Mostrar el registro sencillo del ítem
dc.contributor.author
Tomassetti, Giordano
dc.contributor.author
Cagnina, Leticia Cecilia
dc.date.available
2016-09-05T20:34:53Z
dc.date.issued
2013-02
dc.identifier.citation
Tomassetti, Giordano; Cagnina, Leticia Cecilia; Particle Swarm Algorithms to solve engineering problems: a comparison of performance; Hindawi Publishing Corporation; Journal of Engineering; 2013; 2-2013; 1-13
dc.identifier.issn
2314-4912
dc.identifier.uri
http://hdl.handle.net/11336/7464
dc.description.abstract
In many disciplines, the use of evolutionary algorithms to perform optimizations is limited because of the extensive number of objective evaluations required. In fact, in real-world problems, each objective evaluation is frequently obtained by time-expensive numerical calculations. On the other hand, gradient-based algorithms are able to identify optima with a reduced number of objective evaluations, but they have limited exploration capabilities of the search domain and some restrictions when dealing with noncontinuous functions. In this paper, two PSO-based algorithms are compared to evaluate their pros and cons with respect to the effort required to find acceptable solutions. The algorithms implement two different methodologies to solve widely used engineering benchmark problems. Comparison is made both in terms of fixed iterations tests to judge the solution quality reached and fixed threshold to evaluate how quickly each algorithm reaches near-optimal solutions. The results indicate that one PSO algorithm achieves better solutions than the other one in fixed iterations tests, and the latter achieves acceptable results in less-function evaluations with respect to the first PSO in the case of fixed threshold tests.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Hindawi Publishing Corporation
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by/2.5/ar/
dc.subject
Optimization
dc.subject
Particle Swarm Optimization
dc.subject
Engineering Problems
dc.subject.classification
Ciencias de la Computación
dc.subject.classification
Ciencias de la Computación e Información
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
dc.title
Particle Swarm Algorithms to solve engineering problems: a comparison of performance
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2016-08-04T17:21:35Z
dc.journal.volume
2013
dc.journal.pagination
1-13
dc.journal.pais
Estados Unidos
dc.journal.ciudad
Nueva York
dc.description.fil
Fil: Tomassetti, Giordano. Centro Ricerche Frascati; Italia
dc.description.fil
Fil: Cagnina, Leticia Cecilia. Universidad Nacional de San Luis. Facultad de Ciencias Físico Matemáticas y Naturales. Departamento de Informática. Laboratorio Investigación y Desarrollo en Inteligencia Computacional; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico San Luis; Argentina
dc.journal.title
Journal of Engineering
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.hindawi.com/journals/je/2013/435104/
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1155/2013/435104
Archivos asociados