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Richard Preen
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年份
3D printed components of microbial fuel cells: Towards monolithic microbial fuel cell fabrication using additive layer manufacturing
J You, RJ Preen, L Bull, J Greenman, I Ieropoulos
Sustainable Energy Technologies and Assessments 19, 94-101, 2017
1002017
Toward the coevolution of novel vertical-axis wind turbines
RJ Preen, L Bull
IEEE Transactions on Evolutionary Computation 19 (2), 284-294, 2015
602015
Towards an evolvable cancer treatment simulator
RJ Preen, L Bull, A Adamatzky
BioSystems 182, 1-7, 2019
302019
Towards the evolution of vertical-axis wind turbines using supershapes
RJ Preen, L Bull
Evolutionary Intelligence 7 (3), 155-167, 2014
25*2014
Discrete dynamical genetic programming in XCS
RJ Preen, L Bull
Proceedings of the 11th Annual Conference on Genetic and Evolutionary …, 2009
202009
Autoencoding with a classifier system
RJ Preen, SW Wilson, L Bull
IEEE Transactions on Evolutionary Computation 25 (6), 1079-1090, 2021
17*2021
On dynamical genetic programming: Random Boolean networks in learning classifier systems
L Bull, RJ Preen
Proceedings of the 12th European Conference on Genetic Programming, 37-48, 2009
172009
Design mining interacting wind turbines
RJ Preen, L Bull
Evolutionary Computation 24 (1), 89-111, 2016
132016
Evolutionary -level hypergraph partitioning with adaptive coarsening
RJ Preen, J Smith
IEEE Transactions on Evolutionary Computation 23 (6), 962-971, 2019
112019
Discrete and fuzzy dynamical genetic programming in the XCSF learning classifier system
RJ Preen, L Bull
Soft Computing 18 (1), 153-167, 2014
102014
Design mining microbial fuel cell cascades
RJ Preen, J You, L Bull, IA Ieropoulos
Soft Computing 23 (13), 4673–4683, 2019
92019
Dynamical genetic programming in XCSF
RJ Preen, L Bull
Evolutionary Computation 21 (3), 361-387, 2013
92013
GRAIMATTER Green Paper: Recommendations for disclosure control of trained machine learning (ML) models from trusted research environments (TREs)
E Jefferson, J Liley, M Malone, S Reel, A Crespi-Boixader, X Kerasidou, ...
arXiv preprint arXiv:2211.01656, 2022
82022
An XCS approach to forecasting financial time series
RJ Preen
Proceedings of the 11th Annual Conference on Genetic and Evolutionary …, 2009
82009
Fuzzy dynamical genetic programming in XCSF
RJ Preen, L Bull
Proceedings of the 13th Annual Conference on Genetic and Evolutionary …, 2011
62011
Deep learning with a classifier system: Initial results
RJ Preen, L Bull
arXiv preprint arXiv:2103.01118, 2021
52021
XCSF
RJ Preen, D Pätzel
https://doi.org/10.5281/zenodo.4277257, 2021
42021
On design mining: Coevolution and surrogate models
RJ Preen, L Bull
Artificial Life 23 (2), 186-205, 2017
42017
SACRO: Semi-Automated Checking Of Research Outputs
J Smith, R Preen, M Albashir, F Ritchie, E Green, S Davy, P Stokes, ...
United Nations Economic Commission for Europe Conference of European …, 2023
1*2023
Identifying trade entry and exit timing using mathematical technical indicators in XCS
RJ Preen
Learning Classifier Systems 6471, 166-184, 2010
12010
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