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ORCIDNikolaus Hansen
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- affiliation: Inria, France
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2020 – today
- 2024
[j27]Armand Gissler
, Anne Auger, Nikolaus Hansen:
Asymptotic estimations of a perturbed symmetric eigenproblem. Appl. Math. Lett. 150: 108951 (2024)- [c109]Tristan Marty, Nikolaus Hansen, Anne Auger, Yann Semet, Sébastien Héron:
LB+IC-CMA-ES: Two Simple Modifications of CMA-ES to Handle Mixed-Integer Problems. PPSN (2) 2024: 284-299 - [i23]Armand Gissler, Anne Auger, Nikolaus Hansen:
Asymptotic estimations of a perturbed symmetric eigenproblem. CoRR abs/2403.06983 (2024) - 2023
- [j26]Cheikh Toure, Anne Auger, Nikolaus Hansen:
Global linear convergence of evolution strategies with recombination on scaling-invariant functions. J. Glob. Optim. 86(1): 163-203 (2023) - [c108]Mohamed Gharafi, Nikolaus Hansen, Dimo Brockhoff, Rodolphe Le Riche:
Multiobjective Optimization with a Quadratic Surrogate-assisted CMA-ES. GECCO 2023: 652-660 - [c107]Anne Auger, Nikolaus Hansen:
An Introduction to Scientific Experimentation and Benchmarking. GECCO Companion 2023: 854-877 - [c106]Youhei Akimoto, Nikolaus Hansen:
CMA-ES and Advanced Adaptation Mechanisms. GECCO Companion 2023: 1157-1182 - [c105]Tristan Marty, Yann Semet, Anne Auger, Sébastien Héron, Nikolaus Hansen:
Benchmarking CMA-ES with Basic Integer Handling on a Mixed-Integer Test Problem Suite. GECCO Companion 2023: 1628-1635 - [c104]Nikolaus Hansen:
Assessment and Evaluation of Empirical and Scientific Data. IJCCI 2023: 25 - 2022
- [j25]Dimo Brockhoff, Anne Auger, Nikolaus Hansen, Tea Tusar:
Using Well-Understood Single-Objective Functions in Multiobjective Black-Box Optimization Test Suites. Evol. Comput. 30(2): 165-193 (2022) - [j24]Nikolaus Hansen, Anne Auger, Dimo Brockhoff, Tea Tusar:
Anytime Performance Assessment in Blackbox Optimization Benchmarking. IEEE Trans. Evol. Comput. 26(6): 1293-1305 (2022) - [c103]Armand Gissler, Anne Auger, Nikolaus Hansen:
Learning rate adaptation by line search in evolution strategies with recombination. GECCO 2022: 630-638 - [c102]Anne Auger, Nikolaus Hansen:
A (biased) introduction to benchmarking. GECCO Companion 2022: 801-823 - [c101]Youhei Akimoto, Nikolaus Hansen:
CMA-ES and advanced adaptation mechanisms. GECCO Companion 2022: 1243-1268 - 2021
- [j23]Cheikh Toure, Armand Gissler, Anne Auger, Nikolaus Hansen:
Scaling-invariant Functions versus Positively Homogeneous Functions. J. Optim. Theory Appl. 191(1): 363-383 (2021) - [j22]Nikolaus Hansen, Anne Auger, Raymond Ros, Olaf Mersmann, Tea Tusar, Dimo Brockhoff:
COCO: a platform for comparing continuous optimizers in a black-box setting. Optim. Methods Softw. 36(1): 114-144 (2021) - [c100]Anne Auger, Nikolaus Hansen:
Benchmarking: state-of-the-art and beyond. GECCO Companion 2021: 339-340 - [c99]Eugénie Marescaux, Nikolaus Hansen:
Hypervolume in biobjective optimization cannot converge faster than Ω(1/p). GECCO 2021: 430-438 - [c98]Paul Dufossé, Nikolaus Hansen:
Augmented lagrangian, penalty techniques and surrogate modeling for constrained optimization with CMA-ES. GECCO 2021: 519-527 - [c97]Youhei Akimoto, Nikolaus Hansen:
CMA-ES and advanced adaptation mechanisms. GECCO Companion 2021: 636-663 - [c96]Dimo Brockhoff, Baptiste Plaquevent-Jourdain, Anne Auger, Nikolaus Hansen:
DMS and MultiGLODS: black-box optimization benchmarking of two direct search methods on the bbob-biobj test suite. GECCO Companion 2021: 1251-1258 - 2020
- [j21]Konstantinos Varelas, Ouassim Ait ElHara, Dimo Brockhoff, Nikolaus Hansen, Duc Manh Nguyen, Tea Tusar, Anne Auger:
Benchmarking large-scale continuous optimizers: The bbob-largescale testbed, a COCO software guide and beyond. Appl. Soft Comput. 97(Part): 106737 (2020) - [j20]Youhei Akimoto, Nikolaus Hansen:
Diagonal Acceleration for Covariance Matrix Adaptation Evolution Strategies. Evol. Comput. 28(3): 405-435 (2020) - [j19]Youhei Akimoto, Anne Auger, Nikolaus Hansen:
Quality gain analysis of the weighted recombination evolution strategy on general convex quadratic functions. Theor. Comput. Sci. 832: 42-67 (2020) - [j18]Asma Atamna, Anne Auger, Nikolaus Hansen:
On invariance and linear convergence of evolution strategies with augmented Lagrangian constraint handling. Theor. Comput. Sci. 832: 68-97 (2020) - [c95]Konstantinos Varelas, Anne Auger, Nikolaus Hansen:
Sparse Inverse Covariance Learning for CMA-ES with Graphical Lasso. PPSN (1) 2020: 707-718
2010 – 2019
- 2019
- [c94]Cheikh Toure, Anne Auger, Dimo Brockhoff, Nikolaus Hansen:
On Bi-objective Convex-Quadratic Problems. EMO 2019: 3-14 - [c93]Nikolaus Hansen:
A practical guide to experimentation (and benchmarking). GECCO (Companion) 2019: 594-613 - [c92]Cheikh Touré, Nikolaus Hansen, Anne Auger, Dimo Brockhoff:
Uncrowded hypervolume improvement: COMO-CMA-ES and the sofomore framework. GECCO 2019: 638-646 - [c91]Nikolaus Hansen:
A global surrogate assisted CMA-ES. GECCO 2019: 664-672 - [c90]Tea Tusar, Dimo Brockhoff, Nikolaus Hansen:
Mixed-integer benchmark problems for single- and bi-objective optimization. GECCO 2019: 718-726 - [c89]Youhei Akimoto, Nikolaus Hansen:
CMA-ES and advanced adaptation mechanisms. GECCO (Companion) 2019: 837-861 - [c88]Dimo Brockhoff, Nikolaus Hansen:
The impact of sample volume in random search on the bbob test suite. GECCO (Companion) 2019: 1912-1919 - [i22]Ouassim Ait ElHara, Konstantinos Varelas, Duc Manh Nguyen, Tea Tusar, Dimo Brockhoff, Nikolaus Hansen, Anne Auger:
COCO: The Large Scale Black-Box Optimization Benchmarking (bbob-largescale) Test Suite. CoRR abs/1903.06396 (2019) - [i21]Cheikh Touré, Nikolaus Hansen, Anne Auger, Dimo Brockhoff:
Uncrowded Hypervolume Improvement: COMO-CMA-ES and the Sofomore framework. CoRR abs/1904.08823 (2019) - [i20]Youhei Akimoto, Nikolaus Hansen:
Diagonal Acceleration for Covariance Matrix Adaptation Evolution Strategies. CoRR abs/1905.05885 (2019) - 2018
- [c87]Nikolaus Hansen:
A practical guide to experimentation. GECCO (Companion) 2018: 432-447 - [c86]Youhei Akimoto, Nikolaus Hansen:
CMA-ES and advanced adaptation mechanisms. GECCO (Companion) 2018: 720-744 - [c85]Konstantinos Varelas, Anne Auger, Dimo Brockhoff, Nikolaus Hansen, Ouassim Ait ElHara, Yann Semet, Rami Kassab, Frédéric Barbaresco:
A Comparative Study of Large-Scale Variants of CMA-ES. PPSN (1) 2018: 3-15 - [i19]Cheikh Toure, Anne Auger, Dimo Brockhoff, Nikolaus Hansen:
On Bi-Objective convex-quadratic problems. CoRR abs/1812.00289 (2018) - 2017
- [j17]Yann Ollivier, Ludovic Arnold, Anne Auger, Nikolaus Hansen:
Information-Geometric Optimization Algorithms: A Unifying Picture via Invariance Principles. J. Mach. Learn. Res. 18: 18:1-18:65 (2017) - [c84]Dimo Brockhoff, Anne Auger, Nikolaus Hansen, Tea Tusar:
Quantitative Performance Assessment of Multiobjective Optimizers: The Average Runtime Attainment Function. EMO 2017: 103-119 - [c83]Youhei Akimoto, Anne Auger, Nikolaus Hansen:
Quality Gain Analysis of the Weighted Recombination Evolution Strategy on General Convex Quadratic Functions. FOGA 2017: 111-126 - [c82]Asma Atamna, Anne Auger, Nikolaus Hansen:
Linearly Convergent Evolution Strategies via Augmented Lagrangian Constraint Handling. FOGA 2017: 149-161 - [c81]Anne Auger, Nikolaus Hansen:
Introduction to randomized continuous optimization. GECCO (Companion) 2017: 319-334 - [c80]Nikolaus Hansen:
A practical guide to benchmarking and experimentation. GECCO (Companion) 2017: 413 - [c79]Youhei Akimoto, Nikolaus Hansen:
CMA-ES and advanced adaptation mechanisms. GECCO (Companion) 2017: 641-674 - [c78]Duc Manh Nguyen, Nikolaus Hansen:
Benchmarking CMAES-APOP on the BBOB noiseless testbed. GECCO (Companion) 2017: 1756-1763 - 2016
- [j16]Anne Auger, Nikolaus Hansen:
Linear Convergence of Comparison-based Step-size Adaptive Randomized Search via Stability of Markov Chains. SIAM J. Optim. 26(3): 1589-1624 (2016) - [c77]Ouassim Ait ElHara, Anne Auger, Nikolaus Hansen:
Permuted Orthogonal Block-Diagonal Transformation Matrices for Large Scale Optimization Benchmarking. GECCO 2016: 189-196 - [c76]Youhei Akimoto, Nikolaus Hansen:
Projection-Based Restricted Covariance Matrix Adaptation for High Dimension. GECCO 2016: 197-204 - [c75]Asma Atamna, Anne Auger, Nikolaus Hansen:
Analysis of Linear Convergence of a (1 + 1)-ES with Augmented Lagrangian Constraint Handling. GECCO 2016: 213-220 - [c74]Youhei Akimoto, Anne Auger, Nikolaus Hansen:
Introduction to Randomized Continuous Optimization. GECCO (Companion) 2016: 333-355 - [c73]Youhei Akimoto, Anne Auger, Nikolaus Hansen:
CMA-ES and Advanced Adaptation Mechanisms. GECCO (Companion) 2016: 533-562 - [c72]Anne Auger, Dimo Brockhoff, Nikolaus Hansen, Dejan Tusar, Tea Tusar, Tobias Wagner:
GECCO'16 Black-Box Optimization Benchmarking Workshop (BBOB-2016): Workshop Chairs' Welcome Message. GECCO (Companion) 2016: 1167 - [c71]Oswin Krause, Tobias Glasmachers, Nikolaus Hansen, Christian Igel:
Unbounded Population MO-CMA-ES for the Bi-Objective BBOB Test Suite. GECCO (Companion) 2016: 1177-1184 - [c70]Anne Auger, Dimo Brockhoff, Nikolaus Hansen, Dejan Tusar, Tea Tusar, Tobias Wagner:
Benchmarking the Pure Random Search on the Bi-objective BBOB-2016 Testbed. GECCO (Companion) 2016: 1217-1223 - [c69]Anne Auger, Dimo Brockhoff, Nikolaus Hansen, Dejan Tusar, Tea Tusar, Tobias Wagner:
The Impact of Variation Operators on the Performance of SMS-EMOA on the Bi-objective BBOB-2016 Test Suite. GECCO (Companion) 2016: 1225-1232 - [c68]Anne Auger, Dimo Brockhoff, Nikolaus Hansen, Dejan Tusar, Tea Tusar, Tobias Wagner:
Benchmarking MATLAB's gamultiobj (NSGA-II) on the Bi-objective BBOB-2016 Test Suite. GECCO (Companion) 2016: 1233-1239 - [c67]Anne Auger, Dimo Brockhoff, Nikolaus Hansen, Dejan Tusar, Tea Tusar, Tobias Wagner:
Benchmarking RM-MEDA on the Bi-objective BBOB-2016 Test Suite. GECCO (Companion) 2016: 1241-1247 - [c66]Anne Auger, Dimo Brockhoff, Nikolaus Hansen, Dejan Tusar, Tea Tusar, Tobias Wagner:
The Impact of Search Volume on the Performance of RANDOMSEARCH on the Bi-objective BBOB-2016 Test Suite. GECCO (Companion) 2016: 1257-1264 - [c65]Youhei Akimoto, Nikolaus Hansen:
Online Model Selection for Restricted Covariance Matrix Adaptation. PPSN 2016: 3-13 - [c64]Asma Atamna, Anne Auger, Nikolaus Hansen:
Augmented Lagrangian Constraint Handling for CMA-ES - Case of a Single Linear Constraint. PPSN 2016: 181-191 - [i18]Nikolaus Hansen, Tea Tusar, Olaf Mersmann, Anne Auger, Dimo Brockhoff:
COCO: The Experimental Procedure. CoRR abs/1603.08776 (2016) - [i17]Nikolaus Hansen, Anne Auger, Olaf Mersmann, Tea Tusar, Dimo Brockhoff:
COCO: A Platform for Comparing Continuous Optimizers in a Black-Box Setting. CoRR abs/1603.08785 (2016) - [i16]Tea Tusar, Dimo Brockhoff, Nikolaus Hansen, Anne Auger:
COCO: The Bi-objective Black Box Optimization Benchmarking (bbob-biobj) Test Suite. CoRR abs/1604.00359 (2016) - [i15]Nikolaus Hansen:
The CMA Evolution Strategy: A Tutorial. CoRR abs/1604.00772 (2016) - [i14]Dimo Brockhoff, Tea Tusar, Dejan Tusar, Tobias Wagner, Nikolaus Hansen, Anne Auger:
Biobjective Performance Assessment with the COCO Platform. CoRR abs/1605.01746 (2016) - [i13]Nikolaus Hansen, Anne Auger, Dimo Brockhoff, Dejan Tusar, Tea Tusar:
COCO: Performance Assessment. CoRR abs/1605.03560 (2016) - 2015
- [j15]Alexandre Adrien Chotard, Anne Auger, Nikolaus Hansen:
Markov Chain Analysis of Cumulative Step-Size Adaptation on a Linear Constrained Problem. Evol. Comput. 23(4): 611-640 (2015) - [c63]Youhei Akimoto, Anne Auger, Nikolaus Hansen:
Continuous Optimization and CMA-ES. GECCO (Companion) 2015: 313-344 - [c62]Dimo Brockhoff, Thanh-Do Tran, Nikolaus Hansen:
Benchmarking Numerical Multiobjective Optimizers Revisited. GECCO 2015: 639-646 - [p4]Nikolaus Hansen, Dirk V. Arnold, Anne Auger:
Evolution Strategies. Handbook of Computational Intelligence 2015: 871-898 - [i12]Benjamin Doerr, Nikolaus Hansen, Christian Igel, Lothar Thiele:
Theory of Evolutionary Algorithms (Dagstuhl Seminar 15211). Dagstuhl Reports 5(5): 57-91 (2015) - 2014
- [c61]Alexandre Adrien Chotard, Anne Auger, Nikolaus Hansen:
Markov chain analysis of evolution strategies on a linear constraint optimization problem. IEEE Congress on Evolutionary Computation 2014: 159-166 - [c60]Youhei Akimoto, Anne Auger, Nikolaus Hansen:
Comparison-based natural gradient optimization in high dimension. GECCO 2014: 373-380 - [c59]Nikolaus Hansen, Anne Auger:
Evolution strategies and CMA-ES (covariance matrix adaptation). GECCO (Companion) 2014: 513-534 - [c58]Nikolaus Hansen, Asma Atamna, Anne Auger:
How to Assess Step-Size Adaptation Mechanisms in Randomised Search. PPSN 2014: 60-69 - [c57]Ilya Loshchilov, Marc Schoenauer, Michèle Sebag, Nikolaus Hansen:
Maximum Likelihood-Based Online Adaptation of Hyper-Parameters in CMA-ES. PPSN 2014: 70-79 - [p3]Nikolaus Hansen, Anne Auger:
Principled Design of Continuous Stochastic Search: From Theory to Practice. Theory and Principled Methods for the Design of Metaheuristics 2014: 145-180 - [i11]Alexandre Adrien Chotard, Anne Auger, Nikolaus Hansen:
Markov Chain Analysis of Evolution Strategies on a Linear Constraint Optimization Problem. CoRR abs/1404.3023 (2014) - [i10]Ilya Loshchilov, Marc Schoenauer, Michèle Sebag, Nikolaus Hansen:
Maximum Likelihood-based Online Adaptation of Hyper-parameters in CMA-ES. CoRR abs/1406.2623 (2014) - 2013
- [c56]Ouassim Ait ElHara, Anne Auger, Nikolaus Hansen:
A median success rule for non-elitist evolution strategies: study of feasibility. GECCO 2013: 415-422 - [c55]Anne Auger, Nikolaus Hansen:
Tutorial CMA-ES: evolution strategies and covariance matrix adaptation. GECCO (Companion) 2013: 499-520 - [c54]Anne Auger, Dimo Brockhoff, Nikolaus Hansen:
Benchmarking the local metamodel CMA-ES on the noiseless BBOB'2013 test bed. GECCO (Companion) 2013: 1225-1232 - [i9]Anne Auger, Nikolaus Hansen:
On Proving Linear Convergence of Comparison-based Step-size Adaptive Randomized Search on Scaling-Invariant Functions via Stability of Markov Chains. CoRR abs/1310.7697 (2013) - [i8]Anne Auger, Nikolaus Hansen:
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 abs/1310.8397 (2013) - [i7]Benjamin Doerr, Nikolaus Hansen, Jonathan L. Shapiro, L. Darrell Whitley:
Theory of Evolutionary Algorithms (Dagstuhl Seminar 13271). Dagstuhl Reports 3(7): 1-28 (2013) - 2012
- [j14]Tamás Éltetö, Nikolaus Hansen, Cécile Germain-Renaud, Pascal Bondon:
Scalable structural break detection. Appl. Soft Comput. 12(11): 3408-3420 (2012) - [j13]Anne Auger, Nikolaus Hansen, Marc Schoenauer:
Benchmarking of Continuous Black Box Optimization Algorithms. Evol. Comput. 20(4): 481 (2012) - [c53]Dimo Brockhoff, Anne Auger, Nikolaus Hansen:
On the effect of mirroring in the IPOP active CMA-ES on the noiseless BBOB testbed. GECCO (Companion) 2012: 277-284 - [c52]Dimo Brockhoff, Anne Auger, Nikolaus Hansen:
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) 2012: 285-290 - [c51]Dimo Brockhoff, Anne Auger, Nikolaus Hansen:
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) 2012: 291-296 - [c50]Dirk V. Arnold, Nikolaus Hansen:
A (1+1)-CMA-ES for constrained optimisation. GECCO 2012: 297-304 - [c49]Dimo Brockhoff, Anne Auger, Nikolaus Hansen:
Comparing mirrored mutations and active covariance matrix adaptation in the IPOP-CMA-ES on the noiseless BBOB testbed. GECCO (Companion) 2012: 297-304 - [c48]Anne Auger, Nikolaus Hansen:
Tutorial CMA-ES: evolution strategies and covariance matrix adaptation. GECCO (Companion) 2012: 827-848 - [c47]Youhei Akimoto, Anne Auger, Nikolaus Hansen:
Convergence of the Continuous Time Trajectories of Isotropic Evolution Strategies on Monotonic $\mathcal C^2$ -composite Functions. PPSN (1) 2012: 42-51 - [c46]Alexandre Adrien Chotard, Anne Auger, Nikolaus Hansen:
Cumulative Step-Size Adaptation on Linear Functions. PPSN (1) 2012: 72-81 - [i6]Alexandre Adrien Chotard, Anne Auger, Nikolaus Hansen:
Cumulative Step-size Adaptation on Linear Functions. CoRR abs/1206.1208 (2012) - [i5]Youhei Akimoto, Anne Auger, Nikolaus Hansen:
Convergence of the Continuous Time Trajectories of Isotropic Evolution Strategies on Monotonic C^2-composite Functions. CoRR abs/1206.4968 (2012) - [i4]Alexandre Adrien Chotard, Anne Auger, Nikolaus Hansen:
Cumulative Step-size Adaptation on Linear Functions. CoRR abs/1212.0139 (2012) - 2011
- [j12]Mohamed Jebalia, Anne Auger, Nikolaus Hansen:
Log-Linear Convergence and Divergence of the Scale-Invariant (1+1)-ES in Noisy Environments. Algorithmica 59(3): 425-460 (2011) - [j11]Nikolaus Hansen, Raymond Ros, Nikolas Mauny, Marc Schoenauer, Anne Auger:
Impacts of invariance in search: When CMA-ES and PSO face ill-conditioned and non-separable problems. Appl. Soft Comput. 11(8): 5755-5769 (2011) - [c45]Anne Auger, Dimo Brockhoff, Nikolaus Hansen:
Analyzing the impact of mirrored sampling and sequential selection in elitist evolution strategies. FOGA 2011: 127-138 - [c44]Anne Auger, Dimo Brockhoff, Nikolaus Hansen:
Mirrored sampling in evolution strategies with weighted recombination. GECCO 2011: 861-868 - [c43]Nikolaus Hansen, Anne Auger:
CMA-ES: evolution strategies and covariance matrix adaptation. GECCO (Companion) 2011: 991-1010 - [p2]Anne Auger, Nikolaus Hansen:
Theory of Evolution Strategies: A New Perspective. Theory of Randomized Search Heuristics 2011: 289-325 - [i3]Nikolaus Hansen:
Injecting External Solutions Into CMA-ES. CoRR abs/1110.4181 (2011) - 2010
- [c42]Dirk V. Arnold, Nikolaus Hansen:
Active covariance matrix adaptation for the (1+1)-CMA-ES. GECCO 2010: 385-392 - [c41]Thomas Voß, Nikolaus Hansen, Christian Igel:
Improved step size adaptation for the MO-CMA-ES. GECCO 2010: 487-494 - [c40]Nikolaus Hansen, Raymond Ros:
Black-box optimization benchmarking of NEWUOA compared to BIPOP-CMA-ES: on the BBOB noiseless testbed. GECCO (Companion) 2010: 1519-1526 - [c39]Anne Auger, Dimo Brockhoff, Nikolaus Hansen:
Comparing the (1+1)-CMA-ES with a mirrored (1+2)-CMA-ES with sequential selection on the noiseless BBOB-2010 testbed. GECCO (Companion) 2010: 1543-1550 - [c38]Anne Auger, Dimo Brockhoff, Nikolaus Hansen:
Mirrored variants of the (1, 2)-CMA-ES compared on the noiseless BBOB-2010 testbed. GECCO (Companion) 2010: 1551-1558 - [c37]Anne Auger, Dimo Brockhoff, Nikolaus Hansen:
Mirrored variants of the (1, 4)-CMA-ES compared on the noiseless BBOB-2010 testbed. GECCO (Companion) 2010: 1559-1566 - [c36]Anne Auger, Dimo Brockhoff, Nikolaus Hansen:
Mirrored variants of the (1, 2)-CMA-ES compared on the noisy BBOB-2010 testbed. GECCO (Companion) 2010: 1575-1582 - [c35]Anne Auger, Dimo Brockhoff, Nikolaus Hansen:
Mirrored variants of the (1, 4)-CMA-ES compared on the noisy BBOB-2010 testbed. GECCO (Companion) 2010: 1583-1590 - [c34]Anne Auger, Dimo Brockhoff, Nikolaus Hansen:
Investigating the impact of sequential selection in the (1, 2)-CMA-ES on the noiseless BBOB-2010 testbed. GECCO (Companion) 2010: 1591-1596 - [c33]