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John A. Bullinaria :
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John A. Bullinaria Evolving neural networks: Is it really worth the effort? [Citation Graph (0, 0)][DBLP ] ESANN, 2005, pp:267-272 [Conf ] John A. Bullinaria , Patricia M. Riddell Regularization in oculomotor control. [Citation Graph (0, 0)][DBLP ] ESANN, 2000, pp:207-212 [Conf ] John A. Bullinaria , Patricia M. Riddell , Simon K. Rushton Regularization in oculomotor adaptation. [Citation Graph (0, 0)][DBLP ] ESANN, 1999, pp:159-164 [Conf ] John A. Bullinaria The Evolution Of Variable Learning Rates. [Citation Graph (0, 0)][DBLP ] GECCO, 2002, pp:52-59 [Conf ] John A. Bullinaria Evolved Age Dependent Plasticity Improves Neural Network Performance. [Citation Graph (0, 0)][DBLP ] HIS, 2005, pp:79-86 [Conf ] 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 ] 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 ] 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 ] 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 ] 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 ] 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 ] John A. Bullinaria The effect of learning on life history evolution. [Citation Graph (0, 0)][DBLP ] GECCO, 2007, pp:222-229 [Conf ] 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 ] 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 ] Bi-objective Optimization for the Vehicle Routing Problem with Time Windows: Using Route Similarity to Enhance Performance. [Citation Graph (, )][DBLP ] Neural network ensembles for time series forecasting. [Citation Graph (, )][DBLP ] Comparison of similarity measures for the multi-objective vehicle routing problem with time windows. [Citation Graph (, )][DBLP ] Ensemble Techniques for Avoiding Poor Performance in Evolved Neural Networks. [Citation Graph (, )][DBLP ] Optimizing Delivery Time in Multi-Objective Vehicle Routing Problems with Time Windows. [Citation Graph (, )][DBLP ] Implicit alternative splicing for genetic algorithms. [Citation Graph (, )][DBLP ] Evolved Dual Weight Neural Architectures to Facilitate Incremental Learning. [Citation Graph (, )][DBLP ] Lifetime Learning as a Factor in Life History Evolution. [Citation Graph (, )][DBLP ] An improved multi-objective evolutionary algorithm for the vehicle routing problem with time windows. [Citation Graph (, )][DBLP ] Search in 0.004secs, Finished in 0.005secs