brockhoff, Nikolaus Hansen

Proceedings of the Genetic and Evolutionary Computation Conference, 2010

Active covariance matrix adaptation for the (1+1)-CMA-ES.

Dirk V. Arnold, Nikolaus Hansen

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.

Nikolaus Hansen, André S. P. Niederberger, Lino Guzzella, Petros Koumoutsakos

IEEE Trans. Evol. Comput., 2009

Efficient covariance matrix update for variable metric evolution strategies.

Thorsten Suttorp, Nikolaus Hansen, Christian Igel

Mach. Learn., 2009

Experimental Comparisons of Derivative Free Optimization Algorithms.

Anne Auger, Nikolaus Hansen, Jorge M. Perez Zerpa, Raymond Ros, Marc Schoenauer

Proceedings of the Experimental Algorithms, 8th International Symposium, 2009

Benchmarking the nelder-mead downhill simplex algorithm with many local restarts.

Nikolaus Hansen

Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Benchmarking a BI-population CMA-ES on the BBOB-2009 noisy testbed.

Nikolaus Hansen

Proceedings of the Genetic and Evolutionary Computation Conference, 2009

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

Nikolaus Hansen

Proceedings of the Genetic and Evolutionary Computation Conference, 2009

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

Anne Auger, Nikolaus Hansen

Proceedings of the Genetic and Evolutionary Computation Conference, 2009

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

Anne Auger, Nikolaus Hansen

Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Recombination for Learning Strategy Parameters in the MO-CMA-ES.

Thomas Voß, Nikolaus Hansen, Christian Igel

Proceedings of the Evolutionary Multi-Criterion Optimization, 5th International Conference, 2009

2008

CMA-ES with Two-Point Step-Size Adaptation

Nikolaus Hansen

CoRR, 2008

A Simple Modification in CMA-ES Achieving Linear Time and Space Complexity.

Raymond Ros, Nikolaus Hansen

Proceedings of the Parallel Problem Solving from Nature, 2008

Adaptive Encoding: How to Render Search Coordinate System Invariant.

Nikolaus Hansen

Proceedings of the Parallel Problem Solving from Nature, 2008

Evolution strategies and related estimation of distribution algorithms.

Anne Auger, Nikolaus Hansen

Proceedings of the Genetic and Evolutionary Computation Conference, 2008

2007

Covariance Matrix Adaptation for Multi-objective Optimization.

Christian Igel, Nikolaus Hansen, Stefan Roth

Evol. Comput., 2007

Steady-State Selection and Efficient Covariance Matrix Update in the Multi-objective CMA-ES.

Christian Igel, Thorsten Suttorp, Nikolaus Hansen

Proceedings of the Evolutionary Multi-Criterion Optimization, 4th International Conference, 2007

2006

An Analysis of Mutative sigma-Self-Adaptation on Linear Fitness Functions.

Nikolaus Hansen

Evol. Comput., 2006

USPEX - Evolutionary crystal structure prediction.

Colin W. Glass, Artem R. Oganov, Nikolaus Hansen

Comput. Phys. Commun., 2006

Local Meta-models for Optimization Using Evolution Strategies.

Stefan Kern, Nikolaus Hansen, Petros Koumoutsakos

Proceedings of the Parallel Problem Solving from Nature, 2006

When Do Heavy-Tail Distributions Help?

Nikolaus Hansen, Fabian Gemperle, Anne Auger, Petros Koumoutsakos

Proceedings of the Parallel Problem Solving from Nature, 2006

A computational efficient covariance matrix update and a (1+1)-CMA for evolution strategies.

Christian Igel, Thorsten Suttorp, Nikolaus Hansen

Proceedings of the Genetic and Evolutionary Computation Conference, 2006

Reconsidering the progress rate theory for evolution strategies in finite dimensions.

Anne Auger, Nikolaus Hansen

Proceedings of the Genetic and Evolutionary Computation Conference, 2006

The CMA Evolution Strategy: A Comparing Review.

Nikolaus Hansen

Proceedings of the Towards a New Evolutionary Computation, 2006

2005

Performance evaluation of an advanced local search evolutionary algorithm.

Anne Auger, Nikolaus Hansen

Proceedings of the IEEE Congress on Evolutionary Computation, 2005

A restart CMA evolution strategy with increasing population size.

Anne Auger, Nikolaus Hansen

Proceedings of the IEEE Congress on Evolutionary Computation, 2005

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 Mixed Bayesian Optimization Algorithm with Variance Adaptation.

Jiri Ocenasek, Stefan Kern, Nikolaus Hansen, Petros Koumoutsakos

Proceedings of the Parallel Problem Solving from Nature, 2004

Evaluating the CMA Evolution Strategy on Multimodal Test Functions.

Nikolaus Hansen, Stefan Kern

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).

Nikolaus Hansen, Sibylle D. Müller, Petros Koumoutsakos

Evol. Comput., 2003

2002

Increasing the Serial and the Parallel Performance of the CMA-Evolution Strategy with Large Populations.

Sibylle D. Müller, Nikolaus Hansen, Petros Koumoutsakos

Proceedings of the Parallel Problem Solving from Nature, 2002

2001

Completely Derandomized Self-Adaptation in Evolution Strategies.

Nikolaus Hansen, Andreas Ostermeier

Evol. Comput., 2001

2000

Invariance, Self-Adaptation and Correlated Mutations and Evolution Strategies.

Nikolaus Hansen

Proceedings of the Parallel Problem Solving from Nature, 2000

1998

Verallgemeinerte individuelle Schrittweitenregelung in der Evolutionsstrategie - eine Untersuchung zur entstochastisierten, koordinatensystemunabhängigen Adaptation der Mutationsverteilung.

Nikolaus Hansen

Mensch und Buch, ISBN: 978-3-933346-29-2, 1998

1996

Adapting Arbitrary Normal Mutation Distributions in Evolution Strategies: The Covariance Matrix Adaptation.

Nikolaus Hansen, Andreas Ostermeier

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.

Nikolaus Hansen, Andreas Ostermeier, Andreas Gawelczyk

Proceedings of the 6th International Conference on Genetic Algorithms, 1995

1994

A Derandomized Approach to Self Adaptation of Evolution Strategies.

Andreas Ostermeier, Andreas Gawelczyk, Nikolaus Hansen

Evol. Comput., 1994

Step-Size Adaption Based on Non-Local Use of Selection Information.

Andreas Ostermeier, Andreas Gawelczyk, Nikolaus Hansen

Proceedings of the Parallel Problem Solving from Nature, 1994