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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