Nikolaus Hansen

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Anne AugerInria, CMAP Ecole Polytechnique, IP ParisVerified email at inria.fr
Dimo BrockhoffInria, Ecole Polytechnique, Institut Polytechnique de ParisVerified email at inria.fr
Steffen FinckVorarlberg University of Applied Sciences, Research Center Business InformaticsVerified email at fhv.at
Petros KoumoutsakosHarvard UniversityVerified email at seas.harvard.edu
Tea TušarResearch fellow, Jožef Stefan InstituteVerified email at ijs.si
Christian IgelDepartment of Computer Science, University of CopenhagenVerified email at diku.dk
Stefan KernGE Renewable EnergyVerified email at ge.com
Youhei AkimotoUniversity of TsukubaVerified email at cs.tsukuba.ac.jp
Kalyanmoy DebKoenig Endowed Chair Professor, Electrical and Computer Engineering, Michigan State UniversityVerified email at egr.msu.edu
Marc SchoenauerSenior Researcher, INRIAVerified email at inria.fr
Olaf MersmannTH KölnVerified email at p-value.net
Dirk V. ArnoldProfessor, Faculty of Computer Science, Dalhousie UniversityVerified email at dal.ca
Petr PošíkResearcher, Czech Technical University in PragueVerified email at fel.cvut.cz
R. Prof. P. N. Suganthan, FIEEE'2015,...KINDI Center for Computing Research, Qatar University (Hon Doc: U of Maribor; BA/MA: Cambridge U, UKVerified email at qu.edu.qa
J. J. Liang (梁静)Zhengzhou UniversityVerified email at zzu.edu.cn
Ying-ping ChenNational Yang Ming Chiao Tung UniversityVerified email at cs.nycu.edu.tw
Santosh TiwariVehicle Optimization Engineer at General MotorsVerified email at gm.com
Artem R. OganovSkolkovo Institute of Science and Technology, RussiaVerified email at skoltech.ru
Asma AtamnaRuhr-Universität BochumVerified email at ini.rub.de
Lino GuzzellaETH ZurichVerified email at ethz.ch

Nikolaus Hansen

Inria & Ecole Polytechnique & Institut Polytechnique de Paris, France

Verified email at Inria.fr - Homepage

Computational Intelligence Evolutionary Algorithms Evolutionary Computation Numerical Optimization Optimization


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Completely derandomized self-adaptation in evolution strategies N Hansen, A Ostermeier Evolutionary computation 9 (2), 159-195, 2001	4559	2001
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	2668	2005
Reducing the time complexity of the derandomized evolution strategy with covariance matrix adaptation (CMA-ES) N Hansen, SD Müller, P Koumoutsakos Evolutionary computation 11 (1), 1-18, 2003	2447	2003
The CMA evolution strategy: a comparing review N Hansen Towards a new evolutionary computation: Advances in the estimation of …, 2006	2316	2006
Adapting arbitrary normal mutation distributions in evolution strategies: The covariance matrix adaptation N Hansen, A Ostermeier Proceedings of IEEE international conference on evolutionary computation …, 1996	1492	1996
The CMA evolution strategy: A tutorial N Hansen Inria, 2005	1442*	2005
A restart CMA evolution strategy with increasing population size A Auger, N Hansen 2005 IEEE congress on evolutionary computation 2, 1769-1776, 2005	1163	2005
USPEX—Evolutionary crystal structure prediction CW Glass, AR Oganov, N Hansen Computer physics communications 175 (11-12), 713-720, 2006	1119	2006
Evaluating the CMA evolution strategy on multimodal test functions N Hansen, S Kern PPSN 8 (3242), 282-291, 2004	1002	2004
Covariance matrix adaptation for multi-objective optimization C Igel, N Hansen, S Roth Evolutionary computation 15 (1), 1-28, 2007	898	2007
Real-parameter black-box optimization benchmarking 2009: Noiseless functions definitions N Hansen, S Finck, R Ros, A Auger INRIA, 2009	583	2009
Real-parameter black-box optimization benchmarking 2010: Experimental setup N Hansen, A Auger, S Finck, R Ros INRIA, 2010	529	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	470	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	356	2021
Benchmarking a BI-population CMA-ES on the BBOB-2009 function testbed N Hansen Proceedings of the 11th annual conference companion on genetic and …, 2009	340	2009
A method for handling uncertainty in evolutionary optimization with an application to feedback control of combustion N Hansen, ASP Niederberger, L Guzzella, P Koumoutsakos IEEE Transactions on Evolutionary Computation 13 (1), 180-197, 2008	339	2008
Performance evaluation of an advanced local search evolutionary algorithm A Auger, N Hansen 2005 IEEE congress on evolutionary computation 2, 1777-1784, 2005	338	2005
Learning probability distributions in continuous evolutionary algorithms–a comparative review S Kern, SD Müller, N Hansen, D Büche, J Ocenasek, P Koumoutsakos Natural Computing 3, 77-112, 2004	321	2004
A derandomized approach to self-adaptation of evolution strategies A Ostermeier, A Gawelczyk, N Hansen Evolutionary Computation 2 (4), 369-380, 1994	293	1994
A simple modification in CMA-ES achieving linear time and space complexity R Ros, N Hansen Parallel Problem Solving from Nature–PPSN X: 10th International Conference …, 2008	284	2008

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