Nikolaus Hansen

发表

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.

Covariance Matrix Adaptation Evolution Strategy for Multidisciplinary Optimization of Expendable Launcher Family

Nikolaus Hansen, Guillaume Collange, Stéphane Reynaud, 2010 .

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

Petros Koumoutsakos, Nikolaus Hansen, Stefan Kern, 2004 .

Introduction to Randomized Continuous Optimization

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

Theory of Evolution Strategies: A New Perspective

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

Compilation of Results on the 2005 CEC Benchmark Function Set

Nikolaus Hansen, N. Hansen, 2005 .

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

Youhei Akimoto, Nikolaus Hansen, Anne Auger, 2012 .

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

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

Efficient covariance matrix update for variable metric evolution strategies

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

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

Anne Auger, Nikolaus Hansen, Ouassim Ait ElHara, 2013, GECCO '13.

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 .

Diagonal Acceleration for Covariance Matrix Adaptation Evolution Strategies

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

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

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

Cumulative Step-size Adaptation on Linear Functions: Technical Report

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

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.

How to Assess Step-Size Adaptation Mechanisms in Randomised Search

Anne Auger, Asma Atamna, Nikolaus Hansen, 2014, PPSN.

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

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

Introduction to randomized continuous optimization

Anne Auger, Nikolaus Hansen, 2017, GECCO '17.

Continuous Optimization and CMA-ES

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

Verallgemeinerte individuelle Schrittweitenregelung in der Evolutionsstrategie

Nikolaus Hansen, N. Hansen, 1998 .

Session details: BBOB'15 Workshop

Anne Auger, Youhei Akimoto, Dimo Brockhoff, 2015, GECCO 2015.

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.

Benchmarking MATLAB's gamultiobj (NSGA-II) on the Bi-objective BBOB-2016 Test Suite

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

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

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

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.

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.

Session details: Black box optimization benchmarking 2012 (BBOB 2012)

Mike Preuss, Nikolaus Hansen, Anne Auger, 2012, GECCO '12.

Benchmarking of Continuous Black Box Optimization Algorithms

Nikolaus Hansen, Anne Auger, Marc Schoenauer, 2012, Evolutionary Computation.

Experimental Comparisons of Derivative Free Optimization Algorithms

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

Multidisciplinary Optimization in the Design of Future Space Launchers

Marc Schoenauer, Nikolaus Hansen, Guillaume Collange, 2013 .

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

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

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

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

Mirrored Sampling and Sequential Selection for Evolution Strategies

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

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

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

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

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

A restart CMA evolution strategy with increasing population size

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

A practical guide to experimentation (and benchmarking)

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

Biobjective Performance Assessment with the COCO Platform pdf

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

Covariance Matrix Adaptation for Multi-objective Optimization

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

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

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

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

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

A practical guide to benchmarking and experimentation

Nikolaus Hansen, 2017, GECCO.

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

Anne Auger, Dimo Brockhoff, Nikolaus Hansen, 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.

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

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

COCO - COmparing Continuous Optimizers : The Documentation

Raymond Ros, Nikolaus Hansen, Steffen Finck, 2011 .

A Mixed Bayesian Optimization Algorithm with Variance Adaptation

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

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.

Software - COmparing Continuous Optimizers

Anne Auger, Raymond Ros, Marc Schoenauer, 2011 .

GECCO'16 Black-Box Optimization Benchmarking Workshop (BBOB-2016): Workshop Chairs' Welcome Message

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

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

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

Local Meta-models for Optimization Using Evolution Strategies

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

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.

New Results - Continuous Optimization

Michèle Sebag, Olivier Teytaud, Anne Auger, 2013 .

Evolution strategies and CMA-ES (covariance matrix adaptation)

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

The CMA Evolution Strategy: A Tutorial pdf

Nikolaus Hansen, N. Hansen, 2016, ArXiv.

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

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

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

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

Benchmarking the Pure Random Search on the Bi-objective BBOB-2016 Testbed

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

Comparison Tables: BBOB 2009 Noisy Testbed

Anne Auger, Raymond Ros, Nikolaus Hansen, 2010 .

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.

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

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

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.

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 .

Object‐Oriented Programming of Optimizers – Examples in Scilab

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

Variable Metrics in Evolutionary Computation

Nikolaus Hansen, N. Hansen, 2009 .

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

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

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

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

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

Raymond Ros, Nikolaus Hansen, Anne Auger, 2009 .

Tutorial CMA-ES: evolution strategies and covariance matrix adaptation

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

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

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

Scalable structural break detection

Pascal Bondon, Nikolaus Hansen, Cécile Germain, 2012, Appl. Soft Comput..

When Do Heavy-Tail Distributions Help?

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

Evaluating the CMA Evolution Strategy on Multimodal Test Functions

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

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

Anne Auger, Dimo Brockhoff, Nikolaus 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.

The Impact of Search Volume on the Performance of RANDOMSEARCH on the Bi-objective BBOB-2016 Test Suite

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

Evolution Strategies

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

Learning probability distributions in continuous evolutionary algorithms – a comparative review

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

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

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

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.

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.

Theory of Evolutionary Algorithms

L. Darrell Whitley, Benjamin Doerr, Nikolaus Hansen, 2013 .

Anytime Benchmarking of Budget-Dependent Algorithms with the COCO Platform

Dimo Brockhoff, Nikolaus Hansen, Tea Tušar, 2017 .

Injecting External Solutions Into CMA-ES pdf

Nikolaus Hansen, N. Hansen, 2011, ArXiv.

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.

Cumulative Step-Size Adaptation on Linear Functions pdf

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

New Results - Machine Learning for Stochastic Optimisation

Michèle Sebag, Olivier Teytaud, Anne Auger, 2007 .

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

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

USPEX - Evolutionary crystal structure prediction

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

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

Anne Auger, Raymond Ros, Nikolaus Hansen, 2009 .

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

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

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

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

Quality gain analysis of the weighted recombination evolution strategy on general convex quadratic functions

Anne Auger, Youhei Akimoto, Nikolaus Hansen, 2020, Theor. Comput. Sci..

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.

Session details: Evolution strategies and evolutionary programming track papers

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

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.

Performance evaluation of an advanced local search evolutionary algorithm

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

On Bi-Objective convex-quadratic problems pdf

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

Learning Probability Distributions in Continuous Evolutionary Algorithms - a Comparative Review

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

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

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

ARestart CMA Evolution Strategy WithIncreasing Population Size

Nikolaus Hansen, N. Hansen, 2005 .

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

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

Phased-Array Antenna Pattern Optimization with Evolution Strategies

Laurent Savy, Nikolaus Hansen, Cyrille Enderli, 2020, 2020 IEEE Radar Conference (RadarConf20).

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.

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

Nikolaus Hansen, N. Hansen, 1998 .

Genetic and Evolutionary Computation Conference 2008 : GECCO 2008

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

Improved step size adaptation for the MO-CMA-ES

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

Evolutionary Optimization of Feedback Controllers for Thermoacoustic Instabilities

Petros Koumoutsakos, Nikolaus Hansen, Lino Guzzella, 2008 .

Benchmarking Numerical Multiobjective Optimizers Revisited

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

Invariance, Self-Adaptation and Correlated Mutations and Evolution Strategies

Nikolaus Hansen, N. Hansen, 2000, PPSN.

CMA-ES and advanced adaptation mechanisms

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

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

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

A global surrogate assisted CMA-ES

Nikolaus Hansen, N. Hansen, 2019, GECCO.

Projection-Based Restricted Covariance Matrix Adaptation for High Dimension

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

Sparse Inverse Covariance Learning for CMA-ES with Graphical Lasso

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

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.

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).

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

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

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

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

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

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

Completely Derandomized Self-Adaptation in Evolution Strategies

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

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

Nikolaus Hansen, N. Hansen, 2008, ArXiv.

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..

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, 2016, 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.

Theory of Evolutionary Algorithms (Dagstuhl Seminar 15211)

Lothar Thiele, Christian Igel, Benjamin Doerr, 2015, Dagstuhl Reports.

Reconsidering the progress rate theory for evolution strategies in finite dimensions

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

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

Anne Auger, Raymond Ros, Nikolaus Hansen, 2010 .

Evolution strategies and related estimation of distribution algorithms

Anne Auger, Nikolaus Hansen, 2008, GECCO '08.

Online Model Selection for Restricted Covariance Matrix Adaptation

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

New Results - Applications

Michèle Sebag, Anne Auger, Xiangliang Zhang, 2007 .

COCO: Performance Assessment pdf

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

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

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

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

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

A practical guide to experimentation

Nikolaus Hansen, N. Hansen, 2018, GECCO.

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..

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

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

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

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

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

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

Adaptive Encoding: How to Render Search Coordinate System Invariant

Nikolaus Hansen, N. Hansen, 2008, PPSN.

Tutorial CMA-ES: evolution strategies and covariance matrix adaptation

Anne Auger, Nikolaus Hansen, 2013, GECCO.

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

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

Benchmarking CMAES-APOP on the BBOB noiseless testbed

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

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.

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

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

The CMA Evolution Strategy: A Comparing Review

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

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

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

COCO: The Experimental Procedure pdf

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

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..

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

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

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

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

CMA-ES: evolution strategies and covariance matrix adaptation

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

A Derandomized Approach to Self-Adaptation of Evolution Strategies

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

Comparison-based natural gradient optimization in high dimension

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

Benchmarking: state-of-the-art and beyond

Anne Auger, Nikolaus Hansen, 2021, GECCO Companion.

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

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

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

Anne Auger, Nikolaus Hansen, Cheikh Tour'e, 2021 .

DMS and MultiGLODS: black-box optimization benchmarking of two direct search methods on the bbob-biobj test suite

Anne Auger, Dimo Brockhoff, Nikolaus Hansen, 2021, GECCO Companion.

CMA-ES and advanced adaptation mechanisms

Youhei Akimoto, Nikolaus Hansen, 2021, GECCO Companion.

Scaling-invariant Functions versus Positively Homogeneous Functions

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

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

Nikolaus Hansen, Paul Dufossé, 2021, GECCO.

CMA-ES: A Function Value Free Second Order Optimization Method

Nikolaus Hansen, 2014 .

Empirical comparisons of several derivative free optimization algorithms

Anne Auger, Raymond Ros, Marc Schoenauer, 2009 .

Adaptive Encoding for Optimization

Nikolaus Hansen, 2008 .