| Below you can find a manually updated list of my publications. See also:
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Pre-publications (submitted)
Dimo Brockhoff, Tea Tusar, Anne Auger, Nikolaus Hansen (2019),
Using Well-Understood Single-Objective Functions in Multiobjective Black-Box Optimization Test Suites,
ArXiv e-prints, arXiv:1604.00359. [PDF]
| Youhei Akimoto, Anne Auger, Nikolaus Hansen (2018),
An ODE Method to Prove the Geometric Convergence of Adaptive Stochastic Algorithms,
ArXiv e-prints, arXiv:1811.06703. [PDF]
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Journals
Alexandre Chotard, Anne Auger (2019),
Verifiable Conditions for the Irreducibility and Aperiodicity of Markov Chains by Analyzing Underlying Deterministic Models, Bernoulli, 2019, 25 (1), pp.112-147 [PDF] |
Asma Atamna, Anne Auger, Nikolaus Hansen (2018),
On Invariance and Linear Convergence of Evolution
Strategies with Augmented Lagrangian Constraint
Handling, Theoretical Computer Science (in press). [PDF]
| Y. Akimoto, A. Auger, and N. Hansen (2018), Quality gain analysis of the weighted recombination evolution strategy on general
convex quadratic functions, Theoretical Computer Science (in press). [PDF]
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Yann Ollivier, Ludovic Arnold, Anne Auger, Nikolaus Hansen (2017),
Information-Geometric Optimization Algorithms: A Unifying Picture via Invariance Principles, Journal of Machine Learning Research, 18(18), pp.1-65.
[PDF]
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Anne Auger, Nikolaus Hansen (2016),
Linear Convergence of Comparison-based Step-size Adaptive Randomized Search via Stability of
Markov Chains, SIAM J. Optim., 26(3) (2016), 1589-1624.
[PDF]
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Alexandre Chotard, Anne Auger, Nikolaus Hansen (2015),
Markov Chain Analysis of Cumulative Step-size Adaptation on a Linear Constraint Problem,
Evolutionary Computation Journal, Volume 23 Issue 4,
Pages 611-640, arXiv:1510.04409. [PDF] |
Zyed Bouzarkouna, Anne Auger, Didier Ding (2012), Well Placement
Optimization with the Covariance Matrix Adaptation Evolution Strategy
and Meta-Models, Computational Geosciences. Vol. 16(1), pp.
75-92.
[PDF]
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| Auger, A. and Bader, J. and
Brockhoff, D. and Zitzler, E. (2012), Hypervolume-based
Multiobjective Optimization: Theoretical Foundations and Practical
Implications, Theoretical Computer Science. Vol. 425, pp. 75-103.
[PDF]
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| Hansen, N. and Ros, R. and Mauny,
N. and Schoenauer, M. and Auger, A. (2011), Impacts of Invariance in
Search: When CMA-ES and PSO Face Ill-Conditioned and
Non-Separable Problems, Applied Soft Computing. Vol. 11, pp.
5755-5769. Elsevier. [DOI] [PDF]
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| Auger, A. and Teytaud, O.
(2010), Continuous Lunches are free plus the design of optimal
optimization algorithms, Algorithmica. Vol. 57(1), pp. 121-146.
[PDF]
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| Furtlehner, C. and Lasgouttes, J.-M. and Auger,
A. (2010), Learning Multiple Belief Propagation Fixed Points for
Real Time Inference, J. Phys. A. Vol. 389(1), pp. 149-163. [PDF]
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Jebalia, M. and Auger, A. and
Hansen, N. (2011), Log-linear convergence and divergence of the
scale-invariant (1+1)-ES in noisy environments,
Algorithmica, 59(3), pp. 425-460. [draft in PDF]
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Auger, A. and Chatelain, P.
and Koumoutsakos, P. (2006), R-leaping: Accelerating the
stochastic simulation algorithm by reaction leaps, J. Chem. Phys..
Vol. 125(8), pp. 84-103. [BibTeX]
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Auger, A. (2005), Convergence
results for the (1,λ)-SA-ES using the theory
of φ-irreducible Markov chains, Theoretical
Computer Science. Vol. 334(1-3), pp. 35-69. [PDF]
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| Auger, A. and Yedder, A.B.H.
and Cancès, E. and Bris, C.L. and Dion, C.M. and Keller, A. and
Atabek, O. (2002), Optimal Laser Control of Molecular Systems:
Methodology and Results, Mathematical Models and Methods in Applied
Sciences. Vol. 12(9), pp. 1281-1315. |
Ben Haj-Yedder, A. and Auger, A. and Dion, C.M.
and Cancès, E. and Keller, A. and Le Bris, C. and Atabek, O.
(2002), Numerical optimization of laser fields to control molecular
orientation, Physical Review A., Dec, 2002. Vol. 66(6), pp.
063401. American Physical Society. |
Book Chapters
Hansen, N., D.V. Arnold, and A. Auger (2015). Evolution Strategies.
In Janusz Kacprzyk and Witold Pedrycz (Eds.):
Handbook of Computational Intelligence, Springer [PDF].
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Hansen, N. and A. Auger (2014). Principled design of continuous stochastic search: From theory to practice.
In Y. Borenstein and A. Moraglio, eds.: Theory and Principled Methods for Designing Metaheustics. Springer, pp.145-180;
[PDF via HAL]
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Auger, A. & Hansen, N. (2011), Theory of
Evolution Strategies: a New Perspective, In A. Auger and B. Doerr, eds.:
Theory of Randomized Search Heuristics: Foundations and Recent Developments.
World Scientific Publishing, pp. 289-325
[PDF]
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Theory of Randomized Seach
Heuristics--Foundations and Recent Developments Edited by: Anne Auger, Benjamin Doerr, Vol. 1 World
Scientific.
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Auger, A., Hansen, N., Perez Zerpa, J., Ros, R.
& Schoenauer, M. (2009), Experimental Comparisons of Derivative
Free Optimization Algorithms, In 8th International Symposium on
Experimental Algorithms. Dortmund (5526), pp. 3-15. Springer Verlag.
[PDF]
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Reviewed Conference Articles
Cheikh Toure, Nikolaus Hansen, Anne Auger, Dimo Brockhoff (2019),
Uncrowded Hypervolume Improvement: COMO-CMA-ES and the Sofomore framework,
GECCO 2019 - Genetic and Evolutionary Computation Conference, Prague, Czech Republic.
[PDF]
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Cheikh Toure, Anne Auger, Dimo Brockhoff, Nikolaus Hansen (2019),
On Bi-Objective convex-quadratic problems,
10th International Conference on Evolutionary Multi-Criterion Optimization (EMO 2019), East Lansing, Michigan, United States.
[PDF]
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Konstantinos Varelas, Anne Auger, Dimo Brockhoff, Nikolaus Hansen, Ouassim Elhara, Yann Semet, Rami Kassab, Frederic Barbaresco (2018),
A Comparative Study of Large-scale Variants of CMA-ES,
PPSN XV 2018 - 15th International Conference on Parallel Problem Solving from Nature, Sep 2018, Coimbra, Portugal. 11101, pp.3-15, LNCS
[PDF via HAL]
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Youhei Akimoto, Anne Auger, Tobias Glasmachers (2018).
Drift Theory in Continuous Search Spaces: Expected Hitting Time of the (1+1)-ES with 1/5 Success Rule.
Proceedings of the GECCO 2018 Conference, 2018, Kyoto, Japan
[PDF via HAL]
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A. Atamna, A. Auger, N. Hansen (2017).
Linearly Convergent Evolution Strategies via Augmented Lagrangian Constraint Handling
Proceedings of the 14th ACM/SIGEVO Conference on Foundations of Genetic Algorithms
[PDF via HAL]
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A. Atamna, A. Auger, N. Hansen (2016).
Augmented Lagrangian Constraint Handling for CMA-ES--Case of a Single Linear Constraint
International Conference on Parallel Problem Solving from Nature, 181-191
[PDF via HAL]
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A. Atamna, A. Auger, N. Hansen (2016).
Analysis of Linear Convergence of a (1+1)-ES with Augmented Lagrangian Constraint Handling.
In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2016), pp. 213-220, ACM.
[PDF via HAL]
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Ait Elhara, O., A. Auger and N. Hansen (2016).
Permuted Orthogonal Block-Diagonal Transformation Matrices for Large Scale Optimization Benchmarking.
In Genetic and Evolutionary Computation Conference (GECCO 2016), Proceedings, ACM
[PDF via HAL]
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Hansen, N., A. Atamna, and A. Auger (2014).
How to Assess Step-Size Adaptation Mechanisms in Randomized Search.
To appear in T. Bartz-Beielstein et al (eds.), Parallel Problem Solving from Nature - PPSN XIII, pp. 60-69, Springer.
[PDF via HAL]
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Akimoto, Y., A. Auger, and N. Hansen (2014).
Comparison-Based Natural Gradient Optimization in High Dimension.
Proceedings of the 2014 conference on Genetic and evolutionary computation
(GECCO 2014), pp. 373-380, ACM. [PDF]
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Chotard, A., A. Auger, and N. Hansen (2014).
Markov Chain Analysis of Evolution Strategies on a Linear Constraint Optimization Problem.
Proceedings of the IEEE Congress on Evolutionary Computation (CEC 2014), pp. 159-166 [PDF]
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Ait ElHara, O. and Auger, A.
and Hansen, N. (2013), A Median Success Rule for Non-Elitist
Evolution
Strategies: Study of Feasibility, Genetic and
Evolutionary Computation Conference (GECCO). [PDF]
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Akimoto, Y. and Auger, A. and Hansen, N. (2012),
Convergence of the continuous time trajectories of isotropic
evolution strategies on monotonic C2-composite functions.,
Parallel Problem Solving from Nature - PPSN XII. , pp. 42-51. Springer.
[PDF]
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Chotard, A. and Auger, A. and
Hansen, N. (2012), Cumulative Step-Size Adaptation on Linear
Functions, Parallel Problem Solving from Nature - PPSN XII. , pp.
72-81. Springer. [PDF]
| Auger,
A. and Brockhoff, D. and Hansen, N. (2011), Mirrored Sampling in
Evolution Strategies With Weighted Recombination In N. Krasnogor et
al. editors , Genetic and Evolutionary Computation Conference (GECCO).,
July, 2011. , pp. 861-868. ACM. [DOI] [PDF]
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Bouzarkouna, Z. and Auger, A.
and Ding, D.-Y. (2011), "Local-Meta-Model CMA-ES for
Partially Separable Functions In N. Krasnogor et al. editors ,
Genetic and Evolutionary Computation Conference (GECCO)., July, 2011. ,
pp. 869-876. ACM Press.
[PDF]
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Bouzarkouna, Z. and Ding, D.-Y. and Auger, A. (2011), Partially
Separated Meta-models with Evolution Strategies for Well Placement
Optimization, SPE EUROPEC/EAGE Annual Conference and Exhibition.
SPE.
[PDF]
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Auger, A. and Brockhoff, D. and
Hansen, N. (2011), Analyzing the Impact of Mirrored Sampling and
Sequential Selection in Elitist Evolution Strategies, Foundations
of Genetic Algorithms (FOGA 2011). ACM. [PDF]
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Auger, A. and Bader, J. and
Brockhoff, D. (2010), Theoretically Investigating Optimal
μ-Distributions for the Hypervolume Indicator: First
Results For Three Objectives R. Schaefer et al. editors , Parallel
Problem Solving from Nature (PPSN XI). Vol. 6238, pp. 586-595.
Springer. > [PDF]
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Brockhoff, D.
and Auger, A. and Hansen, N. and Arnold, D.V. and Hohm, T. (2010),
Mirrored Sampling and Sequential Selection for Evolution
Strategies, R. Schaefer et al. editors , Parallel Problem Solving
from Nature (PPSN XI). Vol. 6238, pp. 11-20. Springer. [PDF]
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Bouzarkouna, Z. and Auger, A. and Ding, D.Y.
(2010), Investigating the Local-Meta-Model CMA-ES for
Large Population Sizes, 3rd European event on Bio-inspired
algorithms for continuous parameter optim isation (EvoNUM'10). Istanbul,
Turkey Springer-Verlag.
[PDF]
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Bouzarkouna, Z. and Ding,
D.Y. and Auger, A. (2010), Using Evolution Strategy with
Meta-models for Well Placement Optimization, 12th European
Conference on the Mathematics of Oil Recovery (ECMOR 2010). Oxford, UK
EAGE.
[PDF]
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| Mohamed, J. and Auger, A. (2010),
Log-linear Convergence of the Scale-invariant
(μ/μ_w,λ)-ES and Optimal μ
for Intermediate Recombination for Large Population Sizes R.
Schaefer et al. editors , Parallel Problem Solving from Nature (PPSN
XI). Vol. 6239, pp. 52-61. Springer. [PDF]
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Auger, A. and
Bader, J. and Brockhoff, D. and Zitzler, E. (2009), Theory of the
Hypervolume Indicator: Optimal μ-Distributions and the
Choice of the Reference Point, Foundations of Genetic Algorithms
(FOGA 2009). New York, NY, USA , pp. 87-102. ACM. [PDF]
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Auger, A. and Bader, J. and Brockhoff, D. and
Zitzler, E. (2009), Articulating User Preferences in
Many-Objective Problems by Sampling the Weighted Hypervolume G.
Raidl and others editors , Genetic and Evolutionary Computation
Conference (GECCO 2009). New York, NY, USA , pp. 555-562. ACM. [PDF]
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Auger, A. and Bader, J. and Brockhoff, D. and
Zitzler, E. (2009), Investigating and Exploiting the Bias of the
Weighted Hypervolume to Articulate User Preferences G. Raidl and
others editors , Genetic and Evolutionary Computation Conference (GECCO
2009). New York, NY, USA , pp. 563-570. ACM. [PDF]
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Auger, A. and Hansen, N. and Perez Zerpa, J.M.
and Ros, R. and Schoenauer, M. (2009), Empirical comparisons of
several derivative free optimization algorithms, Acte du 9ime
colloque national en calcul des structures., May, 2009. Vol. 1, pp.
481-486. [PDF] [Draft
version]
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Jebalia, M. and Auger, A. (2008),
On Multiplicative Noise Models for Stochastic Search G. Rudolph
et a.l. editors , Conference on Parallel Problem Solving from Nature
(PPSN~X). Berlin, Heidelberg Vol. 5199, pp. 52-61. Springer Verlag.
[PDF]
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Jebalia, M. and Auger, A. and Liardet, P. (2008),
Log-linear Convergence and Optimal Bounds for the
(1+1)-ES N. Monmarché and al. editors , Proceedings of
Evolution Artificielle (EA'07). Vol. 4926, pp. 207-218. Springer. [
PDF]
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Auger, A. and Teytaud, O. (2007), Continuous
lunches are free! D. Thierens et al. editors , Genetic and
Evolutionary Computation Conference (GECCO). London, UK , pp. 916-921.
ACM Press . [PDF]
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Jebalia, M. and Auger, A. and
Schoenauer, M. and James, F. and Postel, M. (2007), Identification
of the Isotherm function in Chromatography Using CMA-ES, IEEE
Congress on Evolutionary Computation, 2007 (CEC 2007)., September, 2007.
, pp. 4289-4296. IEEE. [PDF]
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Teytaud, O. and Auger, A. (2007), On the
adaptation of the noise level for stochastic optimization, IEEE
Congress on Evolutionary Computation (CEC 2007). Singapour , pp.
2030-2037. [PDF]
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Auger, A. and Hansen, N.
(2006), Reconsidering the Progress Rate Theory for Evolution
Strategies in Finite Dimensions ACM Press editors , Proceedings of
the Genetic and Evolutionary Computation Conference (GECCO 2006). , pp.
445-452. [PDF]
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Auger, A. and Hansen, N. (2005),
Performance evaluation of an advanced local search evolutionary
algorithm, Congress on Evolutionary Computation (CEC~2005).
Piscataway, NJ, USA Vol. 2, pp. 1777-1784. IEEE Press. [PDF]
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Auger, A. and
Schoenauer, M. and Teytaud, O. (2005), Local and global oder 3/2
convergence of a surrogate evolutionary algorithm H.-G. Beyer et
al editors , Genetic and Evolutionary Computation Conference (GECCO).
Washington , pp. 857-864. [PDF]
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Auger, A. and Hansen, N. (2005),
A Restart CMA Evolution Strategy With Increasing Population
Size, Proceedings of the IEEE Congress on Evolutionary
Computation. Piscataway, NJ, USA Vol. 2, pp. 1769-1776. IEEE Press.
[PDF]
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Auger, A. and Jebalia, M. and
Teytaud, O. (2005), Algorithms (X,sigma,eta) :
quasi-random mutations for evolution strategies, Proceedings
of the 7th International Conference Evolution Artificielle EA'05.
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Auger, A. and Schoenauer, M. and Vanhaecke, N.
(2004), LS-CMA-ES: A Second-Order Algorithm for
Covariance Matrix Adaptation X. Yao et al. editors , Parallel
Problem Solving from Nature (PPSN'04). , pp. 182-191. Springer.
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Nicolau, M. and Auger, A. and
Ryan, C. (2003), Functional dependency and degeneracy: detailed
analysis of the GAuGE system, Proceedings of the 6th International
Conference on Evolutionary Computation EA'03. In
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M.Schoenauer and Auger, A. and
Yedder, A.B.H. (2003), Overview and Software Guide of Evolutionary
Algorithms; Case Study in Quantum Control, CRM Proc. Lecture
Notes.
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Auger, A. and Bris, C.L. and Schoenauer, M.
(2003), Dimension-independent Convergence Rate for
Non-isotropic (1,λ)-ES Erick Cantu-Paz
et al. editors , Genetic and Evolutionary Computation Conference
(GECCO). , pp. 512-524.
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Workshop Articles & Reports
Anne Auger, Nikolaus Hansen (2013),
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, arXiv:1310.8397.
[PDF]
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Auger, A.,
Brockhoff, D. & Hansen, N. (2010), Comparing the (1+1)-CMA-ES
with a Mirrored (1+2)-CMA-ES with Sequential Selection on the Noiseless
BBOB-2010 Testbed, In Workshop Proceedings of the Genetic and
Evolutionary Computation Conference (GECCO). , pp. 1543-1550. [BibTeX] [PDF]
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Auger, A., Brockhoff, D. & Hansen, N. (2010),
Investigating the Impact of Sequential Selection in the (1,2)-CMA-ES
on the Noiseless BBOB-2010 Testbed, In Workshop Proceedings of the
Genetic and Evolutionary Computation Conference (GECCO). , pp.
1591-1596.
[PDF]
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Auger, A., Brockhoff, D. & Hansen, N. (2010),
Investigating the Impact of Sequential Selection in the (1,2)-CMA-ES
on the Noisy BBOB-2010 Testbed, In Workshop Proceedings of the
Genetic and Evolutionary Computation Conference (GECCO). , pp.
1605-1610.
[PDF]
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Auger, A., Brockhoff, D. & Hansen, N. (2010),
Investigating the Impact of Sequential Selection in the (1,4)-CMA-ES
on the Noiseless BBOB-2010 Testbed, In Workshop Proceedings of the
Genetic and Evolutionary Computation Conference (GECCO). , pp.
1597-1604.
[PDF]
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Auger, A., Brockhoff, D. & Hansen, N. (2010),
Investigating the Impact of Sequential Selection in the (1,4)-CMA-ES
on the Noisy BBOB-2010 Testbed, In Workshop Proceedings of the
Genetic and Evolutionary Computation Conference (GECCO). , pp.
1611-1616. [BibTeX] [PDF]
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Auger, A., Brockhoff, D. & Hansen, N. (2010),
Mirrored Variants of the (1,2)-CMA-ES Compared on the Noiseless
BBOB-2010 Testbed, In Workshop Proceedings of the Genetic and
Evolutionary Computation Conference (GECCO). , pp. 1551-1558. [BibTeX] [PDF]
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Auger, A., Brockhoff, D. & Hansen, N. (2010),
Mirrored Variants of the (1,2)-CMA-ES Compared on the Noisy
BBOB-2010 Testbed, In Workshop Proceedings of the Genetic and
Evolutionary Computation Conference (GECCO). , pp. 1575-1582. [PDF]
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Auger, A., Brockhoff, D. & Hansen, N. (2010),
Mirrored Variants of the (1,4)-CMA-ES Compared on the Noiseless
BBOB-2010 Testbed, In Workshop Proceedings of the Genetic and
Evolutionary Computation Conference (GECCO). , pp. 1559-1566. [PDF]
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Auger, A., Brockhoff, D. & Hansen, N. (2010),
Mirrored Variants of the (1,4)-CMA-ES Compared on the Noisy
BBOB-2010 Testbed, In Workshop Proceedings of the Genetic and
Evolutionary Computation Conference (GECCO). , pp. 1583-1590. [PDF]
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Auger, A., Brockhoff, D. & Hansen, N. (2010),
Benchmarking the (1,4)-CMA-ES With Mirrored Sampling and Sequential
Selection on the Noiseless BBOB-2010 Testbed, In Workshop
Proceedings of the Genetic and Evolutionary Computation Conference
(GECCO). , pp. 1617-1624. [PDF]
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Auger, A., Brockhoff, D. & Hansen, N. (2010),
Benchmarking the (1,4)-CMA-ES With Mirrored Sampling and Sequential
Selection on the Noisy BBOB-2010 Testbed, In Workshop Proceedings
of the Genetic and Evolutionary Computation Conference (GECCO). , pp.
1625-1632. [BibTeX] [PDF]
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Auger, A. & Hansen, N. (2009),
Benchmarking the (1+1)-CMA-ES on the BBOB-2009 Function
Testbed, In Workshop Proceedings of the GECCO Genetic and
Evolutionary Computation Conference., July, 2009. , pp. 2459-2466. ACM.
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Auger, A. & Hansen, N. (2009),
Benchmarking the (1+1)-CMA-ES on the BBOB-2009 Noisy Testbed,
In Workshop Proceedings of the GECCO Genetic and Evolutionary
Computation Conference., July, 2009. , pp. 2467-2472. ACM.
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Auger, A. & Ros, R. (2009),
Benchmarking the pure random search on the BBOB-2009 testbed,
In Workshop Proceedings of the GECCO Genetic and Evolutionary
Computation Conference., July, 2009. , pp. 2479-2484. ACM.
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Auger, A. & Ros, R. (2009),
Benchmarking the pure random search on the BBOB-2009 noisy
testbed, In Workshop Proceedings of the GECCO Genetic and
Evolutionary Computation Conference., July, 2009. , pp. 2485-2490. ACM.
|
Auger, A. (2009), Benchmarking
the (1+1)-ES with One-Fifth Success Rule on the BBOB-2009 noisy Function
Testbed, In Workshop Proceedings of the GECCO Genetic and
Evolutionary Computation Conference., July, 2009. , pp. 2453-2458. ACM.
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Auger, A. (2009), Benchmarking the
(1+1)-Evolution Strategy with One-Fifth Success Rule on the BBOB-2009
Function Testbed, In Workshop Proceedings of the GECCO Genetic and
Evolutionary Computation Conference., July, 2009. , pp. 2447-2452. ACM.
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Suganthan, P.N., Hansen, N., Liang, J.J., Deb,
K., Chen, Y.-P., Auger, A. & Tiwari, S. (2005), Problem
Definitions and Evaluation Criteria for the CEC 2005 Special Session on
Real-Parameter Optimization
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