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On the design of state-of-the-art pseudorandom number generators by means of genetic programming

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dc.affiliation.dptoUC3M. Departamento de Informáticaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Computación Evolutiva y Redes Neuronales (EVANNAI)es
dc.contributor.authorHernández, Julio C.
dc.contributor.authorSeznec, André
dc.contributor.authorIsasi, Pedro
dc.date.accessioned2009-04-20T07:40:36Z
dc.date.available2009-04-20T07:40:36Z
dc.date.issued2004-06
dc.descriptionCongress on Evolutionary Computation. Portland, EEUU, 19-23 June 2004
dc.description.abstractThe design of pseudorandom number generators by means of evolutionary computation is a classical problem. Today, it has been mostly and better accomplished by means of cellular automata and not many proposals, inside or outside this paradigm could claim to be both robust (passing all the statistical tests, including the most demanding ones) and fast, as is the case of the proposal we present here. Furthermore, for obtaining these generators, we use a radical approach, where our fitness function is not at all based in any measure of randomness, as is frequently the case in the literature, but of nonlinearity. Efficiency is assured by using only very efficient operators (both in hardware and software) and by limiting the number of terminals in the genetic programming implementation.
dc.format.mimetypeapplication/pdf
dc.identifier.bibliographicCitationCongress on Evolutionary Computation, 2004 : CEC2004. Vol.2 , p. 1510-1516
dc.identifier.doi10.1109/CEC.2004.1331075
dc.identifier.isbn0-7803-8515-2
dc.identifier.publicationfirstpage1510
dc.identifier.publicationlastpage1516
dc.identifier.publicationtitleCongress on Evolutionary Computation, 2004 : CEC2004
dc.identifier.publicationvolume2
dc.identifier.urihttps://hdl.handle.net/10016/4021
dc.language.isoeng
dc.publisherIEEE
dc.relation.eventdate19-23 June 2004
dc.relation.eventplacePortland (USA)
dc.relation.eventtitleCongress on Evolutionary Computation
dc.relation.publisherversionhttp://dx.doi.org/10.1109/CEC.2004.1331075
dc.rights© IEEE
dc.rights.accessRightsopen access
dc.subject.ecienciaInformática
dc.titleOn the design of state-of-the-art pseudorandom number generators by means of genetic programming
dc.typeconference paper*
dspace.entity.typePublication
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