Gilberto Rivera

Dr. Gilberto Rivera

Universidad Autónoma de Cd. Juárez
orcid

Research Focus & Metrics

Academic Career Length

17Years (2010-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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2 March 2023 in Computers and Electronics in Agriculture
Verified
Journal Article
Closed access
Gilberto RiveraGilberto Rivera
Gilberto Rivera
RPRaúl Porras
Raúl Porras
Rogelio Florencia JuárezRogelio Florencia Juárez
Rogelio Florencia Juárez
JSJulia Patricia Sanchez-Solis
Julia Patricia Sanchez-Solis

1 November 2020 in Expert Systems with Applications
Verified
Journal Article
Closed access
Vicente García JiménezVicente García Jiménez
Vicente García Jiménez
Josep Salvador Sánchez GarretaJosep Salvador Sánchez Garreta
Josep Salvador Sánchez Garreta
AMA.I. Marqués
A.I. Marqués
RFR. Florencia
R. Florencia
Gilberto RiveraGilberto Rivera
Gilberto Rivera

1 September 2015 in Information Sciences
Verified
Journal Article
Closed access
EFEduardo Fernandez
Eduardo Fernandez
CGClaudia Gomez
Claudia Gomez
Gilberto RiveraGilberto Rivera
Gilberto Rivera
LCLaura Cruz-Reyes
Laura Cruz-Reyes

1 July 2014 in Applied Mathematics & Information Sciences
Verified
Journal Article
Closed access
LCLaura Cruz-Reyes
Laura Cruz-Reyes
EFEduardo Fernandez
Eduardo Fernandez
CGClaudia Gomez
Claudia Gomez
Gilberto RiveraGilberto Rivera
Gilberto Rivera
FPFátima Pérez
Fátima Pérez

4 March 2020 in Axioms
Verified
Journal Article
Open access
PDF file
Gilberto RiveraGilberto Rivera
Gilberto Rivera
LSLuis Enrique Cisneros Saucedo
Luis Enrique Cisneros Saucedo
JSJulia Patricia Sanchez-Solis
Julia Patricia Sanchez-Solis
NRNelson Rangel-Valdez
Nelson Rangel-Valdez
JRJorge Rodas-Osollo
Jorge Rodas-Osollo
In this paper, we develop and apply a genetic algorithm to solve surgery scheduling cases in a Mexican Public Hospital. Here, one of the most challenging issues is to process containers with heterogeneous capacity. Many scheduling problems do not share this restriction; because of this reason, we developed and implemented a strategy for the processing of heterogeneous containers in the genetic algorithm. The final product was named “genetic algorithm for scheduling optimization” (GAfSO). The results of GAfSO were tested with real data of a local hospital. Said hospital assigns different operational time to the operating rooms throughout the week. Also, the computational complexity of GAfSO is analyzed. Results show that GAfSO can assign the corresponding capacity to the operating rooms while optimizing their use.

1 February 2022 in Engineering Applications of Artificial Intelligence
Verified
Journal Article
Closed access
Gilberto RiveraGilberto Rivera
Gilberto Rivera
RPRaúl Porras
Raúl Porras
JSJulia Patricia Sanchez-Solis
Julia Patricia Sanchez-Solis
RFRogelio Florencia
Rogelio Florencia
VGVicente García
Vicente García