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Jerry Swan
Jerry Swan
CEO, Hylomorph Solutions
Verified email at hylomorph-solutions.com - Homepage
Title
Cited by
Cited by
Year
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
1342014
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
1072014
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
852020
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
842016
The automatic generation of mutation operators for genetic algorithms
JR Woodward, J Swan
Proceedings of the 14th annual conference companion on Genetic and …, 2012
632012
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
60*2015
Hyperion – A Recursive Hyper-Heuristic Framework
J Swan, E Özcan, G Kendall
International conference on learning and intelligent optimization, 616-630, 2011
532011
Searching the hyper-heuristic design space
J Swan, J Woodward, E Özcan, G Kendall, E Burke
Cognitive Computation 6, 66-73, 2014
472014
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
402019
Automatically designing selection heuristics
JR Woodward, J Swan
Proceedings of the 13th annual conference companion on Genetic and …, 2011
392011
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
342015
Pattern-guided genetic programming
K Krawiec, J Swan
Proceedings of the 15th annual conference on Genetic and evolutionary …, 2013
342013
Metaheuristic design pattern: surrogate fitness functions
AEI Brownlee, JR Woodward, J Swan
Proceedings of the Companion Publication of the 2015 Annual Conference on …, 2015
292015
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
282014
Templar–a framework for template-method hyper-heuristics
J Swan, N Burles
European Conference on Genetic Programming, 205-216, 2015
252015
Template method hyper-heuristics
JR Woodward, J Swan
Proceedings of the Companion Publication of the 2014 Annual Conference on …, 2014
242014
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
232018
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
212017
Behavioral program synthesis: Insights and prospects
K Krawiec, J Swan, UM O’Reilly
Genetic programming theory and practice XIII, 169-183, 2016
212016
A re-characterization of hyper-heuristics
J Swan, P De Causmaecker, S Martin, E Özcan
Recent developments in metaheuristics, 75-89, 2018
202018
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