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Co-evolutionary algorithms are a class of adaptive search meta-heuristics inspired from the mechanism of reciprocal benefits between species in nature. The present work proposes a cooperative co-evolutionary algorithm to improve the performance of a radial basis function neural network (RBFNN) when it is applied to recognition of handwritten Arabic digits. This work is in fact a combination of ten...
This paper presents a new hybrid learning algorithm based on cooperative coevolutionary algorithm (Co-CEA) for designing the radial basis function neural network (RBFNN) classifiers with an inductive feature selection. The hidden layer design and the feature selection correspond to two subpopulations. Collaborations among the two subpopulations are formed to obtain complete solutions. Experimental...
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