| 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 | 2892 | 2005 |
| A restart CMA evolution strategy with increasing population size A Auger, N Hansen 2005 IEEE congress on evolutionary computation 2, 1769-1776, 2005 | 1246 | 2005 |
| Real-parameter black-box optimization benchmarking 2009: Noiseless functions definitions N Hansen, S Finck, R Ros, A Auger INRIA, 2009 | 673 | 2009 |
| Real-parameter black-box optimization benchmarking 2010: Experimental setup N Hansen, A Auger, S Finck, R Ros INRIA, 2010 | 562 | 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 | 547 | 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 | 529 | 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 | 472 | 2009 |
| Theory of randomized search heuristics: Foundations and recent developments A Auger, B Doerr World Scientific, 2011 | 429 | 2011 |
| Performance evaluation of an advanced local search evolutionary algorithm A Auger, N Hansen 2005 IEEE congress on evolutionary computation 2, 1777-1784, 2005 | 355 | 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 | 317 | 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 | 293 | 2010 |
| Evolution strategies N Hansen, DV Arnold, A Auger Springer handbook of computational intelligence, 871-898, 2015 | 266 | 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 | 240 | 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 | 179 | 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 | 168 | 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 | 164 | 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 | 157 | 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 | 146 | 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 | 144 | 2013 |
| Continuous lunches are free plus the design of optimal optimization algorithms A Auger, O Teytaud Algorithmica 57 (1), 121-146, 2010 | 114 | 2010 |
Nikolaus HansenInria & Ecole Polytechnique & Institut Polytechnique de Paris, FranceVerified email at Inria.fr
