Dirk V. Arnold

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Hans-Georg BeyerProfessor, Vorarlberg University of Applied SciencesVerified email at fhv.at
Nikolaus HansenInria & Ecole Polytechnique & Institut Polytechnique de Paris, FranceVerified email at Inria.fr
Anne AugerInria, CMAP Ecole Polytechnique, IP ParisVerified email at inria.fr
Xihe GaoDalhousie UniversityVerified email at dal.ca
Evangelos MiliosProfessor of Computer Science, Dalhousie UniversityVerified email at cs.dal.ca
Seyednaser Nourashrafeddin (Hamid)Dalhousie UniversityVerified email at cs.dal.ca
Tim HohmOptibrium LimitedVerified email at optibrium.com
Thomas Bartz-BeielsteinTH Koeln, Institute for Data Science, Engineering, and AnalyticsVerified email at th-koeln.de
Dimo BrockhoffInria, Ecole Polytechnique, Institut Polytechnique de ParisVerified email at inria.fr
Sandor MarkonProfessor of Information Technology, Kobe Institute of ComputingVerified email at kic.ac.jp
Thomas BäckProfessor of Computer Science, Leiden University; Chief Scientist, NORCE Research Centre, NorwayVerified email at liacs.leidenuniv.nl
Vlad CardeiGoogle, Inc.Verified email at google.com
Silja Meyer-NiebergUniversität der Bundeswehr MünchenVerified email at unibw.de
Dr. Michael HellwigVorarlberg University of Applied SciencesVerified email at fhv.at
Patrick SpettelR&D Software EngineerVerified email at aon.at
Kathleen C. FraserNational Research Council, Carleton UniversityVerified email at nrc-cnrc.gc.ca
Graham DellaireProfessor, Dept. of Pathology Dalhousie UniversityVerified email at dal.ca

Dirk V. Arnold

Professor, Faculty of Computer Science, Dalhousie University

Verified email at dal.ca - Homepage

evolutionary computation optimization


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Theory of evolution strategies—A tutorial HG Beyer, DV Arnold Theoretical Aspects of Evolutionary Computing, 109-133, 2001	1310	2001
Evolution strategies N Hansen, DV Arnold, A Auger Springer Handbook of Computational Intelligence, 871-898, 2015	255	2015
Noisy Optimization with Evolution Strategies DV Arnold Kluwer Academic Publishers, 2002	219*	2002
Improving evolution strategies through active covariance matrix adaptation GA Jastrebski, DV Arnold IEEE Congress on Evolutionary Computation, 2814-2821, 2006	197	2006
A (1+1)-CMA-ES for constrained optimisation DV Arnold, N Hansen Genetic and Evolutionary Computation Conference — GECCO 2012, 297-304, 2012	139	2012
A comparison of evolution strategies with other direct search methods in the presence of noise DV Arnold, HG Beyer Computational Optimization and Applications 24 (1), 135-159, 2003	131	2003
Mirrored sampling and sequential selection for evolution strategies D Brockhoff, A Auger, N Hansen, DV Arnold, T Hohm Parallel Problem Solving from Nature — PPSN XI, 11-21, 2011	110	2011
Thresholding - A selection operator for noisy ES S Markon, DV Arnold, T Back, T Beielstein, HG Beyer IEEE Congress on Evolutionary Computation, 465-472, 2001	110	2001
A general noise model and its effects on evolution strategy performance DV Arnold, HG Beyer IEEE Transactions on Evolutionary Computation 10 (4), 380-391, 2006	106	2006
Local performance of the (1+1)-ES in a noisy environment DV Arnold, HG Beyer IEEE Transactions on Evolutionary Computation 6 (1), 30-41, 2002	92	2002
Local performance of the (μ/μ,λ)-ES in a noisy environment DV Arnold, HG Beyer Foundations of Genetic Algorithms — FOGA 6, 127-141, 2001	82	2001
Weighted multirecombination evolution strategies DV Arnold Theoretical Computer Science 361 (1), 18-37, 2006	71	2006
Active covariance matrix adaptation for the (1+1)-CMA-ES DV Arnold, N Hansen Genetic and Evolutionary Computation Conference — GECCO 2010, 385-392, 2010	68	2010
Performance analysis of evolutionary optimization with cumulative step length adaptation DV Arnold, HG Beyer IEEE Transactions on Automatic Control 49 (4), 617-622, 2004	58	2004
Optimal weighted recombination DV Arnold Foundations of Genetic Algorithms — FOGA 8, 215-237, 2005	57	2005
Efficiency and mutation strength adaptation of the (μ/μ,λ)-ES in a noisy environment DV Arnold, HG Beyer Parallel Problem Solving from Nature — PPSN VI, 39-48, 2000	57	2000
Efficiency and mutation strength adaptation of the (μ/μ,λ)-ES in a noisy environment DV Arnold, HG Beyer Parallel Problem Solving from Nature — PPSN VI, 39-48, 2000	57	2000
Evolutionary gradient search revisited DV Arnold, R Salomon IEEE Transactions on Evolutionary Computation 11 (4), 480-495, 2007	56	2007
Random dynamics optimum tracking with evolution strategies DV Arnold, HG Beyer Parallel Problem Solving from Nature — PPSN VII, 3-12, 2002	55	2002
Performance analysis of evolution strategies with multi-recombination in high-dimensional search spaces disturbed by noise DV Arnold, HG Beyer Theoretical Computer Science 289 (1), 629-647, 2002	52	2002

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