Ed Keedwell
Ed Keedwell
Professor of Artificial Intelligence, University of Exeter, UK
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Evolutionary algorithms and other metaheuristics in water resources: Current status, research challenges and future directions
HR Maier, Z Kapelan, J Kasprzyk, J Kollat, LS Matott, MC Cunha, ...
Environmental Modelling & Software 62, 271-299, 2014
A weighted cellular automata 2D inundation model for rapid flood analysis
M Guidolin, AS Chen, B Ghimire, EC Keedwell, S Djordjević, DA Savić
Environmental Modelling & Software 84, 378-394, 2016
A hybrid genetic algorithm for the design of water distribution networks
E Keedwell, ST Khu
Engineering Applications of Artificial Intelligence 18 (4), 461-472, 2005
Battle of the water networks II
A Marchi, E Salomons, A Ostfeld, Z Kapelan, AR Simpson, AC Zecchin, ...
Journal of water resources planning and management 140 (7), 04014009, 2014
Formulation of a fast 2D urban pluvial flood model using a cellular automata approach
B Ghimire, AS Chen, M Guidolin, EC Keedwell, S Djordjević, DA Savić
Journal of Hydroinformatics 15 (3), 676-686, 2013
Intelligent bioinformatics: The application of artificial intelligence techniques to bioinformatics problems
E Keedwell, A Narayanan
John Wiley & Sons, 2005
Deductive sort and climbing sort: New methods for non-dominated sorting
K McClymont, E Keedwell
Evolutionary Computation 20 (1), 1-26, 2012
Discovering gene networks with a neural-genetic hybrid
E Keedwell, A Narayanan
IEEE/ACM Transactions on Computational Biology and Bioinformatics 2 (3), 231-242, 2005
Artificial intelligence techniques for bioinformatics
A Narayanan, EC Keedwell, B Olsson
Applied bioinformatics 1, 191-222, 2002
Novel cellular automata approach to optimal water distribution network design
E Keedwell, ST Khu
Journal of Computing in Civil Engineering 20 (1), 49-56, 2006
Evolutionary computation for wind farm layout optimization
D Wilson, S Rodrigues, C Segura, I Loshchilov, F Hutter, GL Buenfil, ...
Renewable energy 126, 681-691, 2018
Markov chain hyper-heuristic (MCHH) an online selective hyper-heuristic for multi-objective continuous problems
K McClymont, EC Keedwell
Proceedings of the 13th annual conference on Genetic and evolutionary …, 2011
A novel cellular automata based approach to storm sewer design
Y Guo, GA Walters, ST Khu, E Keedwell
Engineering Optimization 39 (3), 345-364, 2007
A sequence-based selection hyper-heuristic utilising a hidden Markov model
A Kheiri, E Keedwell
Proceedings of the 2015 annual conference on genetic and evolutionary …, 2015
Single-layer artificial neural networks for gene expression analysis
A Narayanan, EC Keedwell, J Gamalielsson, S Tatineni
Neurocomputing 61, 217-240, 2004
Heterogenous adaptive ant colony optimization with 3-opt local search for the travelling salesman problem
AF Tuani, E Keedwell, M Collett
Applied Soft Computing 97, 106720, 2020
A hidden markov model approach to the problem of heuristic selection in hyper-heuristics with a case study in high school timetabling problems
A Kheiri, E Keedwell
Evolutionary computation 25 (3), 473-501, 2017
A novel evolutionary meta-heuristic for the multi-objective optimization of real-world water distribution networks
E Keedwell, ST Khu
Engineering Optimization 38 (03), 319-333, 2006
Ant colony optimisation to identify genetic variant association with type 2 diabetes
J Christmas, E Keedwell, TM Frayling, JRB Perry
Information Sciences 181 (9), 1609-1622, 2011
Genetic algorithms for gene expression analysis
E Keedwell, A Narayanan
Applications of Evolutionary Computing, 191-192, 2003
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