Nikolaus Hansen

166 papers A 36B 4C 5Journal 50Unranked 66
YearRankTypeTitle / Venue / Authors
2025 A conf
Classification-Based Linear Surrogate Modeling of Constraints for AL-CMA-ES.
GECCO
Oskar Girardin, Nikolaus Hansen, Dimo Brockhoff, Anne Auger
2025 — conf
Rank-based Linear-Quadratic Surrogate Assisted CMA-ES.
GECCO Companion
Mohamed Gharafi, Nikolaus Hansen, Rodolphe Le Riche, Dimo Brockhoff
2024 J jnl
Asymptotic estimations of a perturbed symmetric eigenproblem.
Appl. Math. Lett.
Armand Gissler, Anne Auger, Nikolaus Hansen
2024 J jnl
Asymptotic estimations of a perturbed symmetric eigenproblem.
CoRR
Armand Gissler, Anne Auger, Nikolaus Hansen
2024 — conf
LB+IC-CMA-ES: Two Simple Modifications of CMA-ES to Handle Mixed-Integer Problems.
PPSN (2)
Tristan Marty, Nikolaus Hansen, Anne Auger, Yann Semet, Sébastien Héron
2023 — conf
An Introduction to Scientific Experimentation and Benchmarking.
GECCO Companion
Anne Auger, Nikolaus Hansen
2023 C conf
Assessment and Evaluation of Empirical and Scientific Data.
IJCCI
Nikolaus Hansen
2023 — conf
Benchmarking CMA-ES with Basic Integer Handling on a Mixed-Integer Test Problem Suite.
GECCO Companion
Tristan Marty, Yann Semet, Anne Auger, Sébastien Héron, Nikolaus Hansen
2023 — conf
CMA-ES and Advanced Adaptation Mechanisms.
GECCO Companion
Youhei Akimoto, Nikolaus Hansen
2023 J jnl
Global linear convergence of evolution strategies with recombination on scaling-invariant functions.
J. Glob. Optim.
Cheikh Toure, Anne Auger, Nikolaus Hansen
2023 A conf
Multiobjective Optimization with a Quadratic Surrogate-assisted CMA-ES.
GECCO
Mohamed Gharafi, Nikolaus Hansen, Dimo Brockhoff, Rodolphe Le Riche
2022 — conf
A (biased) introduction to benchmarking.
GECCO Companion
Anne Auger, Nikolaus Hansen
2022 J jnl
Anytime Performance Assessment in Blackbox Optimization Benchmarking.
IEEE Trans. Evol. Comput.
Nikolaus Hansen, Anne Auger, Dimo Brockhoff, Tea Tusar
2022 — conf
CMA-ES and advanced adaptation mechanisms.
GECCO Companion
Youhei Akimoto, Nikolaus Hansen
2022 A conf
Learning rate adaptation by line search in evolution strategies with recombination.
GECCO
Armand Gissler, Anne Auger, Nikolaus Hansen
2022 J jnl
Using Well-Understood Single-Objective Functions in Multiobjective Black-Box Optimization Test Suites.
Evol. Comput.
Dimo Brockhoff, Anne Auger, Nikolaus Hansen, Tea Tusar
2021 A conf
Augmented lagrangian, penalty techniques and surrogate modeling for constrained optimization with CMA-ES.
GECCO
Paul Dufossé, Nikolaus Hansen
2021 — conf
Benchmarking: state-of-the-art and beyond.
GECCO Companion
Anne Auger, Nikolaus Hansen
2021 — conf
CMA-ES and advanced adaptation mechanisms.
GECCO Companion
Youhei Akimoto, Nikolaus Hansen
2021 J jnl
COCO: a platform for comparing continuous optimizers in a black-box setting.
Optim. Methods Softw.
Nikolaus Hansen, Anne Auger, Raymond Ros, Olaf Mersmann, Tea Tusar, Dimo Brockhoff
2021 — conf
DMS and MultiGLODS: black-box optimization benchmarking of two direct search methods on the bbob-biobj test suite.
GECCO Companion
Dimo Brockhoff, Baptiste Plaquevent-Jourdain, Anne Auger, Nikolaus Hansen
2021 A conf
Hypervolume in biobjective optimization cannot converge faster than Ω(1/
GECCO
Eugénie Marescaux, Nikolaus Hansen
2021 J jnl
Scaling-invariant Functions versus Positively Homogeneous Functions.
J. Optim. Theory Appl.
Cheikh Toure, Armand Gissler, Anne Auger, Nikolaus Hansen
2020 J jnl
Benchmarking large-scale continuous optimizers: The bbob-largescale testbed, a COCO software guide and beyond.
Appl. Soft Comput.
Konstantinos Varelas, Ouassim Ait ElHara, Dimo Brockhoff, Nikolaus Hansen, Duc Manh Nguyen, Tea Tusar, Anne Auger
2020 J jnl
Diagonal Acceleration for Covariance Matrix Adaptation Evolution Strategies.
Evol. Comput.
Youhei Akimoto, Nikolaus Hansen
2020 J jnl
On invariance and linear convergence of evolution strategies with augmented Lagrangian constraint handling.
Theor. Comput. Sci.
Asma Atamna, Anne Auger, Nikolaus Hansen
2020 J jnl
Quality gain analysis of the weighted recombination evolution strategy on general convex quadratic functions.
Theor. Comput. Sci.
Youhei Akimoto, Anne Auger, Nikolaus Hansen
2020 — conf
Sparse Inverse Covariance Learning for CMA-ES with Graphical Lasso.
PPSN (1)
Konstantinos Varelas, Anne Auger, Nikolaus Hansen
2019 A conf
A global surrogate assisted CMA-ES.
GECCO
Nikolaus Hansen
2019 — conf
A practical guide to experimentation (and benchmarking).
GECCO (Companion)
Nikolaus Hansen
2019 — conf
CMA-ES and advanced adaptation mechanisms.
GECCO (Companion)
Youhei Akimoto, Nikolaus Hansen
2019 J jnl
COCO: The Large Scale Black-Box Optimization Benchmarking (bbob-largescale) Test Suite.
CoRR
Ouassim Ait ElHara, Konstantinos Varelas, Duc Manh Nguyen, Tea Tusar, Dimo Brockhoff, Nikolaus Hansen, Anne Auger
2019 J jnl
Diagonal Acceleration for Covariance Matrix Adaptation Evolution Strategies.
CoRR
Youhei Akimoto, Nikolaus Hansen
2019 A conf
Mixed-integer benchmark problems for single- and bi-objective optimization.
GECCO
Tea Tusar, Dimo Brockhoff, Nikolaus Hansen
2019 C conf
On Bi-objective Convex-Quadratic Problems.
EMO
Cheikh Toure, Anne Auger, Dimo Brockhoff, Nikolaus Hansen
2019 — conf
The impact of sample volume in random search on the bbob test suite.
GECCO (Companion)
Dimo Brockhoff, Nikolaus Hansen
2019 J jnl
Uncrowded Hypervolume Improvement: COMO-CMA-ES and the Sofomore framework.
CoRR
Cheikh Touré, Nikolaus Hansen, Anne Auger, Dimo Brockhoff
2019 A conf
Uncrowded hypervolume improvement: COMO-CMA-ES and the sofomore framework.
GECCO
Cheikh Touré, Nikolaus Hansen, Anne Auger, Dimo Brockhoff
2018 — conf
A Comparative Study of Large-Scale Variants of CMA-ES.
PPSN (1)
Konstantinos Varelas, Anne Auger, Dimo Brockhoff, Nikolaus Hansen, Ouassim Ait ElHara, Yann Semet, Rami Kassab, Frédéric Barbaresco
2018 — conf
A practical guide to experimentation.
GECCO (Companion)
Nikolaus Hansen
2018 — conf
CMA-ES and advanced adaptation mechanisms.
GECCO (Companion)
Youhei Akimoto, Nikolaus Hansen
2018 J jnl
On Bi-Objective convex-quadratic problems.
CoRR
Cheikh Toure, Anne Auger, Dimo Brockhoff, Nikolaus Hansen
2017 — conf
A practical guide to benchmarking and experimentation.
GECCO (Companion)
Nikolaus Hansen
2017 — conf
Benchmarking CMAES-APOP on the BBOB noiseless testbed.
GECCO (Companion)
Duc Manh Nguyen, Nikolaus Hansen
2017 — conf
CMA-ES and advanced adaptation mechanisms.
GECCO (Companion)
Youhei Akimoto, Nikolaus Hansen
2017 J jnl
Information-Geometric Optimization Algorithms: A Unifying Picture via Invariance Principles.
J. Mach. Learn. Res.
Yann Ollivier, Ludovic Arnold, Anne Auger, Nikolaus Hansen
2017 — conf
Introduction to randomized continuous optimization.
GECCO (Companion)
Anne Auger, Nikolaus Hansen
2017 A conf
Linearly Convergent Evolution Strategies via Augmented Lagrangian Constraint Handling.
FOGA
Asma Atamna, Anne Auger, Nikolaus Hansen
2017 A conf
Quality Gain Analysis of the Weighted Recombination Evolution Strategy on General Convex Quadratic Functions.
FOGA
Youhei Akimoto, Anne Auger, Nikolaus Hansen
2017 C conf
Quantitative Performance Assessment of Multiobjective Optimizers: The Average Runtime Attainment Function.
EMO
Dimo Brockhoff, Anne Auger, Nikolaus Hansen, Tea Tusar
2016 A conf
Analysis of Linear Convergence of a (1 + 1)-ES with Augmented Lagrangian Constraint Handling.
GECCO
Asma Atamna, Anne Auger, Nikolaus Hansen
2016 A conf
Augmented Lagrangian Constraint Handling for CMA-ES - Case of a Single Linear Constraint.
PPSN
Asma Atamna, Anne Auger, Nikolaus Hansen
2016 — conf
Benchmarking MATLAB's gamultiobj (NSGA-II) on the Bi-objective BBOB-2016 Test Suite.
GECCO (Companion)
Anne Auger, Dimo Brockhoff, Nikolaus Hansen, Dejan Tusar, Tea Tusar, Tobias Wagner
2016 — conf
Benchmarking RM-MEDA on the Bi-objective BBOB-2016 Test Suite.
GECCO (Companion)
Anne Auger, Dimo Brockhoff, Nikolaus Hansen, Dejan Tusar, Tea Tusar, Tobias Wagner
2016 — conf
Benchmarking the Pure Random Search on the Bi-objective BBOB-2016 Testbed.
GECCO (Companion)
Anne Auger, Dimo Brockhoff, Nikolaus Hansen, Dejan Tusar, Tea Tusar, Tobias Wagner
2016 J jnl
Biobjective Performance Assessment with the COCO Platform.
CoRR
Dimo Brockhoff, Tea Tusar, Dejan Tusar, Tobias Wagner, Nikolaus Hansen, Anne Auger
2016 — conf
CMA-ES and Advanced Adaptation Mechanisms.
GECCO (Companion)
Youhei Akimoto, Anne Auger, Nikolaus Hansen
2016 J jnl
COCO: A Platform for Comparing Continuous Optimizers in a Black-Box Setting.
CoRR
Nikolaus Hansen, Anne Auger, Olaf Mersmann, Tea Tusar, Dimo Brockhoff
2016 J jnl
COCO: Performance Assessment.
CoRR
Nikolaus Hansen, Anne Auger, Dimo Brockhoff, Dejan Tusar, Tea Tusar
2016 J jnl
COCO: The Bi-objective Black Box Optimization Benchmarking (bbob-biobj) Test Suite.
CoRR
Tea Tusar, Dimo Brockhoff, Nikolaus Hansen, Anne Auger
2016 J jnl
COCO: The Experimental Procedure.
CoRR
Nikolaus Hansen, Tea Tusar, Olaf Mersmann, Anne Auger, Dimo Brockhoff
2016 — conf
GECCO'16 Black-Box Optimization Benchmarking Workshop (BBOB-2016): Workshop Chairs' Welcome Message.
GECCO (Companion)
Anne Auger, Dimo Brockhoff, Nikolaus Hansen, Dejan Tusar, Tea Tusar, Tobias Wagner
2016 — conf
Introduction to Randomized Continuous Optimization.
GECCO (Companion)
Youhei Akimoto, Anne Auger, Nikolaus Hansen
2016 J jnl
Linear Convergence of Comparison-based Step-size Adaptive Randomized Search via Stability of Markov Chains.
SIAM J. Optim.
Anne Auger, Nikolaus Hansen
2016 A conf
Online Model Selection for Restricted Covariance Matrix Adaptation.
PPSN
Youhei Akimoto, Nikolaus Hansen
2016 A conf
Permuted Orthogonal Block-Diagonal Transformation Matrices for Large Scale Optimization Benchmarking.
GECCO
Ouassim Ait ElHara, Anne Auger, Nikolaus Hansen
2016 A conf
Projection-Based Restricted Covariance Matrix Adaptation for High Dimension.
GECCO
Youhei Akimoto, Nikolaus Hansen
2016 J jnl
The CMA Evolution Strategy: A Tutorial.
CoRR
Nikolaus Hansen
2016 — conf
The Impact of Search Volume on the Performance of RANDOMSEARCH on the Bi-objective BBOB-2016 Test Suite.
GECCO (Companion)
Anne Auger, Dimo Brockhoff, Nikolaus Hansen, Dejan Tusar, Tea Tusar, Tobias Wagner
2016 — conf
The Impact of Variation Operators on the Performance of SMS-EMOA on the Bi-objective BBOB-2016 Test Suite.
GECCO (Companion)
Anne Auger, Dimo Brockhoff, Nikolaus Hansen, Dejan Tusar, Tea Tusar, Tobias Wagner
2016 — conf
Unbounded Population MO-CMA-ES for the Bi-Objective BBOB Test Suite.
GECCO (Companion)
Oswin Krause, Tobias Glasmachers, Nikolaus Hansen, Christian Igel
2015 A conf
Benchmarking Numerical Multiobjective Optimizers Revisited.
GECCO
Dimo Brockhoff, Thanh-Do Tran, Nikolaus Hansen
2015 — conf
Continuous Optimization and CMA-ES.
GECCO (Companion)
Youhei Akimoto, Anne Auger, Nikolaus Hansen
2015 — ch.
Evolution Strategies.
Handbook of Computational Intelligence
Nikolaus Hansen, Dirk V. Arnold, Anne Auger
2015 J jnl
Markov Chain Analysis of Cumulative Step-Size Adaptation on a Linear Constrained Problem.
Evol. Comput.
Alexandre Adrien Chotard, Anne Auger, Nikolaus Hansen
2015 J jnl
Theory of Evolutionary Algorithms (Dagstuhl Seminar 15211).
Dagstuhl Reports
Benjamin Doerr, Nikolaus Hansen, Christian Igel, Lothar Thiele
2014 A conf
Comparison-based natural gradient optimization in high dimension.
GECCO
Youhei Akimoto, Anne Auger, Nikolaus Hansen
2014 — conf
Evolution strategies and CMA-ES (covariance matrix adaptation).
GECCO (Companion)
Nikolaus Hansen, Anne Auger
2014 A conf
How to Assess Step-Size Adaptation Mechanisms in Randomised Search.
PPSN
Nikolaus Hansen, Asma Atamna, Anne Auger
2014 J jnl
Markov Chain Analysis of Evolution Strategies on a Linear Constraint Optimization Problem.
CoRR
Alexandre Adrien Chotard, Anne Auger, Nikolaus Hansen
2014 B conf
Markov chain analysis of evolution strategies on a linear constraint optimization problem.
IEEE Congress on Evolutionary Computation
Alexandre Adrien Chotard, Anne Auger, Nikolaus Hansen
2014 A conf
Maximum Likelihood-Based Online Adaptation of Hyper-Parameters in CMA-ES.
PPSN
Ilya Loshchilov, Marc Schoenauer, Michèle Sebag, Nikolaus Hansen
2014 J jnl
Maximum Likelihood-based Online Adaptation of Hyper-parameters in CMA-ES.
CoRR
Ilya Loshchilov, Marc Schoenauer, Michèle Sebag, Nikolaus Hansen
2014 — ch.
Principled Design of Continuous Stochastic Search: From Theory to Practice.
Theory and Principled Methods for the Design of Metaheuristics
Nikolaus Hansen, Anne Auger
2013 A conf
A median success rule for non-elitist evolution strategies: study of feasibility.
GECCO
Ouassim Ait ElHara, Anne Auger, Nikolaus Hansen
2013 — conf
Benchmarking the local metamodel CMA-ES on the noiseless BBOB'2013 test bed.
GECCO (Companion)
Anne Auger, Dimo Brockhoff, Nikolaus Hansen
2013 J jnl
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
Anne Auger, Nikolaus Hansen
2013 J jnl
On Proving Linear Convergence of Comparison-based Step-size Adaptive Randomized Search on Scaling-Invariant Functions via Stability of Markov Chains.
CoRR
Anne Auger, Nikolaus Hansen
2013 J jnl
Theory of Evolutionary Algorithms (Dagstuhl Seminar 13271).
Dagstuhl Reports
Benjamin Doerr, Nikolaus Hansen, Jonathan L. Shapiro, L. Darrell Whitley
2013 — conf
Tutorial CMA-ES: evolution strategies and covariance matrix adaptation.
GECCO (Companion)
Anne Auger, Nikolaus Hansen
2012 A conf
A (1+1)-CMA-ES for constrained optimisation.
GECCO
Dirk V. Arnold, Nikolaus Hansen
2012 J jnl
Benchmarking of Continuous Black Box Optimization Algorithms.
Evol. Comput.
Anne Auger, Nikolaus Hansen, Marc Schoenauer
2012 — conf
Comparing mirrored mutations and active covariance matrix adaptation in the IPOP-CMA-ES on the noiseless BBOB testbed.
GECCO (Companion)
Dimo Brockhoff, Anne Auger, Nikolaus Hansen
2012 — conf
Convergence of the Continuous Time Trajectories of Isotropic Evolution Strategies on Monotonic $\mathcal C^2$ -composite Functions.
PPSN (1)
Youhei Akimoto, Anne Auger, Nikolaus Hansen
2012 J jnl
Convergence of the Continuous Time Trajectories of Isotropic Evolution Strategies on Monotonic C^2-composite Functions
CoRR
Youhei Akimoto, Anne Auger, Nikolaus Hansen
2012 — conf
Cumulative Step-Size Adaptation on Linear Functions.
PPSN (1)
Alexandre Adrien Chotard, Anne Auger, Nikolaus Hansen
2012 J jnl
Cumulative Step-size Adaptation on Linear Functions
CoRR
Alexandre Adrien Chotard, Anne Auger, Nikolaus Hansen
2012 J jnl
Cumulative Step-size Adaptation on Linear Functions
CoRR
Alexandre Adrien Chotard, Anne Auger, Nikolaus Hansen
2012 — conf
On the effect of mirroring in the IPOP active CMA-ES on the noiseless BBOB testbed.
GECCO (Companion)
Dimo Brockhoff, Anne Auger, Nikolaus Hansen
2012 — conf
On the impact of a small initial population size in the IPOP active CMA-ES with mirrored mutations on the noiseless BBOB testbed.
GECCO (Companion)
Dimo Brockhoff, Anne Auger, Nikolaus Hansen
2012 — conf
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.
GECCO (Companion)
Dimo Brockhoff, Anne Auger, Nikolaus Hansen
2012 J jnl
Scalable structural break detection.
Appl. Soft Comput.
Tamás Éltetö, Nikolaus Hansen, Cécile Germain-Renaud, Pascal Bondon
2012 — conf
Tutorial CMA-ES: evolution strategies and covariance matrix adaptation.
GECCO (Companion)
Anne Auger, Nikolaus Hansen
2011 A conf
Analyzing the impact of mirrored sampling and sequential selection in elitist evolution strategies.
FOGA
Anne Auger, Dimo Brockhoff, Nikolaus Hansen
2011 — conf
CMA-ES: evolution strategies and covariance matrix adaptation.
GECCO (Companion)
Nikolaus Hansen, Anne Auger
2011 J jnl
Impacts of invariance in search: When CMA-ES and PSO face ill-conditioned and non-separable problems.
Appl. Soft Comput.
Nikolaus Hansen, Raymond Ros, Nikolas Mauny, Marc Schoenauer, Anne Auger
2011 J jnl
Injecting External Solutions Into CMA-ES
CoRR
Nikolaus Hansen
2011 J jnl
Log-Linear Convergence and Divergence of the Scale-Invariant (1+1)-ES in Noisy Environments.
Algorithmica
Mohamed Jebalia, Anne Auger, Nikolaus Hansen
2011 A conf
Mirrored sampling in evolution strategies with weighted recombination.
GECCO
Anne Auger, Dimo Brockhoff, Nikolaus Hansen
2011 — ch.
Theory of Evolution Strategies: A New Perspective.
Theory of Randomized Search Heuristics
Anne Auger, Nikolaus Hansen
2010 A conf
Active covariance matrix adaptation for the (1+1)-CMA-ES.
GECCO
Dirk V. Arnold, Nikolaus Hansen
2010 — conf
Benchmarking a weighted negative covariance matrix update on the BBOB-2010 noiseless testbed.
GECCO (Companion)
Nikolaus Hansen, Raymond Ros
2010 — conf
Benchmarking a weighted negative covariance matrix update on the BBOB-2010 noisy testbed.
GECCO (Companion)
Nikolaus Hansen, Raymond Ros
2010 — conf
Benchmarking the (1, 4)-CMA-ES with mirrored sampling and sequential selection on the noiseless BBOB-2010 testbed.
GECCO (Companion)
Anne Auger, Dimo Brockhoff, Nikolaus Hansen
2010 — conf
Benchmarking the (1, 4)-CMA-ES with mirrored sampling and sequential selection on the noisy BBOB-2010 testbed.
GECCO (Companion)
Anne Auger, Dimo Brockhoff, Nikolaus Hansen
2010 — conf
Black-box optimization benchmarking of NEWUOA compared to BIPOP-CMA-ES: on the BBOB noiseless testbed.
GECCO (Companion)
Nikolaus Hansen, Raymond Ros
2010 — conf
Comparing results of 31 algorithms from the black-box optimization benchmarking BBOB-2009.
GECCO (Companion)
Nikolaus Hansen, Anne Auger, Raymond Ros, Steffen Finck, Petr Posík
2010 — conf
Comparing the (1+1)-CMA-ES with a mirrored (1+2)-CMA-ES with sequential selection on the noiseless BBOB-2010 testbed.
GECCO (Companion)
Anne Auger, Dimo Brockhoff, Nikolaus Hansen
2010 J jnl
Experimental Comparisons of Derivative Free Optimization Algorithms
CoRR
Anne Auger, Nikolaus Hansen, Jorge M. Perez Zerpa, Raymond Ros, Marc Schoenauer
2010 A conf
Improved step size adaptation for the MO-CMA-ES.
GECCO
Thomas Voß, Nikolaus Hansen, Christian Igel
2010 — conf
Investigating the impact of sequential selection in the (1, 2)-CMA-ES on the noiseless BBOB-2010 testbed.
GECCO (Companion)
Anne Auger, Dimo Brockhoff, Nikolaus Hansen
2010 — conf
Investigating the impact of sequential selection in the (1, 2)-CMA-ES on the noisy BBOB-2010 testbed.
GECCO (Companion)
Anne Auger, Dimo Brockhoff, Nikolaus Hansen
2010 — conf
Investigating the impact of sequential selection in the (1, 4)-CMA-ES on the noiseless BBOB-2010 testbed.
GECCO (Companion)
Anne Auger, Dimo Brockhoff, Nikolaus Hansen
2010 — conf
Investigating the impact of sequential selection in the (1, 4)-CMA-ES on the noisy BBOB-2010 testbed.
GECCO (Companion)
Anne Auger, Dimo Brockhoff, Nikolaus Hansen
2010 — conf
Mirrored Sampling and Sequential Selection for Evolution Strategies.
PPSN (1)
Dimo Brockhoff, Anne Auger, Nikolaus Hansen, Dirk V. Arnold, Tim Hohm
2010 — conf
Mirrored variants of the (1, 2)-CMA-ES compared on the noiseless BBOB-2010 testbed.
GECCO (Companion)
Anne Auger, Dimo Brockhoff, Nikolaus Hansen
2010 — conf
Mirrored variants of the (1, 2)-CMA-ES compared on the noisy BBOB-2010 testbed.
GECCO (Companion)
Anne Auger, Dimo Brockhoff, Nikolaus Hansen
2010 — conf
Mirrored variants of the (1, 4)-CMA-ES compared on the noiseless BBOB-2010 testbed.
GECCO (Companion)
Anne Auger, Dimo Brockhoff, Nikolaus Hansen
2010 — conf
Mirrored variants of the (1, 4)-CMA-ES compared on the noisy BBOB-2010 testbed.
GECCO (Companion)
Anne Auger, Dimo Brockhoff, Nikolaus Hansen
2009 J jnl
A Method for Handling Uncertainty in Evolutionary Optimization With an Application to Feedback Control of Combustion.
IEEE Trans. Evol. Comput.
Nikolaus Hansen, André S. P. Niederberger, Lino Guzzella, Petros Koumoutsakos
2009 — conf
Benchmarking a BI-population CMA-ES on the BBOB-2009 function testbed.
GECCO (Companion)
Nikolaus Hansen
2009 — conf
Benchmarking a BI-population CMA-ES on the BBOB-2009 noisy testbed.
GECCO (Companion)
Nikolaus Hansen
2009 — conf
Benchmarking the (1+1)-CMA-ES on the BBOB-2009 function testbed.
GECCO (Companion)
Anne Auger, Nikolaus Hansen
2009 — conf
Benchmarking the (1+1)-CMA-ES on the BBOB-2009 noisy testbed.
GECCO (Companion)
Anne Auger, Nikolaus Hansen
2009 — conf
Benchmarking the nelder-mead downhill simplex algorithm with many local restarts.
GECCO (Companion)
Nikolaus Hansen
2009 J jnl
Efficient covariance matrix update for variable metric evolution strategies.
Mach. Learn.
Thorsten Suttorp, Nikolaus Hansen, Christian Igel
2009 B conf
Experimental Comparisons of Derivative Free Optimization Algorithms.
SEA
Anne Auger, Nikolaus Hansen, Jorge M. Perez Zerpa, Raymond Ros, Marc Schoenauer
2009 C conf
Recombination for Learning Strategy Parameters in the MO-CMA-ES.
EMO
Thomas Voß, Nikolaus Hansen, Christian Igel
2008 A conf
A Simple Modification in CMA-ES Achieving Linear Time and Space Complexity.
PPSN
Raymond Ros, Nikolaus Hansen
2008 A conf
Adaptive Encoding: How to Render Search Coordinate System Invariant.
PPSN
Nikolaus Hansen
2008 J jnl
CMA-ES with Two-Point Step-Size Adaptation
CoRR
Nikolaus Hansen
2008 — conf
Evolution strategies and related estimation of distribution algorithms.
GECCO (Companion)
Anne Auger, Nikolaus Hansen
2007 J jnl
Covariance Matrix Adaptation for Multi-objective Optimization.
Evol. Comput.
Christian Igel, Nikolaus Hansen, Stefan Roth
2007 C conf
Steady-State Selection and Efficient Covariance Matrix Update in the Multi-objective CMA-ES.
EMO
Christian Igel, Thorsten Suttorp, Nikolaus Hansen
2006 A conf
A computational efficient covariance matrix update and a (1+1)-CMA for evolution strategies.
GECCO
Christian Igel, Thorsten Suttorp, Nikolaus Hansen
2006 J jnl
An Analysis of Mutative sigma-Self-Adaptation on Linear Fitness Functions.
Evol. Comput.
Nikolaus Hansen
2006 A conf
Local Meta-models for Optimization Using Evolution Strategies.
PPSN
Stefan Kern, Nikolaus Hansen, Petros Koumoutsakos
2006 A conf
Reconsidering the progress rate theory for evolution strategies in finite dimensions.
GECCO
Anne Auger, Nikolaus Hansen
2006 — ch.
The CMA Evolution Strategy: A Comparing Review.
Towards a New Evolutionary Computation
Nikolaus Hansen
2006 J jnl
USPEX - Evolutionary crystal structure prediction.
Comput. Phys. Commun.
Colin W. Glass, Artem R. Oganov, Nikolaus Hansen
2006 A conf
When Do Heavy-Tail Distributions Help?
PPSN
Nikolaus Hansen, Fabian Gemperle, Anne Auger, Petros Koumoutsakos
2005 B conf
A restart CMA evolution strategy with increasing population size.
Congress on Evolutionary Computation
Anne Auger, Nikolaus Hansen
2005 B conf
Performance evaluation of an advanced local search evolutionary algorithm.
Congress on Evolutionary Computation
Anne Auger, Nikolaus Hansen
2004 A conf
A Mixed Bayesian Optimization Algorithm with Variance Adaptation.
PPSN
Jiri Ocenasek, Stefan Kern, Nikolaus Hansen, Petros Koumoutsakos
2004 A conf
Evaluating the CMA Evolution Strategy on Multimodal Test Functions.
PPSN
Nikolaus Hansen, Stefan Kern
2004 J jnl
Learning Probability Distributions in Continuous Evolutionary Algorithms - a Comparative Review.
Nat. Comput.
Stefan Kern, Sibylle D. Müller, Nikolaus Hansen, Dirk Büche, Jiri Ocenasek, Petros Koumoutsakos
2004 J jnl
Learning probability distributions in continuous evolutionary algorithms - a comparative review.
Nat. Comput.
Stefan Kern, Sibylle D. Müller, Nikolaus Hansen, Dirk Büche, Jiri Ocenasek, Petros Koumoutsakos
2003 J jnl
Reducing the Time Complexity of the Derandomized Evolution Strategy with Covariance Matrix Adaptation (CMA-ES).
Evol. Comput.
Nikolaus Hansen, Sibylle D. Müller, Petros Koumoutsakos
2002 A conf
Increasing the Serial and the Parallel Performance of the CMA-Evolution Strategy with Large Populations.
PPSN
Sibylle D. Müller, Nikolaus Hansen, Petros Koumoutsakos
2001 J jnl
Completely Derandomized Self-Adaptation in Evolution Strategies.
Evol. Comput.
Nikolaus Hansen, Andreas Ostermeier
2000 A conf
Invariance, Self-Adaptation and Correlated Mutations and Evolution Strategies.
PPSN
Nikolaus Hansen
1998 — book
Verallgemeinerte individuelle Schrittweitenregelung in der Evolutionsstrategie - eine Untersuchung zur entstochastisierten, koordinatensystemunabhängigen Adaptation der Mutationsverteilung.
Nikolaus Hansen
1996 — conf
Adapting Arbitrary Normal Mutation Distributions in Evolution Strategies: The Covariance Matrix Adaptation.
International Conference on Evolutionary Computation
Nikolaus Hansen, Andreas Ostermeier
1995 — conf
On the Adaptation of Arbitrary Normal Mutation Distributions in Evolution Strategies: The Generating Set Adaptation.
ICGA
Nikolaus Hansen, Andreas Ostermeier, Andreas Gawelczyk
1994 J jnl
A Derandomized Approach to Self Adaptation of Evolution Strategies.
Evol. Comput.
Andreas Ostermeier, Andreas Gawelczyk, Nikolaus Hansen
1994 A conf
Step-Size Adaption Based on Non-Local Use of Selection Information.
PPSN
Andreas Ostermeier, Andreas Gawelczyk, Nikolaus Hansen