Membrane Systems Working with the PFactor: Best Strategy to Solve Complex Problems.

Mingo López, Luis Fernando de ORCID: https://orcid.org/0000-0002-9249-6722, Gómez, Nuria and Arteta, Alberto (2013). Membrane Systems Working with the PFactor: Best Strategy to Solve Complex Problems.. "Advanced Science Letters", v. 19 (n. 5); pp. 1490-1494. ISSN 1936-6612. https://doi.org/10.1166/asl.2013.4453.

Descripción

Título: Membrane Systems Working with the PFactor: Best Strategy to Solve Complex Problems.
Autor/es:
Tipo de Documento: Artículo
Título de Revista/Publicación: Advanced Science Letters
Fecha: Mayo 2013
ISSN: 1936-6612
Volumen: 19
Número: 5
Materias:
ODS:
Palabras Clave Informales: P-systems, membrane computing, natural Computing, evolution rules application, P-factor.
Escuela: E.U. de Informática (UPM) [antigua denominación]
Departamento: Organización y Estructura de la Información [hasta 2014]
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

A membrane system is a massive parallel system, which is inspired by the living cells when processing information. As a part of unconventional computing, membrane systems are proven to be effective in solving complex problems. A new factor is introduced. This factor can decide whether a technique is worthwhile being used or not. The use of this factor provides the best chances for selecting the strategy for the rules application phase. Referring to the “best” is in reference to the one that reduces execution time within the membrane system. A pre-analysis of the membrane system determines the P-factor, which in return advises the optimal strategy to use. In particular, this paper compares the use of two strategies based on the P-factor and provides results upon the application of them. The paper concludes that the P-factor is an effective indicator for choosing the right strategy to implement the rules application phase in membrane systems.

Más información

ID de Registro: 28979
Identificador DC: https://oa.upm.es/28979/
Identificador OAI: oai:oa.upm.es:28979
URL Portal Científico: https://portalcientifico.upm.es/es/ipublic/item/5621634
Identificador DOI: 10.1166/asl.2013.4453
URL Oficial: http://www.aspbs.com/science.htm
Depositado por: Memoria Investigacion
Depositado el: 01 Jul 2014 12:37
Ultima Modificación: 12 Nov 2025 00:00