Performance Improvement of Genetic Algorithm Based Exam Seating Solution by Parameter Optimization

Basit Öğe Kaydı
dc.contributor.authorAğalday, Fatih
dc.contributor.authorNizam, Ali
dc.date.accessioned2026-02-08T15:04:47Z
dc.date.available2026-02-08T15:04:47Z
dc.date.issued2022
dc.departmentBursa Teknik Üniversitesi
dc.description.abstractExam seat allocation has become a complex problem, with an increasing number of students, subjects, exams, departments, and rooms in higher education institutions. The requirements and constraints of this problem demonstrate characteristics similar to extensively researched exam timetabling problems. They plan for a limited capacity effectively and efficiently. Additionally, exam seating requires a seating arrangement to reduce the number of cheating incidents. In the literature, several genetic algorithm-based methods have been recommended to prevent students, who are close friends, from sitting close during the exams while providing the best exam session arrangement. We improved the performance of the genetic algorithm using parameter optimization and a new elitism method to increase the saturation rate and accuracy. The algorithm was tested on a real-world dataset and demonstrated high potential for the realization of a high-quality seating arrangement compatible with the requirements of educational institutions.
dc.identifier.doi10.38088/jise.1006070
dc.identifier.endpage232
dc.identifier.issn2602-4217
dc.identifier.issue2
dc.identifier.startpage220
dc.identifier.urihttps://doi.org/10.38088/jise.1006070
dc.identifier.urihttps://hdl.handle.net/20.500.12885/4185
dc.identifier.volume6
dc.language.isoen
dc.publisherBursa Teknik Üniversitesi
dc.relation.ispartofJournal of Innovative Science and Engineering
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_DergiPark_20260207
dc.subjectEngineering
dc.subjectMühendislik
dc.titlePerformance Improvement of Genetic Algorithm Based Exam Seating Solution by Parameter Optimization
dc.typeArticle

Dosyalar

Koleksiyon

Journal of Innovative Science and Engineering Koleksiyonu