Jerry Swan
Jerry Swan
Research Scientist, NNAISENSE SA
Verified email at - Homepage
Cited by
Cited by
Contrasting meta-learning and hyper-heuristic research: the role of evolutionary algorithms
GL Pappa, G Ochoa, MR Hyde, AA Freitas, J Woodward, J Swan
Genetic Programming and Evolvable Machines 15 (1), 3-35, 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
The automatic generation of mutation operators for genetic algorithms
JR Woodward, J Swan
Proceedings of the 14th annual conference companion on Genetic and†…, 2012
Iterated local search using an add and delete hyper-heuristic for university course timetabling
JA Soria-Alcaraz, E ÷zcan, J Swan, G Kendall, M Carpio
Applied Soft Computing 40, 581-593, 2016
Hyperion–a recursive hyper-heuristic framework
J Swan, E ÷zcan, G Kendall
International Conference on Learning and Intelligent Optimization, 616-630, 2011
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
Searching the hyper-heuristic design space
J Swan, J Woodward, E ÷zcan, G Kendall, E Burke
Cognitive Computation 6 (1), 66-73, 2014
Automatically designing selection heuristics
JR Woodward, J Swan
Proceedings of the 13th annual conference companion on Genetic and†…, 2011
Pattern-guided genetic programming
K Krawiec, J Swan
Proceedings of the 15th annual conference on Genetic and evolutionary†…, 2013
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
Gen-O-Fix: An embeddable framework for Dynamic Adaptive Genetic Improvement Programming
J Swan, M Epitropakis, J Woodward†…, 2014
Object-oriented genetic improvement for improved energy consumption in Google Guava
N Burles, E Bowles, AEI Brownlee, ZA Kocsis, J Swan, N Veerapen
International Symposium on Search Based Software Engineering, 255-261, 2015
Templar–a framework for template-method hyper-heuristics
J Swan, N Burles
European Conference on Genetic Programming, 205-216, 2015
Metaheuristic design pattern: surrogate fitness functions
AEI Brownlee, JR Woodward, J Swan
Proceedings of the Companion Publication of the 2015 Annual Conference on†…, 2015
Template method hyper-heuristics
JR Woodward, J Swan
Proceedings of the Companion Publication of the 2014 Annual Conference on†…, 2014
AnswerTree–a hyperplace-based game for collaborative mobile learning
A Moore, J Goulding, E Brown, J Swan
Behavioral program synthesis: Insights and prospects
K Krawiec, J Swan, UM O’Reilly
Genetic programming theory and practice XIII, 169-183, 2016
Automated schematization for web service applications
J Swan, S Anand, M Ware, M Jackson
International Symposium on Web and Wireless Geographical Information Systems†…, 2007
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
A re-characterization of hyper-heuristics
J Swan, PD Causmaecker, S Martin, E ÷zcan
Recent developments in metaheuristics, 75-89, 2018
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