Abstract
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.
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CITATION STYLE
Bertoni, A., Campadelli, P., Carpentieri, M., & Grossi, G. (1996). A genetic model and the Hopfield networks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1112 LNCS, pp. 463–468). Springer Verlag. https://doi.org/10.1007/3-540-61510-5_80
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