| A classification of hyper-heuristic approaches EK Burke, M Hyde, G Kendall, G Ochoa, E Özcan, JR Woodward Handbook of metaheuristics, 449-468, 2010 | 711 | 2010 |
| Exploring hyper-heuristic methodologies with genetic programming EK Burke, MR Hyde, G Kendall, G Ochoa, E Ozcan, JR Woodward Computational intelligence: Collaboration, fusion and emergence, 177-201, 2009 | 320 | 2009 |
| A context-aware personalized travel recommendation system based on geotagged social media data mining A Majid, L Chen, G Chen, HT Mirza, I Hussain, J Woodward International Journal of Geographical Information Science 27 (4), 662-684, 2013 | 283 | 2013 |
| Genetic improvement of software: a comprehensive survey J Petke, SO Haraldsson, M Harman, WB Langdon, DR White, ... IEEE Transactions on Evolutionary Computation 22 (3), 415-432, 2017 | 238 | 2017 |
| A classification of hyper-heuristic approaches: revisited EK Burke, MR Hyde, G Kendall, G Ochoa, E Özcan, JR Woodward Handbook of metaheuristics, 453-477, 2019 | 183 | 2019 |
| A genetic programming hyper-heuristic approach for evolving 2-D strip packing heuristics EK Burke, M Hyde, G Kendall, J Woodward IEEE Transactions on Evolutionary Computation 14 (6), 942-958, 2010 | 157 | 2010 |
| Automatic heuristic generation with genetic programming: evolving a jack-of-all-trades or a master of one EK Burke, MR Hyde, G Kendall, J Woodward Proceedings of the 9th annual conference on Genetic and evolutionary …, 2007 | 150 | 2007 |
| A personal route prediction system based on trajectory data mining L Chen, M Lv, Q Ye, G Chen, J Woodward Information Sciences 181 (7), 1264-1284, 2011 | 132 | 2011 |
| 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, 3-35, 2014 | 114 | 2014 |
| Automating the packing heuristic design process with genetic programming EK Burke, MR Hyde, G Kendall, J Woodward Evolutionary computation 20 (1), 63-89, 2012 | 99 | 2012 |
| Observation of centrally produced θf2 (1720) in the reaction pp→ pf (KK) ps at 300 GeV/< i> c</i> TA Armstrong, M Benayoun, W Beusch, IJ Bloodworth, JN Carney, ... Physics Letters B 227 (1), 186-190, 1989 | 95 | 1989 |
| The scalability of evolved on line bin packing heuristics KGWJ Burke Edmund, Hyde Matthew Evolutionary Computation, 2007. CEC 2007. IEEE Congress on, 2530-2537, 2007 | 66* | 2007 |
| Fixing bugs in your sleep: How genetic improvement became an overnight success SO Haraldsson, JR Woodward, AEI Brownlee, K Siggeirsdottir Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2017 | 63 | 2017 |
| The automatic generation of mutation operators for genetic algorithms JR Woodward, J Swan Proceedings of the 14th annual conference companion on Genetic and …, 2012 | 62 | 2012 |
| A histogram-matching approach to the evolution of bin-packing strategies R Poli, J Woodward, EK Burke 2007 IEEE Congress on Evolutionary Computation, 3500-3507, 2007 | 56 | 2007 |
| A fuzzy approach to addressing uncertainty in airport ground movement optimisation AEI Brownlee, M Weiszer, J Chen, S Ravizza, JR Woodward, EK Burke Transportation Research Part C: Emerging Technologies 92, 150-175, 2018 | 53 | 2018 |
| Breakout local search for the multi-objective gate allocation problem U Benlic, EK Burke, JR Woodward Computers & Operations Research 78, 80-93, 2017 | 52 | 2017 |
| Natural SQL: Making SQL easier to infer from natural language specifications Y Gan, X Chen, J Xie, M Purver, JR Woodward, J Drake, Q Zhang arXiv preprint arXiv:2109.05153, 2021 | 48 | 2021 |
| Towards robustness of text-to-SQL models against synonym substitution Y Gan, X Chen, Q Huang, M Purver, JR Woodward, J Xie, P Huang arXiv preprint arXiv:2106.01065, 2021 | 48 | 2021 |
| Searching the hyper-heuristic design space J Swan, J Woodward, E Özcan, G Kendall, E Burke Cognitive Computation 6, 66-73, 2014 | 46 | 2014 |
Edmund Kieran BurkeBangor UniversityVerified email at bangor.ac.uk
