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Augmenting Topologies (NEAT) that is designed to take advantage of structure as a way of minimizing the dimen- sionality of the search space of connection weights.

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Efcient Evolution of Neural Network Topologies

nn.cs.utexas.edu

Efcient Evolution of Neural Network Topologies Kenneth O. Stanley and Risto Miikkulainen Department of Computer Sciences The University of Texas at Austin

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The MIT Press Journals - University of Texas at Austin

nn.cs.utexas.edu

cations or growth rules through cell division. Indirect encoding allows a more compact representation than direct encoding, because every connection and node are not speci-fied in the genome, although they can be derived from it. 2.1.1 Binary Encoding Direct encodings usually require simpler implementations than indirect encodings.

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