Effect the Number of Reservations on Implementation of Operating Room Scheduling with Genetic Algorithm

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dc.authoridTIMUCIN, Tunahan/0000-0003-0332-4118
dc.authoridBirogul, Serdar/0000-0003-4966-5970
dc.contributor.authorTimucin, Tunahan
dc.contributor.authorBirogul, Serdar
dc.date.accessioned2021-12-01T18:47:15Z
dc.date.available2021-12-01T18:47:15Z
dc.date.issued2020
dc.department[Belirlenecek]en_US
dc.descriptionInternational Conference on Artificial Intelligence and Applied Mathematics in Engineering (ICAIAME) -- APR 20-22, 2019 -- Antalya, TURKEYen_US
dc.description.abstractIn this paper, the problem of the most efficient use of the Operating Rooms (ORs) which one of the most important departments of hospitals, was tackled. Efficient use of operating rooms is a scheduling problem with many constraints. This type of problem is defined as NP-Hard. Complex problems involving multiple constraints are defined as NP-Hard type problems. As the NP-Hard type problem does not consist of polynomial values, the solution of such problems becomes complicated. Such problems cannot be solved by classical mathematical methods. For the solution of NP-Hard type problems which have high level of complexity and many constraints, heuristic and meta-heuristic algorithms such as Genetic Algorithm (GA), tabu search algorithm, simulated annealing algorithm and partical swarm optimization algorithm have emerged. In this paper, the operating room scheduling problem is solved by the genetic algorithm. When coding the program, the C# programming language was preferred because of the visual advantages and user-friendliness of the language.en_US
dc.identifier.doi10.1007/978-3-030-36178-5_20
dc.identifier.endpage265en_US
dc.identifier.isbn978-3-030-36178-5; 978-3-030-36177-8
dc.identifier.issn2367-4512
dc.identifier.scopus2-s2.0-85083427078en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage252en_US
dc.identifier.urihttps://doi.org/10.1007/978-3-030-36178-5_20
dc.identifier.urihttps://hdl.handle.net/20.500.12684/10207
dc.identifier.volume43en_US
dc.identifier.wosWOS:000678771000020en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringer International Publishing Agen_US
dc.relation.ispartofArtificial Intelligence And Applied Mathematics In Engineering Problemsen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectOperating Room Schedulingen_US
dc.subjectGenetic Algorithmen_US
dc.subjectConstrained optimizationen_US
dc.titleEffect the Number of Reservations on Implementation of Operating Room Scheduling with Genetic Algorithmen_US
dc.typeConference Objecten_US

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