Ed Keedwell

Edward Keedwell

	2012
19		Kent McClymont, Ed Keedwell: Deductive Sort and Climbing Sort: New Methods for Non-Dominated Sorting. Evolutionary Computation 20(1): 1-26 (2012)
	2011
18		Kent McClymont, Edward Keedwell: Markov chain hyper-heuristic (MCHH): an online selective hyper-heuristic for multi-objective continuous problems. GECCO 2011: 2003-2010
17		Kent McClymont, Ed Keedwell: Benchmark multi-objective optimisation test problems with mixed encodings. IEEE Congress on Evolutionary Computation 2011: 2131-2138
16		Jonathan Mwaura, Ed Keedwell: Evolving Modularity in Robot Behaviour Using Gene Expression Programming. TAROS 2011: 392-393
15		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)
	2010
14		Ed Keedwell, Ajit Narayanan: Gene expression rule discovery with a multi-objective neural-genetic hybrid. BIBM 2010: 649-656
13		Jonathan Mwaura, Ed Keedwell: Evolution of robotic behaviours using Gene Expression Programming. IEEE Congress on Evolutionary Computation 2010: 1-8
12		Kent McClymont, Ed Keedwell: Optimising multi-modal polynomial mutation operators for multi-objective problem classes. IEEE Congress on Evolutionary Computation 2010: 1-8
	2007
11		Ed Keedwell, Ajit Narayanan: Gene finding and rule discovery with a multi-objective neural-genetic hybrid. GECCO 2007: 428
	2006
10		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
9		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
8		A. Krishna, Ajit Narayanan, Ed Keedwell: Neural Networks and Temporal Gene Expression Data. EvoWorkshops 2005: 64-73
7		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)
6		Ed Keedwell, Ajit Narayanan: Discovering Gene Networks with a Neural-Genetic Hybrid. IEEE/ACM Trans. Comput. Biology Bioinform. 2(3): 231-242 (2005)
	2004
5		Ed Keedwell, Soon-Thiam Khu: Hybrid Genetic Algorithms for Multi-Objective Optimisation of Water Distribution Networks. GECCO (2) 2004: 1042-1053
4		Ajit Narayanan, Ed Keedwell, Jonas Gamalielsson, S. Tatineni: Single-layer artificial neural networks for gene expression analysis. Neurocomputing 61: 217-240 (2004)
	2003
3		Ed Keedwell, Ajit Narayanan: Genetic Algorithms for Gene Expression Analysis. EvoWorkshops 2003: 76-86
	2000
2		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
1		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)

Coauthor Index

1	Florian Bessler	[2]
2	Jacqueline Christmas	[15]
3	David W. Corne (David Corne)	[9]
4	Timothy M. Frayling	[15]
5	Jonas Gamalielsson	[4]
6	Yufeng Guo	[10]
7	Thorhildur Juliusdottir	[9]
8	Soon-Thiam Khu	[5] [7] [10]
9	A. Krishna	[8]
10	Kent McClymont	[12] [17] [18] [19]
11	Jonathan Mwaura	[13] [16]
12	Ajit Narayanan	[1] [2] [3] [4] [6] [8] [9] [11] [14]
13	John R. B. Perry	[15]
14	Dragan A. Savic	[1] [2]
15	S. Tatineni	[4]
16	Godfrey A. Walters	[10]

Colors in the list of coauthors

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