Edward Keedwell
List of publications from the DBLP Bibliography Server - FAQ
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 | 2012 | |
|---|---|---|
| j6 |      | Kent McClymont, Ed Keedwell: Deductive Sort and Climbing Sort: New Methods for Non-Dominated Sorting. Evolutionary Computation 20(1): 1-26 (2012) |
| c16 | | Ed Keedwell, Mark Morley, Darren Croft: Continuous Trait-Based Particle Swarm Optimisation (CTB-PSO). ANTS 2012: 342-343 |
| c15 |  | Emmanuel Sapin, Ed Keedwell: T-ACO Tournament Ant Colony Optimisation for High-dimensional Problems. IJCCI 2012: 81-86 |
| 2011 | ||
| j5 | | Jacqueline Christmas, Edward Keedwell, Timothy M. Frayling, John R. B. Perry: Ant colony optimisation to identify genetic variant association with type 2 diabetes. Inf. Sci. 181(9): 1609-1622 (2011) |
| c14 | | Kent McClymont, Ed Keedwell: Benchmark multi-objective optimisation test problems with mixed encodings. IEEE Congress on Evolutionary Computation 2011: 2131-2138 |
| c13 | | Kent McClymont, Edward Keedwell: Markov chain hyper-heuristic (MCHH): an online selective hyper-heuristic for multi-objective continuous problems. GECCO 2011: 2003-2010 |
| c12 | | Jonathan Mwaura, Ed Keedwell: Evolving Modularity in Robot Behaviour Using Gene Expression Programming. TAROS 2011: 392-393 |
| 2010 | ||
| c11 | | Ed Keedwell, Ajit Narayanan: Gene expression rule discovery with a multi-objective neural-genetic hybrid. BIBM 2010: 649-656 |
| c10 | | Kent McClymont, Ed Keedwell: Optimising multi-modal polynomial mutation operators for multi-objective problem classes. IEEE Congress on Evolutionary Computation 2010: 1-8 |
| c9 | | Jonathan Mwaura, Ed Keedwell: Evolution of robotic behaviours using Gene Expression Programming. IEEE Congress on Evolutionary Computation 2010: 1-8 |
| 2007 | ||
| c8 | | Ed Keedwell, Ajit Narayanan: Gene finding and rule discovery with a multi-objective neural-genetic hybrid. GECCO 2007: 428 |
| 2006 | ||
| c7 | | Yufeng Guo, Ed Keedwell, Godfrey A. Walters, Soon-Thiam Khu: Hybridizing Cellular Automata Principles and NSGAII for Multi-objective Design of Urban Water Networks. EMO 2006: 546-559 |
| 2005 | ||
| j4 | | Edward Keedwell, Soon-Thiam Khu: A hybrid genetic algorithm for the design of water distribution networks. Eng. Appl. of AI 18(4): 461-472 (2005) |
| j3 | | Ed Keedwell, Ajit Narayanan: Discovering Gene Networks with a Neural-Genetic Hybrid. IEEE/ACM Trans. Comput. Biology Bioinform. 2(3): 231-242 (2005) |
| c6 | | Thorhildur Juliusdottir, David Corne, Ed Keedwell, Ajit Narayanan: Two-Phase EA/k-NN for Feature Selection and Classification in Cancer Microarray Datasets. CIBCB 2005: 1-8 |
| c5 | | A. Krishna, Ajit Narayanan, Ed Keedwell: Neural Networks and Temporal Gene Expression Data. EvoWorkshops 2005: 64-73 |
| 2004 | ||
| j2 | | Ajit Narayanan, Ed Keedwell, Jonas Gamalielsson, S. Tatineni: Single-layer artificial neural networks for gene expression analysis. Neurocomputing 61: 217-240 (2004) |
| c4 | | Ajit Narayanan, Evangelia Nana, Ed Keedwell: Analyzing gene expression data for childhood medulloblastoma survival with artificial neural networks. CIBCB 2004: 9-16 |
| c3 | | Ed Keedwell, Soon-Thiam Khu: Hybrid Genetic Algorithms for Multi-Objective Optimisation of Water Distribution Networks. GECCO (2) 2004: 1042-1053 |
| 2003 | ||
| c2 | | Ed Keedwell, Ajit Narayanan: Genetic Algorithms for Gene Expression Analysis. EvoWorkshops 2003: 76-86 |
| 2000 | ||
| j1 | | Ed Keedwell, Ajit Narayanan, Dragan A. Savic: Creating rules from trained networks using genetic algorithms. Int. J. Comput. Syst. Signal 1(1): 30-42 (2000) |
| c1 | | Ed Keedwell, Florian Bessler, Ajit Narayanan, Dragan A. Savic: From data mining to rule refining A new tool for post data mining rule optimisation. ICTAI 2000: 82-85 |
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