Andrew M. Sutton

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L. Darrell WhitleyProfessor of Computer Science, Colorado State UniversityEmail verificata su cs.colostate.edu
Tobias FriedrichChair for Algorithm Engineering, Hasso Plattner Institute, Potsdam, GermanyEmail verificata su hpi.de
Frank NeumannOptimisation and Logistics, School of ComputerEmail verificata su adelaide.edu.au
Adele HoweProfessor of Computer Science, Colorado State University Email verificata su cs.colostate.edu
Martin S. KrejcaLIX, CNRS, Ecole Polytechnique, IPPEmail verificata su polytechnique.edu
Dirk SudholtUniversity of Passau, GermanyEmail verificata su uni-passau.de
Per Kristian LehreProfessor at University of Birmingham and UKRI Turing AI Acceleration FellowEmail verificata su bham.ac.uk
Duc-Cuong DangUniversity of Southampton, UKEmail verificata su soton.ac.uk
Pietro S. OlivetoProfessor of Computer Science, Chair in Algorithms, The University of SheffieldEmail verificata su sheffield.ac.uk
Francisco ChicanoAssociate, University of MálagaEmail verificata su lcc.uma.es
Benjamin DoerrProfessor at Ecole Polytechnique, FranceEmail verificata su lix.polytechnique.fr
Ralf RothenbergerHasso Plattner Institute PotsdamEmail verificata su hpi.de
Aneta NeumannResearcher, The University of Adelaide, AustraliaEmail verificata su adelaide.edu.au
Tiago PaixaoInstituto Gulbenkian de CiênciaEmail verificata su igc.gulbenkian.pt
Anton KrohmerGoogle Germany GmbH, Munich, GermanyEmail verificata su google.com
Barbora TrubenováETH ZurichEmail verificata su env.ethz.ch
Enrique AlbaProfessor of Computer Science, University of MálagaEmail verificata su lcc.uma.es
Carola DoerrCNRS research director (DR) at Sorbonne Université, Paris, FranceEmail verificata su mpi-inf.mpg.de
Una-May O'ReillyMIT, CSAIL, Any Scale Learning for All (ALFA) GroupEmail verificata su csail.mit.edu
Golnaz BadkobehCity, University of LondonEmail verificata su city.ac.uk

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Andrew M. Sutton

University of Minnesota Duluth

Email verificata su umn.edu - Home page

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


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
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	145	2017
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	110	2017
Genetic Algorithms—A Survey of Models and Methods D Whitley, AM Sutton Handbook of Natural Computing, 637-671, 2012	104	2012
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	98	2007
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	76	2016
Understanding elementary landscapes D Whitley, AM Sutton, AE Howe Proceedings of the 10th annual conference on Genetic and evolutionary …, 2008	60	2008
Fitness probability distribution of bit-flip mutation F Chicano, AM Sutton, LD Whitley, E Alba Evolutionary computation 23 (2), 217-248, 2015	59	2015
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	59	2006
The impact of global structure on search M Lunacek, D Whitley, A Sutton Parallel Problem Solving from Nature–PPSN X, 498-507, 2008	57	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	53	2016
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	52	2014
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	52	2009
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	45	2018
A parameterized runtime analysis of evolutionary algorithms for the Euclidean traveling salesperson problem AM Sutton, F Neumann Arxiv preprint arXiv:1207.0578, 2012	45	2012
Optimization of Chance-Constrained Submodular Functions. B Doerr, C Doerr, A Neumann, F Neumann, AM Sutton AAAI, 1460-1467, 2020	43	2020
Robustness of ant colony optimization to noise T Friedrich, T Kötzing, MS Krejca, AM Sutton Evolutionary computation 24 (2), 237-254, 2016	43	2016
The Benefit of Recombination in Noisy Evolutionary Search AM Sutton Algorithms and Computation: 26th International Symposium, ISAAC 2015, Nagoya …, 2015	33*	2015
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	33	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	33	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	33	2012

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