dc.creator | Zhang, Gexiang | es |
dc.creator | Rong, Haina | es |
dc.creator | Ou, Zhu | es |
dc.creator | Pérez Jiménez, Mario de Jesús | es |
dc.creator | Gheorghe, Marian | es |
dc.date.accessioned | 2021-04-28T09:30:30Z | |
dc.date.available | 2021-04-28T09:30:30Z | |
dc.date.issued | 2014 | |
dc.identifier.citation | Zhang, G., Rong, H., Ou, Z., Pérez Jiménez, M.d.J. y Gheorghe, M. (2014). Automatic Design of Deterministic and Non-Halting Membrane Systems by Tuning Syntactical Ingredients. IEEE Transactions on NanoBioscience, 13 (3), 363-371. | |
dc.identifier.issn | 1536-1241 | es |
dc.identifier.uri | https://hdl.handle.net/11441/108018 | |
dc.description.abstract | To solve the programmability issue of membrane
computing models, the automatic design of membrane systems is
a newly initiated and promising research direction. In this paper,
we propose an automatic design method, Permutation Penalty
Genetic Algorithm (PPGA), for a deterministic and non-halting
membrane system by tuning membrane structures, initial objects
and evolution rules. The main ideas of PPGA are the introduction
of the permutation encoding technique for a membrane system,
a penalty function evaluation approach for a candidate membrane
system and a genetic algorithm for evolving a population
of membrane systems toward a successful one fulfilling a given
computational task. Experimental results show that PPGA can
successfully accomplish the automatic design of a cell-like membrane
system for computing the square of ( is a natural
number) and can find the minimal membrane systems with respect
to their membrane structures, alphabet, initial objects, and
evolution rules for fulfilling the given task. We also provide the
guidelines on how to set the parameters of PPGA. | es |
dc.format | application/pdf | es |
dc.format.extent | 9 | es |
dc.language.iso | eng | es |
dc.publisher | IEEE Computer Society | es |
dc.relation.ispartof | IEEE Transactions on NanoBioscience, 13 (3), 363-371. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Automatic design | es |
dc.subject | Cell-like membrane systems | es |
dc.subject | Genetic algorithm | es |
dc.subject | Membrane Computing | es |
dc.subject | Penalty function evaluation approach | es |
dc.subject | Permutation encoding technique | es |
dc.title | Automatic Design of Deterministic and Non-Halting Membrane Systems by Tuning Syntactical Ingredients | es |
dc.type | info:eu-repo/semantics/article | 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.publisherversion | https://ieeexplore.ieee.org/document/6868270 | es |
dc.identifier.doi | 10.1109/TNB.2014.2341618 | es |
dc.contributor.group | Universidad de Sevilla. TIC193: Computación Natural | es |
dc.journaltitle | IEEE Transactions on NanoBioscience | es |
dc.publication.volumen | 13 | es |
dc.publication.issue | 3 | es |
dc.publication.initialPage | 363 | es |
dc.publication.endPage | 371 | es |
dc.identifier.sisius | 20739860 | es |