Hyper-heuristics: A survey of the state of the art EK Burke, M Gendreau, M Hyde, G Kendall, G Ochoa, E Özcan, R Qu Journal of the Operational Research Society 64 (12), 1695-1724, 2013 | 1446 | 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 | 774 | 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 | 343 | 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, 2019 | 224 | 2019 |
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: 12th European …, 2012 | 224 | 2012 |
Evolving bin packing heuristics with genetic programming EK Burke, MR Hyde, G Kendall International Conference on Parallel Problem Solving from Nature, 860-869, 2006 | 196 | 2006 |
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 | 165 | 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 | 158 | 2007 |
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 | 134 | 2014 |
Grammatical evolution of local search heuristics EK Burke, MR Hyde, G Kendall IEEE Transactions on Evolutionary Computation 16 (3), 406-417, 2011 | 114 | 2011 |
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 | 109 | 2010 |
Automating the packing heuristic design process with genetic programming EK Burke, MR Hyde, G Kendall, J Woodward Evolutionary computation 20 (1), 63-89, 2012 | 108 | 2012 |
A survey of hyper-heuristics EK Burke, M Hyde, G Kendall, G Ochoa, E Ozcan, R Qu Computer Science Technical Report No. NOTTCS-TR-SUB-0906241418-2747, School …, 2009 | 82 | 2009 |
Handbook of metaheuristics EK Burke, M Hyde, G Kendall, G Ochoa, E Ozcan, J Woodward Hyper-heuristics: an emerging direction in modern search technology, 457-474, 2003 | 80 | 2003 |
The scalability of evolved on line bin packing heuristics EK Burke, MR Hyde, G Kendall, J Woodward 2007 IEEE Congress on Evolutionary Computation, 2530-2537, 2007 | 69 | 2007 |
A genetic programming hyper-heuristic for the multidimensional knapsack problem JH Drake, M Hyde, K Ibrahim, E Ozcan Kybernetes 43 (9/10), 1500-1511, 2014 | 68 | 2014 |
The cross-domain heuristic search challenge–an international research competition EK Burke, M Gendreau, M Hyde, G Kendall, B McCollum, G Ochoa, ... Learning and Intelligent Optimization: 5th International Conference, LION 5 …, 2011 | 66 | 2011 |
Hyflex: A flexible framework for the design and analysis of hyper-heuristics EK Burke, T Curtois, M Hyde, G Kendall, G Ochoa, S Petrovic, ... Multidisciplinary International Scheduling Conference (MISTA 2009), Dublin …, 2009 | 53 | 2009 |
International series in operations research and management science L Bianco, M Caramia, S Giordani, V Piccialli Springer, 2013 | 52* | 2013 |
A squeaky wheel optimisation methodology for two-dimensional strip packing EK Burke, MR Hyde, G Kendall Computers & Operations Research 38 (7), 1035-1044, 2011 | 43 | 2011 |