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
2305 2005 A restart CMA evolution strategy with increasing population size A Auger, N Hansen
2005 IEEE congress on evolutionary computation 2, 1769-1776, 2005
986 2005 Real-parameter black-box optimization benchmarking 2009: Noiseless functions definitions N Hansen, S Finck, R Ros, A Auger
INRIA, 2009
464 2009 Real-parameter black-box optimization benchmarking 2010: Experimental setup N Hansen, A Auger, S Finck, R Ros
INRIA, 2010
439 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
353 2010 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
351 2009 Theory of randomized search heuristics: Foundations and recent developments A Auger, B Doerr
World Scientific, 2011
333 2011 Performance evaluation of an advanced local search evolutionary algorithm A Auger, N Hansen
2005 IEEE congress on evolutionary computation 2, 1777-1784, 2005
311 2005 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
230 2010 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
202 2017 Hypervolume-based multiobjective optimization: Theoretical foundations and practical implications A Auger, J Bader, D Brockhoff, E Zitzler
Theoretical Computer Science 425, 75-103, 2012
155 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
152 2005 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
147 2021 Evolution strategies N Hansen, DV Arnold, A Auger
Springer handbook of computational intelligence, 871-898, 2015
143 2015 -leaping: Accelerating the stochastic simulation algorithm by reaction leapsA Auger, P Chatelain, P Koumoutsakos
The Journal of chemical physics 125 (8), 084103, 2006
130 2006 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
115 2011 Well placement optimization with the covariance matrix adaptation evolution strategy and meta-models Z Bouzarkouna, DY Ding, A Auger
Computational Geosciences 16 (1), 75-92, 2012
107 2012 Experimental comparisons of derivative free optimization algorithms A Auger, N Hansen, JMP Zerpa, R Ros, M Schoenauer
International Symposium on Experimental Algorithms, 3-15, 2009
92 2009 Continuous lunches are free plus the design of optimal optimization algorithms A Auger, O Teytaud
Algorithmica 57 (1), 121-146, 2010
91 2010 Real-parameter black-box optimization benchmarking 2009: Noisy functions definitions N Hansen, S Finck, R Ros, A Auger
INRIA, 2009
77 2009