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A Cellular Genetic Programming Approach to Classification

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Proceedings of the Genetic and Evolutionary Computation Conference, 2, стр. 1015--1020. Orlando, Florida, USA, Morgan Kaufmann, (13-17 July 1999)

Аннотация

A cellular genetic programming approach to data classification is proposed. The method uses cellular automata as a framework to enable a fine-grained parallel implementation of GP through the diffusion model. The main advantages to employ the method for classification problems consist in handling large populations in reasonable times, enabling fast convergence by reducing the number of iterations and execution time, favouring the cooperation in the search for good solutions, thus improving the accuracy of the method.

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