Publications

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Pre-publications (submitted)

Alexandre Chotard, Anne Auger (2015), Verifiable Conditions for Irreducibility, Aperiodicity and T-chain Property of a General Markov Chain. arXiv:1508.01644 [PDF]

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]

Journals

Yann Ollivier, Ludovic Arnold, Anne Auger, Nikolaus Hansen (2017), Information-Geometric Optimization Algorithms: A Unifying Picture via Invariance Principles, Journal of Machine Learning research, accepted. [preprint PDF available on arxiv]

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. [preprint PDF on arxiv]

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]

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]

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]

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]

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]

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]

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]

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]

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].

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]

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]

Theory of Randomized Seach Heuristics--Foundations and Recent Developments Edited by: Anne Auger, Benjamin Doerr, Vol. 1 World Scientific.

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]

Reviewed Conference Articles

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]

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]

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]

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]

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]

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]

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]

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]

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]

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]

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]

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]

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]

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]

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]

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]

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]

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]

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]

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]

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]

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]

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]

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]

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]

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]

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]

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]

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]

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.

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.

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

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.

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.

Workshop Articles & Reports

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]

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]

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]

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]

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]

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]

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]

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]

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]

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]

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]

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.

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.

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.

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.

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.

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

Updated Feb 2017