Evolving Multilayer Neural Networks Using Permutation free Encoding Technique
نویسندگان
چکیده
In this paper we present an evolutionary system using genetic algorithm (GA) for evolving artificial neural networks (ANNs). Existing genetic algorithms for evolving ANNs suffer from the permutation problem as a result of recombination. Here we propose a novel encoding scheme for representing ANNs which avoids the permutation problem while efficiently evolving multilayer ANN architectures. The evolutionary system has been implemented and tested on a number of benchmark problems in machine learning and neural networks. Experimental results suggest that the system shows superiority in performance, in most of the cases.
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