Genetic Algorithm for Teaching Distribution based on Lecturers’ Expertise
Corresponding Author(s) : Vivi Nur Wijayaningrum
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control,
Vol 4, No 4, November 2019
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- R. M. Felder and E. R. Henriques, “Learning and Teaching Styles In Foreign and Second Language Education,” Foreign Lang. Ann., vol. 28, no. 1, pp. 21–31, 1995.
- A. F. Grasha, Teaching With Style: A Practical Guide to Enhancing Learning by Understanding Teaching and Learning Styles. Pittsburgh: Alliance Publishers, 1996.
- M. A. Mawoli and A. Y. Babandako, “An Evaluation of Staff Motivation, Dissatisfaction and Job Performance in an Academic Setting,” Aust. J. Bus. Manag. Res., vol. 1, no. 9, pp. 1–13, 2011.
- A. R. Komijan and M. N. Koupaei, “A Mathematical Model for University Course Scheduling: A Case Study,” Int. J. Tech. Res. Appl., no. 19, pp. 20–25, 2017.
- N. A. H. Aizam and C. Y. Liong, “Mathematical Modelling of University Timetabling : A Mathematical Programming Approach,” Int. J. Appl. Math. Stat., vol. 37, no. 7, pp. 110–122, 2013.
- L. Urbanucci, “Limits and Potentials of Mixed Integer Linear Programming Methods for Optimization of Polygeneration Energy Systems,” Energy Procedia, vol. 148, pp. 1199–1205, 2018.
- R. Ganguli and S. Roy, “A Study on Course Timetable Scheduling using Graph Coloring Approach,” Int. J. Comput. Appl. Math., vol. 12, no. 2, pp. 469–485, 2017.
- M. A. Al-Betar and A. T. Khader, “A Harmony Search Algorithm for University Course Timetabling,” Ann. Oper. Res., vol. 194, no. 1, pp. 3–31, 2012.
- P. Gore, P. Sonawane, and S. Potdar, “Timetable Generation Using Ant Colony Optimization Algorithm,” Int. J. Innov. Res. Comput. Commun. Eng., vol. 5, no. 3, pp. 6033–6039, 2017.
- A. N. Syahputra, A. S. Kholimi, and L. Husniah, “Genetic Algorithm Application for Navigation System on Virtual Shop,” KINETIK, vol. 3, no. 4, pp. 311–318, 2018.
- Q. Kotimah, W. F. Mahmudy, and V. N. Wijayaningrum, “Optimization of Fuzzy Tsukamoto Membership Function using Genetic Algorithm to Determine the River Water,” Int. J. Electr. Comput. Eng., vol. 7, no. 5, pp. 2838–2846, 2017.
- X.-S. Yang, Nature-Inspired Metaheuristic Algorithms, Second Edi. Luniver Press, 2010.
- V. N. Wijayaningrum and W. F. Mahmudy, “Fodder composition optimization using modified genetic algorithm,” Indones. J. Electr. Eng. Informatics, vol. 7, no. 1, pp. 67–74, 2019.
- S. Malik and S. Wadhwa, “Preventing Premature Convergence in Genetic Algorithm Using DGCA and Elitist Technique,” Int. J. Adv. Res. Comput. Sci. Softw. Eng., vol. 4, no. 6, pp. 410–418, 2014.
- H. A. Taha, Operations Research: An Introduction, 8th Edi. New Jersey: Prentice Hall, 2007.
- A. Bedboudi, C. Bouras, and M. T. Kimour, “An Heterogeneous Population-Based Genetic Algorithm for Data Clustering,” Indones. J. Electr. Eng. Informatics, vol. 5, no. 3, pp. 275–284, 2017.
- V. N. Wijayaningrum, W. F. Mahmudy, and M. H. Natsir, “Optimization of Poultry Feed Composition using Hybrid Adaptive Genetic Algorithm and Simulated Annealing,” J. Telecommun. Electron. Comput. Eng., vol. 9, no. 2–8, pp. 183–187, 2017.
- J. Magalhães-Mendes, “A Comparative Study of Crossover Operators for Genetic Algorithms to Solve the Job Shop Scheduling Problem,” WSEAS Trans. Comput., vol. 12, no. 4, pp. 164–173, 2013.
- M. Mitchell, An Introduction to Genetic Algorithms. Cambridge, USA: MIT Press, 1998.
- R. L. Haupt and S. E. Haupt, Practical Genetic Algorithms. New York, USA: John Willey & Sons, Inc., 2004.
- A. E. Eiben and J. E. Smith, Introduction to Evolutionary Computing, Second Edi. Springer, 2015.
- V. N. Wijayaningrum and W. F. Mahmudy, “Optimization of Ship’s Route Scheduling Using Genetic Algorithm,” Indones. J. Electr. Eng. Comput. Sci., vol. 2, no. 1, pp. 180–186, 2016.
- W. F. Mahmudy, R. M. Marian, and L. H. S. Luong, “Real Coded Genetic Algorithms for Solving Flexible Job-Shop Scheduling Problem - Part II: Optimization,” Adv. Mater. Res., vol. 701, pp. 364–369, 2013.
References
R. M. Felder and E. R. Henriques, “Learning and Teaching Styles In Foreign and Second Language Education,” Foreign Lang. Ann., vol. 28, no. 1, pp. 21–31, 1995.
A. F. Grasha, Teaching With Style: A Practical Guide to Enhancing Learning by Understanding Teaching and Learning Styles. Pittsburgh: Alliance Publishers, 1996.
M. A. Mawoli and A. Y. Babandako, “An Evaluation of Staff Motivation, Dissatisfaction and Job Performance in an Academic Setting,” Aust. J. Bus. Manag. Res., vol. 1, no. 9, pp. 1–13, 2011.
A. R. Komijan and M. N. Koupaei, “A Mathematical Model for University Course Scheduling: A Case Study,” Int. J. Tech. Res. Appl., no. 19, pp. 20–25, 2017.
N. A. H. Aizam and C. Y. Liong, “Mathematical Modelling of University Timetabling : A Mathematical Programming Approach,” Int. J. Appl. Math. Stat., vol. 37, no. 7, pp. 110–122, 2013.
L. Urbanucci, “Limits and Potentials of Mixed Integer Linear Programming Methods for Optimization of Polygeneration Energy Systems,” Energy Procedia, vol. 148, pp. 1199–1205, 2018.
R. Ganguli and S. Roy, “A Study on Course Timetable Scheduling using Graph Coloring Approach,” Int. J. Comput. Appl. Math., vol. 12, no. 2, pp. 469–485, 2017.
M. A. Al-Betar and A. T. Khader, “A Harmony Search Algorithm for University Course Timetabling,” Ann. Oper. Res., vol. 194, no. 1, pp. 3–31, 2012.
P. Gore, P. Sonawane, and S. Potdar, “Timetable Generation Using Ant Colony Optimization Algorithm,” Int. J. Innov. Res. Comput. Commun. Eng., vol. 5, no. 3, pp. 6033–6039, 2017.
A. N. Syahputra, A. S. Kholimi, and L. Husniah, “Genetic Algorithm Application for Navigation System on Virtual Shop,” KINETIK, vol. 3, no. 4, pp. 311–318, 2018.
Q. Kotimah, W. F. Mahmudy, and V. N. Wijayaningrum, “Optimization of Fuzzy Tsukamoto Membership Function using Genetic Algorithm to Determine the River Water,” Int. J. Electr. Comput. Eng., vol. 7, no. 5, pp. 2838–2846, 2017.
X.-S. Yang, Nature-Inspired Metaheuristic Algorithms, Second Edi. Luniver Press, 2010.
V. N. Wijayaningrum and W. F. Mahmudy, “Fodder composition optimization using modified genetic algorithm,” Indones. J. Electr. Eng. Informatics, vol. 7, no. 1, pp. 67–74, 2019.
S. Malik and S. Wadhwa, “Preventing Premature Convergence in Genetic Algorithm Using DGCA and Elitist Technique,” Int. J. Adv. Res. Comput. Sci. Softw. Eng., vol. 4, no. 6, pp. 410–418, 2014.
H. A. Taha, Operations Research: An Introduction, 8th Edi. New Jersey: Prentice Hall, 2007.
A. Bedboudi, C. Bouras, and M. T. Kimour, “An Heterogeneous Population-Based Genetic Algorithm for Data Clustering,” Indones. J. Electr. Eng. Informatics, vol. 5, no. 3, pp. 275–284, 2017.
V. N. Wijayaningrum, W. F. Mahmudy, and M. H. Natsir, “Optimization of Poultry Feed Composition using Hybrid Adaptive Genetic Algorithm and Simulated Annealing,” J. Telecommun. Electron. Comput. Eng., vol. 9, no. 2–8, pp. 183–187, 2017.
J. Magalhães-Mendes, “A Comparative Study of Crossover Operators for Genetic Algorithms to Solve the Job Shop Scheduling Problem,” WSEAS Trans. Comput., vol. 12, no. 4, pp. 164–173, 2013.
M. Mitchell, An Introduction to Genetic Algorithms. Cambridge, USA: MIT Press, 1998.
R. L. Haupt and S. E. Haupt, Practical Genetic Algorithms. New York, USA: John Willey & Sons, Inc., 2004.
A. E. Eiben and J. E. Smith, Introduction to Evolutionary Computing, Second Edi. Springer, 2015.
V. N. Wijayaningrum and W. F. Mahmudy, “Optimization of Ship’s Route Scheduling Using Genetic Algorithm,” Indones. J. Electr. Eng. Comput. Sci., vol. 2, no. 1, pp. 180–186, 2016.
W. F. Mahmudy, R. M. Marian, and L. H. S. Luong, “Real Coded Genetic Algorithms for Solving Flexible Job-Shop Scheduling Problem - Part II: Optimization,” Adv. Mater. Res., vol. 701, pp. 364–369, 2013.