Larry Bull

	2012
138		Gerard David Howard, Larry Bull, Andrew Adamatzky: Cartesian Genetic Programming for Memristive Logic Circuits. EuroGP 2012: 37-48
137		Larry Bull: A Simple Computational Cell: Coupling Boolean Gene and Protein Networks. Artificial Life 18(2): 223-236 (2012)
136		Gerard David Howard, Larry Bull, Pier Luca Lanzi: A Spiking Neural Learning Classifier System CoRR abs/1201.3249: (2012)
135		Larry Bull: On Natural Genetic Engineering: Structural Dynamism in Random Boolean Networks CoRR abs/1201.3545: (2012)
134		Larry Bull: Production System Rules as Protein Complexes from Genetic Regulatory Networks CoRR abs/1201.4737: (2012)
133		Richard Preen, Larry Bull: Discrete and Fuzzy Dynamical Genetic Programming in the XCSF Learning Classifier System CoRR abs/1201.5604: (2012)
132		Richard Preen, Larry Bull: Evolution of Supershapes for the Generation of Three-Dimensional Designs CoRR abs/1204.4107: (2012)
131		Richard Preen, Larry Bull: Discrete Dynamical Genetic Programming in XCS CoRR abs/1204.4200: (2012)
130		Richard Preen, Larry Bull: Fuzzy Dynamical Genetic Programming in XCSF CoRR abs/1204.4202: (2012)
129		Larry Bull: Using genetical and cultural search to design unorganised machines. Evolutionary Intelligence 5(1): 23-33 (2012)
	2011
128		Gerard David Howard, Ella Gale, Larry Bull, Benjamin de Lacy Costello, Andrew Adamatzky: Evolving spiking networks with variable memristors. GECCO 2011: 1275-1282
127		Richard Preen, Larry Bull: Fuzzy dynamical genetic programming in XCSF. GECCO (Companion) 2011: 167-168
126		Larry Bull: Towards a Mapping of Modern AIS and LCS. ICARIS 2011: 371-382
125		Richard Preen, Larry Bull: Arithmetic dynamical genetic programming in the XCSF Learning Classifier System. IEEE Congress on Evolutionary Computation 2011: 1428-1435
124		Andrew Adamatzky, Ben de Lacy Costello, Julian Holley, Jerzy Gorecki, Larry Bull: Vesicle computers: Approximating Voronoi diagram on Voronoi automata CoRR abs/1104.1707: (2011)
123		Andrew Adamatzky, Ben de Lacy Costello, Larry Bull: On Polymorphic Logical Gates in Subexcitable Chemical Medium. I. J. Bifurcation and Chaos 21(7): 1977-1986 (2011)
	2010
122		Larry Bull: Imitation Programming. ICES 2010: 360-371
121		Gerard David Howard, Larry Bull, Pier Luca Lanzi: A spiking neural representation for XCSF. IEEE Congress on Evolutionary Computation 2010: 1-8
120		Larry Bull: Artificial Symbiogenesis and Differing Reproduction Rates. Artificial Life 16(1): 65-72 (2010)
119		Andrew Adamatzky, Ben de Lacy Costello, Larry Bull: On polymorphic logical gates in sub-excitable chemical medium CoRR abs/1007.0034: (2010)
118		Ramón Alonso-Sanz, Larry Bull: One-Dimensional Coupled Cellular Automata with Memory: Initial Investigations. J. Cellular Automata 5(1-2): 29-49 (2010)
117		Emmanuel Sapin, Andrew Adamatzky, Pierre Collet, Larry Bull: Stochastic automated search methods in cellular automata: the discovery of tens of thousands of glider guns. Natural Computing 9(3): 513-543 (2010)
	2009
116		Larry Bull, Richard Preen: On Dynamical Genetic Programming: Random Boolean Networks in Learning Classifier Systems. EuroGP 2009: 37-48
115		Gerard David Howard, Larry Bull, Pier Luca Lanzi: Towards continuous actions in continuous space and time using self-adaptive constructivism in neural XCSF. GECCO 2009: 1219-1226
114		Richard Preen, Larry Bull: Discrete dynamical genetic programming in XCS. GECCO 2009: 1299-1306
113		Gerard David Howard, Larry Bull, Pier Luca Lanzi: Use of a Connection-Selection Scheme in Neural XCSF. IWLCS 2009: 87-106
112		Christopher Stone, Larry Bull: Evolution of cellular automata with memory: The Density Classification Task. Biosystems 97(2): 108-116 (2009)
111		Andy Adamatzky, Larry Bull: Are complex systems hard to evolve? Complexity 14(6): 15-20 (2009)
110		Eduardo R. Miranda, Larry Bull, François Gueguen, Ivan S. Uroukov: Computer Music Meets Unconventional Computing: Towards Sound Synthesis with In Vitro Neuronal Networks. Computer Music Journal 33(1): 9-18 (2009)
109		Ramón Alonso-Sanz, Larry Bull: On Minimally Coupled Boolean Networks. I. J. Bifurcation and Chaos 19(4): 1401-1414 (2009)
108		Emmanuel Sapin, Larry Bull, Andrew Adamatzky: Genetic approaches to search for computing patterns in cellular automata. IEEE Comp. Int. Mag. 4(3): 20-28 (2009)
107		Rita Toth, Christopher Stone, Ben de Lacy Costello, Andrew Adamatzky, Larry Bull: Simple Collision-Based Chemical Logic Gates with Adaptive Computing. IJNMC 1(3): 1-16 (2009)
106		Larry Bull: On dynamical genetic programming: simple Boolean networks in learning classifier systems. IJPEDS 24(5): 421-442 (2009)
105		Larry Bull, Pier Luca Lanzi: Introduction to the special issue on learning classifier systems. Natural Computing 8(1): 1-2 (2009)
	2008
104		Larry Bull, Ester Bernadó-Mansilla, John H. Holmes: Learning Classifier Systems in Data Mining Springer 2008
103		Larry Bull, Ramón Alonso-Sanz: On coupling random Boolean networks. Automata 2008: 292-305
102		Ramón Alonso-Sanz, Larry Bull: Elementary coupled cellular automata with memory. Automata 2008: 72-99
101		Gerard David Howard, Larry Bull, Pier Luca Lanzi: Self-adaptive constructivism in Neural XCS and XCSF. GECCO 2008: 1389-1396
100		Gerard David Howard, Larry Bull: On the effects of node duplication and connection-oriented constructivism in neural XCSF. GECCO (Companion) 2008: 1977-1984
99		Christopher Stone, Rita Toth, Ben de Lacy Costello, Larry Bull, Andrew Adamatzky: Coevolving Cellular Automata with Memory for Chemical Computing: Boolean Logic Gates in the BZ Reaction. PPSN 2008: 579-588
98		Larry Bull, Ester Bernadó-Mansilla, John H. Holmes: Learning Classifier Systems in Data Mining: An Introduction. Learning Classifier Systems in Data Mining 2008: 1-15
97		Christopher Stone, Larry Bull: Foreign Exchange Trading Using a Learning Classifier System. Learning Classifier Systems in Data Mining 2008: 169-189
96		Kreangsak Tamee, Larry Bull, Ouen Pinngern: Towards Clustering with Learning Classifier Systems. Learning Classifier Systems in Data Mining 2008: 191-204
95		Faten Kharbat, Mohammed Odeh, Larry Bull: Knowledge Discovery from Medical Data: An Empirical Study with XCS. Learning Classifier Systems in Data Mining 2008: 93-121
94		Larry Bull, Adam Budd, Christopher Stone, Ivan S. Uroukov, Ben de Lacy Costello, Andrew Adamatzky: Towards Unconventional Computing through Simulated Evolution: Control of Nonlinear Media by a Learning Classifier System. Artificial Life 14(2): 203-222 (2008)
93		Uwe Aickelin, Larry Bull: Partnering Strategies for Fitness Evaluation in a Pyramidal Evolutionary Algorithm CoRR abs/0801.3550: (2008)
92		Andrew Adamatzky, Larry Bull: Are complex systems hard to evolve? CoRR abs/0802.3875: (2008)
91		Uwe Aickelin, Larry Bull: On the Application of Hierarchical Coevolutionary Genetic Algorithms: Recombination and Evaluation Partners CoRR abs/0803.2966: (2008)
90		Larry Bull: Dedication: Dr. Lawrence J. Fogel (1928-2007). Evolutionary Intelligence 1(1): 1 (2008)
89		Larry Bull: Foreword. Evolutionary Intelligence 1(1): 3-4 (2008)
88		Ramón Alonso-Sanz, Larry Bull: Boolean Networks with Memory. I. J. Bifurcation and Chaos 18(12): 3799-3814 (2008)
87		Adam Budd, Christopher Stone, Jonathan Masere, Andrew Adamatzky, Ben de Lacy Costello, Larry Bull: Initial Results from the Use of Evolutionary Learning to Control Chemical Computers. IJUC 4(1): 13-22 (2008)
86		Larry Bull, Ivan S. Uroukov: Towards Neuronal Computing: Simple Creation of Two Logic Functions in 3D Cell Cultures using Multi-Electrode Arrays. IJUC 4(2): 143-154 (2008)
	2007
85		Emmanuel Sapin, Larry Bull: Searching for Glider Guns in Cellular Automata: Exploring Evolutionary and Other Techniques. Artificial Evolution 2007: 255-265
84		Matthew Smith, Larry Bull: Improving the human readability of features constructed by genetic programming. GECCO 2007: 1694-1701
83		Kreangsak Tamee, Larry Bull, Ouen Pinngern: Towards clustering with XCS. GECCO 2007: 1854-1860
82		Faten Kharbat, Larry Bull, Mohammed Odeh: Mining breast cancer data with XCS. GECCO 2007: 2066-2073
81		Larry Bull, Ivan S. Uroukov: Initial results from the use of learning classifier systems to control in vitro neuronal networks. GECCO 2007: 369-376
80		Christopher Stone, Rita Toth, Andrew Adamatzky, Ben de Lacy Costello, Larry Bull: Towards the coevolution of cellular automata controllers for chemical computing with the B-Z reaction. GECCO 2007: 472-478
79		Larry Bull: On lookahead and latent learning in simple LCS. GECCO (Companion) 2007: 2633-2636
78		Tim Kovacs, Larry Bull: Toward a better understanding of rule initialisation and deletion. GECCO (Companion) 2007: 2777-2780
77		Larry Bull, Toby O'Hara, Pier Luca Lanzi: Anticipation mappings for learning classifier systems. IEEE Congress on Evolutionary Computation 2007: 2133-2140
76		Emmanuel Sapin, Larry Bull, Andrew Adamatzky: A Genetic approach to search for glider guns in cellular automata. IEEE Congress on Evolutionary Computation 2007: 2456-2462
75		Larry Bull: On Lookahead and Latent Learning in Simple LCS. IWLCS 2007: 154-168
74		Matthew Studley, Larry Bull: Using the XCS Classifier System for Multi-objective Reinforcement Learning Problems. Artificial Life 13(1): 69-86 (2007)
73		Andrew Adamatzky, Larry Bull, Pierre Collet, Emmanuel Sapin: Evolving localizations in reaction-diffusion cellular automata CoRR abs/0712.0836: (2007)
72		Jorge Casillas, Brian Carse, Larry Bull: Fuzzy-XCS: A Michigan Genetic Fuzzy System. IEEE T. Fuzzy Systems 15(4): 536-550 (2007)
71		Larry Bull, Matthew Studley, Anthony J. Bagnall, Ian Whittley: Learning Classifier System Ensembles With Rule-Sharing. IEEE Trans. Evolutionary Computation 11(4): 496-502 (2007)
70		Anthony J. Bagnall, Gavin C. Cawley, Ian Whittley, Larry Bull, Matthew Studley, Mike Pettipher, Firat Tekiner: Super Computer Heterogeneous Classifier Meta-Ensembles. IJDWM 3(2): 67-82 (2007)
69		Faten Kharbat, Mohammed Odeh, Larry Bull: New approach for extracting knowledge from the XCS learning classifier system. Int. J. Hybrid Intell. Syst. 4(2): 49-62 (2007)
68		Larry Bull, Andrew Adamatzky: A Learning Classifier System Approach to the Identification of Cellular Automata. J. Cellular Automata 2(1): 21-38 (2007)
67		Kreangsak Tamee, Larry Bull, Ouen Pinngern: YCSc: A Modified Clustering Technique Based On LCS. JDIM 5(3): 160-166 (2007)
	2006
66		Anthony J. Bagnall, Ian Whittley, Gareth J. Janacek, Kate Kemsley, Matthew Studley, Larry Bull: A Comparison of DWT/PAA and DFT for Time Series Classification. DMIN 2006: 403-409
65		Anthony J. Bagnall, Ian Whittley, Matthew Studley, Mike Pettipher, Firat Tekiner, Larry Bull: Variance Stabilizing Regression Ensembles for Environmental Models. IJCNN 2006: 5355-5361
64		Kreangsak Tamee, Larry Bull, Ouen Pinngern: A Learning Classifier System Approach to Clustering. ISDA (1) 2006: 621-626
63		Jacob Hurst, Larry Bull: A Neural Learning Classifier System with Self-Adaptive Constructivism for Mobile Robot Control. Artificial Life 12(3): 353-380 (2006)
	2005
62		Larry Bull, I. Lawson, Andrew Adamatzky, Ben de Lacy Costello: Towards predicting spatial complexity: a learning classifier system approach to the identification of cellular automata. Congress on Evolutionary Computation 2005: 136-141
61		Toby O'Hara, Larry Bull: A memetic accuracy-based neural learning classifier system. Congress on Evolutionary Computation 2005: 2040-2045
60		Toby O'Hara, Larry Bull: Building anticipations in an accuracy-based learning classifier system by use of an artificial neural network. Congress on Evolutionary Computation 2005: 2046-2052
59		Faten Kharbat, Larry Bull, Mohammed Odeh: Revisiting genetic selection in the XCS learning classifier system. Congress on Evolutionary Computation 2005: 2061-2068
58		Matthew Studley, Larry Bull: X-TCS: accuracy-based learning classifier system robotics. Congress on Evolutionary Computation 2005: 2099-2106
57		Larry Bull: Coevolutionary species adaptation genetic algorithms: growth and mutation on coupled fitness landscapes. Congress on Evolutionary Computation 2005: 559-564
56		Larry Bull, Matthew Studley, Anthony J. Bagnall, Ian Whittley: On the use of rule-sharing in learning classifier system ensembles. Congress on Evolutionary Computation 2005: 612-617
55		Larry Bull: Coevolutionary Species Adaptation Genetic Algorithms: A Continuing SAGA on Coupled Fitness Landscapes. ECAL 2005: 322-331
54		Toby O'Hara, Larry Bull: Backpropagation in Accuracy-Based Neural Learning Classifier Systems. IWLCS 2005: 25-39
53		David Wyatt, Larry Bull, Ian C. Parmee: Using XCS to Describe Continuous-Valued Problem Spaces. IWLCS 2005: 308-332
52		Matthew G. Smith, Larry Bull: Genetic Programming with a Genetic Algorithm for Feature Construction and Selection. Genetic Programming and Evolvable Machines 6(3): 265-281 (2005)
	2004
51		Larry Bull: A Simple Payoff-Based Learning Classifier System. PPSN 2004: 1032-1041
50		Larry Bull: Lookahead and Latent Learning in a Simple Accuracy-Based Classifier System. PPSN 2004: 1042-1050
49		Matthew G. Smith, Larry Bull: Using Genetic Programming for Feature Creation with a Genetic Algorithm Feature Selector. PPSN 2004: 1163-1171
48		Jacob Hurst, Larry Bull: A Self-adaptive Neural Learning Classifier System with Constructivism for Mobile Robot Control. PPSN 2004: 942-951
	2003
47		Matthew G. Smith, Larry Bull: Feature Construction and Selection Using Genetic Programming and a Genetic Algorithm. EuroGP 2003: 229-237
46		Christopher Stone, Larry Bull: Towards Learning Classifier Systems for Continuous-Valued Online Environments. GECCO 2003: 1924-1925
45		Christopher Stone, Larry Bull: For Real! XCS with Continuous-Valued Inputs. Evolutionary Computation 11(3): 298-336 (2003)
	2002
44		William B. Langdon, Erick Cantú-Paz, Keith E. Mathias, Rajkumar Roy, David Davis, Riccardo Poli, Karthik Balakrishnan, Vasant Honavar, Günter Rudolph, Joachim Wegener, Larry Bull, Mitchell A. Potter, Alan C. Schultz, Julian F. Miller, Edmund K. Burke, Natasa Jonoska: GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, New York, USA, 9-13 July 2002 Morgan Kaufmann 2002
43		Uwe Aickelin, Larry Bull: Partnering Strategies For Fitness Evaluation In A Pyramidal Evolutionary Algorithm. GECCO 2002: 263-270
42		Larry Bull: Lookahead And Latent Learning In ZCS. GECCO 2002: 897-904
41		Larry Bull, Toby O'Hara: Accuracy-based Neuro And Neuro-fuzzy Classifier Systems. GECCO 2002: 905-911
40		Larry Bull, David Wyatt, Ian C. Parmee: Towards The Use Of XCS In Interactive Evolutionary Design. GECCO 2002: 951
39		Larry Bull, Matthew Studley: Consideration of Multiple Objectives in Neural Learning Classifier Systems. PPSN 2002: 549-557
38		Larry Bull: On Using Constructivism in Neural Classifier Systems. PPSN 2002: 558-567
37		Larry Bull, David Wyatt, Ian C. Parmee: Initial Modifications to XCS for Use in Interactive Evolutionary Design. PPSN 2002: 568-577
36		Jacob Hurst, Larry Bull, Chris Melhuish: TCS Learning Classifier System Controller on a Real Robot. PPSN 2002: 588-600
35		Larry Bull, Jacob Hurst: ZCS Redux. Evolutionary Computation 10(2): 185-205 (2002)
34		Larry Bull, Pier Luca Lanzi, Wolfgang Stolzmann: Learning Classifier Systems. Soft Comput. 6(3-4): 143 (2002)
33		Larry Bull: On accuracy-based fitness. Soft Comput. 6(3-4): 154-161 (2002)
32		Andy Tomlinson, Larry Bull: An accuracy based corporate classifier system. Soft Comput. 6(3-4): 200-215 (2002)
	2001
31		Jacob Hurst, Larry Bull: A Self-Adaptive XCS. IWLCS 2001: 57-73
30		Andy Tomlinson, Larry Bull: Symbiogenesis in Learning Classifier Systems. Artificial Life 7(1): 33-61 (2001)
29		Manu Ahluwalia, Larry Bull: Coevolving functions in genetic programming. Journal of Systems Architecture 47(7): 573-585 (2001)
28		Larry Bull: On coevolutionary genetic algorithms. Soft Comput. 5(3): 201-207 (2001)
	2000
27		Y. J. Cao, N. Ireson, Larry Bull, R. Miles: Distributed Learning Control of Traffic Signals. EvoWorkshops 2000: 117-126
26		N. Ireson, Y. J. Cao, Larry Bull, R. Miles: A Communication Architecture for Multi-agent Learning Systems. EvoWorkshops 2000: 255-266
25		Larry Bull, Jacob Hurst: Self-Adaptive Mutation in ZCS Controllers. EvoWorkshops 2000: 339-346
24		Larry Bull: Simple Markov Models of the Genetic Algorithm in Classifier Systems: Accuracy-Based Fitness. IWLCS 2000: 21-28
23		Larry Bull: Simple Markov Models of the Genetic Algorithm in Classifier Systems: Multi-step Tasks. IWLCS 2000: 29-36
22		Jacob Hurst, Larry Bull: A Self-Adaptive Classifier System. IWLCS 2000: 70-79
21		Larry Bull, Owen Holland, Susan Blackmore: On Meme-Gene Coevolution. Artificial Life 6(3): 227-235 (2000)
	1999
20		Y. J. Cao, N. Ireson, Larry Bull, R. Miles: Design of a Traffic Junction Controller Using Classifier Systems and Fuzzy Logic. Fuzzy Days 1999: 342-353
19		Manu Ahluwalia, Larry Bull: A Genetic Programming-based Classifier System. GECCO 1999: 11-18
18		Larry Bull: On using ZCS in a Simulated Continuous Double-Auction Market. GECCO 1999: 83-90
17		Manu Ahluwalia, Larry Bull: Coevolving Functions in Genetic Programming: Classification using K-nearest-neighbour. GECCO 1999: 947-952
16		Andy Tomlinson, Larry Bull: A Corporate XCS. Learning Classifier Systems 1999: 195-208
15		Larry Bull: On the Evolution of Multicellularity and Eusociality. Artificial Life 5(1): 1-15 (1999)
14		Larry Bull: On the Baldwin Effect. Artificial Life 5(3): 241-246 (1999)
13		Larry Bull: On Evolving Social Systems: Communication, Speciation and Symbiogenesis. Computational & Mathematical Organization Theory 5(3): 281-302 (1999)
12		Larry Bull: On Model-Based Evolutionary Computation. Soft Comput. 3(2): 76-82 (1999)
	1998
11		Larry Bull: Evolutionary Computing in Multi-agent Environments: Operators. Evolutionary Programming 1998: 43-52
10		Manu Ahluwalia, Larry Bull: Co-evolving Functions in Genetic Programming: Dynamic ADF Creation Using GLiB. Evolutionary Programming 1998: 809-818
9		Larry Bull: On ZCS in Multi-agent Environments. PPSN 1998: 471-480
8		Andy Tomlinson, Larry Bull: A Corporate Classifier System. PPSN 1998: 550-559
	1997
7		Larry Bull: Evolutionary Computation in Multi-Agent Environments: Partners. ICGA 1997: 370-377
	1996
6		Larry Bull, Terence C. Fogarty: Evolutionary Computing in Multi-Agent Environments: Specification and Symbiogenesis. PPSN 1996: 12-21
	1995
5		Larry Bull, Terence C. Fogarty, Anthony G. Pipe: Artificial Endosymbiosis. ECAL 1995: 273-289
4		Larry Bull, Terence C. Fogarty, M. Snaith: Evolution in Multi-agent Systems: Evolving Communicating Classifier Systems for Gait in a Quadrupedal Robot. ICGA 1995: 382-388
3		Larry Bull, Terence C. Fogarty: Artificial Symbiogenesis. Artificial Life 2(3): 269-292 (1995)
	1994
2		Larry Bull, Terence C. Fogarty: An Evolution Strategy and Genetic Algorithm Hybrid: An Initial Implementation and First Results. Evolutionary Computing, AISB Workshop 1994: 95-102
1		Larry Bull, Terence C. Fogarty: Parallel Evolution of Communicating Classifier Systems. International Conference on Evolutionary Computation 1994: 680-685

Coauthor Index

1	Andrew Adamatzky (Andy Adamatzky)	[62] [68] [73] [76] [80] [87] [92] [94] [99] [107] [108] [111] [117] [119] [123] [124] [128] [138]
2	Manu Ahluwalia	[10] [17] [19] [29]
3	Uwe Aickelin	[43] [91] [93]
4	Ramón Alonso-Sanz	[88] [102] [103] [109] [118]
5	Anthony J. Bagnall	[56] [65] [66] [70] [71]
6	Karthik Balakrishnan	[44]
7	Ester Bernadó-Mansilla (Ester Bernadó i Mansilla)	[98] [104]
8	Susan Blackmore	[21]
9	Adam Budd	[87] [94]
10	Edmund K. Burke	[44]
11	Erick Cantú-Paz	[44]
12	Y. J. Cao	[20] [26] [27]
13	Brian Carse	[72]
14	Jorge Casillas	[72]
15	Gavin C. Cawley	[70]
16	Pierre Collet	[73] [117]
17	Ben de Lacy Costello (Benjamin de Lacy Costello)	[62] [80] [87] [94] [99] [107] [119] [123] [124] [128]
18	David Davis	[44]
19	Terence C. Fogarty	[1] [2] [3] [4] [5] [6]
20	Ella Gale	[128]
21	Jerzy Gorecki	[124]
22	François Gueguen	[110]
23	Owen Holland	[21]
24	Julian Holley	[124]
25	John H. Holmes	[98] [104]
26	Vasant Honavar	[44]
27	Gerard David Howard	[100] [101] [113] [115] [121] [128] [136] [138]
28	Jacob Hurst	[22] [25] [31] [35] [36] [48] [63]
29	N. Ireson	[20] [26] [27]
30	Gareth J. Janacek	[66]
31	Natasa Jonoska (Natasha Jonoska)	[44]
32	Kate Kemsley	[66]
33	Faten Kharbat	[59] [69] [82] [95]
34	Tim Kovacs	[78]
35	William B. Langdon	[44]
36	Pier Luca Lanzi	[34] [77] [101] [105] [113] [115] [121] [136]
37	I. Lawson	[62]
38	Jonathan Masere	[87]
39	Keith E. Mathias	[44]
40	Chris Melhuish	[36]
41	R. Miles	[20] [26] [27]
42	Julian Francis Miller (Julian F. Miller)	[44]
43	Eduardo R. Miranda	[110]
44	Toby O'Hara	[41] [54] [60] [61] [77]
45	Mohammed Odeh	[59] [69] [82] [95]
46	Ian C. Parmee	[37] [40] [53]
47	Mike Pettipher	[65] [70]
48	Ouen Pinngern	[64] [67] [83] [96]
49	Anthony G. Pipe	[5]
50	Riccardo Poli	[44]
51	Mitchell A. Potter	[44]
52	Richard Preen	[114] [116] [125] [127] [130] [131] [132] [133]
53	Rajkumar Roy	[44]
54	Günter Rudolph	[44]
55	Emmanuel Sapin	[73] [76] [85] [108] [117]
56	Alan C. Schultz	[44]
57	Matthew Smith	[84]
58	Matthew G. Smith	[47] [49] [52]
59	M. Snaith	[4]
60	Wolfgang Stolzmann	[34]
61	Christopher Stone	[45] [46] [80] [87] [94] [97] [99] [107] [112]
62	Matthew Studley	[39] [56] [58] [65] [66] [70] [71] [74]
63	Kreangsak Tamee	[64] [67] [83] [96]
64	Firat Tekiner	[65] [70]
65	Andy Tomlinson	[8] [16] [30] [32]
66	Rita Toth	[80] [99] [107]
67	Ivan S. Uroukov	[81] [86] [94] [110]
68	Joachim Wegener	[44]
69	Ian Whittley	[56] [65] [66] [70] [71]
70	David Wyatt	[37] [40] [53]

Colors in the list of coauthors

Last update Sun May 27 04:04:01 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page