Mostrar el registro sencillo del ítem
Ponencia
A new simulation algorithm for multienvironment probabilistic P systems
dc.creator | Martínez del Amor, Miguel Ángel | es |
dc.creator | Pérez Hurtado de Mendoza, Ignacio | es |
dc.creator | Pérez Jiménez, Mario de Jesús | es |
dc.creator | Riscos Núñez, Agustín | es |
dc.creator | Colomer, M. Angels | es |
dc.date.accessioned | 2018-01-30T09:00:50Z | |
dc.date.available | 2018-01-30T09:00:50Z | |
dc.date.issued | 2010 | |
dc.identifier.citation | Martínez del Amor, M.Á., Pérez Hurtado, I., Pérez Jiménez, M.d.J., Riscos Núñez, A. y Colomer, M.A. (2010). A new simulation algorithm for multienvironment probabilistic P systems. En BICTA 2010 : IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications (59-68), Changsha, China: IEEE Computer Society. | |
dc.identifier.isbn | 978-1-4244-6437-1 | es |
dc.identifier.uri | https://hdl.handle.net/11441/69711 | |
dc.description.abstract | Multienvironment P systems are the base of a general framework for modeling ecosystems dynamics. On one hand, this modeling framework represents the structural and dynamical aspects of real ecosystems in a discrete, modular and compressive way. On the other hand, the inherent randomness and uncertainty of biological systems are captured by using probabilistic strategies. Nowadays, the simulation of these P systems based models is fundamental for experimentation and validation. In this paper, we introduce a new simulation algorithm, called DNDP, which performs object distribution and maximal consistency in the application of rules, that are crucial aspects of these systems. The paper also depicts a parallel implementation of the algorithm, and a comparison with the existing algorithm in PLinguaCore is provided. In order to test the performance of the presented algorithm, several experiments (simulations) have been carried out over four simple P systems with the same skeleton and different number of environments. | es |
dc.description.sponsorship | Ministerio de Ciencia e Innovación TIN2009–13192 | es |
dc.description.sponsorship | Junta de Andalucía P08–TIC-04200 | es |
dc.format | application/pdf | es |
dc.language.iso | eng | es |
dc.publisher | IEEE Computer Society | es |
dc.relation.ispartof | BICTA 2010 : IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications (2010), p 59-68 | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.title | A new simulation algorithm for multienvironment probabilistic P systems | es |
dc.type | info:eu-repo/semantics/conferenceObject | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/submittedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificial | es |
dc.relation.projectID | TIN2009–13192 | es |
dc.relation.projectID | P08–TIC-04200 | es |
dc.relation.publisherversion | http://ieeexplore.ieee.org/document/5645352/?arnumber=5645352&sortType%3Dasc_p_Sequence%26filter%3DAND(p_IS_Number:5645057) | es |
dc.identifier.doi | 10.1109/BICTA.2010.5645352 | es |
dc.contributor.group | Universidad de Sevilla. TIC193: Computación Natural | es |
idus.format.extent | 10 | es |
dc.publication.initialPage | 59 | es |
dc.publication.endPage | 68 | es |
dc.eventtitle | BICTA 2010 : IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications | es |
dc.eventinstitution | Changsha, China | es |
dc.relation.publicationplace | New York, USA | es |
dc.contributor.funder | Ministerio de Ciencia e Innovación (MICIN). España | |
dc.contributor.funder | Junta de Andalucía |