dc.creator | Pérez Hurtado de Mendoza, Ignacio | es |
dc.creator | Pérez Jiménez, Mario de Jesús | es |
dc.creator | Zhang, Gexiang | es |
dc.creator | Orellana Martín, David | es |
dc.date.accessioned | 2020-03-23T10:53:59Z | |
dc.date.available | 2020-03-23T10:53:59Z | |
dc.date.issued | 2018 | |
dc.identifier.citation | Pérez Hurtado de Mendoza, I., Pérez Jiménez, M.d.J., Zhang, G. y Orellana Martín, D. (2018). Simulation of Rapidly-Exploring Random Trees in Membrane Computing with P-Lingua and Automatic Programming. International Journal of Computers Communications and Control, 13 (6), 1007-1031. | |
dc.identifier.issn | 1841-9836 | es |
dc.identifier.uri | https://hdl.handle.net/11441/94429 | |
dc.description.abstract | Methods based on Rapidly-exploring Random Trees (RRTs) have been
widely used in robotics to solve motion planning problems. On the other hand, in the
membrane computing framework, models based on Enzymatic Numerical P systems
(ENPS) have been applied to robot controllers, but today there is a lack of planning
algorithms based on membrane computing for robotics. With this motivation, we
provide a variant of ENPS called Random Enzymatic Numerical P systems with
Proteins and Shared Memory (RENPSM) addressed to implement RRT algorithms
and we illustrate it by simulating the bidirectional RRT algorithm. This paper is an
extension of [21]a. The software presented in [21] was an ad-hoc simulator, i.e, a tool
for simulating computations of one and only one model that has been hard-coded.
The main contribution of this paper with respect to [21] is the introduction of a novel
solution for membrane computing simulators based on automatic programming. First,
we have extended the P-Lingua syntax –a language to define membrane computing
models– to write RENPSM models. Second, we have implemented a new parser based
on Flex and Bison to read RENPSM models and produce source code in C language
for multicore processors with OpenMP. Finally, additional experiments are presented. | es |
dc.description.sponsorship | Ministerio de Economía, Industria y Competitividad TIN2017-89842-P | es |
dc.format | application/pdf | es |
dc.format.extent | 25 | es |
dc.language.iso | eng | es |
dc.publisher | Agora University of Oradea | es |
dc.relation.ispartof | International Journal of Computers Communications and Control, 13 (6), 1007-1031. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.title | Simulation of Rapidly-Exploring Random Trees in Membrane Computing with P-Lingua and Automatic Programming | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | 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 | TIN2017-89842-P | es |
dc.relation.publisherversion | http://univagora.ro/jour/index.php/ijccc/article/view/3370/pdf | es |
dc.contributor.group | Universidad de Sevilla. TIC193: Computación Natural | es |
dc.journaltitle | International Journal of Computers Communications and Control | es |
dc.publication.volumen | 13 | es |
dc.publication.issue | 6 | es |
dc.publication.initialPage | 1007 | es |
dc.publication.endPage | 1031 | es |
dc.contributor.funder | Ministerio de Economia, Industria y Competitividad (MINECO). España | es |