Operating Room Scheduling by Using Hybrid Genetic Algorithm

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dc.contributor.authorBiroğul, Serdar
dc.contributor.authorTimuçin, Tunahan
dc.date.accessioned2023-07-26T11:59:05Z
dc.date.available2023-07-26T11:59:05Z
dc.date.issued2022
dc.departmentDÜ, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.description.abstractHospitals are among the most important institutions of today. For hospitals, efficient use of operating rooms is of great importance. Efficient use of operating rooms is a problem that needs to be solved. The operating room scheduling problem is a very complex problem with large number of constraints. This type of problem called as NP-Hard type problem. NP-Hard type problems do not consist of polynomial values. Therefore, the solution of these problems is very complex and difficult. Solutions consisting of polynomial values can be solved effectively with existing mathematical methods. However, more effective algorithms were needed to solve NP-hard type problems. As a result of the studies, many heuristic, meta-heuristic algorithms such as Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Taboo Search Algorithm have been developed to solve the complexity of NP-Hard problems. In this article, the operating room scheduling problem solved with a hybrid genetic algorithm. In this solution, it shows how the algorithm affects the solution area in the changes in the number of surgeons, operating rooms and operating room reservations, which are among the operating room parameters. In the developed software, C# programming language has been preferred in order to provide comfortable use of the end user.en_US
dc.identifier.doi10.29130/dubited.946453
dc.identifier.endpage274en_US
dc.identifier.issn2148-2446
dc.identifier.issue1en_US
dc.identifier.startpage255en_US
dc.identifier.trdizinid1123724en_US
dc.identifier.urihttp://doi.org/10.29130/dubited.946453
dc.identifier.urihttps://search.trdizin.gov.tr/yayin/detay/1123724
dc.identifier.urihttps://hdl.handle.net/20.500.12684/13633
dc.identifier.volume10en_US
dc.indekslendigikaynakTR-Dizinen_US
dc.institutionauthorBiroğul, Serdar
dc.institutionauthorTimuçin, Tunahan
dc.language.isoenen_US
dc.relation.ispartofDüzce Üniversitesi Bilim ve Teknoloji Dergisien_US
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.snmz$2023V1Guncelleme$en_US
dc.subjectOperating room schedulingen_US
dc.subjectGenetic algorithmen_US
dc.subjectRepair operatoren_US
dc.subjectConstrained optimization Ameliyat odası çizelgelemeen_US
dc.subjectGenetik algoritmaen_US
dc.subjectTamir operatörüen_US
dc.subjectKısıtlı optimizasyonen_US
dc.titleOperating Room Scheduling by Using Hybrid Genetic Algorithmen_US
dc.typeArticleen_US

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