Andrew M. Sutton

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L. Darrell WhitleyProfessor of Computer Science, Colorado State UniversityVerified email at cs.colostate.edu
Tobias FriedrichChair for Algorithm Engineering, Hasso Plattner Institute, Potsdam, GermanyVerified email at hpi.de
Frank NeumannOptimisation and Logistics, School of ComputerVerified email at adelaide.edu.au
Adele HoweProfessor of Computer Science, Colorado State University Verified email at cs.colostate.edu
Martin S. KrejcaLIP6, CNRS, Sorbonne UniversityVerified email at lip6.fr
Dirk SudholtUniversity of Passau, GermanyVerified email at uni-passau.de
Per Kristian LehreUniversity of Birmingham and UKRI Turing AI Acceleration FellowVerified email at cs.bham.ac.uk
Duc-Cuong DangUniversity of Southampton, UKVerified email at soton.ac.uk
Pietro S. OlivetoProfessor of Computer Science, Chair in Algorithms, The University of SheffieldVerified email at sheffield.ac.uk
Francisco ChicanoAssociate, University of MálagaVerified email at lcc.uma.es
Benjamin DoerrProfessor at Ecole Polytechnique, FranceVerified email at lix.polytechnique.fr
Ralf RothenbergerHasso Plattner Institute PotsdamVerified email at hpi.de
Dogan CorusKadir Has UniversityVerified email at khas.edu.tr
Tiago PaixaoInstituto Gulbenkian de CiênciaVerified email at igc.gulbenkian.pt
Anton KrohmerGoogle Germany GmbH, Munich, GermanyVerified email at google.com
Barbora TrubenováETH ZurichVerified email at env.ethz.ch
Aneta NeumannResearcher, The University of Adelaide, AustraliaVerified email at adelaide.edu.au
Enrique AlbaProfessor of Computer Science, University of MálagaVerified email at lcc.uma.es
Golnaz BadkobehGoldsmiths, University of LondonVerified email at gold.ac.uk
Una-May O'ReillyMIT, CSAIL, Any Scale Learning for All (ALFA) GroupVerified email at csail.mit.edu

Andrew M. Sutton

University of Minnesota Duluth

Verified email at umn.edu - Homepage

Randomized Algorithms Theory of Randomized Search Heuristics Theory of Evolutionary Computation Runtime Analysis FPT


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Escaping local optima using crossover with emergent diversity DC Dang, T Friedrich, T Kötzing, MS Krejca, PK Lehre, PS Oliveto, ... IEEE Transactions on Evolutionary Computation 22 (3), 484-497, 2017	85	2017
Differential Evolution and Non-separability: Using selective pressure to focus search AM Sutton, M Lunacek, LD Whitley Proceedings of the 9th annual conference on Genetic and evolutionary …, 2007	78	2007
Genetic Algorithms—A Survey of Models and Methods D Whitley, AM Sutton Handbook of Natural Computing, 637-671, 2012	76	2012
The Compact Genetic Algorithm is Efficient Under Extreme Gaussian Noise T Friedrich, T Kötzing, MS Krejca, AM Sutton IEEE Transactions on Evolutionary Computation 21 (3), 477-490, 2017	66	2017
Parameterized runtime analyses of evolutionary algorithms for the planar Euclidean traveling salesperson problem A Sutton, F Neumann, S Nallaperuma Evolutionary computation 22 (4), 595-628, 2014	59	2014
Escaping local optima with diversity mechanisms and crossover DC Dang, T Friedrich, T Kötzing, MS Krejca, PK Lehre, PS Oliveto, ... Proceedings of the Genetic and Evolutionary Computation Conference 2016, 645-652, 2016	52	2016
PSO and multi-funnel landscapes: how cooperation might limit exploration AM Sutton, D Whitley, M Lunacek, A Howe Proceedings of the 8th annual conference on Genetic and evolutionary …, 2006	50	2006
Understanding elementary landscapes D Whitley, AM Sutton, AE Howe Proceedings of the 10th annual conference on Genetic and evolutionary …, 2008	48	2008
The impact of global structure on search M Lunacek, D Whitley, A Sutton Parallel Problem Solving from Nature–PPSN X, 498-507, 2008	47	2008
Stochastic-based robust dynamic resource allocation for independent tasks in a heterogeneous computing system MA Salehi, J Smith, AA Maciejewski, HJ Siegel, EKP Chong, J Apodaca, ... Journal of Parallel and Distributed Computing 97, 96-111, 2016	43	2016
A polynomial time computation of the exact correlation structure of k-satisfiability landscapes AM Sutton, LD Whitley, AE Howe Proceedings of the 11th Annual conference on Genetic and evolutionary …, 2009	41	2009
Efficient identification of improving moves in a ball for pseudo-boolean problems F Chicano, D Whitley, AM Sutton Proceedings of the 2014 Annual Conference on Genetic and Evolutionary …, 2014	34	2014
On the runtime dynamics of the compact genetic algorithm on jump functions V Hasenöhrl, AM Sutton Proceedings of the Genetic and Evolutionary Computation Conference, 967-974, 2018	32	2018
Fitness probability distribution of bit-flip mutation F Chicano, AM Sutton, LD Whitley, E Alba Evolutionary computation 23 (2), 217-248, 2015	32	2015
Robustness of ant colony optimization to noise T Friedrich, T Kötzing, MS Krejca, AM Sutton Evolutionary computation 24 (2), 237-254, 2016	31	2016
Toward a unifying framework for evolutionary processes T Paixão, G Badkobeh, N Barton, D Çörüş, DC Dang, T Friedrich, ... Journal of theoretical biology 383, 28-43, 2015	26	2015
The max problem revisited: the importance of mutation in genetic programming T Kötzing, AM Sutton, F Neumann, UM O'reilly Theoretical computer science 545, 94-107, 2014	25	2014
The max problem revisited: the importance of mutation in genetic programming T Kötzing, AM Sutton, F Neumann, UM O'reilly Theoretical computer science 545, 94-107, 2014	25	2014
Computing the moments of k-bounded pseudo-Boolean functions over Hamming spheres of arbitrary radius in polynomial time AM Sutton, LD Whitley, AE Howe Theoretical Computer Science 425, 58-74, 2012	25	2012
Partial neighborhoods of elementary landscapes LD Whitley, AM Sutton Proceedings of the 11th Annual conference on Genetic and evolutionary …, 2009	25	2009

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