default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDNikolaus Hansen
Person information
- affiliation: Inria, France
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
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]Anne Auger, Dimo Brockhoff, Nikolaus Hansen:
Investigating the impact of sequential selection in the (1, 4)-CMA-ES on the noiseless BBOB-2010 testbed. GECCO (Companion) 2010: 1597-1604 - [c32]Anne Auger, Dimo Brockhoff, Nikolaus Hansen:
Investigating the impact of sequential selection in the (1, 2)-CMA-ES on the noisy BBOB-2010 testbed. GECCO (Companion) 2010: 1605-1610 - [c31]Anne Auger, Dimo Brockhoff, Nikolaus Hansen:
Investigating the impact of sequential selection in the (1, 4)-CMA-ES on the noisy BBOB-2010 testbed. GECCO (Companion) 2010: 1611-1616 - [c30]Anne Auger, Dimo Brockhoff, Nikolaus Hansen:
Benchmarking the (1, 4)-CMA-ES with mirrored sampling and sequential selection on the noiseless BBOB-2010 testbed. GECCO (Companion) 2010: 1617-1624 - [c29]Anne Auger, Dimo Brockhoff, Nikolaus Hansen:
Benchmarking the (1, 4)-CMA-ES with mirrored sampling and sequential selection on the noisy BBOB-2010 testbed. GECCO (Companion) 2010: 1625-1632 - [c28]Nikolaus Hansen, Raymond Ros:
Benchmarking a weighted negative covariance matrix update on the BBOB-2010 noiseless testbed. GECCO (Companion) 2010: 1673-1680 - [c27]Nikolaus Hansen, Raymond Ros:
Benchmarking a weighted negative covariance matrix update on the BBOB-2010 noisy testbed. GECCO (Companion) 2010: 1681-1688 - [c26]Nikolaus Hansen, Anne Auger, Raymond Ros, Steffen Finck, Petr Posík:
Comparing results of 31 algorithms from the black-box optimization benchmarking BBOB-2009. GECCO (Companion) 2010: 1689-1696 - [c25]Dimo Brockhoff, Anne Auger, Nikolaus Hansen, Dirk V. Arnold, Tim Hohm:
Mirrored Sampling and Sequential Selection for Evolution Strategies. PPSN (1) 2010: 11-21 - [i2]Anne Auger, Nikolaus Hansen, Jorge M. Perez Zerpa, Raymond Ros, Marc Schoenauer:
Experimental Comparisons of Derivative Free Optimization Algorithms. CoRR abs/1005.5631 (2010)
2000 – 2009
- 2009
- [j10]Thorsten Suttorp, Nikolaus Hansen, Christian Igel:
Efficient covariance matrix update for variable metric evolution strategies. Mach. Learn. 75(2): 167-197 (2009) - [j9]Nikolaus Hansen, André S. P. Niederberger, Lino Guzzella, Petros Koumoutsakos:
A Method for Handling Uncertainty in Evolutionary Optimization With an Application to Feedback Control of Combustion. IEEE Trans. Evol. Comput. 13(1): 180-197 (2009) - [c24]Thomas Voß, Nikolaus Hansen, Christian Igel:
Recombination for Learning Strategy Parameters in the MO-CMA-ES. EMO 2009: 155-168 - [c23]Nikolaus Hansen:
Benchmarking a BI-population CMA-ES on the BBOB-2009 function testbed. GECCO (Companion) 2009: 2389-2396 - [c22]Nikolaus Hansen:
Benchmarking a BI-population CMA-ES on the BBOB-2009 noisy testbed. GECCO (Companion) 2009: 2397-2402 - [c21]Nikolaus Hansen:
Benchmarking the nelder-mead downhill simplex algorithm with many local restarts. GECCO (Companion) 2009: 2403-2408 - [c20]Anne Auger, Nikolaus Hansen:
Benchmarking the (1+1)-CMA-ES on the BBOB-2009 function testbed. GECCO (Companion) 2009: 2459-2466 - [c19]Anne Auger, Nikolaus Hansen:
Benchmarking the (1+1)-CMA-ES on the BBOB-2009 noisy testbed. GECCO (Companion) 2009: 2467-2472 - [c18]Anne Auger, Nikolaus Hansen, Jorge M. Perez Zerpa, Raymond Ros, Marc Schoenauer:
Experimental Comparisons of Derivative Free Optimization Algorithms. SEA 2009: 3-15 - 2008
- [c17]Anne Auger, Nikolaus Hansen:
Evolution strategies and related estimation of distribution algorithms. GECCO (Companion) 2008: 2727-2740 - [c16]Nikolaus Hansen:
Adaptive Encoding: How to Render Search Coordinate System Invariant. PPSN 2008: 205-214 - [c15]Raymond Ros, Nikolaus Hansen:
A Simple Modification in CMA-ES Achieving Linear Time and Space Complexity. PPSN 2008: 296-305 - [i1]Nikolaus Hansen:
CMA-ES with Two-Point Step-Size Adaptation. CoRR abs/0805.0231 (2008) - 2007
- [j8]Christian Igel, Nikolaus Hansen, Stefan Roth:
Covariance Matrix Adaptation for Multi-objective Optimization. Evol. Comput. 15(1): 1-28 (2007) - [c14]Christian Igel, Thorsten Suttorp, Nikolaus Hansen:
Steady-State Selection and Efficient Covariance Matrix Update in the Multi-objective CMA-ES. EMO 2007: 171-185 - 2006
- [j7]Colin W. Glass, Artem R. Oganov, Nikolaus Hansen:
USPEX - Evolutionary crystal structure prediction. Comput. Phys. Commun. 175(11-12): 713-720 (2006) - [j6]Nikolaus Hansen:
An Analysis of Mutative sigma-Self-Adaptation on Linear Fitness Functions. Evol. Comput. 14(3): 255-275 (2006) - [c13]Anne Auger, Nikolaus Hansen:
Reconsidering the progress rate theory for evolution strategies in finite dimensions. GECCO 2006: 445-452 - [c12]Christian Igel, Thorsten Suttorp, Nikolaus Hansen:
A computational efficient covariance matrix update and a (1+1)-CMA for evolution strategies. GECCO 2006: 453-460 - [c11]Nikolaus Hansen, Fabian Gemperle, Anne Auger, Petros Koumoutsakos:
When Do Heavy-Tail Distributions Help? PPSN 2006: 62-71 - [c10]Stefan Kern, Nikolaus Hansen, Petros Koumoutsakos:
Local Meta-models for Optimization Using Evolution Strategies. PPSN 2006: 939-948 - [p1]Nikolaus Hansen:
The CMA Evolution Strategy: A Comparing Review. Towards a New Evolutionary Computation 2006: 75-102 - 2005
- [c9]Anne Auger, Nikolaus Hansen:
A restart CMA evolution strategy with increasing population size. Congress on Evolutionary Computation 2005: 1769-1776 - [c8]Anne Auger, Nikolaus Hansen:
Performance evaluation of an advanced local search evolutionary algorithm. Congress on Evolutionary Computation 2005: 1777-1784 - 2004
- [j5]Stefan Kern, Sibylle D. Müller, Nikolaus Hansen, Dirk Büche, Jiri Ocenasek, Petros Koumoutsakos:
Learning probability distributions in continuous evolutionary algorithms - a comparative review. Nat. Comput. 3(1): 77-112 (2004) - [j4]Stefan Kern, Sibylle D. Müller, Nikolaus Hansen, Dirk Büche, Jiri Ocenasek, Petros Koumoutsakos:
Learning Probability Distributions in Continuous Evolutionary Algorithms - a Comparative Review. Nat. Comput. 3(3): 355-356 (2004) - [c7]Nikolaus Hansen, Stefan Kern:
Evaluating the CMA Evolution Strategy on Multimodal Test Functions. PPSN 2004: 282-291 - [c6]Jiri Ocenasek, Stefan Kern, Nikolaus Hansen, Petros Koumoutsakos:
A Mixed Bayesian Optimization Algorithm with Variance Adaptation. PPSN 2004: 352-361 - 2003
- [j3]Nikolaus Hansen, Sibylle D. Müller, Petros Koumoutsakos:
Reducing the Time Complexity of the Derandomized Evolution Strategy with Covariance Matrix Adaptation (CMA-ES). Evol. Comput. 11(1): 1-18 (2003) - 2002
- [c5]Sibylle D. Müller, Nikolaus Hansen, Petros Koumoutsakos:
Increasing the Serial and the Parallel Performance of the CMA-Evolution Strategy with Large Populations. PPSN 2002: 422-431 - 2001
- [j2]Nikolaus Hansen, Andreas Ostermeier:
Completely Derandomized Self-Adaptation in Evolution Strategies. Evol. Comput. 9(2): 159-195 (2001) - 2000
- [c4]Nikolaus Hansen:
Invariance, Self-Adaptation and Correlated Mutations and Evolution Strategies. PPSN 2000: 355-364
1990 – 1999
- 1998
- [b1]Nikolaus Hansen:
Verallgemeinerte individuelle Schrittweitenregelung in der Evolutionsstrategie - eine Untersuchung zur entstochastisierten, koordinatensystemunabhängigen Adaptation der Mutationsverteilung. Mensch und Buch 1998, ISBN 978-3-933346-29-2, pp. I-XIV, 1-107 - 1996
- [c3]Nikolaus Hansen, Andreas Ostermeier:
Adapting Arbitrary Normal Mutation Distributions in Evolution Strategies: The Covariance Matrix Adaptation. International Conference on Evolutionary Computation 1996: 312-317 - 1995
- [c2]Nikolaus Hansen, Andreas Ostermeier, Andreas Gawelczyk:
On the Adaptation of Arbitrary Normal Mutation Distributions in Evolution Strategies: The Generating Set Adaptation. ICGA 1995: 57-64 - 1994
- [j1]Andreas Ostermeier, Andreas Gawelczyk, Nikolaus Hansen:
A Derandomized Approach to Self Adaptation of Evolution Strategies. Evol. Comput. 2(4): 369-380 (1994) - [c1]Andreas Ostermeier, Andreas Gawelczyk, Nikolaus Hansen:
Step-Size Adaption Based on Non-Local Use of Selection Information. PPSN 1994: 189-198
Coauthor Index
[j27] [c109] [i23] [j26] [c107] [c105] [j25] [j24] [c103] [c102] [j23] [j22] [c100] [c96] [j21] [j19] [j18] [c95] [c94] [c92] [i22] [i21] [c85] [i19] [j17] [c84] [c83] [c82] [c81] [j16] [c77] [c75] [c74] [c73] [c72] [c70] [c69] [c68] [c67] [c66] [c64] [i18] [i17] [i16] [i14] [i13] [j15] [c63] [p4] [c61] [c60] [c59] [c58] [p3] [i11] [c56] [c55] [c54] [i9] [i8] [j13] [c53] [c52] [c51] [c49] [c48] [c47] [c46] [i6] [i5] [i4] [j12] [j11] [c45] [c44] [c43] [p2] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c26] [c25] [i2] [c20] [c19] [c18] [c17] [c13] [c11] [c9] [c8]
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-01-20 22:50 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
