We employ a genetic algorithm to explore the space of learning algorithms for a single-layer, binary-weight neural network. We find that the directed drift algorithm, proposed recently by Venkatesh, emerges spontaneously from the genetic tournaments as the local and on-line algorithm that performs best in highly diverse environments.
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Fontanari et al. (1991) studied this question.
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