Jerry Swan

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Krzysztof KrawiecProfessor of Computer Science, Poznan University of TechnologyVerified email at cs.put.poznan.pl
Zoltan A. KocsisCommonwealth Scientific and Industrial Research OrganisationVerified email at csiro.au
Timothy AtkinsonResearch Scientist, InstaDeep LTDVerified email at instadeep.com
Professor Graham KendallMILA UniversityVerified email at mila.edu.my
Nathan BurlesResearch Associate in Computer Science, University of YorkVerified email at york.ac.uk
Edmund Kieran BurkeBangor UniversityVerified email at bangor.ac.uk
Mike J JacksonEmeritus Professor of Geospatial Science, Nottingham Geospatial Institute, University of NottinghamVerified email at nottingham.ac.uk
Martin CarpioTecnológico Nacional de México/Instituto Tecnológico de LeónVerified email at leon.tecnm.mx
John H. DrakeUniversity of LeicesterVerified email at leicester.ac.uk
Gisele L. PappaComputer Science, Universidade Federal de Minas GeraisVerified email at dcc.ufmg.br
Jorge Alberto Soria AlcarazUniversidad de Guanajuato. Doctor en Ciencias en ComputacionVerified email at ugto.mx
Bas SteunebrinkJua.aiVerified email at jua.ai
Colin JohnsonUniversity of NottinghamVerified email at nottingham.ac.uk
Nadarajen VeerapenAssociate Professor (maître de conférences), University of LilleVerified email at univ-lille.fr
Simon MartinResearch Assistant. Computing and Mathematics, University of StirlingVerified email at cs.stir.ac.uk
Geoffrey NeumannPost-doctoral Research Fellow, SOES, University of SouthamptonVerified email at soton.ac.uk
Piotr DziurzanskiUniversity of YorkVerified email at york.ac.uk
Leandro Soares IndrusiakSchool of Computing, University of Leeds, UKVerified email at leeds.ac.uk
Jules HedgesUniversity of StrathclydeVerified email at strath.ac.uk
Steven AdriaensenInterim Professor, Albert-Ludwigs-Universität FreiburgVerified email at informatik.uni-freiburg.de

Jerry Swan

CEO, Hylomorph Solutions

Verified email at hylomorph-solutions.com - Homepage

Artificial Intelligence Metaheuristics Group Theory


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Contrasting meta-learning and hyper-heuristic research GL Pappa, G Ochoa, MR Hyde, AA Freitas, J Woodward, J Swan Genetic Programming and Evolvable Machines 15 (1), 3-35, 2014	135	2014
Effective learning hyper-heuristics for the course timetabling problem JA Soria-Alcaraz, G Ochoa, J Swan, M Carpio, H Puga, EK Burke European Journal of Operational Research 238 (1), 77-86, 2014	111	2014
Metaheuristics "In the Large" J Swan, S Adraensen, AEI Brownlee, CG Johnson, A Kheiri, F Krawiec, ... European Journal of Operational Research, 2022 297 (2), 393-406, 2020	101	2020
Iterated local search using an add and delete hyper-heuristic for university course timetabling JA Soria-Alcaraz, E Özcan, J Swan, G Kendall, M Carpio Applied Soft Computing 40, 581-593, 2016	86	2016
The automatic generation of mutation operators for genetic algorithms JR Woodward, J Swan Proceedings of the 14th annual conference companion on Genetic and …, 2012	63	2012
A Research Agenda for Metaheuristic Standardization J Swan, S Adriaensen, M Bishr, EK Burke, JA Clark, P De Causmaecker, ... MIC 2015 : The XI Metaheuristics International Conference, 2015	62*	2015
Hyperion – A Recursive Hyper-Heuristic Framework J Swan, E Özcan, G Kendall International conference on learning and intelligent optimization, 616-630, 2011	53	2011
Searching the hyper-heuristic design space J Swan, J Woodward, E Özcan, G Kendall, E Burke Cognitive Computation 6, 66-73, 2014	47	2014
The text-based adventure AI competition T Atkinson, H Baier, T Copplestone, S Devlin, J Swan IEEE Transactions on Games 11 (3), 260-266, 2019	40	2019
Automatically designing selection heuristics JR Woodward, J Swan Proceedings of the 13th annual conference companion on Genetic and …, 2011	39	2011
Object-oriented genetic improvement for improved energy consumption in Google Guava N Burles, E Bowles, AEI Brownlee, ZA Kocsis, J Swan, N Veerapen Search-Based Software Engineering: 7th International Symposium, SSBSE 2015 …, 2015	35	2015
Pattern-guided genetic programming K Krawiec, J Swan Proceedings of the 15th annual conference on Genetic and evolutionary …, 2013	34	2013
Metaheuristic design pattern: surrogate fitness functions AEI Brownlee, JR Woodward, J Swan Proceedings of the Companion Publication of the 2015 Annual Conference on …, 2015	30	2015
Gen-O-Fix: An embeddable framework for Dynamic Adaptive Genetic Improvement Programming J Swan, M Epitropakis, J Woodward https://github.com/JerrySwan/JerrySwan.github.io/blob/master/publications …, 2014	28	2014
Value-based manufacturing optimisation in serverless clouds for industry 4.0 P Dziurzanski, J Swan, LS Indrusiak Proceedings of the Genetic and Evolutionary Computation Conference, 1222-1229, 2018	25	2018
Templar–a framework for template-method hyper-heuristics J Swan, N Burles European Conference on Genetic Programming, 205-216, 2015	25	2015
Template method hyper-heuristics JR Woodward, J Swan Proceedings of the Companion Publication of the 2014 Annual Conference on …, 2014	24	2014
Search-based energy optimization of some ubiquitous algorithms AEI Brownlee, N Burles, J Swan IEEE Transactions on Emerging Topics in Computational Intelligence 1 (3 …, 2017	22	2017
Behavioral program synthesis: Insights and prospects K Krawiec, J Swan, UM O’Reilly Genetic programming theory and practice XIII, 169-183, 2016	21	2016
A re-characterization of hyper-heuristics J Swan, P De Causmaecker, S Martin, E Özcan Recent developments in metaheuristics, 75-89, 2018	20	2018

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