John A. Bullinaria

	2011
30		Victor M. Landassuri-Moreno, John A. Bullinaria: Biasing the evolution of modular neural networks. IEEE Congress on Evolutionary Computation 2011: 1958-1965
29		John A. Bullinaria: Text to phoneme alignment and mapping for speech technology: A neural networks approach. IJCNN 2011: 625-632
28		Abel Garcia-Najera, John A. Bullinaria: An improved multi-objective evolutionary algorithm for the vehicle routing problem with time windows. Computers & OR 38(1): 287-300 (2011)
	2010
27		Abel Garcia-Najera, John A. Bullinaria: Optimizing Delivery Time in Multi-Objective Vehicle Routing Problems with Time Windows. PPSN (2) 2010: 51-60
26		Philipp Rohlfshagen, John A. Bullinaria: Nature inspired genetic algorithms for hard packing problems. Annals OR 179(1): 393-419 (2010)
	2009
25		Abel Garcia-Najera, John A. Bullinaria: Bi-objective Optimization for the Vehicle Routing Problem with Time Windows: Using Route Similarity to Enhance Performance. EMO 2009: 275-289
24		Victor M. Landassuri-Moreno, John A. Bullinaria: Neural network ensembles for time series forecasting. GECCO 2009: 1235-1242
23		Abel Garcia-Najera, John A. Bullinaria: Comparison of similarity measures for the multi-objective vehicle routing problem with time windows. GECCO 2009: 579-586
22		John A. Bullinaria: Evolved Dual Weight Neural Architectures to Facilitate Incremental Learning. IJCCI 2009: 427-434
21		John A. Bullinaria: Lifetime Learning as a Factor in Life History Evolution. Artificial Life 15(4): 389-409 (2009)
	2008
20		Philipp Rohlfshagen, John A. Bullinaria: Identification and Exploitation of Linkage by Means of Alternative Splicing. Linkage in Evolutionary Computation 2008: 189-223
	2007
19		Philipp Rohlfshagen, John A. Bullinaria: ExGA II: an improved exonic genetic algorithm for the multiple knapsack problem. GECCO 2007: 1357-1364
18		Philipp Rohlfshagen, John A. Bullinaria: A genetic algorithm with exon shuffling crossover for hard bin packing problems. GECCO 2007: 1365-1371
17		John A. Bullinaria: The effect of learning on life history evolution. GECCO 2007: 222-229
16		Philipp Rohlfshagen, John A. Bullinaria: Implicit alternative splicing for genetic algorithms. IEEE Congress on Evolutionary Computation 2007: 47-54
15		John A. Bullinaria: Understanding the Emergence of Modularity in Neural Systems. Cognitive Science 31(4): 673-695 (2007)
14		John A. Bullinaria: Using evolution to improve neural network learning: pitfalls and solutions. Neural Computing and Applications 16(3): 209-226 (2007)
	2006
13		John A. Bullinaria: Ensemble Techniques for Avoiding Poor Performance in Evolved Neural Networks. IJCNN 2006: 4803-4810
	2005
12		Tebogo Seipone, John A. Bullinaria: Evolving improved incremental learning schemes for neural network systems. Congress on Evolutionary Computation 2005: 2002-2009
11		John A. Bullinaria: Evolving neural networks: Is it really worth the effort? ESANN 2005: 267-272
10		John A. Bullinaria: Evolved Age Dependent Plasticity Improves Neural Network Performance. HIS 2005: 79-86
	2004
9		Xin Yao, Edmund K. Burke, José Antonio Lozano, Jim Smith, Juan J. Merelo Guervós, John A. Bullinaria, Jonathan E. Rowe, Peter Tiño, Ata Kabán, Hans-Paul Schwefel: Parallel Problem Solving from Nature - PPSN VIII, 8th International Conference, Birmingham, UK, September 18-22, 2004, Proceedings Springer 2004
	2003
8		Jose Sánchez-Velazco, John A. Bullinaria: Sexual Selection with Competitive/Co-operative Operators for Genetic Algorithms. Neural Networks and Computational Intelligence 2003: 191-196
7		John A. Bullinaria: Evolving efficient learning algorithms for binary mappings. Neural Networks 16(5-6): 793-800 (2003)
	2002
6		John A. Bullinaria: The Evolution Of Variable Learning Rates. GECCO 2002: 52-59
	2001
5		John A. Bullinaria, Patricia M. Riddell: Neural Network Control Systems that Learn to Perform Appropriately. Int. J. Neural Syst. 11(1): 79-88 (2001)
	2000
4		John A. Bullinaria, Patricia M. Riddell: Regularization in oculomotor control. ESANN 2000: 207-212
	1999
3		John A. Bullinaria, Patricia M. Riddell, Simon K. Rushton: Regularization in oculomotor adaptation. ESANN 1999: 159-164
	1995
2		John A. Bullinaria: Neural Network Learning from Ambiguous Training Data. Connect. Sci. 7(2): 99-122 (1995)
	1994
1		John A. Bullinaria: Noise reduction by multi-target learning. ESANN 1994

Coauthor Index

1	Edmund K. Burke	[9]
2	Abel Garcia-Najera	[23] [25] [27] [28]
3	Juan Julián Merelo Guervós (Juan J. Merelo Guervós)	[9]
4	Ata Kabán (Ata Kaban)	[9]
5	Victor M. Landassuri-Moreno	[24] [30]
6	José Antonio Lozano (Jose Antonio Lozano)	[9]
7	Patricia M. Riddell	[3] [4] [5]
8	Philipp Rohlfshagen	[16] [18] [19] [20] [26]
9	Jonathan E. Rowe	[9]
10	Simon K. Rushton	[3]
11	Jose Sánchez-Velazco	[8]
12	Hans-Paul Schwefel	[9]
13	Tebogo Seipone	[12]
14	Jim Smith	[9]
15	Peter Tiño (Peter Tino)	[9]
16	Xin Yao	[9]

Colors in the list of coauthors

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