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ORCIDAnne Auger
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- affiliation: INRIA, France
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2020 – today
- 2024
[j22]Armand Gissler
, Anne Auger, Nikolaus Hansen:
Asymptotic estimations of a perturbed symmetric eigenproblem. Appl. Math. Lett. 150: 108951 (2024)- [i28]Armand Gissler, Anne Auger, Nikolaus Hansen:
Asymptotic estimations of a perturbed symmetric eigenproblem. CoRR abs/2403.06983 (2024) - 2023
- [j21]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) - [c90]Anne Auger, Nikolaus Hansen:
An Introduction to Scientific Experimentation and Benchmarking. GECCO Companion 2023: 854-877 - [c89]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 - [i27]Anne Auger, Peter A. N. Bosman, Pascal Kerschke, Darrell Whitley, Lennart Schäpermeier:
Challenges in Benchmarking Optimization Heuristics (Dagstuhl Seminar 23251). Dagstuhl Reports 13(6): 55-80 (2023) - 2022
- [j20]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) - [j19]Youhei Akimoto, Anne Auger, Tobias Glasmachers, Daiki Morinaga:
Global Linear Convergence of Evolution Strategies on More than Smooth Strongly Convex Functions. SIAM J. Optim. 32(2): 1402-1429 (2022) - [j18]Nikolaus Hansen, Anne Auger, Dimo Brockhoff, Tea Tusar:
Anytime Performance Assessment in Blackbox Optimization Benchmarking. IEEE Trans. Evol. Comput. 26(6): 1293-1305 (2022) - [c88]Armand Gissler, Anne Auger, Nikolaus Hansen:
Learning rate adaptation by line search in evolution strategies with recombination. GECCO 2022: 630-638 - [c87]Anne Auger, Nikolaus Hansen:
A (biased) introduction to benchmarking. GECCO Companion 2022: 801-823 - [i26]Anne Auger, Carlos M. Fonseca, Tobias Friedrich, Johannes Lengler:
Theory of Randomized Optimization Heuristics (Dagstuhl Seminar 22081). Dagstuhl Reports 12(2): 87-102 (2022) - 2021
- [j17]Anne Auger, Per Kristian Lehre:
Preface to the Special Issue on Theory of Genetic and Evolutionary Computation. Algorithmica 83(4): 903-905 (2021) - [j16]Cheikh Toure, Armand Gissler, Anne Auger, Nikolaus Hansen:
Scaling-invariant Functions versus Positively Homogeneous Functions. J. Optim. Theory Appl. 191(1): 363-383 (2021) - [j15]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) - [c86]Anne Auger, Nikolaus Hansen:
Benchmarking: state-of-the-art and beyond. GECCO Companion 2021: 339-340 - [c85]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
- [j14]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) - [j13]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) - [j12]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) - [j11]Pietro S. Oliveto, Anne Auger, Francisco Chicano, Carlos M. Fonseca:
Guest Editorial Special Issue on Theoretical Foundations of Evolutionary Computation. IEEE Trans. Evol. Comput. 24(6): 993-994 (2020) - [c84]Konstantinos Varelas, Anne Auger, Nikolaus Hansen:
Sparse Inverse Covariance Learning for CMA-ES with Graphical Lasso. PPSN (1) 2020: 707-718 - [i25]Youhei Akimoto, Anne Auger, Tobias Glasmachers, Daiki Morinaga:
Global Linear Convergence of Evolution Strategies on More Than Smooth Strongly Convex Functions. CoRR abs/2009.08647 (2020)
2010 – 2019
- 2019
- [c83]Cheikh Toure, Anne Auger, Dimo Brockhoff, Nikolaus Hansen:
On Bi-objective Convex-Quadratic Problems. EMO 2019: 3-14 - [c82]Cheikh Touré, Nikolaus Hansen, Anne Auger, Dimo Brockhoff:
Uncrowded hypervolume improvement: COMO-CMA-ES and the sofomore framework. GECCO 2019: 638-646 - [e7]Anne Auger, Thomas Stützle:
Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2019, Prague, Czech Republic, July 13-17, 2019. ACM 2019, ISBN 978-1-4503-6111-8 [contents] - [e6]Manuel López-Ibáñez, Anne Auger, Thomas Stützle:
Proceedings of the Genetic and Evolutionary Computation Conference Companion, GECCO 2019, Prague, Czech Republic, July 13-17, 2019. ACM 2019, ISBN 978-1-4503-6748-6 [contents] - [i24]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) - [i23]Cheikh Touré, Nikolaus Hansen, Anne Auger, Dimo Brockhoff:
Uncrowded Hypervolume Improvement: COMO-CMA-ES and the Sofomore framework. CoRR abs/1904.08823 (2019) - 2018
- [c81]Youhei Akimoto, Anne Auger, Tobias Glasmachers:
Drift theory in continuous search spaces: expected hitting time of the (1 + 1)-ES with 1/5 success rule. GECCO 2018: 801-808 - [c80]Aurore Blelly, Matheus Felipe-Gomes, Anne Auger, Dimo Brockhoff:
Stopping criteria, initialization, and implementations of BFGS and their effect on the BBOB test suite. GECCO (Companion) 2018: 1513-1517 - [c79]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 - [e5]Anne Auger, Carlos M. Fonseca, Nuno Lourenço, Penousal Machado, Luís Paquete, L. Darrell Whitley:
Parallel Problem Solving from Nature - PPSN XV - 15th International Conference, Coimbra, Portugal, September 8-12, 2018, Proceedings, Part I. Lecture Notes in Computer Science 11101, Springer 2018, ISBN 978-3-319-99252-5 [contents] - [e4]Anne Auger, Carlos M. Fonseca, Nuno Lourenço, Penousal Machado, Luís Paquete, L. Darrell Whitley:
Parallel Problem Solving from Nature - PPSN XV - 15th International Conference, Coimbra, Portugal, September 8-12, 2018, Proceedings, Part II. Lecture Notes in Computer Science 11102, Springer 2018, ISBN 978-3-319-99258-7 [contents] - [i22]Youhei Akimoto, Anne Auger, Tobias Glasmachers:
Drift Theory in Continuous Search Spaces: Expected Hitting Time of the (1+1)-ES with 1/5 Success Rule. CoRR abs/1802.03209 (2018) - [i21]Cheikh Toure, Anne Auger, Dimo Brockhoff, Nikolaus Hansen:
On Bi-Objective convex-quadratic problems. CoRR abs/1812.00289 (2018) - [i20]Eric Benhamou, Jamal Atif, Rida Laraki, Anne Auger:
A new approach to learning in Dynamic Bayesian Networks (DBNs). CoRR abs/1812.09027 (2018) - [i19]Eric Benhamou, Jamal Atif, Rida Laraki, Anne Auger:
A discrete version of CMA-ES. CoRR abs/1812.11859 (2018) - 2017
- [j10]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) - [c78]Dimo Brockhoff, Anne Auger, Nikolaus Hansen, Tea Tusar:
Quantitative Performance Assessment of Multiobjective Optimizers: The Average Runtime Attainment Function. EMO 2017: 103-119 - [c77]Youhei Akimoto, Anne Auger, Nikolaus Hansen:
Quality Gain Analysis of the Weighted Recombination Evolution Strategy on General Convex Quadratic Functions. FOGA 2017: 111-126 - [c76]Asma Atamna, Anne Auger, Nikolaus Hansen:
Linearly Convergent Evolution Strategies via Augmented Lagrangian Constraint Handling. FOGA 2017: 149-161 - [c75]Anne Auger, Nikolaus Hansen:
Introduction to randomized continuous optimization. GECCO (Companion) 2017: 319-334 - 2016
- [b2]Anne Auger:
Thèse d'habilitation à diriger des recherches "Analysis of Comparison-based Stochastic Continuous Black-Box Optimization Algorithms". (Thèse d'habilitation à diriger des recherches "Analysis of Comparison-based Stochastic Continuous Black-Box Optimization Algorithms"). University of Paris-Sud, France, 2016 - [j9]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) - [c74]Ouassim Ait ElHara, Anne Auger, Nikolaus Hansen:
Permuted Orthogonal Block-Diagonal Transformation Matrices for Large Scale Optimization Benchmarking. GECCO 2016: 189-196 - [c73]Asma Atamna, Anne Auger, Nikolaus Hansen:
Analysis of Linear Convergence of a (1 + 1)-ES with Augmented Lagrangian Constraint Handling. GECCO 2016: 213-220 - [c72]Youhei Akimoto, Anne Auger, Nikolaus Hansen:
Introduction to Randomized Continuous Optimization. GECCO (Companion) 2016: 333-355 - [c71]Youhei Akimoto, Anne Auger, Nikolaus Hansen:
CMA-ES and Advanced Adaptation Mechanisms. GECCO (Companion) 2016: 533-562 - [c70]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 - [c69]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 - [c68]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 - [c67]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 - [c66]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 - [c65]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 - [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]Dimo Brockhoff, Tea Tusar, Dejan Tusar, Tobias Wagner, Nikolaus Hansen, Anne Auger:
Biobjective Performance Assessment with the COCO Platform. CoRR abs/1605.01746 (2016) - [i14]Nikolaus Hansen, Anne Auger, Dimo Brockhoff, Dejan Tusar, Tea Tusar:
COCO: Performance Assessment. CoRR abs/1605.03560 (2016) - 2015
- [j8]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]Youhei Akimoto, Anne Auger:
Theory of Evolution Strategies and Related Algorithms. GECCO (Companion) 2015: 575-588 - [p3]Nikolaus Hansen, Dirk V. Arnold, Anne Auger:
Evolution Strategies. Handbook of Computational Intelligence 2015: 871-898 - 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]Una-May O'Reilly, Anna Esparcia-Alcázar, Anne Auger, Carola Doerr, Anikó Ekárt, Gabriela Ochoa:
Women@GECCO 2014. GECCO (Companion) 2014: 1487-1488 - [c57]Nikolaus Hansen, Asma Atamna, Anne Auger:
How to Assess Step-Size Adaptation Mechanisms in Randomised Search. PPSN 2014: 60-69 - [p2]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 - [i13]Alexandre Adrien Chotard, Anne Auger, Nikolaus Hansen:
Markov Chain Analysis of Evolution Strategies on a Linear Constraint Optimization Problem. CoRR abs/1404.3023 (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 - [i12]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) - [i11]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) - 2012
- [j7]Anne Auger, Carsten Witt:
Theory of Randomized Search Heuristics. Algorithmica 64(4): 621-622 (2012) - [j6]Anne Auger, Nikolaus Hansen, Marc Schoenauer:
Benchmarking of Continuous Black Box Optimization Algorithms. Evol. Comput. 20(4): 481 (2012) - [j5]Anne Auger, Johannes Bader, Dimo Brockhoff, Eckart Zitzler:
Hypervolume-based multiobjective optimization: Theoretical foundations and practical implications. Theor. Comput. Sci. 425: 75-103 (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]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 - [c49]Anne Auger, Nikolaus Hansen:
Tutorial CMA-ES: evolution strategies and covariance matrix adaptation. GECCO (Companion) 2012: 827-848 - [c48]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 - [c47]Alexandre Adrien Chotard, Anne Auger, Nikolaus Hansen:
Cumulative Step-Size Adaptation on Linear Functions. PPSN (1) 2012: 72-81 - [i10]Alexandre Adrien Chotard, Anne Auger, Nikolaus Hansen:
Cumulative Step-size Adaptation on Linear Functions. CoRR abs/1206.1208 (2012) - [i9]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) - [i8]Zyed Bouzarkouna, Didier Yu Ding, Anne Auger:
Well Placement Optimization under Uncertainty with CMA-ES Using the Neighborhood. CoRR abs/1209.0616 (2012) - [i7]Alexandre Adrien Chotard, Anne Auger, Nikolaus Hansen:
Cumulative Step-size Adaptation on Linear Functions. CoRR abs/1212.0139 (2012) - 2011
- [j4]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) - [j3]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) - [c46]Anne Auger, Dimo Brockhoff, Nikolaus Hansen:
Analyzing the impact of mirrored sampling and sequential selection in elitist evolution strategies. FOGA 2011: 127-138 - [c45]Anne Auger, Dimo Brockhoff, Nikolaus Hansen:
Mirrored sampling in evolution strategies with weighted recombination. GECCO 2011: 861-868 - [c44]Zyed Bouzarkouna, Anne Auger, Didier Yu Ding:
Local-meta-model CMA-ES for partially separable functions. GECCO 2011: 869-876 - [c43]Nikolaus Hansen, Anne Auger:
CMA-ES: evolution strategies and covariance matrix adaptation. GECCO (Companion) 2011: 991-1010 - [p1]Anne Auger, Nikolaus Hansen:
Theory of Evolution Strategies: A New Perspective. Theory of Randomized Search Heuristics 2011: 289-325 - [e3]Anne Auger, Benjamin Doerr:
Theory of Randomized Search Heuristics: Foundations and Recent Developments. Series on Theoretical Computer Science 1, World Scientific 2011, ISBN 978-981-4282-66-6 [contents] - 2010
- [j2]Anne Auger, Olivier Teytaud:
Continuous Lunches Are Free Plus the Design of Optimal Optimization Algorithms. Algorithmica 57(1): 121-146 (2010) - [c42]Zyed Bouzarkouna, Anne Auger, Didier Yu Ding:
Investigating the Local-Meta-Model CMA-ES for Large Population Sizes. EvoApplications (1) 2010: 402-411 - [c41]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 - [c40]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 - [c39]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 - [c38]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 - [c37]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 - [c36]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 - [c35]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 - [c34]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 - [c33]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 - [c32]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 - [c31]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 - [c30]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 - [c29]Dimo Brockhoff, Anne Auger, Nikolaus Hansen, Dirk V. Arnold, Tim Hohm:
Mirrored Sampling and Sequential Selection for Evolution Strategies. PPSN (1) 2010: 11-21 - [c28]