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dc.contributor.author
Olivera, Ana Carolina

dc.contributor.author
Frutos, Mariano

dc.contributor.author
Carballido, Jessica Andrea

dc.contributor.other
Yang, Xin She
dc.contributor.other
Gandomi, Amir Hossein
dc.contributor.other
Talatahari, Siamak
dc.contributor.other
Alavi, Amir Hossein
dc.date.available
2022-10-20T16:00:23Z
dc.date.issued
2013
dc.identifier.citation
Olivera, Ana Carolina; Frutos, Mariano; Carballido, Jessica Andrea; An Improved Hybrid Algorithm for Stochastic Bus-Network Design; Elsevier Inc; 2013; 417-437
dc.identifier.isbn
978-0-12-398296-4
dc.identifier.uri
http://hdl.handle.net/11336/174206
dc.description.abstract
The purpose of this work is to present the Elastic Hybrid Algorithm: a method that deals in a realistic manner with the Bus-Network Design Problem. The novel technique integrates a Floyd-Warshall initialization method, a Multi-Objective Evolutionary Algorithm based on the Strength Pareto Evolutionary Algorithm 2, and a simulation procedure. The Floyd-Warshall procedure initializes the distances and routes between each pair of bus stops. The Evolutionary stage obtains several quasi-optimal bus networks, with the help of a simulation procedure that calculates the values of the environmentally-dependent dynamic variables associated to the user. The method was successfully tested with a real case study and its relevance was assessed after it was compared with other authors´ works. As a conclusion subsequent to several experimental stages, it can be confirmed that the Elastic Hybrid Algorithm achieves highly competitive results in comparison to those from the literature, whilst obtaining solutions that exhibit a strong closeness to various real features of the problem under study.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Elsevier Inc

dc.rights
info:eu-repo/semantics/restrictedAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
HYBRID ALGORITHM
dc.subject
BUS NETWORK DESIGN
dc.subject
COMBINATORIAL OPTIMIZATION
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
An Improved Hybrid Algorithm for Stochastic Bus-Network Design
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
2022-04-26T18:42:25Z
dc.journal.pagination
417-437
dc.journal.pais
Reino Unido

dc.journal.ciudad
Londres
dc.description.fil
Fil: Olivera, Ana Carolina. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la Computación; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.description.fil
Fil: Frutos, Mariano. Universidad Nacional del Sur. Departamento de Ingeniería; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.description.fil
Fil: Carballido, Jessica Andrea. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la Computación; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca; Argentina
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/B9780123982964000180
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/B978-0-12-398296-4.00018-0
dc.conicet.paginas
496
dc.source.titulo
Metaheuristics in Water, Geotechnical and Transport Engineering
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