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 University / ETHZVerified email at seas.harvard.edu
Christian IgelDepartment of Computer Science, University of CopenhagenVerified email at diku.dk
Tea TušarResearch fellow, Jožef Stefan InstituteVerified email at ijs.si
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
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
Dr. P. N. Suganthan (SCI Highly Cited...Some Codes available at GitHub, (Hon. Doctorate, U. of Maribor, 2020 ; BA & MA, U. of Cambridge, UK)Verified email at ntu.edu.sg
J. J. Liang (梁静)Zhengzhou UniversityVerified email at zzu.edu.cn
Ying-ping ChenNational Chiao Tung UniversityVerified email at cs.nctu.edu.tw
Santosh TiwariVehicle Optimization Engineer at General MotorsVerified email at gm.com
Olaf MersmannTH KölnVerified email at p-value.net
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 & Institut Polytechnique de Paris, France

Verified email at Inria.fr - Homepage

Computational Intelligence Evolutionary Algorithms Evolutionary Computation Machine Learning Numerical Optimization


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Completely derandomized self-adaptation in evolution strategies N Hansen, A Ostermeier Evolutionary computation 9 (2), 159-195, 2001	4144	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	2532	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	2171	2003
The CMA evolution strategy: a comparing review N Hansen Towards a new evolutionary computation, 75-102, 2006	2067	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	1354	1996
The CMA evolution strategy: A tutorial N Hansen Inria, 2005	1184*	2005
A restart CMA evolution strategy with increasing population size A Auger, N Hansen 2005 IEEE congress on evolutionary computation 2, 1769-1776, 2005	1086	2005
USPEX—Evolutionary crystal structure prediction CW Glass, AR Oganov, N Hansen Computer physics communications 175 (11-12), 713-720, 2006	1008	2006
Evaluating the CMA evolution strategy on multimodal test functions N Hansen, S Kern International conference on parallel problem solving from nature, 282-291, 2004	922	2004
Covariance matrix adaptation for multi-objective optimization C Igel, N Hansen, S Roth Evolutionary computation 15 (1), 1-28, 2007	834	2007
Real-parameter black-box optimization benchmarking 2009: Noiseless functions definitions N Hansen, S Finck, R Ros, A Auger INRIA, 2009	522	2009
Real-parameter black-box optimization benchmarking 2010: Experimental setup N Hansen, A Auger, S Finck, R Ros INRIA, 2010	490	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	405	2010
Performance evaluation of an advanced local search evolutionary algorithm A Auger, N Hansen 2005 IEEE congress on evolutionary computation 2, 1777-1784, 2005	323	2005
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	320	2008
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 (1), 77-112, 2004	304	2004
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	302	2009
A derandomized approach to self-adaptation of evolution strategies A Ostermeier, A Gawelczyk, N Hansen Evolutionary Computation 2 (4), 369-380, 1994	286	1994
A simple modification in CMA-ES achieving linear time and space complexity R Ros, N Hansen International conference on parallel problem solving from nature, 296-305, 2008	257	2008
Step-size adaptation based on non-local use of selection information A Ostermeier, A Gawelczyk, N Hansen International Conference on Parallel Problem Solving from Nature, 189-198, 1994	250	1994

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