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dc.creatorGutiérrez Escudero, Rosa
dc.creatorPérez Jiménez, Mario de Jesús
dc.creatorRius Font, Miquel
dc.date.accessioned2016-03-21T09:44:34Z
dc.date.available2016-03-21T09:44:34Z
dc.date.issued2009
dc.identifier.isbn9788461328369es
dc.identifier.urihttp://hdl.handle.net/11441/38863
dc.description.abstractIn the framework of cell–like membrane systems it is well known that the construction of exponential number of objects in polynomial time is not enough to efficiently solve NP–complete problems. Nonetheless, it may be sufficient to create an exponential number of membranes in polynomial time. In the framework of recognizer polarizationless P systems with active membranes, the construction of an exponential workspace expressed in terms of number of membranes and objects may not suffice to efficiently solve computationally hard problems. In this paper we study the computational efficiency of recognizer tissue P systems with communication (symport/antiport) rules and division rules. Some results have been already obtained in this direction: (a) using communication rules and forbidding division rules, only tractable problems can be efficiently solved; (b) using communication rules with length three and division rules, NP–complete problems can be efficiently solved. In this paper we show that the allowed length of communication rules plays a relevant role from the efficiency point of view of the systems.es
dc.description.sponsorshipMinisterio de Educación y Ciencia TIN2006–13425
dc.description.sponsorshipJunta de Andalucía P08-TIC-04200
dc.formatapplication/pdfes
dc.language.isoenges
dc.publisherFénix Editoraes
dc.relation.ispartofProceedings of the Seventh Brainstorming Week on Membrane Computing, vol.I, 169-180. Sevilla, E.T.S. de Ingeniería Informática, 2-6 de Febrero, 2009es
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titleCharacterizing Tractability by Tissue-Like P Systemses
dc.typeinfo:eu-repo/semantics/conferenceObjectes
dc.type.versioninfo:eu-repo/semantics/publishedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificiales
dc.relation.projectIDTIN2006–13425
dc.relation.projectIDP08-TIC-04200
dc.contributor.groupUniversidad de Sevilla. TIC193: Computación Natural
dc.identifier.idushttps://idus.us.es/xmlui/handle/11441/38863
dc.contributor.funderMinisterio de Educación y Ciencia (MEC). España
dc.contributor.funderJunta de Andalucía

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