InforLorV4, Hal, Checkpoint, bibRecord, 000C67

A Metric for Evolving 2-D Cellular Automata As Pseudo-Random Number Generators

Identifieur interne : 000C67 ( Hal/Checkpoint ); précédent : 000C66; suivant : 000C68

A Metric for Evolving 2-D Cellular Automata As Pseudo-Random Number Generators

Auteurs : Nikolaos Vlassopoulos [Grèce] ; Bernard Girau [France]

Source :

Journal of Cellular Automata [ 1557-5969 ] ; 2014.

RBID : Hal:hal-01071871

Abstract

In this paper we study the problem of evolving 2-dimensional Cellular Automata (CA) as Pseudo-random Number Generators (PRNG). First, we introduce a composite fitness metric that incorporates elements from PRNG tests, and which is more suitable for evolving CA. Second, we apply and verify this composite metric on two different use-cases: First, to evolve Additive CA as PRNGs using Genetic Algorithms and second, to evolve Totalistic CA as PRNGs using a Markov Chain Monte-Carlo approach.

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https://hal.inria.fr/hal-01071871

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A Metric for Evolving 2-D Cellular Automata As Pseudo-Random Number Generators

A Metric for Evolving 2-D Cellular Automata As Pseudo-Random Number Generators

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