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dc.contributor.author
Baquela, Enrique Gabriel
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dc.contributor.author
Olivera, Ana Carolina
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dc.date.available
2023-11-10T14:19:45Z
dc.date.issued
2022-11
dc.identifier.citation
Baquela, Enrique Gabriel; Olivera, Ana Carolina; Hybridization of NSGA-II and MILP for optimization of the location of electric-scooters sharing-stations; Institute of Electrical and Electronics Engineers; IEEE Latin America Transactions; 20; 11; 11-2022; 2381-2387
dc.identifier.issn
1548-0992
dc.identifier.uri
http://hdl.handle.net/11336/217755
dc.description.abstract
A crucial aspect of the proper functioning of bikes and electric scooters’ sharing systems is the correct location and dimensioning of the sharing stations. The resolution of the previous problem is carried out based on the maximization of coverage or the minimization of costs, but the two objectives are not usually treated at the same time. In this work, we propose a method based on the hybridization of the popular Elitist Non-Dominated Sorting Genetic Algorithm(NSGA- II) with a Mixed-Integer Linear Programming (MILP)model to approximate the Pareto Frontier of the problem. This allows the decision-maker a greater understanding of the range of possible options. The NSGA-II plays the role of an outer block that deals with the selection and sizing of each of sharing stations. The MILP model is an inner block that calculates the associated coverage of that solution. The schema was compared with an adaptative-weighting algorithm, reaching the hybridization of NSGA-II and MILP a better coverage of the Pareto Frontier.
dc.format
application/pdf
dc.language.iso
spa
dc.publisher
Institute of Electrical and Electronics Engineers
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dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
MULTI-OBJECTIVE
dc.subject
MIXED-INTEGER LINEAR PROGRAMMING
dc.subject
META-HEURISTICS
dc.subject
MATH-HEURISTICS
dc.subject
E-SCOOTERS
dc.subject
BIKE-SHARING
dc.subject
SUSTAINABLE TRANSPORTATION
dc.subject.classification
Otras Ciencias de la Computación e Información
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dc.subject.classification
Ciencias de la Computación e Información
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dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
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dc.title
Hybridization of NSGA-II and MILP for optimization of the location of electric-scooters sharing-stations
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2023-11-09T14:53:03Z
dc.journal.volume
20
dc.journal.number
11
dc.journal.pagination
2381-2387
dc.journal.pais
Estados Unidos
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dc.journal.ciudad
New York
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 Cuyo. Instituto para las Tecnologías de la Informacion y las Comunicaciones; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza; Argentina
dc.journal.title
IEEE Latin America Transactions
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dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://latamt.ieeer9.org/index.php/transactions/article/view/6825
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