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John A. Bullinaria: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. John A. Bullinaria
    Evolving neural networks: Is it really worth the effort? [Citation Graph (0, 0)][DBLP]
    ESANN, 2005, pp:267-272 [Conf]
  2. John A. Bullinaria, Patricia M. Riddell
    Regularization in oculomotor control. [Citation Graph (0, 0)][DBLP]
    ESANN, 2000, pp:207-212 [Conf]
  3. John A. Bullinaria, Patricia M. Riddell, Simon K. Rushton
    Regularization in oculomotor adaptation. [Citation Graph (0, 0)][DBLP]
    ESANN, 1999, pp:159-164 [Conf]
  4. John A. Bullinaria
    The Evolution Of Variable Learning Rates. [Citation Graph (0, 0)][DBLP]
    GECCO, 2002, pp:52-59 [Conf]
  5. John A. Bullinaria
    Evolved Age Dependent Plasticity Improves Neural Network Performance. [Citation Graph (0, 0)][DBLP]
    HIS, 2005, pp:79-86 [Conf]
  6. Jose Sánchez-Velazco, John A. Bullinaria
    Sexual Selection with Competitive/Co-operative Operators for Genetic Algorithms. [Citation Graph (0, 0)][DBLP]
    Neural Networks and Computational Intelligence, 2003, pp:191-196 [Conf]
  7. John A. Bullinaria
    Neural Network Learning from Ambiguous Training Data. [Citation Graph (0, 0)][DBLP]
    Connect. Sci., 1995, v:7, n:2, pp:99-122 [Journal]
  8. John A. Bullinaria, Patricia M. Riddell
    Neural Network Control Systems that Learn to Perform Appropriately. [Citation Graph (0, 0)][DBLP]
    Int. J. Neural Syst., 2001, v:11, n:1, pp:79-88 [Journal]
  9. John A. Bullinaria
    Evolving efficient learning algorithms for binary mappings. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2003, v:16, n:5-6, pp:793-800 [Journal]
  10. Philipp Rohlfshagen, John A. Bullinaria
    A genetic algorithm with exon shuffling crossover for hard bin packing problems. [Citation Graph (0, 0)][DBLP]
    GECCO, 2007, pp:1365-1371 [Conf]
  11. Philipp Rohlfshagen, John A. Bullinaria
    ExGA II: an improved exonic genetic algorithm for the multiple knapsack problem. [Citation Graph (0, 0)][DBLP]
    GECCO, 2007, pp:1357-1364 [Conf]
  12. John A. Bullinaria
    The effect of learning on life history evolution. [Citation Graph (0, 0)][DBLP]
    GECCO, 2007, pp:222-229 [Conf]
  13. Tebogo Seipone, John A. Bullinaria
    Evolving improved incremental learning schemes for neural network systems. [Citation Graph (0, 0)][DBLP]
    Congress on Evolutionary Computation, 2005, pp:2002-2009 [Conf]
  14. John A. Bullinaria
    Using evolution to improve neural network learning: pitfalls and solutions. [Citation Graph (0, 0)][DBLP]
    Neural Computing and Applications, 2007, v:16, n:3, pp:209-226 [Journal]

  15. Bi-objective Optimization for the Vehicle Routing Problem with Time Windows: Using Route Similarity to Enhance Performance. [Citation Graph (, )][DBLP]


  16. Neural network ensembles for time series forecasting. [Citation Graph (, )][DBLP]


  17. Comparison of similarity measures for the multi-objective vehicle routing problem with time windows. [Citation Graph (, )][DBLP]


  18. Ensemble Techniques for Avoiding Poor Performance in Evolved Neural Networks. [Citation Graph (, )][DBLP]


  19. Optimizing Delivery Time in Multi-Objective Vehicle Routing Problems with Time Windows. [Citation Graph (, )][DBLP]


  20. Implicit alternative splicing for genetic algorithms. [Citation Graph (, )][DBLP]


  21. Evolved Dual Weight Neural Architectures to Facilitate Incremental Learning. [Citation Graph (, )][DBLP]


  22. Lifetime Learning as a Factor in Life History Evolution. [Citation Graph (, )][DBLP]


  23. An improved multi-objective evolutionary algorithm for the vehicle routing problem with time windows. [Citation Graph (, )][DBLP]


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