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

Fatih Ağalday; Ali Nizam

doi:10.38088/jise.1006070

EN

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

Abstract

Exam 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.

Keywords

Thanks

Mardin Artuklu Üniversitesine araştırmada veri sağladığı için teşekkür ederiz.

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Details

Primary Language

English

Subjects

Engineering

Journal Section

Research Article

Authors

Fatih Ağalday
0000-0002-2635-0661
Türkiye

Ali Nizam ^*
0000-0002-5613-0686
Türkiye

Publication Date

December 31, 2022

Submission Date

October 7, 2021

Acceptance Date

July 26, 2022

Published in Issue

Year 2022 Volume: 6 Number: 2

DOI

https://doi.org/10.38088/jise.1006070

IZ

https://izlik.org/JA49KJ24GM

Cite

RIS / Bibtex

APA

Ağalday, F., & Nizam, A. (2022). Performance Improvement of Genetic Algorithm Based Exam Seating Solution by Parameter Optimization. Journal of Innovative Science and Engineering, 6(2), 220-232. https://doi.org/10.38088/jise.1006070

AMA

1.Ağalday F, Nizam A. Performance Improvement of Genetic Algorithm Based Exam Seating Solution by Parameter Optimization. JISE. 2022;6(2):220-232. doi:10.38088/jise.1006070

Chicago

Ağalday, Fatih, and Ali Nizam. 2022. “Performance Improvement of Genetic Algorithm Based Exam Seating Solution by Parameter Optimization”. Journal of Innovative Science and Engineering 6 (2): 220-32. https://doi.org/10.38088/jise.1006070.

EndNote

Ağalday F, Nizam A (December 1, 2022) Performance Improvement of Genetic Algorithm Based Exam Seating Solution by Parameter Optimization. Journal of Innovative Science and Engineering 6 2 220–232.

IEEE

[1]F. Ağalday and A. Nizam, “Performance Improvement of Genetic Algorithm Based Exam Seating Solution by Parameter Optimization”, JISE, vol. 6, no. 2, pp. 220–232, Dec. 2022, doi: 10.38088/jise.1006070.

ISNAD

Ağalday, Fatih - Nizam, Ali. “Performance Improvement of Genetic Algorithm Based Exam Seating Solution by Parameter Optimization”. Journal of Innovative Science and Engineering 6/2 (December 1, 2022): 220-232. https://doi.org/10.38088/jise.1006070.

JAMA

1.Ağalday F, Nizam A. Performance Improvement of Genetic Algorithm Based Exam Seating Solution by Parameter Optimization. JISE. 2022;6:220–232.

MLA

Ağalday, Fatih, and Ali Nizam. “Performance Improvement of Genetic Algorithm Based Exam Seating Solution by Parameter Optimization”. Journal of Innovative Science and Engineering, vol. 6, no. 2, Dec. 2022, pp. 220-32, doi:10.38088/jise.1006070.

Vancouver

1.Fatih Ağalday, Ali Nizam. Performance Improvement of Genetic Algorithm Based Exam Seating Solution by Parameter Optimization. JISE. 2022 Dec. 1;6(2):220-32. doi:10.38088/jise.1006070

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

Abstract

Keywords

Öz

Thanks

References

Details

Primary Language

Subjects

Journal Section

Authors

Publication Date

Submission Date

Acceptance Date

Published in Issue

DOI

IZ

Cite