Steven Gustafson

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Edmund Kieran BurkeBangor UniversityVerified email at bangor.ac.uk
Professor Graham KendallCEO of the Good Capitalism ForumVerified email at nottingham.edu.my
Natalio KrasnogorProfessor of Computing Science and Synthetic Biology, Newcastle UniversityVerified email at ncl.ac.uk
Abha MoitraGE Global ResearchVerified email at ge.com
Leonardo VanneschiNOVA IMS, Universidade Nova de LisboaVerified email at isegi.unl.pt
Fangkai YangNVIDIAVerified email at nvidia.com
David B. BracewellPrincipal Scientist - Language Computer CorporationVerified email at davidbracewell.com
Michael O'NeillFull Professor of Business Analytics, University College DublinVerified email at ucd.ie
William H. HsuProfessor of Computer Science, Kansas State UniversityVerified email at ksu.edu
Bo LiuML/AIVerified email at cs.umass.edu
Anikó EkártProfessor, 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) XueGE ResearchVerified email at ge.com
Luis TariUpToDate, Wolters Kluwer HealthVerified email at asu.edu
Amit ShethDirector, AI Institute; NCR Chair, U. of South CarolinaVerified email at sc.edu
Ivanoe De FalcoResearch Director, ICAR - CNRVerified email at icar.cnr.it
José Luis VerdegayProfessor of Computer Science and Artificial Intelligence, University of GranadaVerified email at ugr.es
David PeltaModels of Decision and Optimization Research Group, Dept. of Comp. Science and A.I., Universidad deVerified email at ugr.es
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	405	2004
Open issues in genetic programming M O’Neill, L Vanneschi, S Gustafson, W Banzhaf Genetic Programming and Evolvable Machines 11, 339-363, 2010	252	2010
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	138	2002
A Study on the use of``self-generation''in memetic algorithms N Krasnogor, S Gustafson Natural Computing 3, 53-76, 2004	134	2004
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	116	2018
SDRL: interpretable and data-efficient deep reinforcement learning leveraging symbolic planning D Lyu, F Yang, B Liu, S Gustafson Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 2970-2977, 2019	111	2019
Advanced population diversity measures in genetic programming E Burke, S Gustafson, G Kendall, N Krasnogor Parallel Problem Solving from Nature—PPSN VII: 7th International Conference …, 2002	97	2002
On improving genetic programming for symbolic regression S Gustafson, EK Burke, N Krasnogor 2005 IEEE Congress on Evolutionary Computation 1, 912-919, 2005	96	2005
An analysis of diversity in genetic programming SM Gustafson University of Nottingham, 2004	93	2004
Layered learning in genetic programming for a cooperative robot soccer problem SM Gustafson, WH Hsu Genetic Programming: 4th European Conference, EuroGP 2001 Lake Como, Italy …, 2001	88	2001
Problem difficulty and code growth in genetic programming S Gustafson, A Ekart, E Burke, G Kendall Genetic Programming and Evolvable Machines 5, 271-290, 2004	76	2004
2019 evolutionary algorithms review AN Sloss, S Gustafson Genetic programming Theory and practice XVII, 307-344, 2020	74	2020
Genetic programming and multi-agent layered learning by reinforcements WH Hsu, SM Gustafson Proceedings of the 4th Annual Conference on Genetic and Evolutionary …, 2002	73	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	65	2006
Systems self-assembly: multidisciplinary snapshots N Krasnogor, S Gustafson, DA Pelta, JL Verdegay Elsevier, 2011	60	2011
Toward truly “memetic” memetic algorithms: discussion and proof of concepts,” N Krasnogor, S Gustafson Advances in nature-inspired computation: the PPSN VII workshops 16 (52), 2002	53	2002
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	47	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, 1-16, 2011	42	2011
Genetic programming and evolvable machines: ten years of reviews WB Langdon, SM Gustafson Genetic Programming and Evolvable Machines 11, 321-338, 2010	42*	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	35	2013

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