Anne Auger
Anne Auger
Inria, CMAP Ecole Polytechnique, IP Paris
Geverifieerd e-mailadres voor inria.fr - Homepage
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Geciteerd door
Problem definitions and evaluation criteria for the CEC 2005 special session on real-parameter optimization
PN Suganthan, N Hansen, JJ Liang, K Deb, YP Chen, A Auger, S Tiwari
KanGAL report 2005005 (2005), 2005, 2005
A restart CMA evolution strategy with increasing population size
A Auger, N Hansen
2005 IEEE congress on evolutionary computation 2, 1769-1776, 2005
Real-parameter black-box optimization benchmarking 2009: Noiseless functions definitions
N Hansen, S Finck, R Ros, A Auger
INRIA, 2009
Real-parameter black-box optimization benchmarking 2010: Experimental setup
N Hansen, A Auger, S Finck, R Ros
INRIA, 2010
Comparing results of 31 algorithms from the black-box optimization benchmarking BBOB-2009
N Hansen, A Auger, R Ros, S Finck, P Pošík
Proceedings of the 12th annual conference companion on Genetic and …, 2010
COCO: A platform for comparing continuous optimizers in a black-box setting
N Hansen, A Auger, R Ros, O Mersmann, T Tušar, D Brockhoff
Optimization Methods and Software 36 (1), 114-144, 2021
Theory of the hypervolume indicator: optimal μ-distributions and the choice of the reference point
A Auger, J Bader, D Brockhoff, E Zitzler
Proceedings of the tenth ACM SIGEVO workshop on Foundations of genetic …, 2009
Theory of randomized search heuristics: Foundations and recent developments
A Auger, B Doerr
World Scientific, 2011
Performance evaluation of an advanced local search evolutionary algorithm
A Auger, N Hansen
2005 IEEE congress on evolutionary computation 2, 1777-1784, 2005
Information-geometric optimization algorithms: A unifying picture via invariance principles
Y Ollivier, L Arnold, A Auger, N Hansen
Journal of Machine Learning Research 18 (18), 1-65, 2017
Real-parameter black-box optimization benchmarking 2009: Presentation of the noiseless functions
S Finck, N Hansen, R Ros, A Auger
Technical Report 2009/20, Research Center PPE, 2009. Updated February, 2010
Evolution strategies
N Hansen, DV Arnold, A Auger
Springer handbook of computational intelligence, 871-898, 2015
Hypervolume-based multiobjective optimization: Theoretical foundations and practical implications
A Auger, J Bader, D Brockhoff, E Zitzler
Theoretical Computer Science 425, 75-103, 2012
Convergence results for the (1, λ)-SA-ES using the theory of ϕ-irreducible Markov chains
A Auger
Theoretical Computer Science 334 (1-3), 35-69, 2005
Tutorial CMA-ES: evolution strategies and covariance matrix adaptation
A Auger, N Hansen
Proceedings of the 14th annual conference companion on Genetic and …, 2012
Impacts of invariance in search: When CMA-ES and PSO face ill-conditioned and non-separable problems
N Hansen, R Ros, N Mauny, M Schoenauer, A Auger
Applied Soft Computing 11 (8), 5755-5769, 2011
Well placement optimization with the covariance matrix adaptation evolution strategy and meta-models
Z Bouzarkouna, DY Ding, A Auger
Computational Geosciences 16, 75-92, 2012
R-leaping: Accelerating the stochastic simulation algorithm by reaction leaps
A Auger, P Chatelain, P Koumoutsakos
The Journal of chemical physics 125 (8), 2006
Principled design of continuous stochastic search: From theory to practice
N Hansen, A Auger
Theory and principled methods for the design of metaheuristics, 145-180, 2013
Continuous lunches are free plus the design of optimal optimization algorithms
A Auger, O Teytaud
Algorithmica 57 (1), 121-146, 2010
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