Steven Gustafson

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Edmund Kieran BurkeBangor UniversityVerified email at bangor.ac.uk
Natalio KrasnogorProfessor of Computing Science and Synthetic Biology, Newcastle UniversityVerified email at ncl.ac.uk
Professor Graham KendallMILA UniversityVerified email at mila.edu.my
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
Bo LiuPhD, AAAI SM, IEEE SMVerified email at cs.umass.edu
Daoming LyuPostdoc, Weill Cornell Medicine, Cornell UniversityVerified email at med.cornell.edu
Michael O'NeillFull Professor of Business Analytics, University College DublinVerified email at ucd.ie
David B. BracewellPrincipal Scientist - Language Computer CorporationVerified email at davidbracewell.com
William H. HsuProfessor of Computer Science, Kansas State UniversityVerified email at ksu.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 ShethNCR Chair & Prof.; Founding Director, AI Institute; U. of South CarolinaVerified email at sc.edu
Meng-Hiot LimProfessor of EEEVerified email at ntu.edu.sg
Yew-Soon OngPresident Chair Professor of Computer Science, A*Star AI Chief Scientist, FIEEEVerified email at ntu.edu.sg
Paul CuddihySenior Scientist, Semantics. GE Global ResearchVerified email at research.ge.com

Steven Gustafson

University of Washington, BigFilter.ai

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	440	2004
Open issues in genetic programming M O’Neill, L Vanneschi, S Gustafson, W Banzhaf Genetic Programming and Evolvable Machines 11, 339-363, 2010	285	2010
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	180	2019
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	161	2018
A Study on the use of``self-generation''in memetic algorithms N Krasnogor, S Gustafson Natural Computing 3, 53-76, 2004	141	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	139	2002
2019 evolutionary algorithms review AN Sloss, S Gustafson Genetic programming theory and practice XVII, 307-344, 2020	106	2020
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	106	2002
On improving genetic programming for symbolic regression S Gustafson, EK Burke, N Krasnogor 2005 IEEE Congress on Evolutionary Computation 1, 912-919, 2005	105	2005
An analysis of diversity in genetic programming SM Gustafson University of Nottingham, 2004	97	2004
Layered learning in genetic programming for a cooperative robot soccer problem SM Gustafson, WH Hsu European Conference on Genetic Programming, 291-301, 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	75	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	75	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	67	2006
Systems self-assembly: multidisciplinary snapshots N Krasnogor, S Gustafson, DA Pelta, JL Verdegay Elsevier, 2011	58	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	57	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	48	2014
Methods and systems for identifying gaps in predictive model ontology AG Royval, SM Gustafson, RKR Palla US Patent App. 15/354,235, 2018	47	2018
Genetic programming and evolvable machines: ten years of reviews WB Langdon, SM Gustafson Genetic Programming and Evolvable Machines 11, 321-338, 2010	46*	2010
Editorial to the first issue MH Lim, S Gustafson, N Krasnogor, YS Ong Memetic Computing 1, 1-2, 2009	38	2009

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