Mostrar el registro sencillo del ítem
dc.contributor.author
Baquela, Enrique Gabriel

dc.contributor.author
Olivera, Ana Carolina

dc.contributor.other
Amodeo, Lionel
dc.date.available
2020-10-29T14:17:18Z
dc.date.issued
2017
dc.identifier.citation
Baquela, Enrique Gabriel; Olivera, Ana Carolina; A Multi Objective Optimization via Simulation framework for restructuring traffic networks subject to increases in population; Springer; 2017; 199-218
dc.identifier.isbn
978-3-319-58253-5
dc.identifier.uri
http://hdl.handle.net/11336/117127
dc.description.abstract
Traffic network design is a complex problem due to its nonlinear and stochastic nature. The Origin-Destiny Traffic Assignment Problem is particular case of this problem. In it, we are faced with an increase in the system vehicle population; and, we want to determine where to set the generating nodes and the traffic consumers, minimizing the current system and trying to reduce necessary investment. Performing optimizations in an analytical way in this kind of problems tends to be really complicated and a bit impractical, since it is difficult to estimate vehicle flows. In this chapter, we propose the use of a Multi-Objective Particle Swamp Optimization together with Traffic Simulations in order to generate restructuring alternatives that optimize both, traffic flow and cost associated to this restructure. This approach allows to obtain a very good approximation of the Pareto Frontier of the problem, with a fast convergence to the low infrastructure cost solutions and a total coverage of the frontier when the number of iterations is high.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Springer

dc.rights
info:eu-repo/semantics/restrictedAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Traffic Network
dc.subject
Optimization
dc.subject
Metaheuristics
dc.subject.classification
Otras Ciencias de la Computación e Información

dc.subject.classification
Ciencias de la Computación e Información

dc.subject.classification
CIENCIAS NATURALES Y EXACTAS

dc.title
A Multi Objective Optimization via Simulation framework for restructuring traffic networks subject to increases in population
dc.type
info:eu-repo/semantics/publishedVersion
dc.type
info:eu-repo/semantics/bookPart
dc.type
info:ar-repo/semantics/parte de libro
dc.date.updated
2020-10-20T18:12:38Z
dc.journal.pagination
199-218
dc.journal.pais
Alemania

dc.description.fil
Fil: Baquela, Enrique Gabriel. Universidad Tecnológica Nacional. Facultad Regional San Nicolás; Argentina
dc.description.fil
Fil: Olivera, Ana Carolina. Universidad Nacional de la Patagonia Austral. Unidad Académica Caleta Olivia. Departamento de Ciencias Exactas y Naturales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://www.springer.com/gp/book/9783319582528#aboutBook
dc.conicet.paginas
390
dc.source.titulo
Recent Developments in Metaheuristics
Archivos asociados