Spremljaj
Nikolaus Hansen
Nikolaus Hansen
Inria & Ecole Polytechnique & Institut Polytechnique de Paris, France
Preverjeni e-poštni naslov na Inria.fr - Domača stran
Naslov
Navedeno
Navedeno
Leto
Completely derandomized self-adaptation in evolution strategies
N Hansen, A Ostermeier
Evolutionary computation 9 (2), 159-195, 2001
53212001
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
30462003
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
29562005
The CMA evolution strategy: a comparing review
N Hansen
Towards a new evolutionary computation: Advances in the estimation of …, 2006
27772006
The CMA evolution strategy: A tutorial
N Hansen
Inria, 2005
1988*2005
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
17511996
USPEX—Evolutionary crystal structure prediction
CW Glass, AR Oganov, N Hansen
Computer physics communications 175 (11-12), 713-720, 2006
13912006
A restart CMA evolution strategy with increasing population size
A Auger, N Hansen
2005 IEEE congress on evolutionary computation 2, 1769-1776, 2005
12762005
Evaluating the CMA evolution strategy on multimodal test functions
N Hansen, S Kern
International conference on parallel problem solving from nature, 282-291, 2004
10912004
Covariance matrix adaptation for multi-objective optimization
C Igel, N Hansen, S Roth
Evolutionary computation 15 (1), 1-28, 2007
9952007
Real-parameter black-box optimization benchmarking 2009: Noiseless functions definitions
N Hansen, S Finck, R Ros, A Auger
INRIA, 2009
6912009
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
5732021
Real-parameter black-box optimization benchmarking 2010: Experimental setup
N Hansen, A Auger, S Finck, R Ros
INRIA, 2010
5712010
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
5622010
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
3792009
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
3752008
Performance evaluation of an advanced local search evolutionary algorithm
A Auger, N Hansen
2005 IEEE congress on evolutionary computation 2, 1777-1784, 2005
3632005
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
3372004
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
3352008
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
3242017
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