| International Series in Operations Research & Management Science FS Hillier, CC Price Springer: Berlin/Heidelberg, Germany, 2001 | 5997 | 2001 |
| Hyper-heuristics: A survey of the state of the art EK Burke, M Gendreau, M Hyde, G Kendall, G Ochoa, E Ozcan, R Qu Journal of the Operational Research Society (JORS) 64 (12), 1695-1724, 2013 | 2448* | 2013 |
| A classification of hyper-heuristic approaches EK Burke, M Hyde, G Kendall, G Ochoa, E Özcan, JR Woodward Handbook of Metaheuristics, 449-468, 2010 | 817 | 2010 |
| Google Trends in infodemiology and infoveillance: methodology framework A Mavragani, G Ochoa JMIR public health and surveillance 5 (2), e13439, 2019 | 520 | 2019 |
| Assessing the methods, tools, and statistical approaches in Google Trends research: systematic review A Mavragani, G Ochoa, KP Tsagarakis Journal of Medical Internet Research 20 (11), e270, 2018 | 438 | 2018 |
| 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 | 366 | 2009 |
| A classification of hyper-heuristic approaches: revisited EK Burke, MR Hyde, G Kendall, G Ochoa, E Özcan, JR Woodward Handbook of metaheuristics, 453-477, 2018 | 265 | 2018 |
| HyFlex: a benchmark framework for cross-domain heuristic search G Ochoa, M Hyde, T Curtois, JA Vazquez-Rodriguez, J Walker, ... Evolutionary Computation in Combinatorial Optimization, 136-147, 2012 | 250 | 2012 |
| A study of NK landscapes' basins and local optima networks G Ochoa, M Tomassini, S Vérel, C Darabos Proceedings of the 10th annual conference on Genetic and evolutionary …, 2008 | 239 | 2008 |
| A reinforcement learning: great-deluge hyper-heuristic for examination timetabling E Özcan, M Misir, G Ochoa, EK Burke Modeling, analysis, and applications in metaheuristic computing …, 2012 | 188 | 2012 |
| Optimising antibiotic usage to treat bacterial infections IK Paterson, A Hoyle, G Ochoa, C Baker-Austin, NGH Taylor Scientific reports 6 (1), 37853, 2016 | 174 | 2016 |
| 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 | 145 | 2014 |
| Local optima networks of NK landscapes with neutrality S Verel, G Ochoa, M Tomassini IEEE Transactions on Evolutionary Computation 15 (6), 783-797, 2010 | 134 | 2010 |
| Local optima networks: A new model of combinatorial fitness landscapes G Ochoa, S Verel, F Daolio, M Tomassini Recent advances in the theory and application of fitness landscapes, 233-262, 2014 | 126 | 2014 |
| Search trajectory networks: A tool for analysing and visualising the behaviour of metaheuristics G Ochoa, KM Malan, C Blum Applied Soft Computing 109, 107492, 2021 | 125 | 2021 |
| On genetic algorithms and Lindenmayer systems G Ochoa International Conference on Parallel Problem Solving from Nature, 335-344, 1998 | 120 | 1998 |
| 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 | 118 | 2014 |
| Iterated local search vs. hyper-heuristics: Towards general-purpose search algorithms E Burke, T Curtois, M Hyde, G Kendall, G Ochoa, S Petrovic, ... IEEE congress on evolutionary computation, 1-8, 2010 | 111 | 2010 |
| A unified hyper-heuristic framework for solving bin packing problems E López-Camacho, H Terashima-Marin, P Ross, G Ochoa Expert Systems with Applications 41 (15), 6876-6889, 2014 | 96 | 2014 |
| Analyzing the landscape of a graph based hyper-heuristic for timetabling problems G Ochoa, R Qu, EK Burke Proceedings of the 11th Annual conference on Genetic and evolutionary …, 2009 | 92 | 2009 |
Edmund Kieran BurkeBangor UniversityVerified email at bangor.ac.uk
