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References
- A. L. aro Bolaji, A. T. Khader, M. A. Al-Betar, and M. A. Awadallah, “University course timetabling using hybridized artificial bee colony with hill climbing optimizer,†J. Comput. Sci., vol. 5, no. 5, pp. 809–818, 2014, doi: 10.1016/j.jocs.2014.04.002.
- A. Siame and D. Kunda, “University Course Timetabling using Bayesian based Optimization Algorithm,†Int. J. Recent Contrib. from Eng. Sci. IT, vol. 6, no. 2, p. 14, 2018, doi: 10.3991/ijes.v6i2.8990.
- H. Rudová, T. Müller, and K. Murray, “Complex university course timetabling,†J. Sched., vol. 14, no. 2, pp. 187–207, 2011, doi: 10.1007/s10951-010-0171-3.
- S. Kumar and R. Pandey, “Automated university course timetable generator,†Int. J. Ind. Syst. Eng., vol. 36, no. 1, pp. 1–16, 2020, doi: 10.1504/IJISE.2020.109133.
- Z. Lü and J. K. Hao, “Adaptive Tabu Search for course timetabling,†Eur. J. Oper. Res., vol. 200, no. 1, pp. 235–244, 2010, doi: 10.1016/j.ejor.2008.12.007.
- M. Chen, X. Tang, T. Song, C. Wu, S. Liu, and X. Peng, “A Tabu search algorithm with controlled randomization for constructing feasible university course timetables,†Comput. Oper. Res., vol. 123, p. 105007, 2020, doi: 10.1016/j.cor.2020.105007.
- F. K. S. Dewi, “Pembangunan Perangkat Lunak Pembangkit Jadwal Kuliah dan Ujian Dengan Metode Pewarnaan Graf,†J. Buana Inform., vol. 1, no. 1, pp. 57–68, 2010, doi: 10.24002/jbi.v1i1.295.
- M. Wiladi, N. A. Rizki, and B. M. Salindeho, “Pengembangan Algoritma Welsh Powell Pada Penyusunan Jadwal Kuliah,†Pros. Semin. Nas. Mat. Stat. dan Apl., pp. 75–81, 2019.
- N. G. A. H. Saptarini, P. I. Ciptayani, and I. B. I. Purnama, “A custom-based crossover technique in genetic algorithm for course scheduling problem,†TEM J., vol. 9, no. 1, pp. 386–392, 2020, doi: 10.18421/TEM91-53.
- S. Limanto, N. Benarkah, and T. Adelia, “Thesis examination timetabling using genetic algorithm,†Int. Electron. Symp. Knowl. Creat. Intell. Comput. IES-KCIC 2018 - Proc., pp. 6–10, 2019, doi: 10.1109/KCIC.2018.8628572.
- R. Ansari and N. Saubari, “Application of genetic algorithm concept on course scheduling,†IOP Conf. Ser. Mater. Sci. Eng., vol. 821, no. 1, 2020, doi: 10.1088/1757-899X/821/1/012043.
- B. Naderi, “Modeling and Scheduling University Course Timetabling Problems,†Int. J. Res. Ind. Eng., vol. 5, no. 4, pp. 1–15, 2016, doi: 10.22105/riej.2017.49167.
- A. Gülcü and C. Akkan, “Robust university course timetabling problem subject to single and multiple disruptions,†Eur. J. Oper. Res., vol. 283, no. 2, pp. 630–646, 2020, doi: 10.1016/j.ejor.2019.11.024.
- A. Rezaeipanah, S. S. Matoori, and G. Ahmadi, “A hybrid algorithm for the university course timetabling problem using the improved parallel genetic algorithm and local search,†Appl. Intell., vol. 51, no. 1, pp. 467–492, 2021, doi: 10.1007/s10489-020-01833-x.
- S. L. Goh, G. Kendall, N. R. Sabar, and S. Abdullah, “An effective hybrid local search approach for the post enrolment course timetabling problem,†Opsearch, vol. 57, no. 4, pp. 1131–1163, 2020, doi: 10.1007/s12597-020-00444-x.
- A. M. Hambali, Y. A. Olasupo, and M. Dalhatu, “Automated university lecture timetable using Heuristic Approach,†Niger. J. Technol., vol. 39, no. 1, pp. 1–14, 2020, doi: 10.4314/njt.v39i1.1.
- M. Assi, B. Halawi, and R. A. Haraty, “Genetic Algorithm Analysis using the Graph Coloring Method for Solving the University Timetable Problem,†Procedia Comput. Sci., vol. 126, pp. 899–906, 2018, doi: 10.1016/j.procS.2018.08.024.
- Y. Sun, X. Luo, and X. Liu, “Optimization of A University Timetable Considering Building Energy Efficiency: An Approach based on the Building Controls Virtual Test Bed Platform using A Genetic Algorithm,†J. Build. Eng., vol. 35(102095), 2021.
- P. Yasari, M. Ranjbar, N. Jamili, and M. H. Shaelaie, “A two-stage stochastic programming approach for a multi-objective course timetabling problem with courses cancelation risk,†Comput. Ind. Eng., vol. 130, no. March, pp. 650–660, 2019, doi: 10.1016/j.cie.2019.02.050.
- D. S. Vianna, C. B. Martins, T. J. Lima, M. de F. D. Vianna, and E. B. M. Meza, “Hybrid VNS-TS heuristics for University Course Timetabling Problem,†Brazilian J. Oper. Prod. Manag., vol. 17, no. 1, pp. 1–20, 2020, doi: 10.14488/bjopm.2020.014.
- J. Nourmohammadi-Khiarak, Y. Zamani-Harghalani, and M. R. Feizi-Derakhshi, “Combined Multi-Agent Method to Control Inter-Department Common Events Collision for University Courses Timetabling,†J. Intell. Syst., vol. 29, no. 1, pp. 110–126, 2020, doi: 10.1515/jisys-2017-0249.
- A. Bouyer and N. Farajzadeh, “An Optimized K-Harmonic Means Algorithm Combined with Modified Particle Swarm Optimization and Cuckoo Search Algorithm,†J. Intell. Syst., vol. 29, no. 1, pp. 1–18, 2020, doi: 10.1515/jisys-2015-0009.
- H. Babaei, J. Karimpour, and A. Hadidi, “Applying Hybrid Fuzzy Multi-Criteria Decision-Making Approach to Find the Best Ranking for the Soft Constraint Weights of Lecturers in UCTP,†Int. J. Fuzzy Syst., vol. 20, no. 1, pp. 62–77, 2018, doi: 10.1007/s40815-017-0296-z.
- T. Thepphakorn and P. Pongcharoen, “Performance improvement strategies on Cuckoo Search algorithms for solving the university course timetabling problem,†Expert Syst. Appl., vol. 161, p. 113732, 2020, doi: 10.1016/j.eswa.2020.113732.
- S. Imran Hossain, M. A. H. Akhand, M. I. R. Shuvo, N. Siddique, and H. Adeli, “Optimization of University Course Scheduling Problem using Particle Swarm Optimization with Selective Search,†Expert Syst. Appl., vol. 127, pp. 9–24, 2019, doi: 10.1016/j.eswa.2019.02.026.
- C. Akkan and A. Gülcü, “A bi-criteria hybrid Genetic Algorithm with robustness objective for the course timetabling problem,†Comput. Oper. Res., vol. 90, pp. 22–32, 2018, doi: 10.1016/j.cor.2017.09.007.
References
A. L. aro Bolaji, A. T. Khader, M. A. Al-Betar, and M. A. Awadallah, “University course timetabling using hybridized artificial bee colony with hill climbing optimizer,†J. Comput. Sci., vol. 5, no. 5, pp. 809–818, 2014, doi: 10.1016/j.jocs.2014.04.002.
A. Siame and D. Kunda, “University Course Timetabling using Bayesian based Optimization Algorithm,†Int. J. Recent Contrib. from Eng. Sci. IT, vol. 6, no. 2, p. 14, 2018, doi: 10.3991/ijes.v6i2.8990.
H. Rudová, T. Müller, and K. Murray, “Complex university course timetabling,†J. Sched., vol. 14, no. 2, pp. 187–207, 2011, doi: 10.1007/s10951-010-0171-3.
S. Kumar and R. Pandey, “Automated university course timetable generator,†Int. J. Ind. Syst. Eng., vol. 36, no. 1, pp. 1–16, 2020, doi: 10.1504/IJISE.2020.109133.
Z. Lü and J. K. Hao, “Adaptive Tabu Search for course timetabling,†Eur. J. Oper. Res., vol. 200, no. 1, pp. 235–244, 2010, doi: 10.1016/j.ejor.2008.12.007.
M. Chen, X. Tang, T. Song, C. Wu, S. Liu, and X. Peng, “A Tabu search algorithm with controlled randomization for constructing feasible university course timetables,†Comput. Oper. Res., vol. 123, p. 105007, 2020, doi: 10.1016/j.cor.2020.105007.
F. K. S. Dewi, “Pembangunan Perangkat Lunak Pembangkit Jadwal Kuliah dan Ujian Dengan Metode Pewarnaan Graf,†J. Buana Inform., vol. 1, no. 1, pp. 57–68, 2010, doi: 10.24002/jbi.v1i1.295.
M. Wiladi, N. A. Rizki, and B. M. Salindeho, “Pengembangan Algoritma Welsh Powell Pada Penyusunan Jadwal Kuliah,†Pros. Semin. Nas. Mat. Stat. dan Apl., pp. 75–81, 2019.
N. G. A. H. Saptarini, P. I. Ciptayani, and I. B. I. Purnama, “A custom-based crossover technique in genetic algorithm for course scheduling problem,†TEM J., vol. 9, no. 1, pp. 386–392, 2020, doi: 10.18421/TEM91-53.
S. Limanto, N. Benarkah, and T. Adelia, “Thesis examination timetabling using genetic algorithm,†Int. Electron. Symp. Knowl. Creat. Intell. Comput. IES-KCIC 2018 - Proc., pp. 6–10, 2019, doi: 10.1109/KCIC.2018.8628572.
R. Ansari and N. Saubari, “Application of genetic algorithm concept on course scheduling,†IOP Conf. Ser. Mater. Sci. Eng., vol. 821, no. 1, 2020, doi: 10.1088/1757-899X/821/1/012043.
B. Naderi, “Modeling and Scheduling University Course Timetabling Problems,†Int. J. Res. Ind. Eng., vol. 5, no. 4, pp. 1–15, 2016, doi: 10.22105/riej.2017.49167.
A. Gülcü and C. Akkan, “Robust university course timetabling problem subject to single and multiple disruptions,†Eur. J. Oper. Res., vol. 283, no. 2, pp. 630–646, 2020, doi: 10.1016/j.ejor.2019.11.024.
A. Rezaeipanah, S. S. Matoori, and G. Ahmadi, “A hybrid algorithm for the university course timetabling problem using the improved parallel genetic algorithm and local search,†Appl. Intell., vol. 51, no. 1, pp. 467–492, 2021, doi: 10.1007/s10489-020-01833-x.
S. L. Goh, G. Kendall, N. R. Sabar, and S. Abdullah, “An effective hybrid local search approach for the post enrolment course timetabling problem,†Opsearch, vol. 57, no. 4, pp. 1131–1163, 2020, doi: 10.1007/s12597-020-00444-x.
A. M. Hambali, Y. A. Olasupo, and M. Dalhatu, “Automated university lecture timetable using Heuristic Approach,†Niger. J. Technol., vol. 39, no. 1, pp. 1–14, 2020, doi: 10.4314/njt.v39i1.1.
M. Assi, B. Halawi, and R. A. Haraty, “Genetic Algorithm Analysis using the Graph Coloring Method for Solving the University Timetable Problem,†Procedia Comput. Sci., vol. 126, pp. 899–906, 2018, doi: 10.1016/j.procS.2018.08.024.
Y. Sun, X. Luo, and X. Liu, “Optimization of A University Timetable Considering Building Energy Efficiency: An Approach based on the Building Controls Virtual Test Bed Platform using A Genetic Algorithm,†J. Build. Eng., vol. 35(102095), 2021.
P. Yasari, M. Ranjbar, N. Jamili, and M. H. Shaelaie, “A two-stage stochastic programming approach for a multi-objective course timetabling problem with courses cancelation risk,†Comput. Ind. Eng., vol. 130, no. March, pp. 650–660, 2019, doi: 10.1016/j.cie.2019.02.050.
D. S. Vianna, C. B. Martins, T. J. Lima, M. de F. D. Vianna, and E. B. M. Meza, “Hybrid VNS-TS heuristics for University Course Timetabling Problem,†Brazilian J. Oper. Prod. Manag., vol. 17, no. 1, pp. 1–20, 2020, doi: 10.14488/bjopm.2020.014.
J. Nourmohammadi-Khiarak, Y. Zamani-Harghalani, and M. R. Feizi-Derakhshi, “Combined Multi-Agent Method to Control Inter-Department Common Events Collision for University Courses Timetabling,†J. Intell. Syst., vol. 29, no. 1, pp. 110–126, 2020, doi: 10.1515/jisys-2017-0249.
A. Bouyer and N. Farajzadeh, “An Optimized K-Harmonic Means Algorithm Combined with Modified Particle Swarm Optimization and Cuckoo Search Algorithm,†J. Intell. Syst., vol. 29, no. 1, pp. 1–18, 2020, doi: 10.1515/jisys-2015-0009.
H. Babaei, J. Karimpour, and A. Hadidi, “Applying Hybrid Fuzzy Multi-Criteria Decision-Making Approach to Find the Best Ranking for the Soft Constraint Weights of Lecturers in UCTP,†Int. J. Fuzzy Syst., vol. 20, no. 1, pp. 62–77, 2018, doi: 10.1007/s40815-017-0296-z.
T. Thepphakorn and P. Pongcharoen, “Performance improvement strategies on Cuckoo Search algorithms for solving the university course timetabling problem,†Expert Syst. Appl., vol. 161, p. 113732, 2020, doi: 10.1016/j.eswa.2020.113732.
S. Imran Hossain, M. A. H. Akhand, M. I. R. Shuvo, N. Siddique, and H. Adeli, “Optimization of University Course Scheduling Problem using Particle Swarm Optimization with Selective Search,†Expert Syst. Appl., vol. 127, pp. 9–24, 2019, doi: 10.1016/j.eswa.2019.02.026.
C. Akkan and A. Gülcü, “A bi-criteria hybrid Genetic Algorithm with robustness objective for the course timetabling problem,†Comput. Oper. Res., vol. 90, pp. 22–32, 2018, doi: 10.1016/j.cor.2017.09.007.