Steven Gustafson

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	All	Since 2016
Citations	2364	784
h-index	24	14
i10-index	45	22

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Co-authors

Edmund Kieran BurkeUniversity of LeicesterVerified email at leicester.ac.uk
Natalio KrasnogorProfessor of Computing Science and Synthetic Biology, Newcastle UniversityVerified email at ncl.ac.uk
Professor Graham KendallProvost, CEO and Pro-Vice Chancellor, University of NottinghamVerified email at nottingham.edu.my
Abha MoitraGE Global ResearchVerified email at ge.com
Leonardo VanneschiNOVA IMS, Universidade Nova de LisboaVerified email at isegi.unl.pt
David B. BracewellPrincipal Scientist - Language Computer CorporationVerified email at davidbracewell.com
William H. HsuProfessor of Computer Science, Kansas State UniversityVerified email at ksu.edu
Michael O'NeillFull Professor of Business Analytics, University College DublinVerified email at ucd.ie
Fangkai YangNVIDIAVerified email at nvidia.com
Bo LiuAuburn UniversityVerified email at cs.umass.edu
Anikó EkártReader, Computer Science, Aston University, United KingdomVerified email at aston.ac.uk
w b langdonUCLVerified email at cs.ucl.ac.uk
Wolfgang BanzhafKoza Chair in Genetic Programming, Michigan State University, USAVerified email at msu.edu
Feng (Fred) XueSenior Machine Learning Researcher, GE Global ResearchVerified email at ge.com
Luis TariUpToDate, Wolters Kluwer HealthVerified email at asu.edu
Amit ShethDirector, AI Institute, University of South CarolinaVerified email at sc.edu
José Luis VerdegayProfessor of Computer Science and Artificial Intelligence, University of GranadaVerified email at ugr.es
David PeltaModels of Decision and Optimization Research Group, University of GranadaVerified email at ugr.es
Ivanoe De FalcoSenior researcher, ICAR - CNRVerified email at na.icar.cnr.it
Paul CuddihySenior Scientist, Semantics. GE Global ResearchVerified email at research.ge.com

Steven Gustafson

Noonum, Maana, Kansas State University, University of Nottingham, GE Global Research

Verified email at noonum.com - Homepage

Evolutionary Computation Genetic Programming Machine Learning Data Mining Knowledge Discovery from Data


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Diversity in genetic programming: An analysis of measures and correlation with fitness EK Burke, S Gustafson, G Kendall IEEE Transactions on Evolutionary Computation 8 (1), 47-62, 2004	345	2004
Open issues in genetic programming M O’Neill, L Vanneschi, S Gustafson, W Banzhaf Genetic Programming and Evolvable Machines 11 (3-4), 339-363, 2010	234	2010
A Study on the use of``self-generation''in memetic algorithms N Krasnogor, S Gustafson Natural Computing 3 (1), 53-76, 2004	131	2004
A survey and analysis of diversity measures in genetic programming E Burke, S Gustafson, G Kendall Proceedings of the 4th Annual Conference on Genetic and Evolutionary …, 2002	130	2002
Advanced population diversity measures in genetic programming E Burke, S Gustafson, G Kendall, N Krasnogor International Conference on Parallel Problem Solving from Nature, 341-350, 2002	89	2002
An analysis of diversity in genetic programming SM Gustafson University of Nottingham, 2004	88	2004
Layered learning in genetic programming for a cooperative robot soccer problem SM Gustafson, WH Hsu European Conference on Genetic Programming, 291-301, 2001	86	2001
On improving genetic programming for symbolic regression S Gustafson, EK Burke, N Krasnogor 2005 IEEE Congress on Evolutionary Computation 1, 912-919, 2005	78	2005
Problem difficulty and code growth in genetic programming S Gustafson, A Ekárt, E Burke, G Kendall Genetic Programming and Evolvable Machines 5 (3), 271-290, 2004	69	2004
Genetic programming and multi-agent layered learning by reinforcements WH Hsu, SM Gustafson Proceedings of the 4th Annual Conference on Genetic and Evolutionary …, 2002	68	2002
The speciating island model: An alternative parallel evolutionary algorithm S Gustafson, EK Burke Journal of Parallel and Distributed Computing 66 (8), 1025-1036, 2006	59	2006
Systems self-assembly: multidisciplinary snapshots N Krasnogor, S Gustafson, DA Pelta, JL Verdegay Elsevier, 2011	54	2011
Toward truly" memetic" memetic algorithms: discussion and proofs of concept N Krasnogor, S Gustafson Advances in Nature-Inspired Computation: The PPSN VII Workshops. PEDAL …, 2002	53	2002
Peorl: Integrating symbolic planning and hierarchical reinforcement learning for robust decision-making F Yang, D Lyu, B Liu, S Gustafson arXiv preprint arXiv:1804.07779, 2018	49	2018
Diffusion-weighted MRI of hepatocellular carcinoma in cirrhosis KS Lim Clinical radiology 69 (1), 1-10, 2014	49	2014
Systems and methods for facilitating the gathering of open source intelligence A Moitra, DB Bracewell, SM Gustafson, TM Baylor, TH Chau US Patent 8,650,198, 2014	42	2014
An effective biometric discretization approach to extract highly discriminative, informative, and privacy-protective binary representation MH Lim, ABJ Teoh EURASIP Journal on Advances in Signal Processing 2011 (1), 107, 2011	40	2011
Genetic programming and evolvable machines: ten years of reviews WB Langdon, SM Gustafson Genetic Programming and Evolvable Machines 11 (3-4), 321-338, 2010	35*	2010
Systems and methods for facilitating open source intelligence gathering A Moitra, DB Bracewell, SM Gustafson, TM Baylor, TH Chau US Patent 8,620,849, 2013	33	2013
Crossover-based tree distance in genetic programming S Gustafson, L Vanneschi IEEE Transactions on Evolutionary Computation 12 (4), 506-524, 2008	33	2008

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