Gabriela Ochoa
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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
A classification of hyper-heuristic approaches
EK Burke, M Hyde, G Kendall, G Ochoa, E Özcan, JR Woodward
Handbook of Metaheuristics, 449-468, 2010
Google Trends in infodemiology and infoveillance: methodology framework
A Mavragani, G Ochoa
JMIR public health and surveillance 5 (2), e13439, 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
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
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
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
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
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
Optimising antibiotic usage to treat bacterial infections
IK Paterson, A Hoyle, G Ochoa, C Baker-Austin, NGH Taylor
Scientific reports 6 (1), 37853, 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, 3-35, 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
On genetic algorithms and Lindenmayer systems
G Ochoa
International Conference on Parallel Problem Solving from Nature, 335-344, 1998
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
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
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
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
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
Error thresholds in genetic algorithms
G Ochoa
Evolutionary computation 14 (2), 157-182, 2006
An integer linear programming approach to the single and bi-objective next release problem
N Veerapen, G Ochoa, M Harman, EK Burke
Information and Software Technology 65, 1-13, 2015
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