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Genetic Algorithm for Scheduling Optimization Considering Heterogeneous Containers: A Real-World Case Study
dc.contributor.author | Rivera Zarate, Gilberto | |
dc.date.accessioned | 2020-11-19T18:10:43Z | |
dc.date.available | 2020-11-19T18:10:43Z | |
dc.date.issued | 2020-03-04 | es_MX |
dc.identifier.uri | http://cathi.uacj.mx/20.500.11961/15165 | |
dc.description.abstract | 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. | es_MX |
dc.description.uri | https://www.mdpi.com/2075-1680/9/1/27 | es_MX |
dc.language.iso | en | es_MX |
dc.relation.ispartof | Producto de investigación IIT | es_MX |
dc.relation.ispartof | Instituto de Ingeniería y Tecnología | es_MX |
dc.rights | Atribución-NoComercial-SinDerivadas 2.5 México | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/2.5/mx/ | * |
dc.subject | surgery scheduling problem | es_MX |
dc.subject | Metaheuristic Optimization | es_MX |
dc.subject | Genetic algorithm | es_MX |
dc.subject.other | info:eu-repo/classification/cti/1 | es_MX |
dc.title | Genetic Algorithm for Scheduling Optimization Considering Heterogeneous Containers: A Real-World Case Study | es_MX |
dc.type | Artículo | es_MX |
dcterms.thumbnail | http://ri.uacj.mx/vufind/thumbnails/rupiiit.png | es_MX |
dcrupi.instituto | Instituto de Ingeniería y Tecnología | es_MX |
dcrupi.cosechable | Si | es_MX |
dcrupi.norevista | 1 | es_MX |
dcrupi.volumen | 9 | es_MX |
dcrupi.nopagina | 1-16 | es_MX |
dc.identifier.doi | doi.org/10.3390/axioms9010027 | es_MX |
dc.contributor.coauthor | Sánchez Solís, Julia Patricia | |
dc.contributor.coauthor | Rodas Osollo, Jorge Enrique | |
dc.journal.title | Axioms | es_MX |
dc.lgac | OPTIMIZACIÓN INTELIGENTE | es_MX |
dc.cuerpoacademico | Inteligencia Artificial Aplicada | es_MX |
dc.contributor.coauthorexterno | Rangel-Valdez, Nelson | |
dc.contributor.coauthorexterno | Cisneros, Luis |