 | 2009 |
|---|
| 21 |       | 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 |
| 20 | | Victor M. Landassuri-Moreno,
John A. Bullinaria:
Neural network ensembles for time series forecasting.
GECCO 2009: 1235-1242 |
| 19 | | Abel Garcia-Najera,
John A. Bullinaria:
Comparison of similarity measures for the multi-objective vehicle routing problem with time windows.
GECCO 2009: 579-586 |
| 2008 |
|---|
| 18 | | Philipp Rohlfshagen,
John A. Bullinaria:
Identification and Exploitation of Linkage by Means of Alternative Splicing.
Linkage in Evolutionary Computation 2008: 189-223 |
| 2007 |
|---|
| 17 | | Philipp Rohlfshagen,
John A. Bullinaria:
ExGA II: an improved exonic genetic algorithm for the multiple knapsack problem.
GECCO 2007: 1357-1364 |
| 16 | | Philipp Rohlfshagen,
John A. Bullinaria:
A genetic algorithm with exon shuffling crossover for hard bin packing problems.
GECCO 2007: 1365-1371 |
| 15 | | John A. Bullinaria:
The effect of learning on life history evolution.
GECCO 2007: 222-229 |
| 14 | | Philipp Rohlfshagen,
John A. Bullinaria:
Implicit alternative splicing for genetic algorithms.
IEEE Congress on Evolutionary Computation 2007: 47-54 |
| 13 | | John A. Bullinaria:
Using evolution to improve neural network learning: pitfalls and solutions.
Neural Computing and Applications 16(3): 209-226 (2007) |
| 2006 |
|---|
| 12 | | John A. Bullinaria:
Ensemble Techniques for Avoiding Poor Performance in Evolved Neural Networks.
IJCNN 2006: 4803-4810 |
| 2005 |
|---|
| 11 | | Tebogo Seipone,
John A. Bullinaria:
Evolving improved incremental learning schemes for neural network systems.
Congress on Evolutionary Computation 2005: 2002-2009 |
| 10 | | John A. Bullinaria:
Evolving neural networks: Is it really worth the effort?
ESANN 2005: 267-272 |
| 9 | | John A. Bullinaria:
Evolved Age Dependent Plasticity Improves Neural Network Performance.
HIS 2005: 79-86 |
| 2004 |
|---|
| 8 |  | 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 |
|---|
| 7 | | Jose Sánchez-Velazco,
John A. Bullinaria:
Sexual Selection with Competitive/Co-operative Operators for Genetic Algorithms.
Neural Networks and Computational Intelligence 2003: 191-196 |
| 6 | | John A. Bullinaria:
Evolving efficient learning algorithms for binary mappings.
Neural Networks 16(5-6): 793-800 (2003) |
| 2002 |
|---|
| 5 | | John A. Bullinaria:
The Evolution Of Variable Learning Rates.
GECCO 2002: 52-59 |
| 2001 |
|---|
| 4 | | 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 |
|---|
| 3 | | John A. Bullinaria,
Patricia M. Riddell:
Regularization in oculomotor control.
ESANN 2000: 207-212 |
| 1999 |
|---|
| 2 | | John A. Bullinaria,
Patricia M. Riddell,
Simon K. Rushton:
Regularization in oculomotor adaptation.
ESANN 1999: 159-164 |
| 1995 |
|---|
| 1 | | John A. Bullinaria:
Neural Network Learning from Ambiguous Training Data.
Connect. Sci. 7(2): 99-122 (1995) |
