A genetic model and the Hopfield networks
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In this paper a genetic model is presented and the dynamics in the thermodynamic limit is derived. Analogies and differences with neural networks are discussed and attractors of the genetic model are characterized as equilibria points of Hopfield's networks. The neural network and the genetic system are experimentally compared as approximate algorithms for the MAX-CUT problem.
KeywordsHopfield's networks genetic algorithms optimization
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