N. Hansen

发表

Adapting arbitrary normal mutation distributions in evolution strategies: the covariance matrix adaptation

Nikolaus Hansen, Andreas Ostermeier, N. Hansen, 1996, Proceedings of IEEE International Conference on Evolutionary Computation.

Reducing the Time Complexity of the Derandomized Evolution Strategy with Covariance Matrix Adaptation (CMA-ES)

Petros Koumoutsakos, Nikolaus Hansen, Sibylle D. Müller, 2003, Evolutionary Computation.

Convergence Properties of Evolution Strategies with the Derandomized Covariance Matrix Adaptation: T

N. Hansen, A. Ostermeier, 1997 .

The CMA Evolution Strategy: A Comparing Review

Nikolaus Hansen, N. Hansen, 2006, Towards a New Evolutionary Computation.

Evaluating the CMA Evolution Strategy on Multimodal Test Functions

Nikolaus Hansen, Stefan Kern, N. Hansen, 2004, PPSN.

Invariance, Self-adaptation and Correlated Mutations in Evolution Strategies Invariance, Self-adaptation and Correlated Mutations in Evolution Strategies

N. Hansen, 2000 .

Completely Derandomized Self-Adaptation in Evolution Strategies

Nikolaus Hansen, Andreas Ostermeier, N. Hansen, 2001, Evolutionary Computation.

An Evolution Strategy with Coordinate System Invariant Adaptation of Arbitrary Normal Mutation Distr

N. Hansen, A. Ostermeier, 1999 .

A Derandomized Approach to Self-Adaptation of Evolution Strategies

Nikolaus Hansen, Andreas Ostermeier, Andreas Gawelczyk, 1994, Evolutionary Computation.

On the Adaptation of Arbitrary Normal Mutation Distributions in Evolution Strategies: The Generating Set Adaptation

Nikolaus Hansen, Andreas Ostermeier, Andreas Gawelczyk, 1995, ICGA.

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

Nikolaus Hansen, Andreas Ostermeier, Andreas Gawelczyk, 1994, PPSN.

Learning Probability Distributions in Continuous Evolutionary Algorithms - a Comparative Review

Petros Koumoutsakos, Nikolaus Hansen, Stefan Kern, 2004, Nat. Comput..

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

Petros Koumoutsakos, Nikolaus Hansen, Sibylle D. Müller, 2002, PPSN.

Covariance Matrix Adaptation for Multi-objective Optimization

Stefan Roth, Christian Igel, Nikolaus Hansen, 2007, Evolutionary Computation.

The CMA Evolution Strategy: A Tutorial pdf

Nikolaus Hansen, N. Hansen, 2016, ArXiv.

Step-Size Adaptation Based on Non-Local Use Selection Information

N. Hansen, A. Ostermeier, A. Gawelczyk, 1994 .

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

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

A CMA-ES for Mixed-Integer Nonlinear Optimization

N. Hansen, 2011 .

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

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

Learning probability distributions in continuous evolutionary algorithms – a comparative review

Petros Koumoutsakos, Nikolaus Hansen, Stefan Kern, 2004, Natural Computing.

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

Anne Auger, Raymond Ros, Nikolaus Hansen, 2009 .

FAST QUADRATIC LOCAL META-MODELS FOR EVOLUTIONARY OPTIMIZATION OF ANGUILLIFORM SWIMMERS

Petros Koumoutsakos, Nikolaus Hansen, Stefan Kern, 2004 .

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

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

Invariance, Self-Adaptation and Correlated Mutations and Evolution Strategies

Nikolaus Hansen, N. Hansen, 2000, PPSN.

Variable Metrics in Evolutionary Computation

Nikolaus Hansen, N. Hansen, 2009 .

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

Raymond Ros, Nikolaus Hansen, N. Hansen, 2010, GECCO '10.

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

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

Real-Parameter Black-Box Optimization Benchmarking: Experimental Setup

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

Evolution Strategies

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

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

N. Hansen, C. Igel, T. Voss, 2009, EMO.

Tutorial CMA-ES: evolution strategies and covariance matrix adaptation

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

On Proving Linear Convergence of Comparison-based Step-size Adaptive Randomized Search on Scaling-Invariant Functions via Stability of Markov Chains pdf

Anne Auger, Nikolaus Hansen, N. Hansen, 2013, ArXiv.

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

Youhei Akimoto, Nikolaus Hansen, Anne Auger, 2012 .

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

Christian Igel, Nikolaus Hansen, Thorsten Suttorp, 2007, EMO.

Compilation of Results on the 2005 CEC Benchmark Function Set

Nikolaus Hansen, N. Hansen, 2005 .

COCO - COmparing Continuous Optimizers : The Documentation

Raymond Ros, Nikolaus Hansen, Steffen Finck, 2011 .

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

Anne Auger, Youhei Akimoto, Nikolaus Hansen, 2012, PPSN.

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

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

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

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

Theory of Evolution Strategies: A New Perspective

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

Local Meta-models for Optimization Using Evolution Strategies

Petros Koumoutsakos, Nikolaus Hansen, Stefan Kern, 2006, PPSN.

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

Nikolaus Hansen, N. Hansen, 2006, Evolutionary Computation.

Mirrored Sampling and Sequential Selection for Evolution Strategies

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

A restart CMA evolution strategy with increasing population size

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

Experimental Comparisons of Derivative Free Optimization Algorithms

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

PSO Facing Non-Separable and Ill-Conditioned Problems

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

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

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

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

Dirk V. Arnold, Nikolaus Hansen, N. Hansen, 2012, GECCO '12.

When Do Heavy-Tail Distributions Help?

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

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

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

On the effect of mirroring in the IPOP active CMA-ES on the noiseless BBOB testbed

Anne Auger, Dimo Brockhoff, Nikolaus Hansen, 2012, GECCO '12.

USPEX - Evolutionary crystal structure prediction

Nikolaus Hansen, Colin W. Glass, Artem R. Oganov, 2006, Comput. Phys. Commun..

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

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

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

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

Improved step size adaptation for the MO-CMA-ES

Christian Igel, Thomas Voß, Nikolaus Hansen, 2010, GECCO '10.

Impacts of invariance in search: When CMA-ES and PSO face ill-conditioned and non-separable problems

Anne Auger, Raymond Ros, Marc Schoenauer, 2011, Appl. Soft Comput..

Experimental Comparisons of Derivative Free Optimization Algorithms 1

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

The Multi-objective Variable Metric Evolution Strategy Part I

N. Hansen, C. Igel, Stefan Roth, 2005 .

Empirical comparisons of several derivative free optimization algorithms

Anne Auger, Raymond Ros, Marc Schoenauer, 2009 .

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

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

A global surrogate assisted CMA-ES

Nikolaus Hansen, N. Hansen, 2019, GECCO.

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

N. Hansen, A. Auger, 2021 .

Chapter 10 Theory of Evolution Strategies : A New Perspective

N. Hansen, A. Auger, 2011 .

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

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

BIOINSPIRED FLOW OPTIMIZATION

N. Hansen, P. Koumoutsakos, Stefan Kern, 2007, Proceeding of Fifth International Symposium on Turbulence and Shear Flow Phenomena.

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

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

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

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

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

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

Evolution strategies and CMA-ES (covariance matrix adaptation)

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

Learning rate adaptation by line search in evolution strategies with recombination

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

Introduction to Randomized Continuous Optimization

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

CMA-ES and advanced adaptation mechanisms

Anne Auger, Youhei Akimoto, Nikolaus Hansen, 2017, GECCO.

Sparse Inverse Covariance Learning for CMA-ES with Graphical Lasso

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

New Results - Applications

Michèle Sebag, Anne Auger, Xiangliang Zhang, 2007 .

New Results - Continuous Optimization

Michèle Sebag, Olivier Teytaud, Anne Auger, 2013 .

Software - COmparing Continuous Optimizers

Anne Auger, Raymond Ros, Marc Schoenauer, 2011 .

A practical guide to experimentation

Nikolaus Hansen, N. Hansen, 2018, GECCO.

New Results - Machine Learning for Stochastic Optimisation

Michèle Sebag, Olivier Teytaud, Anne Auger, 2007 .

Continuous Optimization and CMA-ES

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

A practical guide to experimentation (and benchmarking)

Nikolaus Hansen, N. Hansen, 2019, Annual Conference on Genetic and Evolutionary Computation.

Session details: Evolution strategies and evolutionary programming track papers

Silja Meyer-Nieberg, Nikolaus Hansen, N. Hansen, 2011, GECCO '11.

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

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

Tutorial CMA-ES: evolution strategies and covariance matrix adaptation

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

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

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

CMA-ES and Advanced Adaptation Mechanisms

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

Genetic and Evolutionary Computation Conference 2008 : GECCO 2008

Julian F. Miller, Giuliano Antoniol, Maarten Keijzer, 2008, GECCO 2008.

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

Anne Auger, Nikolaus Hansen, N. Hansen, 2013, SIAM J. Optim..

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

Christian Igel, Nikolaus Hansen, Thorsten Suttorp, 2006, GECCO.

Comparison Tables: BBOB 2009 Noisy Testbed

Anne Auger, Raymond Ros, Nikolaus Hansen, 2010 .

A Method for Handling Uncertainty in Evolutionary Optimization With an Application to Feedback Control of Combustion

Petros Koumoutsakos, Nikolaus Hansen, Lino Guzzella, 2009, IEEE Transactions on Evolutionary Computation.

Efficient covariance matrix update for variable metric evolution strategies

Christian Igel, Nikolaus Hansen, Thorsten Suttorp, 2009, Machine Learning.

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

Dimo Brockhoff, Nikolaus Hansen, Tea Tusar, 2019, GECCO.

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

Raymond Ros, Nikolaus Hansen, Anne Auger, 2009 .

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

Raymond Ros, Nikolaus Hansen, N. Hansen, 2008, PPSN.

Scaling-invariant Functions versus Positively Homogeneous Functions

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

On invariance and linear convergence of evolution strategies with augmented Lagrangian constraint handling

Anne Auger, Asma Atamna, Nikolaus Hansen, 2020, Theor. Comput. Sci..

Linearly Convergent Evolution Strategies via Augmented Lagrangian Constraint Handling

Anne Auger, Asma Atamna, Nikolaus Hansen, 2017, FOGA '17.

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

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

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

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

Performance evaluation of an advanced local search evolutionary algorithm

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

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

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

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

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

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

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

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

Anne Auger, Nikolaus Hansen, Alexandre Adrien Chotard, 2014, 2014 IEEE Congress on Evolutionary Computation (CEC).

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

Oswin Krause, Christian Igel, Nikolaus Hansen, 2016, GECCO.

Benchmarking Numerical Multiobjective Optimizers Revisited

Dimo Brockhoff, Nikolaus Hansen, Thanh-Do Tran, 2015, GECCO.

Mirrored sampling in evolution strategies with weighted recombination

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

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

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

CMA-ES with Two-Point Step-Size Adaptation pdf

Nikolaus Hansen, N. Hansen, 2008, ArXiv.

Anytime Performance Assessment in Blackbox Optimization Benchmarking

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

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

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

Cumulative Step-Size Adaptation on Linear Functions pdf

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

Cumulative Step-size Adaptation on Linear Functions: Technical Report

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

Anytime Benchmarking of Budget-Dependent Algorithms with the COCO Platform

Dimo Brockhoff, Nikolaus Hansen, Tea Tušar, 2017 .

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

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

Biobjective Performance Assessment with the COCO Platform pdf

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

COCO: The Experimental Procedure pdf

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

COCO: Performance Assessment pdf

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

Diagonal Acceleration for Covariance Matrix Adaptation Evolution Strategies

Youhei Akimoto, Nikolaus Hansen, N. Hansen, 2019, Evolutionary Computation.

Benchmarking CMAES-APOP on the BBOB noiseless testbed

Nikolaus Hansen, Duc Manh Nguyen, N. Hansen, 2017, GECCO.

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

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

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

Michèle Sebag, Marc Schoenauer, Nikolaus Hansen, 2014, PPSN.

Principled Design of Continuous Stochastic Search: From Theory to Practice

Anne Auger, Nikolaus Hansen, N. Hansen, 2014, Theory and Principled Methods for the Design of Metaheuristics.

A global surrogate assisted CMA-ES

N. Hansen, 2019, GECCO.

Adaptive Encoding: How to Render Search Coordinate System Invariant

Nikolaus Hansen, N. Hansen, 2008, PPSN.

Evolutionary Optimization of Feedback Controllers for Thermoacoustic Instabilities

Petros Koumoutsakos, Nikolaus Hansen, Lino Guzzella, 2008 .

Multidisciplinary Optimization in the Design of Future Space Launchers

Marc Schoenauer, Nikolaus Hansen, Guillaume Collange, 2013 .

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

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

Projection-Based Restricted Covariance Matrix Adaptation for High Dimension

Youhei Akimoto, Nikolaus Hansen, N. Hansen, 2016, GECCO.

Comparison-based natural gradient optimization in high dimension

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

Linear Convergence on Positively Homogeneous Functions of a Comparison Based Step-Size Adaptive Randomized Search: the (1+1) ES with Generalized One-fifth Success Rule pdf

Anne Auger, Nikolaus Hansen, N. Hansen, 2013, ArXiv.

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

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

Reconsidering the progress rate theory for evolution strategies in finite dimensions

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

Benchmarking the (1,4)-CMA-ES with mirrored sampling and sequential selection on the noiseless BBOB-2010 testbed

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

Benchmarking the (1,4)-CMA-ES with mirrored sampling and sequential selection on the noisy BBOB-2010 testbed

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

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

Dirk V. Arnold, Nikolaus Hansen, N. Hansen, 2010, GECCO.

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

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

CMA-ES: evolution strategies and covariance matrix adaptation

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

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

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

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

Dimo Brockhoff, Nikolaus Hansen, N. Hansen, 2019, GECCO.

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

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

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

Anne Auger, Nikolaus Hansen, Ouassim Ait ElHara, 2016, GECCO.

On the impact of a small initial population size in the IPOP active CMA-ES with mirrored mutations on the noiseless BBOB testbed

Anne Auger, Dimo Brockhoff, Nikolaus Hansen, 2012, GECCO '12.

Comparing mirrored mutations and active covariance matrix adaptation in the IPOP-CMA-ES on the noiseless BBOB testbed

Anne Auger, Dimo Brockhoff, Nikolaus Hansen, 2012, GECCO '12.

On the impact of active covariance matrix adaptation in the CMA-ES with mirrored mutations and small initial population size on the noiseless BBOB testbed

Anne Auger, Dimo Brockhoff, Nikolaus Hansen, 2012, GECCO '12.

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

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

Investigating the impact of sequential selection in the (1,2)-CMA-ES on the noiseless BBOB-2010 testbed

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

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

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

Black-box optimization benchmarking of NEWUOA compared to BIPOP-CMA-ES: on the BBOB noiseless testbed

Raymond Ros, Nikolaus Hansen, N. Hansen, 2010, GECCO '10.

Comparing the (1+1)-CMA-ES with a mirrored (1+2)-CMA-ES with sequential selection on the noiseless BBOB-2010 testbed

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

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

Anne Auger, Raymond Ros, Nikolaus Hansen, 2010 .

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

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

Investigating the impact of sequential selection in the (1,2)-CMA-ES on the noisy BBOB-2010 testbed

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

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

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

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

N. Hansen, Raymond Ros, 2010, GECCO '10.

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

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

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

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

Benchmarking large-scale continuous optimizers: The bbob-largescale testbed, a COCO software guide and beyond

Anne Auger, Dimo Brockhoff, Nikolaus Hansen, 2020, Appl. Soft Comput..

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

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

Online Model Selection for Restricted Covariance Matrix Adaptation

Youhei Akimoto, Nikolaus Hansen, N. Hansen, 2016, PPSN.

Object‐Oriented Programming of Optimizers – Examples in Scilab

Nikolaus Hansen, Rodolphe Le Riche, Yann Collette, 2013 .

Injecting External Solutions Into CMA-ES pdf

Nikolaus Hansen, N. Hansen, 2011, ArXiv.

A Mixed Bayesian Optimization Algorithm with Variance Adaptation

Petros Koumoutsakos, Nikolaus Hansen, Stefan Kern, 2004, PPSN.

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

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

ARestart CMA Evolution Strategy WithIncreasing Population Size

Nikolaus Hansen, N. Hansen, 2005 .

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

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

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

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

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

N. Hansen, 2009, GECCO '09.

Experimental Comparisons of Derivative Free Optimization Algorithms (Invited Paper)

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

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

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

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

N. Hansen, 2009, GECCO '09.